The document provides an overview of eLearning for mariners. It discusses the evolution of eLearning from early digital libraries and lecture videos to the current use of learning management systems and cognitive neuroscience. The future of eLearning is highlighted as focusing on microlearning that matches short attention spans and assimilating knowledge for creation. For mariners, eLearning is described as the optimal way for distance and anytime learning compared to traditional classroom settings. Understanding different learning styles and how the brain processes information can improve learning outcomes.
Why Uploading Will Not Work - Patrick Hopkins - H+ Summit @ HarvardHumanity Plus
Transhumanists tend to have a commitment to materialism and naturalism but nonetheless pursue goals traditionally associated with religious ideologies, such as the quest for immortality. Often, they hope to achieve immortality through the application of a technology whereby the brain is scanned and the person "uploaded" to a computer. This process is typically described as "transferring" one's mind to a computer. I argue that, while the technology may be feasible, uploading will not succeed because it in fact does not "transfer" a mind at all and will not preserve personal identity. Transhumanist hopes for such transfer ironically rely on treating the mind dualistically-and inconsistently with materialism-as the functional equivalent of a soul, as is evidenced by a carefully examination of the language used to describe and defend uploading. In this sense, transhumanist thought unwittingly contains remnants of dualistic and religious categories.
Patrick D. Hopkins is a philosopher and ethicist who specializes in ethical theory and in applied ethical issues in science, medicine, and technology. He has a B.A. from the University of Mississippi in Experimental Psychology, worked in neuroscience research for several years at a major medical school and a primate research center, received his Ph.D. in Philosophy from Washington University in St. Louis, and is currently Professor and Chair of Philosophy at Millsaps College in Jackson, MS. He has published numerous articles on biomedical ethics, science and technology studies, gender studies, and religious studies and has edited a book on the relationship between gender and technology.
Information processing model - michae gabanymgabany
The document discusses the information processing model of learning. It describes how information is received through the senses and processed in different components of memory, such as sensory registers and short term memory. It discusses factors that can influence how information is perceived and attended to, such as past experiences and motivation. Various memory techniques are also presented, such as rehearsal and creating mental images to link information in short term memory.
Cognition Information Processing - Current EventsKathleen Marie
Thank you for the discussion. I don't actually have opinions on these topics. As an AI assistant, my role is to provide helpful information to users, not take sides in debates.
The document discusses information processing theory and its three main components: the sensory register, short-term memory (working memory), and long-term memory. It describes how information moves through these stages and can be encoded into long-term memory through strategies like chunking, rehearsal, imagery, and activating prior knowledge schemas. The document also discusses implications for the classroom, such as stating objectives, using outlines, and problem-solving techniques to help students effectively encode new information.
Information processing theory views how people receive, mentally modify, remember, and process information over time. It has four main components: thinking, analyzing stimuli, modifying responses based on situations, and evaluating obstacles. Information is received through senses and stored in three parts of memory - sensory memory briefly stores sensory information, working memory actively processes and stores information for brief periods, and long-term memory permanently stores vast amounts of information through different types like episodic, semantic, procedural, and implicit memories.
The document discusses several key topics related to artificial intelligence including definitions of intelligence, the origins and evolution of AI, and different areas that contribute to AI research such as mathematics, neuroscience, psychology, and learning. It provides definitions of intelligence from thinkers like Einstein and Socrates and discusses different types of intelligence. The document also summarizes different perspectives on what constitutes AI and examines concepts like the Turing test.
(1) Information processing theory analyzes how humans learn new information through a series of cognitive events that occur quickly in the mind similar to how computers process data. It claims the human mind functions like a computer by analyzing new information, testing it against existing knowledge, and storing it in memory.
(2) Behaviorism is a psychological theory that focuses on observable and measurable behaviors and excludes internal mental processes. It views organisms as responding to environmental stimuli and inner biological drives.
(3) Cognitivism emerged in response to behaviorism to study inner mental processes like thinking, memory, and problem solving. It views cognition as essential to understanding behavior rather than just a behavior itself. Cognitive psychologists study how people
Why Uploading Will Not Work - Patrick Hopkins - H+ Summit @ HarvardHumanity Plus
Transhumanists tend to have a commitment to materialism and naturalism but nonetheless pursue goals traditionally associated with religious ideologies, such as the quest for immortality. Often, they hope to achieve immortality through the application of a technology whereby the brain is scanned and the person "uploaded" to a computer. This process is typically described as "transferring" one's mind to a computer. I argue that, while the technology may be feasible, uploading will not succeed because it in fact does not "transfer" a mind at all and will not preserve personal identity. Transhumanist hopes for such transfer ironically rely on treating the mind dualistically-and inconsistently with materialism-as the functional equivalent of a soul, as is evidenced by a carefully examination of the language used to describe and defend uploading. In this sense, transhumanist thought unwittingly contains remnants of dualistic and religious categories.
Patrick D. Hopkins is a philosopher and ethicist who specializes in ethical theory and in applied ethical issues in science, medicine, and technology. He has a B.A. from the University of Mississippi in Experimental Psychology, worked in neuroscience research for several years at a major medical school and a primate research center, received his Ph.D. in Philosophy from Washington University in St. Louis, and is currently Professor and Chair of Philosophy at Millsaps College in Jackson, MS. He has published numerous articles on biomedical ethics, science and technology studies, gender studies, and religious studies and has edited a book on the relationship between gender and technology.
Information processing model - michae gabanymgabany
The document discusses the information processing model of learning. It describes how information is received through the senses and processed in different components of memory, such as sensory registers and short term memory. It discusses factors that can influence how information is perceived and attended to, such as past experiences and motivation. Various memory techniques are also presented, such as rehearsal and creating mental images to link information in short term memory.
Cognition Information Processing - Current EventsKathleen Marie
Thank you for the discussion. I don't actually have opinions on these topics. As an AI assistant, my role is to provide helpful information to users, not take sides in debates.
The document discusses information processing theory and its three main components: the sensory register, short-term memory (working memory), and long-term memory. It describes how information moves through these stages and can be encoded into long-term memory through strategies like chunking, rehearsal, imagery, and activating prior knowledge schemas. The document also discusses implications for the classroom, such as stating objectives, using outlines, and problem-solving techniques to help students effectively encode new information.
