Constructivist Learning Theory is based on the idea that learners must actively construct their own understanding through experiences. It focuses on how learners make meaning from experiences and how teachers can organize learning to support meaning making. The brain is a complex adaptive system that searches for patterns and meaning innately. Emotions also influence how meaning and learning are organized.
The term "cognitive psychology" was first used in 1967 by American psychologist Ulric Neisser in his book Cognitive Psychology. According to Neisser, cognition involves "all processes by which the sensory input is transformed, reduced, elaborated, stored, recovered, and used.
It is concerned with these processes even when they operate in the absence of relevant stimulation, as in images and hallucinations. Given such a sweeping definition, it is apparent that cognition is involved in everything a human being might possibly do; that every psychological phenomenon is a cognitive phenomenon."
The term "cognitive psychology" was first used in 1967 by American psychologist Ulric Neisser in his book Cognitive Psychology. According to Neisser, cognition involves "all processes by which the sensory input is transformed, reduced, elaborated, stored, recovered, and used.
It is concerned with these processes even when they operate in the absence of relevant stimulation, as in images and hallucinations. Given such a sweeping definition, it is apparent that cognition is involved in everything a human being might possibly do; that every psychological phenomenon is a cognitive phenomenon."
FS6 Episode 3: The Teacher in a School SettingJamaica Olazo
My Concrete Experience
My Observations
My Affirmed Concepts
My Reflections
My Future Applications
Prepared by: Ms. JAMAICA OLAZO
Want to ask a copy on this, just reach me on my fb account:
https://www.facebook.com/jamFeb25
DON'T FORGET TO HIT LIKE or LEAVE A COMMENT BELOW.
Thanks :)
Code of Ethics for Professional Teachers of the PhilippinesJohn Bernal
This powerpoint presentation contains salient features of Code of Ethics for Professional Teachers of the Philippines citing Supreme Court Jurisprudence related to education.
Use this one-time passcode to verify your identity on Scribd. The passcode wi...AlexGuerra55
Use this one-time passcode to verify your identity on Scribd. The passcode will be valid for 30 minutes.
Use this one-time passcode to verify your identity on Scribd. The passcode will be valid for 30 minutes.
Use this one-time passcode to verify your identity on Scribd. The passcode will be valid for 30 minutes.
A collection of learning theory vignettes. Constructivism, Behaviourism, Piaget, Neuriscience, Brain-based learning, learning styles, multiple intelligences, control theory .... A useful PDF to succintly be introduced to the different theories. Reading links are provided also.
Chamber of dictionary answer the question for what is knowledge is (i) as the fact of knowing, (ii) information or what is known; (iii) the whole of what can be learned or found out. Further, it also knowledge as assured belief, that which is known, information, instruction, enlightenment, learning, practical skill and acquaintance. Considering all the above that are worthy of knowing. A term widely used by teachers, educators and policy makers is concept of knowledge and it refers to the body of information that teachers teach and that students are expected to learn in a given subject or content area such as English, Language Arts, Mathematics, Science, or Social Studies. Concept of knowledge generally refers to the facts, concepts, theories and principles that are taught and learned rather than related to skills such as reading, writing, or researching that student also learns in academic courses.
Knowledge is not truth. Truth is inferred on the bases of available knowledge. The truth about the universe around us or the macrocosm to the microcosm is inferred knowledge. The knowledge of galaxy is inferred; so is the whole nuclear science, space, DNA etc,. Much of what we knew is not observed knowledge. They are known through their effects, properties, and characteristics. It is at the stage of inference that employment of methods for drawing inferences that philosophy is at work. Knowledge certified by the philosophy enters the curriculum of education. Methods approved by philosophy for building knowledge from the bases of methods and techniques of teaching. The truth arrived by philosophy sets the goals and objectives of education as well as instruments and uses of evaluation. Like this knowledge helps philosophy to interpret, guide, monitor and validating the educational process at every stages.
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In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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.
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.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Le nuove frontiere dell'AI nell'RPA con UiPath Autopilot™UiPathCommunity
In questo evento online gratuito, organizzato dalla Community Italiana di UiPath, potrai esplorare le nuove funzionalità di Autopilot, il tool che integra l'Intelligenza Artificiale nei processi di sviluppo e utilizzo delle Automazioni.
📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
Autopilot per Studio Web
Autopilot per Studio
Autopilot per Apps
Clipboard AI
GenAI applicata alla Document Understanding
👨🏫👨💻 Speakers:
Stefano Negro, UiPath MVPx3, RPA Tech Lead @ BSP Consultant
Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
Intelligence, narrowly defined, can be measured by intelligence tests, also called IQ tests. Such tests are among the most accurate ( reliable and valid ) psychological tests , but they are not intended to measure creativity, personality , character, or wisdom. Intelligence tests take many forms, but the common tests ( Stanford- Binet , Raven's Standard Progressive Matrices, Wechsler Adult Intelligence Scale (WAIS), Wechsler-Bellevue I, and others) all measure the same intelligence. The general factor measured by intelligence tests is known as g (see g theory ). The fundamental indicator of a general factor is that test scores on a wide range of seemingly unrelated cognitive ability tests (such as sentence completion, arithmetic, and memorization) are positively correlated . People who score highly on one test tend to score highly on all of them. This suggests that the tests are not unrelated, but that they all tap a common factor. The common factor, g , can be extracted using mathematical techniques such as factor analysis or principal components analysis . IQ tests measure g better than any other test. A single factor is not guaranteed. Other psychological tests which do not measure cognitive ability, such as personality tests , generate multiple factors. IQ tests have been strongly criticized as biased, particularly against minorities. Bias in cognitive ability testing means, in part, that two groups with different average scores on the test have similar average scores on the outcome the test is supposed to predict (for example, academic achievement or job performance).
BECAUSE THE TRADITIONAL understanding of intelligence assumes that our ability to learn and do things comes out of a uniform cognitive capacity, some researchers began to experiment with the possibility that such an intelligence would be fairly easy to measure - and thus be very useful in assessing students in order to place them at an appropriate academic level. At the turn of the century, the educators of Paris asked psychologist Alfred Binet to formulate a test that could be use to analyze a child's intelligence in order to uncover his or her weaknesses. The Intelligence Quotient, or IQ test, was thus born. Though Binet's IQ test (now known as the Stanford-Binet Test) was originally used to discover a student's intellectual shortcomings (and thus used as a guide to tutor them appropriately), it quickly caught on in the US as a way to rank students as more or less capable in school. With an average score of 100, a student who scored a 131, for example could be placed in a gifted program, while another who scored 81 could be placed in special education. Though there was some reservation about coding students by a test-determined score (why, for instance, was a 131 acceptable for a gifted program, while a 127 was not?), the IQ test went on to become a near-national standard. The measuring of raw intelligence with tests continued in all areas of education. One of the most famous examples is the Scholastic Aptitude Test, or SAT. The SAT, which analyzes a student's mathematic and gramatical abilities as well as reading comprehension and vocabulary, is used by nearly every college in America to help determine whether a student is qualified to enter that institution. Because it is assumed that the SAT can predict future achievement, certain scores could automatically dictate whether a student was in or out of a prospective program. To this day, American education is dictated by the student's scores on a battery of intelligence tests, from kindergarten through university. Advocates of traditional education continue to push this paradigm of Uniform Schooling - an educational system based on national standards and efficient, cost-effective assessment in the form of multiple choice, number two pencil exams. Against this long-lived convention, though, many researchers, educators, even parents, have expressed reservation that such tests do nothing to judge a student's potential - they merely demonstrate that a child is or is not good at standardized tests. Students should not be judged by what they cannot do, but what they can do, and education should focus on bringing out the individual's potential. Until recently, this view was considered utopian and unrealistic, but now a new theory of learning and intelligence has finally forced educators and policymakers to reconsider the pedagogical methods of the last century - the theory of Multiple Intelligences. MULTIPLE INTELLIGENCES theory, in a nutshell, is a pluralized way of understanding the intellect. Recent advances in cognitive science, developmental psychology and neuroscience suggest that each person's level of intelligence, as it has been traditionally considered, is actually made up of autonomous faculties that can work individually or in concert with other faculties. Howard Gardner originally identified seven such faculties, which he labeled as "intelligences":
