Jean Piaget was a Swiss philosopher born in 1896 who was interested in biology and the natural world from a young age. He published several papers before high school and over 60 books in his lifetime. Piaget's theory of cognitive development proposed that children progress through four distinct stages - sensorimotor, preoperational, concrete operational, and formal operational - with learning limited by each stage. Piaget also believed moral development occurred in two stages, from heteronomous morality where rules are seen as unchangeable, to autonomous morality where rules are understood to be flexible and made by mutual agreement. While influential, Piaget's theories have also received some criticism regarding aspects like the ages associated with each stage of development.
Piaget found that children’s ideas regarding rules, moral judgements and punishment tended to change as they got older. In other words just as there were stages to children’s cognitive development so also there were universal stages to their moral development. Piaget suggested two main types of moral thinking:
Heteronomous morality (moral realism)
• Autonomous morality (moral relativism)
How moral development occurs :An exploratory study by Jean Piaget on moral reasoning i.e. all about Heteronomous morality ( moral realism) and Autonomous morality (moral relativism) in young children,its educational implications and criticism. Especially for NET/SLET/CTET/B.Ed./M.Ed./M.A and entrance Aspirants..
Kohlberg theory of moral development by jagannath Kunarjagannath kunar
Kohlberg's theory of moral development Pre-conventional,conventional and post conventional level with stages like Stage 1: Obedience and Punishment Orientation,Stage 2 :Individualism and Exchange,Stage 3:Good Interpersonal Relationships,Stage 4:Maintaining the Social Order,Stage 5: Social Contract and Individual Rights,Stage 6: Universal ethical Principles. educational implications and critics.Especially for NET/SLET/CTET/B.Ed./M.Ed./M.A and entrance Aspirants..
Piaget found that children’s ideas regarding rules, moral judgements and punishment tended to change as they got older. In other words just as there were stages to children’s cognitive development so also there were universal stages to their moral development. Piaget suggested two main types of moral thinking:
Heteronomous morality (moral realism)
• Autonomous morality (moral relativism)
How moral development occurs :An exploratory study by Jean Piaget on moral reasoning i.e. all about Heteronomous morality ( moral realism) and Autonomous morality (moral relativism) in young children,its educational implications and criticism. Especially for NET/SLET/CTET/B.Ed./M.Ed./M.A and entrance Aspirants..
Kohlberg theory of moral development by jagannath Kunarjagannath kunar
Kohlberg's theory of moral development Pre-conventional,conventional and post conventional level with stages like Stage 1: Obedience and Punishment Orientation,Stage 2 :Individualism and Exchange,Stage 3:Good Interpersonal Relationships,Stage 4:Maintaining the Social Order,Stage 5: Social Contract and Individual Rights,Stage 6: Universal ethical Principles. educational implications and critics.Especially for NET/SLET/CTET/B.Ed./M.Ed./M.A and entrance Aspirants..
An overview of the process of how morality developed throughout the life and it's gender controversies via discussing different theories of moral development
Kohlberg identified three levels of moral reasoning:
pre-conventional
Obedience and punishment
Individualism and Exchange
conventional
Interpersonal relationship
Maintaining Social order
post-conventional
Social contract and individual rights
Universal principle
Each level is associated with increasingly complex stages of moral development.
Lecture focusses on social change through storytelling and behavioural nudges; Moral values are essential for the development of a good society; Education is vital for the same.
Moral Development - Components, Theories and Characteristics of LearnersR.A Duhdra
After learning this topic, you will be able to
Define moral development.