Information processing theory views how people receive, mentally modify, remember, and process information over time. It has four main components: thinking, analyzing stimuli, modifying responses based on situations, and evaluating obstacles. Information is received through senses and stored in three parts of memory - sensory memory briefly stores sensory information, working memory actively processes and stores information for brief periods, and long-term memory permanently stores vast amounts of information through different types like episodic, semantic, procedural, and implicit memories.
The document discusses several key topics related to artificial intelligence including definitions of intelligence, the origins and evolution of AI, and different areas that contribute to AI research such as mathematics, neuroscience, psychology, and learning. It provides definitions of intelligence from thinkers like Einstein and Socrates and discusses different types of intelligence. The document also summarizes different perspectives on what constitutes AI and examines concepts like the Turing test.
(1) Information processing theory analyzes how humans learn new information through a series of cognitive events that occur quickly in the mind similar to how computers process data. It claims the human mind functions like a computer by analyzing new information, testing it against existing knowledge, and storing it in memory.
(2) Behaviorism is a psychological theory that focuses on observable and measurable behaviors and excludes internal mental processes. It views organisms as responding to environmental stimuli and inner biological drives.
(3) Cognitivism emerged in response to behaviorism to study inner mental processes like thinking, memory, and problem solving. It views cognition as essential to understanding behavior rather than just a behavior itself. Cognitive psychologists study how people
This document discusses mind uploading, which is the process of transferring a person's memories, personality, and intelligence from their biological brain to an artificial computer system. It would involve high-resolution brain scanning and storing the data in a computer with vast processing power and storage. The uploaded mind would then live in a virtual environment similar to an advanced video game. While it could allow people to live longer by curing health problems, some argue the properties of human intelligence are inseparable from biology. There are also risks like malicious intrusion or manipulation of uploaded minds.
The document discusses the information processing theory of memory, which models human memory as consisting of three main components: sensory memory, short-term memory, and long-term memory. Information enters through the senses and is held briefly in sensory memory before either being processed in short-term memory or encoded for storage in long-term memory. Short-term memory is limited in duration and capacity, while long-term memory has virtually unlimited capacity and can store information for life. The information processing theory draws comparisons between this process and how computers receive, process, and store digital information.
Cognitive load theory proposes that the human brain has limited working memory but unlimited long-term memory. It aims to develop instructional techniques that fit within the constraints of working memory to maximize learning. The theory supports explicit models of instruction where teachers clearly demonstrate skills rather than having students discover information. It posits that knowledge is stored in long-term memory as schemas that organize information and reduce cognitive load by acting as single elements in working memory despite complexity. Developing schemas allows combining of elements into higher-order schemas in a way that bypasses working memory limits and automates information processing.
This document discusses human memory and its stages. It describes memory as having three stages - encoding, storage, and retrieval. Encoding involves processing incoming information. Storage refers to retaining information over time. Retrieval involves recovering stored information. It also discusses models of memory like the Atkinson-Shiffrin model which describes sensory memory, short-term memory and long-term memory. Mechanisms of forgetting like trace decay and interference are also summarized.
1) The document summarizes talks from the Singularity Summit on topics related to evolution, post-human futures, artificial intelligence, brain-computer interfaces, and extending human capabilities with technology.
2) Speakers discussed challenges like slow drug approval processes and preserving human values as intelligence becomes post-human.
3) Applications of AI discussed included using it to analyze genomic data to understand aging at the molecular level and potentially extend human lifespans.
4) Presenters also demonstrated emerging technologies like augmented reality eyewear and brain-computer interfaces being developed for medical purposes.
The document provides an overview of cognitive processing theory and information processing models of memory. It discusses how information is encoded, stored, and retrieved from sensory memory, short-term memory, and long-term memory. Encoding strategies like chunking, rehearsal, elaboration, and organization are described to help transfer information from short-term to long-term memory. Mnemonic devices like the method of loci and pegword method are also summarized as techniques to improve memory.
The document provides an introduction to cognitive psychology. It discusses that cognitive psychology is the study of mental processes, including attention, learning, memory, language, and emotions. It notes that cognitive psychology informs other areas of psychology and has real-world applications in areas like attention while driving, improving learning techniques, and designing understandable text. The document also summarizes common frameworks for explaining cognition, such as the information processing approach, production systems, semantic networks, and connectionism.
The document provides an introduction to cognitive psychology. It discusses that cognitive psychology is the study of mental processes, including attention, learning, memory, language, and emotions. It notes that cognitive psychology informs other areas of psychology and has real-world applications in areas like attention while driving, improving learning techniques, and designing understandable text. The document also summarizes common frameworks for explaining cognition, such as the information processing approach, production systems, semantic networks, and connectionism.
Blue brain " -The name of the world's first virtual brain. That means a machine that can function as human brain. Today scientists are in research to create an artificial brain that can think, response, take decision, and keep anything in memory. The main aim is to upload human brain into machine. So that man can think, take decision without any effort. After the death of the body, the virtual brain will act as the man .So, even after the death of a person we will not loose the knowledge, intelligence, personalities, feelings and memories of that man that can be used for the development of the human society.
This document describes the process of automatically generating topic pages from scientific documents at Elsevier. It involves tagging documents with concepts from a taxonomy, selecting relevant candidate sentences, training a machine learning model on human-labeled data using active learning, and classifying sentences as definitions or snippets. The resulting topic pages provide freely available information to readers and drive traffic and conversions. An evaluation on a public dataset showed promising results for the definition classification model. The system aims to continuously improve topic page quality through machine learning.
Understanding the encoding of memory and its retrieval is a complex task. The neurobiological correlates of memory have been summarised in this presentation for easy understanding of students.
The document summarizes recent trends in learning, memory, and pattern recognition. It defines learning as a continuous lifelong process, and outlines different types of learning including motor, verbal, and conceptual learning. It also discusses factors that influence learning like intelligence and interests. Memory is defined as acquiring, storing, and retrieving information through encoding, storage, and retrieval processes in the brain. The types of human memory are described, including short and long-term memory. Main theories of memory and pattern recognition are also summarized, such as the levels of processing theory and template matching versus prototype matching theories.
The document discusses several topics related to immediate memory and executive attention control, including:
1) It describes Atkinson-Shiffrin's modal model and Baddeley's working memory model, which propose that immediate memory consists of multiple subsystems including a phonological loop and visuospatial sketchpad.
