This document discusses metacognition, which refers to thinking about one's own thinking. It provides definitions of metacognition from researchers and describes its two main components: knowledge about cognition and regulation of cognition. There are three types of metacognitive knowledge - content knowledge, task knowledge, and strategic knowledge. Metacognition involves planning, monitoring, and evaluating one's cognition and learning. It plays an important role in self-regulation and maximizing one's learning potential.
A report on Metacognition
Contents:
Definition of Metacognition
Elements of Metacognition
Identifying the Elements of Metacognition
Uses of Metacognition
Teaching Strategies for Metacognition
Questions to Improve Metacognition
"Metacognition" is one of the latest buzz words in educational psychology, but what exactly is metacognition? The length and abstract nature of the word makes it sound intimidating, yet its not as daunting a concept as it might seem. We engage in metacognitive activities everyday. Metacognition enables us to be successful learners, and has been associated with intelligence . Metacognition refers to higher order thinking which involves active control over the cognitive processes engaged in learning. Activities such as planning how to approach a given learning task, monitoring comprehension, and evaluating progress toward the completion of a task are metacognitive in nature. Because metacognition plays a critical role in successful learning, it is important to study metacognitive activity and development to determine how students can be taught to better apply their cognitive resources through metacognitive control.
"Metacognition" is often simply defined as "thinking about thinking." In actuality, defining metacognition is not that simple. Although the term has been part of the vocabulary of educational psychologists for the last couple of decades, and the concept for as long as humans have been able to reflect on their cognitive experiences, there is much debate over exactly what metacognition is. One reason for this confusion is the fact that there are several terms currently used to describe the same basic phenomenon (e.g., self-regulation, executive control), or an aspect of that phenomenon (e.g., meta-memory), and these terms are often used interchangeably in the literature. While there are some distinctions between definitions , all emphasize the role of executive processes in the overseeing and regulation of cognitive processes.
The term "metacognition" is most often associated with John Flavell. According to Flavell, metacognition consists of both metacognitive knowledge and metacognitive experiences or regulation. Metacognitive knowledge refers to acquired knowledge about cognitive processes, knowledge that can be used to control cognitive processes. Flavell further divides metacognitive knowledge into three categories: knowledge of person variables, task variables and strategy variables.
A report on Metacognition
Contents:
Definition of Metacognition
Elements of Metacognition
Identifying the Elements of Metacognition
Uses of Metacognition
Teaching Strategies for Metacognition
Questions to Improve Metacognition
"Metacognition" is one of the latest buzz words in educational psychology, but what exactly is metacognition? The length and abstract nature of the word makes it sound intimidating, yet its not as daunting a concept as it might seem. We engage in metacognitive activities everyday. Metacognition enables us to be successful learners, and has been associated with intelligence . Metacognition refers to higher order thinking which involves active control over the cognitive processes engaged in learning. Activities such as planning how to approach a given learning task, monitoring comprehension, and evaluating progress toward the completion of a task are metacognitive in nature. Because metacognition plays a critical role in successful learning, it is important to study metacognitive activity and development to determine how students can be taught to better apply their cognitive resources through metacognitive control.
"Metacognition" is often simply defined as "thinking about thinking." In actuality, defining metacognition is not that simple. Although the term has been part of the vocabulary of educational psychologists for the last couple of decades, and the concept for as long as humans have been able to reflect on their cognitive experiences, there is much debate over exactly what metacognition is. One reason for this confusion is the fact that there are several terms currently used to describe the same basic phenomenon (e.g., self-regulation, executive control), or an aspect of that phenomenon (e.g., meta-memory), and these terms are often used interchangeably in the literature. While there are some distinctions between definitions , all emphasize the role of executive processes in the overseeing and regulation of cognitive processes.
The term "metacognition" is most often associated with John Flavell. According to Flavell, metacognition consists of both metacognitive knowledge and metacognitive experiences or regulation. Metacognitive knowledge refers to acquired knowledge about cognitive processes, knowledge that can be used to control cognitive processes. Flavell further divides metacognitive knowledge into three categories: knowledge of person variables, task variables and strategy variables.