Explain morality within the context of nature and nurture
Describe moral characteristics of learners from infancy to childhood
Describe various activities from preschool to elementary level to inculcate moral values among learners
Child Psychology is important for the development of child behaviour
#childpsychology #childbehaviour #behaviouralpedodontics #theoriesofchildpsychology #behaviourmanagement #behaviourofchildindentalclinic #freudspsychodynamictheory
#conscioussedation #modelling #behaviouralmodelling
This is my first shared presentation ever! It is my way of showing gratitude to the "slideshare community" for all the help they have given me. So, Thanks everybody! Hope you like it! :) ;)
An overview of the process of how morality developed throughout the life and it's gender controversies via discussing different theories of moral development
Kohlberg identified three levels of moral reasoning:
pre-conventional
Obedience and punishment
Individualism and Exchange
conventional
Interpersonal relationship
Maintaining Social order
post-conventional
Social contract and individual rights
Universal principle
Each level is associated with increasingly complex stages of moral development.
Lecture focusses on social change through storytelling and behavioural nudges; Moral values are essential for the development of a good society; Education is vital for the same.
Moral Development - Components, Theories and Characteristics of LearnersR.A Duhdra
After learning this topic, you will be able to
Define moral development.
Explain morality within the context of nature and nurture
Describe moral characteristics of learners from infancy to childhood
Describe various activities from preschool to elementary level to inculcate moral values among learners
Child Psychology is important for the development of child behaviour
#childpsychology #childbehaviour #behaviouralpedodontics #theoriesofchildpsychology #behaviourmanagement #behaviourofchildindentalclinic #freudspsychodynamictheory
#conscioussedation #modelling #behaviouralmodelling
This is my first shared presentation ever! It is my way of showing gratitude to the "slideshare community" for all the help they have given me. So, Thanks everybody! Hope you like it! :) ;)
Cognitive Develepment - Fundamentals of Psychology 2 - Lecture 2.
The views expressed in this presentation are those of the individual Simon Bignell and not University of Derby.
Jean Piaget’s Theory of Learning Process.pptxDrHafizKosar
Jean Piaget’s Theory of Learning Process
Jean Piaget, (Born August 9, 1896, Neuchâtel, Switzerland—died September 16, 1980, Geneva), Swiss psychologist who was the first to make a systematic study of the acquisition of understanding in children. He is thought by many to have been the major figure in 20th-century developmental psychology.
Today, Jean Piaget is best known for his research on children's cognitive development. Piaget studied the intellectual development of his own three children and created a theory that described the stages that children pass through in the development of intelligence and formal thought processes (Piaget, 1929).
Chronological Summary of Piaget's Employment History:
Remarkable work of J.Piaget
Cognitive Theory
Piaget believed that learning proceeded by the interplay of assimilation (adjusting new experiences to fit prior concepts) and accommodation (adjusting concepts to fit new experiences). The to-and-fro of these two processes leads not only to short-term learning, but also to long-term developmental change. The long-term developments are really the main focus of Piaget’s cognitive theory. After observing children closely, Piaget proposed that cognition developed through distinct stages from birth through the end of adolescence.
Four Key features of Stages
The stages always happen in the same order:
• No stage is ever skipped.
• Each stage is a significant transformation of the stage before it.
• Each later stage incorporated the earlier stages into itself.
• Basically, this is a “staircase” model of development.
Educational Implications of Theory
1. Piaget's Influence on Education: Piaget's theory was not explicitly related to education, but later researchers applied his ideas to teaching and learning. He had a significant impact on educational policy and teaching practices.
2. Concrete Operational Stage in Education: The UK Piaget review considered the concrete stage as crucial in cognitive development. Concrete stage marks the beginning of logical or operational thought, where children can work things out internally.
3. Conservation in Primary Education: Children, by the concrete stage, can conserve number (age 6), mass (age 7), and weight (age 9). Conservation is the understanding that quantity remains the same despite changes in appearance.
4. Formal Operational Stage: Begins around age eleven and extends into adulthood. In this stage, individuals develop abstract thinking and the ability to logically test hypotheses.
5. Piaget's Influence on Government and Policy: The government in 1966 was strongly influenced by Piaget's theory.
6. Plowden Report (1967): Resulted from the UK Piaget review, emphasizing discovery learning. Discovery learning involves active exploration and doing, with a focus on individual learning, flexibility, play, environment, and progress evaluation.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...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 the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
![Background ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)