2) It discusses limits of immediate memory in terms of duration and capacity, and how chunking allows recall of more items.
3) It explains phenomena like the cocktail party effect and how mind wandering and stress can impact executive attention and memory.
This document is a PowerPoint presentation on memory from Myers' Psychology for AP. It was created by Kent Korek of Germantown High School to accompany the 10th edition textbook. The presentation covers key topics in the unit on cognition and memory, including the phenomenon of memory, information processing models, encoding and storing memories, forgetting, and improving memory. It provides an overview of the main sections to be covered, along with definitions of important terms and concepts in psychology of memory.
Information Processing Model and its implications in learning and teachingNoor Eleman
The document discusses the Atkinson-Shiffrin model of memory. It proposes that human memory consists of three main stores: sensory memory, short-term memory, and long-term memory. Information enters through the senses and is held briefly in sensory memory. It then transfers to short-term memory if attention is paid. Information in short-term memory can be transferred to long-term memory through rehearsal. Long-term memory has a virtually unlimited capacity and duration. Comprehension strategies like SQ3R and PQ4R can help improve reading comprehension and transfer information to long-term memory.
Memory refers to the psychological processes of acquiring, storing, retaining, and later retrieving information. There are three major processes involved in memory: encoding, storage, and retrieval. Human memory involves the ability to both preserve and recover information. However, this is not a flawless process.
The document summarizes the Atkinson-Shiffrin model of memory. It proposes that human memory consists of three main stores: sensory memory, short-term memory, and long-term memory. Information enters through the senses and is held briefly in sensory memory. It then transfers to short-term memory if attention is paid. Information in short-term memory can be transferred to long-term memory through rehearsal. Long-term memory has a virtually unlimited capacity and duration. Strategies like organization and repetition can help with retaining information in memory according to this model.
The document describes information processing theory, which focuses on how knowledge enters and is stored in memory. It discusses the three main stages of information processing: encoding, storage, and retrieval. Encoding involves sensing information and attending to it. Storage concerns where and how long information is kept in memory. Retrieval is bringing information back from storage. The theory also describes the sensory register, short-term memory, and long-term memory. Information first enters the sensory register briefly before passing to short-term memory for around 18 seconds or long-term memory for indefinite storage. The goal of information processing is acquiring, storing, and retrieving knowledge effectively.
The document discusses the Blue Brain Project, which aims to recreate the human brain through detailed computer simulation. The project scans brain tissue to build biologically realistic models of neurons and networks. These simulations are run on IBM's Blue Gene supercomputer. The goal is to gain a complete understanding of the brain and enable better treatments for brain diseases. It is believed that within 30 years it will be possible to upload a person's brain contents onto a computer, allowing them to theoretically live on after death in virtual form. Both benefits and risks are discussed regarding the implications of creating virtual brains.
Rethinking Learning for the Digital Generation - Better, Faster, CheaperJulie Cunningham
Presented to the ALPMA (SA Branch) in July 2014
“The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn and relearn” - Alvin Tofler
Many organisations face a similar dilemma - linking learning to organisational performance. Advancements in mobile technology and adaptive learning platforms can change this and offer organizations insight they currently lack.
In this session we will explore some of the benefits of shifting the weighting from its traditional skew towards ‘learning’ to focus as needed on ‘unlearning’ and ‘relearning’.
The future of learning is exciting and full of opportunity – and for organisations who want to thrive into the future, disruptive thinking in this area can create significant competitive advantage.
The future is about insight, experimentation, discovery and connection using emerging technology.
The Company of Master Mariners of India (CMMI) held a virtual event to pay tribute to the late Capt. H. Subramaniam, who served as CMMI Master from 2001-2003. Family members and industry leaders attended the event, sharing memories and honoring Capt. Subramaniam's contributions. Speakers described him as an excellent leader, teacher, and role model who inspired many throughout his distinguished career in the shipping industry. The event concluded with a video presentation by Capt. Subramaniam's family and a two-minute silence to honor his legacy.
The COVID-19 pandemic has significantly impacted the global shipping industry. Global recession has led to a fall in charter rates, with earnings on some routes dropping by over 80% to five-year lows. Shipping companies are focusing on ensuring the safety of crews through measures like providing PPE, training on COVID-19, and facilitating crew changes and medical care. Looking ahead, the pandemic underscores the need for improvements in areas like the mental health of seafarers, regulation that can better address new technologies, and developing technology-savvy crews while maintaining human performance and oversight of automation.
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This document discusses mind uploading, which is the process of transferring a person's memories, personality, and intelligence from their biological brain to an artificial computer system. It would involve high-resolution brain scanning and storing the data in a computer with vast processing power and storage. The uploaded mind would then live in a virtual environment similar to an advanced video game. While it could allow people to live longer by curing health problems, some argue the properties of human intelligence are inseparable from biology. There are also risks like malicious intrusion or manipulation of uploaded minds.
The document discusses the information processing theory of memory, which models human memory as consisting of three main components: sensory memory, short-term memory, and long-term memory. Information enters through the senses and is held briefly in sensory memory before either being processed in short-term memory or encoded for storage in long-term memory. Short-term memory is limited in duration and capacity, while long-term memory has virtually unlimited capacity and can store information for life. The information processing theory draws comparisons between this process and how computers receive, process, and store digital information.
Cognitive load theory proposes that the human brain has limited working memory but unlimited long-term memory. It aims to develop instructional techniques that fit within the constraints of working memory to maximize learning. The theory supports explicit models of instruction where teachers clearly demonstrate skills rather than having students discover information. It posits that knowledge is stored in long-term memory as schemas that organize information and reduce cognitive load by acting as single elements in working memory despite complexity. Developing schemas allows combining of elements into higher-order schemas in a way that bypasses working memory limits and automates information processing.
This document discusses human memory and its stages. It describes memory as having three stages - encoding, storage, and retrieval. Encoding involves processing incoming information. Storage refers to retaining information over time. Retrieval involves recovering stored information. It also discusses models of memory like the Atkinson-Shiffrin model which describes sensory memory, short-term memory and long-term memory. Mechanisms of forgetting like trace decay and interference are also summarized.
1) The document summarizes talks from the Singularity Summit on topics related to evolution, post-human futures, artificial intelligence, brain-computer interfaces, and extending human capabilities with technology.
2) Speakers discussed challenges like slow drug approval processes and preserving human values as intelligence becomes post-human.