Metacognition refers to “thinking about thinking”. It is your ability to control your thinking processes through various strategies, such as organizing, monitoring, and adapting. This slides explains about metacognition and how to adopt metacognition in classroom. Check the slides to know more.
Metacognition, meaning of Metacognition, definition of Metacognition, components of Metacognition, Metacognition knowledge, kinds of content knowledge, essential skills of Metacognition, Metacognition levels of thought, Metacognition and learning, Metacognition and reading, Metacognition and listening, Metacognition and problem solving, benefits of Metacognition,
Concept and phases of meta cognition (1)Asma Murtaza
metacognition is thinking about thinking, it is problem solving skill. now a day is very important, used to create critical thinking skills among students
Placement assessments are used to “place” students into a course, course level, or academic program. For example, an assessment may be used to determine whether a student is ready for Algebra I or a higher-level algebra course, such as an honors-level course.
For this reason, placement assessments are administered before a course or program begins, and the basic intent is to match students with appropriate learning experiences that address their distinct learning needs.
Diagnostic Assessment Is An Essential Device In A Teacher's "Tool Kit", Which Can Be Used To Diagnose Strengths And Area Of Need In All Students.
▪ Diagnostic Assessment Involves The Gathering And Careful Evaluation Of Detailed Data Using Student’s Knowledge And Skills In A Given Learning Area.
Metacognition refers to “thinking about thinking”. It is your ability to control your thinking processes through various strategies, such as organizing, monitoring, and adapting. This slides explains about metacognition and how to adopt metacognition in classroom. Check the slides to know more.
Metacognition, meaning of Metacognition, definition of Metacognition, components of Metacognition, Metacognition knowledge, kinds of content knowledge, essential skills of Metacognition, Metacognition levels of thought, Metacognition and learning, Metacognition and reading, Metacognition and listening, Metacognition and problem solving, benefits of Metacognition,
Concept and phases of meta cognition (1)Asma Murtaza
metacognition is thinking about thinking, it is problem solving skill. now a day is very important, used to create critical thinking skills among students
Placement assessments are used to “place” students into a course, course level, or academic program. For example, an assessment may be used to determine whether a student is ready for Algebra I or a higher-level algebra course, such as an honors-level course.
For this reason, placement assessments are administered before a course or program begins, and the basic intent is to match students with appropriate learning experiences that address their distinct learning needs.
Diagnostic Assessment Is An Essential Device In A Teacher's "Tool Kit", Which Can Be Used To Diagnose Strengths And Area Of Need In All Students.
▪ Diagnostic Assessment Involves The Gathering And Careful Evaluation Of Detailed Data Using Student’s Knowledge And Skills In A Given Learning Area.
“Metacognitive Reading Strategies and Its Relationship with English Achieveme...inventionjournals
This paper focuses on study of Metacognitive Reading Strategy in relation to English achievement. The research was carried out in Raipur city on a sample of 456 IX standard students. Metacognitive Awareness of Reading Strategies Inventory (MARSI) by Kouider Mokhtari and Carla Reichard was used for the present study. The research findings revealed that there is positive and high relationship between Global Reading Strategy, Problem Solving strategy, Support Reading Strategy and English Achievement of students. It is also found that there is significant difference between Metacognitive Reading Strategies of Boys and Girls but there is no significant difference between Global Reading Strategy of Boys and Girls. It is also found that there is significant difference between Problem Solving Strategy and Support Reading Strategy of Boys and Girls.
Kendall's and Marzano's New Taxonomy pptMiakaBalino
Kendall's and Marzano's New taxonomy ............................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................ ppt.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
2. INTRODUCTION
Metacognition is "cognition about cognition", "thinking
about thinking", or "knowing about knowing" and higher order
thinking skills. It comes from the root word "meta", meaning
beyond. It can take many forms; it includes knowledge about
when and how to use particular strategies for learning or for
problem solving There are generally two components of
metacognition: knowledge about cognition, and regulation of
cognition.