BECAUSE THE TRADITIONAL understanding of intelligence assumes that our ability to learn and do things comes out of a uniform cognitive capacity, some researchers began to experiment with the possibility that such an intelligence would be fairly easy to measure - and thus be very useful in assessing students in order to place them at an appropriate academic level. At the turn of the century, the educators of Paris asked psychologist Alfred Binet to formulate a test that could be use to analyze a child's intelligence in order to uncover his or her weaknesses. The Intelligence Quotient, or IQ test, was thus born. Though Binet's IQ test (now known as the Stanford-Binet Test) was originally used to discover a student's intellectual shortcomings (and thus used as a guide to tutor them appropriately), it quickly caught on in the US as a way to rank students as more or less capable in school. With an average score of 100, a student who scored a 131, for example could be placed in a gifted program, while another who scored 81 could be placed in special education. Though there was some reservation about coding students by a test-determined score (why, for instance, was a 131 acceptable for a gifted program, while a 127 was not?), the IQ test went on to become a near-national standard. The measuring of raw intelligence with tests continued in all areas of education. One of the most famous examples is the Scholastic Aptitude Test, or SAT. The SAT, which analyzes a student's mathematic and gramatical abilities as well as reading comprehension and vocabulary, is used by nearly every college in America to help determine whether a student is qualified to enter that institution. Because it is assumed that the SAT can predict future achievement, certain scores could automatically dictate whether a student was in or out of a prospective program. To this day, American education is dictated by the student's scores on a battery of intelligence tests, from kindergarten through university. Advocates of traditional education continue to push this paradigm of Uniform Schooling - an educational system based on national standards and efficient, cost-effective assessment in the form of multiple choice, number two pencil exams. Against this long-lived convention, though, many researchers, educators, even parents, have expressed reservation that such tests do nothing to judge a student's potential - they merely demonstrate that a child is or is not good at standardized tests. Students should not be judged by what they cannot do, but what they can do, and education should focus on bringing out the individual's potential. Until recently, this view was considered utopian and unrealistic, but now a new theory of learning and intelligence has finally forced educators and policymakers to reconsider the pedagogical methods of the last century - the theory of Multiple Intelligences. MULTIPLE INTELLIGENCES theory, in a nutshell, is a pluralized way of understanding the intellect. Recent advances in cognitive science, developmental psychology and neuroscience suggest that each person's level of intelligence, as it has been traditionally considered, is actually made up of autonomous faculties that can work individually or in concert with other faculties. Howard Gardner originally identified seven such faculties, which he labeled as "intelligences":
BECAUSE THE TRADITIONAL understanding of intelligence assumes that our ability to learn and do things comes out of a uniform cognitive capacity, some researchers began to experiment with the possibility that such an intelligence would be fairly easy to measure - and thus be very useful in assessing students in order to place them at an appropriate academic level. At the turn of the century, the educators of Paris asked psychologist Alfred Binet to formulate a test that could be use to analyze a child's intelligence in order to uncover his or her weaknesses. The Intelligence Quotient, or IQ test, was thus born. Though Binet's IQ test (now known as the Stanford-Binet Test) was originally used to discover a student's intellectual shortcomings (and thus used as a guide to tutor them appropriately), it quickly caught on in the US as a way to rank students as more or less capable in school. With an average score of 100, a student who scored a 131, for example could be placed in a gifted program, while another who scored 81 could be placed in special education. Though there was some reservation about coding students by a test-determined score (why, for instance, was a 131 acceptable for a gifted program, while a 127 was not?), the IQ test went on to become a near-national standard. The measuring of raw intelligence with tests continued in all areas of education. One of the most famous examples is the Scholastic Aptitude Test, or SAT. The SAT, which analyzes a student's mathematic and gramatical abilities as well as reading comprehension and vocabulary, is used by nearly every college in America to help determine whether a student is qualified to enter that institution. Because it is assumed that the SAT can predict future achievement, certain scores could automatically dictate whether a student was in or out of a prospective program. To this day, American education is dictated by the student's scores on a battery of intelligence tests, from kindergarten through university. Advocates of traditional education continue to push this paradigm of Uniform Schooling - an educational system based on national standards and efficient, cost-effective assessment in the form of multiple choice, number two pencil exams. Against this long-lived convention, though, many researchers, educators, even parents, have expressed reservation that such tests do nothing to judge a student's potential - they merely