3) Applications of AI discussed included using it to analyze genomic data to understand aging at the molecular level and potentially extend human lifespans.
4) Presenters also demonstrated emerging technologies like augmented reality eyewear and brain-computer interfaces being developed for medical purposes.
The document provides an overview of cognitive processing theory and information processing models of memory. It discusses how information is encoded, stored, and retrieved from sensory memory, short-term memory, and long-term memory. Encoding strategies like chunking, rehearsal, elaboration, and organization are described to help transfer information from short-term to long-term memory. Mnemonic devices like the method of loci and pegword method are also summarized as techniques to improve memory.
The document provides an introduction to cognitive psychology. It discusses that cognitive psychology is the study of mental processes, including attention, learning, memory, language, and emotions. It notes that cognitive psychology informs other areas of psychology and has real-world applications in areas like attention while driving, improving learning techniques, and designing understandable text. The document also summarizes common frameworks for explaining cognition, such as the information processing approach, production systems, semantic networks, and connectionism.
The document provides an introduction to cognitive psychology. It discusses that cognitive psychology is the study of mental processes, including attention, learning, memory, language, and emotions. It notes that cognitive psychology informs other areas of psychology and has real-world applications in areas like attention while driving, improving learning techniques, and designing understandable text. The document also summarizes common frameworks for explaining cognition, such as the information processing approach, production systems, semantic networks, and connectionism.
Blue brain " -The name of the world's first virtual brain. That means a machine that can function as human brain. Today scientists are in research to create an artificial brain that can think, response, take decision, and keep anything in memory. The main aim is to upload human brain into machine. So that man can think, take decision without any effort. After the death of the body, the virtual brain will act as the man .So, even after the death of a person we will not loose the knowledge, intelligence, personalities, feelings and memories of that man that can be used for the development of the human society.
This document describes the process of automatically generating topic pages from scientific documents at Elsevier. It involves tagging documents with concepts from a taxonomy, selecting relevant candidate sentences, training a machine learning model on human-labeled data using active learning, and classifying sentences as definitions or snippets. The resulting topic pages provide freely available information to readers and drive traffic and conversions. An evaluation on a public dataset showed promising results for the definition classification model. The system aims to continuously improve topic page quality through machine learning.
Understanding the encoding of memory and its retrieval is a complex task. The neurobiological correlates of memory have been summarised in this presentation for easy understanding of students.
The document summarizes recent trends in learning, memory, and pattern recognition. It defines learning as a continuous lifelong process, and outlines different types of learning including motor, verbal, and conceptual learning. It also discusses factors that influence learning like intelligence and interests. Memory is defined as acquiring, storing, and retrieving information through encoding, storage, and retrieval processes in the brain. The types of human memory are described, including short and long-term memory. Main theories of memory and pattern recognition are also summarized, such as the levels of processing theory and template matching versus prototype matching theories.
The document discusses several topics related to immediate memory and executive attention control, including:
1) It describes Atkinson-Shiffrin's modal model and Baddeley's working memory model, which propose that immediate memory consists of multiple subsystems including a phonological loop and visuospatial sketchpad.
2) It discusses limits of immediate memory in terms of duration and capacity, and how chunking allows recall of more items.
3) It explains phenomena like the cocktail party effect and how mind wandering and stress can impact executive attention and memory.
This document is a PowerPoint presentation on memory from Myers' Psychology for AP. It was created by Kent Korek of Germantown High School to accompany the 10th edition textbook. The presentation covers key topics in the unit on cognition and memory, including the phenomenon of memory, information processing models, encoding and storing memories, forgetting, and improving memory. It provides an overview of the main sections to be covered, along with definitions of important terms and concepts in psychology of memory.
Information Processing Model and its implications in learning and teachingNoor Eleman
The document discusses the Atkinson-Shiffrin model of memory. It proposes that human memory consists of three main stores: sensory memory, short-term memory, and long-term memory. Information enters through the senses and is held briefly in sensory memory. It then transfers to short-term memory if attention is paid. Information in short-term memory can be transferred to long-term memory through rehearsal. Long-term memory has a virtually unlimited capacity and duration. Comprehension strategies like SQ3R and PQ4R can help improve reading comprehension and transfer information to long-term memory.
Memory refers to the psychological processes of acquiring, storing, retaining, and later retrieving information. There are three major processes involved in memory: encoding, storage, and retrieval. Human memory involves the ability to both preserve and recover information. However, this is not a flawless process.
The document summarizes the Atkinson-Shiffrin model of memory. It proposes that human memory consists of three main stores: sensory memory, short-term memory, and long-term memory. Information enters through the senses and is held briefly in sensory memory. It then transfers to short-term memory if attention is paid. Information in short-term memory can be transferred to long-term memory through rehearsal. Long-term memory has a virtually unlimited capacity and duration. Strategies like organization and repetition can help with retaining information in memory according to this model.
The document describes information processing theory, which focuses on how knowledge enters and is stored in memory. It discusses the three main stages of information processing: encoding, storage, and retrieval. Encoding involves sensing information and attending to it. Storage concerns where and how long information is kept in memory. Retrieval is bringing information back from storage. The theory also describes the sensory register, short-term memory, and long-term memory. Information first enters the sensory register briefly before passing to short-term memory for around 18 seconds or long-term memory for indefinite storage. The goal of information processing is acquiring, storing, and retrieving knowledge effectively.
The document discusses the Blue Brain Project, which aims to recreate the human brain through detailed computer simulation. The project scans brain tissue to build biologically realistic models of neurons and networks. These simulations are run on IBM's Blue Gene supercomputer. The goal is to gain a complete understanding of the brain and enable better treatments for brain diseases. It is believed that within 30 years it will be possible to upload a person's brain contents onto a computer, allowing them to theoretically live on after death in virtual form. Both benefits and risks are discussed regarding the implications of creating virtual brains.
Rethinking Learning for the Digital Generation - Better, Faster, CheaperJulie Cunningham
Presented to the ALPMA (SA Branch) in July 2014
“The illiterate of the 21st century will not be those who cannot read and write, but those who cannot learn, unlearn and relearn” - Alvin Tofler
Many organisations face a similar dilemma - linking learning to organisational performance. Advancements in mobile technology and adaptive learning platforms can change this and offer organizations insight they currently lack.