3. DEFINITIONS
This higher-level cognition was given the label
metacognition by American developmental psychologist John H.
Flavell (1979). The term metacognition literally means cognition
about cognition, or more informally, thinking about thinking.
Flavell defined metacognition as knowledge about cognition and
control of cognition. For example, a person is engaging in
metacognition if he notices that he is having more trouble
learning A than B.
4. DEFINITIONS
Metacognition also involves thinking about one's
own thinking process such as study skills, memory
capabilities, and the ability to monitor learning. This
concept needs to be explicitly taught along with content
instruction. Metacognitive knowledge is about our own
cognitive processes and our understanding of how to
regulate those processes to maximize learning.
5. TYPES OF METACOGNITIVE KNOWLEDGE
1. Content knowledge (declarative knowledge) :- It is
understanding one's own capabilities such as a student
evaluating his/her own knowledge of a subject in a class. It is
also notable that not all metacognition is accurate. Studies have
shown that students often mistake lack of effort with
understanding in evaluating themselves and their overall
knowledge of a concept.
6. TYPES OF METACOGNITIVE KNOWLEDGE
2. Task knowledge (procedural knowledge) :- It is
how one perceives the difficulty of a task which is the
content, length, and the type of assignment. The study
mentioned in Content knowledge also deals with the
ability of one to evaluate the difficulty of the task related
to their overall performance on the task.
7. TYPES OF METACOGNITIVE KNOWLEDGE
3. Strategic knowledge (conditional knowledge) :- It
is one's own capability for using strategies to learn
information. Young children are not particularly good at
this; it is not until upper elementary where students start
to develop the understanding of strategies that will be
effective.
8. COMPOSITION OF METACOGNITION
Metacognition is a general term encompassing the
study of memory-monitoring and self-regulation, meta-
reasoning, consciousness/ awareness and auto-
consciousness/ self-awareness In practice these
capacities are used to regulate one's own cognition, to
maximize one's potential to think, learn and to the
evaluation of proper ethical/ moral rules.
9. COMPONENTS
Metacognition is classified into three components:
1. Metacognitive knowledge (also called metacognitive
awareness) is what individuals know about themselves and
others as cognitive processors.
2. Metacognitive regulation is the regulation of cognition and
learning experiences through a set of activities that help people
control their learning.
3. Metacognitive experiences are those experiences that have
something to do with the current, on-going cognitive endeavor.
10. COMPONENTS
Metacognition refers to a level of thinking that involves
active control over the process of thinking that is used in
learning situations. Planning the way to approach a
learning task, monitoring comprehension, and evaluating
the progress towards the completion of a task: these are
skills that are metacognitive in their nature.
11. TYPES OF METACOGNITIVE AWARENESS
Metacognition includes at least three different types of metacognitive
awareness when considering metacognitive knowledge:
1. Declarative knowledge: refers to knowledge about oneself as a
learner and about what factors can influence one's
performance. Declarative knowledge can also be referred to as "world
knowledge".
2. Procedural knowledge: refers to knowledge about doing things. This
type of knowledge is displayed as heuristics and strategies. A high
degree of procedural knowledge can allow individuals to perform tasks
more automatically. This is achieved through a large variety of
strategies that can be accessed more efficiently.
12. TYPES OF METACOGNITIVE AWARENESS
3. Conditional knowledge: refers to knowing when and why to
use declarative and procedural knowledge. It allows students to
allocate their resources when using strategies. This in turn
allows the strategies to become more effective.
13. METACOGNITIVE REGULATION
Metacognitive regulation or "regulation of cognition" contains three skills
that are essential.
1. Planning: refers to the appropriate selection of strategies and the
correct allocation of resources that affect task performance.
2. Monitoring: refers to one's awareness of comprehension and task
performance
3. Evaluating: refers to appraising the final product of a task and the
efficiency at which the task was performed. This can include re-evaluating
strategies that were used.