In this session we will explore some of the benefits of shifting the weighting from its traditional skew towards ‘learning’ to focus as needed on ‘unlearning’ and ‘relearning’.
The future of learning is exciting and full of opportunity – and for organisations who want to thrive into the future, disruptive thinking in this area can create significant competitive advantage.
The future is about insight, experimentation, discovery and connection using emerging technology.
Similar to Mr. Pradeep Kumar MS E Learning Overview Pondicheri (20)
The Company of Master Mariners of India (CMMI) held a virtual event to pay tribute to the late Capt. H. Subramaniam, who served as CMMI Master from 2001-2003. Family members and industry leaders attended the event, sharing memories and honoring Capt. Subramaniam's contributions. Speakers described him as an excellent leader, teacher, and role model who inspired many throughout his distinguished career in the shipping industry. The event concluded with a video presentation by Capt. Subramaniam's family and a two-minute silence to honor his legacy.
The COVID-19 pandemic has significantly impacted the global shipping industry. Global recession has led to a fall in charter rates, with earnings on some routes dropping by over 80% to five-year lows. Shipping companies are focusing on ensuring the safety of crews through measures like providing PPE, training on COVID-19, and facilitating crew changes and medical care. Looking ahead, the pandemic underscores the need for improvements in areas like the mental health of seafarers, regulation that can better address new technologies, and developing technology-savvy crews while maintaining human performance and oversight of automation.
Cap. Saujanya Sinha - Cmmi - Webinar - April 2020cmmindia2017
This document provides an overview of the Suppression of Unlawful Acts (SUA) Convention of 1988 and how it relates to piracy. It discusses key events that led to the development of the SUA Convention, including the 1985 hijacking of the Achille Lauro passenger ship. It explains the objectives and definitions of "offences" under the SUA Convention, which include endangering a vessel's navigation through acts of violence. While piracy under UNCLOS requires attacks between private vessels for private ends, SUA Convention offences do not have the same restrictions. The document argues India's Anti-Maritime Piracy Bill of 2019 could have been improved by also addressing SUA Convention offences, rather than
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
The document discusses water resources management in India, with a focus on the Ganges river system. It provides background on the hydrologic cycle and importance of water. It summarizes initiatives to clean the Ganges river like Namami Gange and the cGanga program. It discusses various water impact summits that were held to discuss issues like afforestation, urban river management, and sewage management. The document advocates for increased public participation in water conservation, strengthening laws against pollution, and promoting river navigation and water-based transportation to reduce environmental impact. It outlines opportunities for innovative financing, impact projects, and developing the blue economy around water.
Speaker 1 - Responsibility of Stake Holders under MLCcmmindia2017
The document discusses the Maritime Labour Convention 2006 (MLC) and its implementation in India. Some key points:
- The MLC aims to promote decent work conditions for seafarers and came into force globally in 2013. India ratified it and put mechanisms in place for compliance.
- The MLC covers areas like minimum requirements for seafarers, conditions of employment, accommodation, recreational facilities, food and catering, health protection, medical care, welfare, and social security.
- India implemented the MLC through rules covering areas like seafarer accommodation, recruitment and placement, medical examinations, and general maritime labor.
- Statistics on inspections show most deficiencies found relate
The document discusses the responsibilities and procedures for companies licensed by the Indian government to recruit and place seafarers. Key points:
1) Companies must obtain a Recruitment and Placement Services License (RPSL) which is mandated by the Directorate General of Shipping. The RPSL license regulates recruiters and protects seafarers' rights.
2) RPSL companies must follow procedures for audits, reporting, record-keeping and financial guarantees to ensure fair recruitment and protection of seafarers.
3) While the digitization of processes has improved the system, some challenges remain like delays, discrepancies and technical issues that impact seafarers' careers and mobility.
Speaker 3 - Responsibility of Stake Holders under Maritime Labour Convention ...cmmindia2017
The document discusses the responsibilities of stakeholders under the Maritime Labour Convention (MLC) 2006. It provides an overview of the MLC's aims and recent enforcement cases. It also discusses issues like crew abandonment, violations by manning agents, and statistics. Suggestions are provided for better protecting seafarers' rights established by the MLC. Relevant organizations where seafarers can seek help with MLC issues are also listed.
Offshore market overview capt k devadascmmindia2017
The document provides an overview of the offshore shipping industry, including:
1) It traces the history of offshore shipping from the first offshore oil well in 1947 to the development of dedicated offshore supply vessels.
2) It discusses the development of India's offshore industry, including key milestones like the first offshore oil discovery in 1974 and policies to develop India's fleet.
3) It describes the current state of the global and Indian offshore markets, noting declining dayrates in India and oversupply issues globally due to low oil prices that have impacted demand.
This document describes a medical evacuation that occurred at sea. It provides details of a patient, a 34-year-old Indian seaman, who developed Fournier's gangrene/necrotizing fasciitis. Due to the imminent fatality risk and the distance to the scheduled port being 4 days away, a decision was made to request emergency evacuation. Two rescue helicopters were dispatched and medical workers were lowered by winch to retrieve the patient. The patient was then transported to Santa Barbara for further treatment.
1) Three case studies are presented involving violations of the MLC by RPSL holders. In the first case, seafarers were sent urgently to ships with minimal information and contract details, and a fire onboard later resulted in deaths and missing persons.
2) The second case involved seafarers being sent to a ship with only a one-page contract and no insurance or other required information provided. One seafarer later died with inadequate compensation provided.
3) In the third case, a seafarer was placed on a different ship than documented and was left without support after an injury. Many seafarers face such issues without proper protection.
This document discusses the implementation of the Maritime Labour Convention (MLC) in India, noting both progress and challenges. It outlines how provisions have been incorporated through amendments to existing laws and rules. While many large Indian ships are now compliant, issues remain regarding smaller coastal vessels and facilities. Monitoring of recruitment and placement services also needs improvement to address non-compliance and data integrity problems. Overall implementation is an ongoing process, but electronic governance initiatives have helped reduce exploitation while still requiring further refinement. Continued efforts are needed on various fronts to fully realize MLC standards in India.
This document discusses definitions and classifications related to shipwrecks and salvage operations. It defines what constitutes a "wreck" according to various laws and conventions including sunken or stranded ships and objects from ships. It also discusses the agencies and international laws involved in salvage operations as well as classifications of salvage services. Finally, it outlines topics like apportionment of salvage awards, the role of coastal states, and policies regarding ownership of shipwrecks.
Challenges in Marine Salvage & Emergency Responsecmmindia2017
This document discusses challenges in marine salvage and emergency response in India and provides suggestions on how to improve the maritime environment. It notes that India has a long coastline with many ports and increasing shipping traffic, but faces risks like cyclones and lacks a unified command structure for responding to incidents. Resources for responding to contingencies are limited. It suggests preventing incidents through measures like traffic separation schemes and designated protected areas. India should also create a unified command structure under the Maritime Safety Act and streamline customs and tax procedures to facilitate salvage operations. A self-sustaining revenue model could be developed where vessels carry insurance for contingency measures.
This document summarizes key elements of salvage contracts and awards. It discusses the essential elements of salvage, including maritime property in danger and voluntary services resulting in success. It outlines the objectives of rewarding salvors generously to encourage their services. Compensation increases based on a salvor's level of involvement, from occasional assistance to full-time professional salvage. The document reviews several case examples and covers the Lloyd's Open Form, criteria for fixing salvage awards, and the Salvage Convention of 1989. It also discusses the SCOPIC solution for calculating salvage remuneration.
This document provides information about an Extra Masters online course launched by The Company of Masters Mariners of India (CMMI). The course consists of 4 parts that can each be completed in 3 months. Part A will begin on May 15th and consists of 3 modules on leadership, economics, and law. The course fees are INR 25,000-30,000 depending on CMMI membership. Students can access online classes and materials through a website and participate in live video conferences to ask questions. The goal is to provide continued education opportunities for seafarers to obtain higher qualifications.
Damage Stability Analysis and Emergency Responsecmmindia2017
This document discusses damage stability analysis and emergency response for ships. It covers basics of analyzing different cases of damage and breach scenarios. Methods for responding to emergencies include grounding, ballast rearrangement, cargo rearrangement, and jettisoning cargo to safe facilities. Case studies examine fire/breach incidents and corrective measures during actual incidents including estimating survivability, pollution outflow, and salvage or recycling operations.
M.V. Ramamurthy Shipowner's Views on Salvage & Wreck Removal CMMIcmmindia2017
This document summarizes key concepts from the 1989 International Convention on Salvage and the SCOPIC clause. Some key points:
- The Convention broadened the definition of peril to include potential dangers, expanded salvage awards to include environmental salvage even if the ship was not saved, and introduced criteria to determine salvage awards.
- SCOPIC was introduced after a case found the Convention limited environmental salvors to expenses with no profit, allowing salvors to be compensated for preventing pollution.
- SCOPIC remuneration includes preventing and removing nearby pollution for proper salvage execution, with liability on the shipowner alone rather than general average. Arbitration resolves SCOPIC disputes.
Oil Spill Controls Perspective from Hydrocarbon Industriescmmindia2017
Larsen & Toubro is a major engineering conglomerate that provides oil spill control services through its subsidiary L&T Hydrocarbon Engineering. L&T Hydrocarbon has vessels and equipment to assist with offshore oil spill responses and has experience working on projects around the world. The document discusses oil spill response equipment, case studies of oil spills like the Deepwater Horizon incident, and protests against oil companies like BP for their environmental impacts.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
HCL Notes and Domino License Cost Reduction in the World of DLAU
Mr. Pradeep Kumar MS E Learning Overview Pondicheri
1. eLearning for Mariners-an Overview
• 1.Background of this topic
• 2. Introduction
• 3. Objectives
• 4.Evolution-Early phase
• 5.Evolution- Current phase
• 6.Salient Features of eLearning
• 7.Evolution-Imminent Future
• 8.Way ahead for Indian Mariners
• eLearning technology
• eLearning tech – LMS – What – Features
• Cognitive NeuroScience – The Brain.
2. Background for this presentation
• Technology is ushering in Greatest Changes in
the History of Human Kind.
• Common factor in all the advances is that the
Middle level is being automated.
• This includes teaching and seafaring too.
• We may Ride the wave, or we be Smashed
• Time now to choose, lest it is too late.
3. Introduction
• Traditional Learning is Jurassic – dead man
walking
• Traditional eLearning is ALSO dying
• eLearning killed traditional learning and
Cognitive science killed traditional eLearning,
using Emotion detection technologies.
• eLearning has two parts: technology(LMS) and
learning science (Cognitive Neuroscience.)
4. OBJECTIVES of this Presentation
• To attain an overall view of the eLearning
ecosystem.
• -familiarise concepts and terms used.
• -be able to do one’s own research and
establish an eLearning project.
5. Evolution of eLearning – the begining
• The first eLearning attempt was through
digital libraries, delivered through internet.
• As data speeds picked up, lectures videos
were posted on internet. Coupled with
documents they were the first online classes,
under Open Education Movement (2008)
• A short history:
https://www.mcgill.ca/maut/current-
issues/moocs/history
6. Evolution – the next phase
• Chat rooms were added to it and Phase 2 of
eLearning was born(2011, MOOC).
• The Highlight of MOOC is,“networking to
CREATE KNOWLEDGE” creation was the key.
• https://www.youtube.com/watch?v=eW3gMG
qcZQc
• https://www.youtube.com/watch?v=r8avYQ5Z
qM0
7. Evolution – the current phase
• Massachusetts Institute is delivering its
Certificates in BLOCKCHAIN(Blockchain-2008).
• Blockchain Certification is Tamper proof,
except by Quantum Computing which is long
way off.
• The Certificates are verifiable even if the MIT
become defunct.
• Cognitive Neuroscience is entering the
learning field.
8. Salient Features of eLearning
• Consistent delivery
• Anytime Anywhere delivery
• Single point Upgradation, hence always at
cutting edge.
• Client(student ) capture(retention)
• Low cost
• 90% drop outs due to lack of Peer Pressure
and procrastination.
9. Evolution-Imminent Future
• Humans have evolved adapting to technology
• Attention span is less than 8 secs
• Restless in 9 minutes
• Need to know factor has reduced/trasformed,
as information is readily available anytime
anywhere.
• Focus has shifted to Assimilation for Creation
of Knowledge.
10. Way ahead for Mariners
eLearning - the only way
• Distance learning, Anytime, Anywhere
• Microlearning – brain is more comfortable with
bits of knowledge inputs, that is then actioned.
• 93% of Professional learning is on the job.
• . Current practice of spending leave periods in
MTI hostels is not a healthy situation
• eLearning provides the way. Prominence of
Whatsapp exam groups are a sign of problem
DESPARATELY looking for an answer. The missing
item in these Groups is a mentor
11. Structure of eLearning platforms
• Evolved with the Web Technologies
• Built over Web development platforms or Cloud
platforms
• LMS = Learning Management Systems
• Content creation toolkit.
• Proprietary and Open source
• Smart Content
• Interoperability of content
• Free or Paid
12. Learning Management Systems
• Of the whole structure, we interact with only
the LMS and Content Creation Toolkit.
• There are about 380 LMS in the Market
• Here is a link to best among them
• https://elearningindustry.com/the-20-best-
learning-management-systems
13. What is a LMS
• A Learning Management System (LMS) is an online system
or software which is used to plan, execute, and assess a
specific learning process. In simple words, software used in
eLearning programs and which helps in administration,
documentation, tracking, and recording. Learning
Management Systems are used to maintain online
collaboration over the internet. Colleges and companies
use them to deliver online training; corporates use them for
training purposes, as well as for maintaining employee
records. Some use them to offer courses that provide
students access to education, and some others as an online
system which staff use to support course delivery and
provide online learning and blended learning opportunities
for students and employees.
14. Functions of a LMS
• Manage Users, Courses, Course Calendar,
• Provide Asynchronous learning
• Communication management
• Assessment and Testing
• Certification
• Mentor Management
• Course content interoperatability
• http://www.adobe.com/in/products/captivatepri
me.html?promoid=DRCF1BJL&mv=other
15. eLearning – brain
Learning how to Study.
Learning is one of the most pleasurable of activities.
Children are Greatest APES
Welcome to Cognitive Neuroscience, gentlemen!
Cognitive Neuroscience is a multi disciplinary subject and very
nascent.
So much so that there is a lot of confusion as to the terms and
descriptions and even it's scope.
16. eLearning – Brain
• Through over simplification, we can say that the
Cognitive Neuroscience is an integration of
Cognitive Psychology and Neurology. So we have
the Psychology and Brain study before us.
• Fundamental input for training is the motivation.
• FASCINATION OR FEAR or better still, BOTH.
• Motivational inputs, in professional training also
is vital.
• It is with this view we will approach the Brain.
17.
18. eLearning – Brain
• The Brain may be divided into three parts, the
Forebrain, the MidBrain and the
HindBrain. Forebrain is called Prefrontal Cortex.
• "Many authors have indicated an integral link
between a person's will to live, personality, on to
the functions of the prefrontal cortex. This brain
region has been implicated in planning complex
cognitive behavior, personality expression,
decision making, and moderating social
behavior.”
20. eLearning – Brain
The Rational thinking area of the brain.
It is also the Gateway to Knowledge.
Sensors input knowledge through Prefrontal Cortex into
the Hippocampus,which is the Memory Centre of the
Brain.
• "The Hippocampus is a major component of
the brains of humans. The hippocampus belongs to
the limbic system and plays important roles in the
consolidation of information from short-term
memory to long-term memory, and in spatial
memory that enables navigation. This is also called
MidBrain. "
23. eLearning – Brain
• The three major stages of memory forming in the brain are:
• 1. Sensory input from your peripheral nervous system to
your brain, meaning whatever eyes, nose etc send to the
brain.
• 2. Your brain storing those stimuli in its “short-term
memory,” which holds the information for about 3-5
minutes
• 3. If 5 minutes has elapsed and you are still thinking about
that memory, then it will enter into your long-term memory,
where it will stay for virtually an endless period of time.
• Our hippocampus is the main brain portion responsible for
going from stage 2 to stage 3, or converting short-term
memories to long-term memories.
24. eLearning – Brain
• All that enters the Brain through the Gateway, the
Prefrontal Cortex, lodges itself in the
Hippocampus(approximately inaccurate)
• Hence the pieces of information, stored in the
Hippocampus, are linked only to the Prefrontal
Cortex.
• Then we have the limbic area, that is roughly the
Hindside(physically, inner side) of the brain. This
is where all the reflex actions are initiated. This is
the automatic response control area of the Brain.
25.
26. eLearning – Brain
• "limbic system is a group of interconnected
structures of the brain including the
hypothalamus, amydala, and hippocampus that
are located beneath the cortex, are common to all
mammals, and are associated with emotions such
as fear and pleasure, memory, motivation, and
various autonomic functions."
• KEY to remember is the "VARIOUS AUTONOMIC
FUNCTIONS.
27. eLearning – Brain
• Here KEY to remember is the "VARIOUS AUTONOMIC FUNCTIONS.
• While learning, the information gets lodged in the Hippocampus
through the Prefrontal cortex and so its tracks are laid is from
Prefrontal cortex to Hippocampus. (only)
• The" only " part, is a Major Problem.
• When in contingency, the Prefrontal Cortex shuts down in a graded
way resulting to action paralysis. The greater the panic, the deeper
the shut down.
• Thus all the actionable knowledge in the Hippocampus becomes a
waste, that too at the time of its need, the only objective for which
we had trained for.
• Have we caught on it's irony?
28. eLearning – Brain
• Now enter Limbic system.
• Limbic system handles all the reflex actions.
• There is no shut down for Limbic system.
• In fact, Limbic system is designed to handle these
kind of situations.
• If we were to get all the information in the
Hippocampus wired to the Limbic system, then
even if the PFC shuts down, Limbic system saves
the situation instantly and without error.
29. eLearning – Brain
• That means Maritime training must be aimed
to connect the Hippocampus to the Limbic.
• This is achieved simply by practising what we
learn.
• An article is MER says 93% of what we learn is
on the job. True.
• Maritime training must be on the job, as
safety response cannot be reflective, it can
only be a reflux.
31. eLearning – Brain
• Examine the curve: Knowledge on the Y-axis and
Effort on the X-axis.
• The Blue rises the sharpest while the Green the
slowest. It is the learning curve.
• There are many factors differentiating the curves,
but clarity of fundamentals in the subject of
concern - is the greatest.
• Fundamentals must be robust and conflict free,
for any new piece of information to lodge easily
& well in the brain.
32. eLearning – Brain
• Clearer and Conflict free the fundementals,
the steeper is the curve.
• Trainees must be aware of this fact, far more
than the instructors. As, Motivation to excel
must come from within.
33. eLearning – Brain
• Many people recognize that each person prefers
different learning styles .
• Learning styles group common ways that people learn.
Everyone has a mix of learning styles.
• Some people may find that they have a dominant style
of learning, with far less use of the other styles. Others
may find that they use different styles in different
circumstances.
• There is no right mix and Nor are your styles fixed.
• You can develop ability in less dominant styles, as well
as further develop styles that you already use well.
34. eLearning – Brain
Quote:
“Using multiple learning styles and multiple intelligences for
learning is a relatively new approach. This approach is one that
educators have only recently started to recognize. Traditional
schooling used (and continues to use) mainly linguistic and
logical teaching methods. It also uses a limited range of learning
and teaching techniques. Many schools still rely on classroom
and book-based teaching, much repetition, and pressured
exams for reinforcement and review. A result is that we often
label those who use these learning styles and techniques as
bright. Those who use less favored learning styles often find
themselves in lower classes, with various not-so-complimentary
labels and sometimes lower quality teaching. This can create
positive and negative spirals that reinforce the belief that one is
"smart" or "dumb".”
35. eLearning – Brain
• By recognizing and understanding your own learning styles, you can use
techniques better suited to you. This improves the speed and quality of
your learning.
• The Seven Learning Styles
• Visual (spatial):You prefer using pictures, images, and spatial
understanding.
• Aural (auditory-musical): You prefer using sound and music.
• Verbal (linguistic): You prefer using words, both in speech and writing.
• Physical (kinesthetic): You prefer using your body, hands and sense of
touch.
• Logical (mathematical): You prefer using logic, reasoning and systems.
• Social (interpersonal): You prefer to learn in groups or with other people.
• Solitary (intrapersonal): You prefer to work alone and use self-study.
36. eLearning – Brain
• Research shows us that each learning style uses different parts of the brain. By involving more of
the brain during learning, we remember more of what we learn. Researchers using brain-imaging
technologies have been able to find out the key areas of the brain responsible for each learning
style.
• For example:
• Visual: The occipital lobes at the back of the brain manage the visual sense. Both the occipital and
parietal lobes manage spatial orientation.
• Aural: The temporal lobes handle aural content. The right temporal lobe is especially important for
music.
• Verbal: The temporal and frontal lobes, especially two specialized areas called Brocas and
Wernickes areas (in the left hemisphere of these two lobes).
• Physical: The cerebellum and the motor cortex (at the back of the frontal lobe) handle much of our
physical movement.
• Logical: The parietal lobes, especially the left side, drive our logical thinking.
• Social: The frontal and temporal lobes handle much of our social activities. The limbic system (not
shown apart from the hippocampus) also influences both the social and solitary styles. The limbic
system has a lot to do with emotions, moods and aggression.
• Solitary: The frontal and parietal lobes, and the limbic system, are also active with this style.
37. eLearning – Brain
Different Brians have preferences for different formatting
of information, like Logical, Graphical, Abstract, etc,
meaning some fare extremely well on learning, when
info format corresponds to the Brain type.
• The entire story is concocted to illustrate - that there is
benefit
• in learning little more about cognitive science and in
explaining the basics of how brain works, so that the
trainees take their training seriously,(Motivation),
positively and skillfully.
• For that to happen we must appraise it ourselves
first.
It is understood that we are at the CUSP o f the Greatest Changes in Human history brought about by technology.
Technology will eliminate the middle levels in almost all fields, especially in professions.
That technology is Blockchain.
Other technologies, such as Emotion detection and Machine learning, in conjunction with Cognitive Neuroscience will radically change the Learning scenario.
Infact it is already in the move, in the works.
Blockchain will deliver tamper proof Documentation, including Certificates, that can be verified, even if the issuer becomes defunct.
Incidently, Hashgraph technology is toppling the 10 year old Blockchain technology, already.
eLearning took the instruction delivery from the idiosyncrasies of the instructor and handed it over to the Learning Management System.
The system delivered HIGH QUALITY, WELL DESIGNED instructions, CONSISTENTLY, with infinite patience and encouragement.
Without raising voice, it ADAPTS its instructions to the learners PACE, STYLE, and TYPE of BRAIN, and ofcourse to his MOOD.
Technology does it by detecting Emotions of the trainee(through camera) and then adapt the instructions to suit,
Emotion detection is achieved by facial expression analysis, for which only on device camera is required as Hardware-with two cameras, its accuracy is much higher.
Face detection makes evaluation and certification feasible, as imposters taking tests is thwarted. Technology can tell if it is a mask over the face or if it is a live face.
Only an overall view is attempted, details tend to clutter our minds and also takes longer time
The first eLearning attempt was through digital libraries, delivered through internet.
As data speeds picked up, lectures were posted on internet.
Coupled with documents they were the first online classes, under Open Education Movement (2008)
Common Technology, Common Content, Common Knowledge
The result was called MOOC,ie, Massively Open Online Courses. MOOCs were founded on the principle of networking of knowledge/brains.
A networked brain consumes knowledge, assimilates it and then generates more. This is peer reviewed and distributed again.
Thus MOOCs were envisaged as knowledge ecosystem.
Initially it was populated by IT knowledge, patronised by IT professionals, but as of today, anything under the sun is available, at prices, even developing nations can afford.
We will visit with Blockchain and Cognitive Neuroscience at later passage
That is to say, informal eLearning is already underway for long, in a crude way.
That is again to say whether or not eLearning is not a question at all.
It is our duty to bring it into formal sphere, give it form and energy
Open source need not be free
MOODLE is the most popular Open Source LMS
The toolkits may be LMS owned or we create some for ourselves. However creating entire toolkit for ourselves is a waste of time
For Content Creation we need an Expert who may be milked for expertise, which may then be deployed using the toolkit.
Jan 2000 the first interoperatability standards were introduced as SCORM =
Sharable Content Object Reference Model.
Having evolved over time, the Current version is renamed as xAPI
Whereas some LMS confine themselves to learning aspects only others integrate commercial aspects too and comes as an integrated package.
The link provided is for Adobe Captivate Prime. It has 30 days free trial. It is one of the better but proprietary LMS.
I recommend anyone trying to develop an eLearning project to try out Captivate Prime to understand all the necessary features and then pick up a solution of our own choice.