demonstrate that a child is or is not good at standardized tests. Students should not be judged by what they cannot do, but what they can do, and education should focus on bringing out the individual's potential. Until recently, this view was considered utopian and unrealistic, but now a new theory of learning and intelligence has finally forced educators and policymakers to reconsider the pedagogical methods of the last century - the theory of Multiple Intelligences. MULTIPLE INTELLIGENCES theory, in a nutshell, is a pluralized way of understanding the intellect. Recent advances in cognitive science, developmental psychology and neuroscience suggest that each person's level of intelligence, as it has been traditionally considered, is actually made up of autonomous faculties that can work individually or in concert with other faculties. Howard Gardner originally identified seven such faculties, which he labeled as "intelligences":
BECAUSE THE TRADITIONAL understanding of intelligence assumes that our ability to learn and do things comes out of a uniform cognitive capacity, some researchers began to experiment with the possibility that such an intelligence would be fairly easy to measure - and thus be very useful in assessing students in order to place them at an appropriate academic level. At the turn of the century, the educators of Paris asked psychologist Alfred Binet to formulate a test that could be use to analyze a child's intelligence in order to uncover his or her weaknesses. The Intelligence Quotient, or IQ test, was thus born. Though Binet's IQ test (now known as the Stanford-Binet Test) was originally used to discover a student's intellectual shortcomings (and thus used as a guide to tutor them appropriately), it quickly caught on in the US as a way to rank students as more or less capable in school. With an average score of 100, a student who scored a 131, for example could be placed in a gifted program, while another who scored 81 could be placed in special education. Though there was some reservation about coding students by a test-determined score (why, for instance, was a 131 acceptable for a gifted program, while a 127 was not?), the IQ test went on to become a near-national standard. The measuring of raw intelligence with tests continued in all areas of education. One of the most famous examples is the Scholastic Aptitude Test, or SAT. The SAT, which analyzes a student's mathematic and gramatical abilities as well as reading comprehension and vocabulary, is used by nearly every college in America to help determine whether a student is qualified to enter that institution. Because it is assumed that the SAT can predict future achievement, certain scores could automatically dictate whether a student was in or out of a prospective program. To this day, American education is dictated by the student's scores on a battery of intelligence tests, from kindergarten through university. Advocates of traditional education continue to push this paradigm of Uniform Schooling - an educational system based on national standards and efficient, cost-effective assessment in the form of multiple choice, number two pencil exams. Against this long-lived convention, though, many researchers, educators, even parents, have expressed reservation that such tests do nothing to judge a student's potential - they merely demonstrate that a child is or is not good at standardized tests. Students should not be judged by what they cannot do, but what they can do, and education should focus on bringing out the individual's potential. Until recently, this view was considered utopian and unrealistic, but now a new theory of learning and intelligence has finally forced educators and policymakers to reconsider the pedagogical methods of the last century - the theory of Multiple Intelligences. MULTIPLE INTELLIGENCES theory, in a nutshell, is a pluralized way of understanding the intellect. Recent advances in cognitive science, developmental psychology and neuroscience suggest that each person's level of intelligence, as it has been traditionally considered, is actually made up of autonomous faculties that can work individually or in concert with other faculties. Howard Gardner originally identified seven such faculties, which he labeled as "intelligences":
BECAUSE THE TRADITIONAL understanding of intelligence assumes that our ability to learn and do things comes out of a uniform cognitive capacity, some researchers began to experiment with the possibility that such an intelligence would be fairly easy to measure - and thus be very useful in assessing students in order to place them at an appropriate academic level. At the turn of the century, the educators of Paris asked psychologist Alfred Binet to formulate a test that could be use to analyze a child's intelligence in order to uncover his or her weaknesses. The Intelligence Quotient, or IQ test, was thus born. Though Binet's IQ test (now known as the Stanford-Binet Test) was originally used to discover a student's intellectual shortcomings (and thus used as a guide to tutor them appropriately), it quickly caught on in the US as a way to rank students as more or less capable in school. With an average score of 100, a student who scored a 131, for example could be placed in a gifted program, while another who scored 81 could be placed in special education. Though there was some reservation about coding students by a test-determined score (why, for instance, was a 131 acceptable for a gifted program, while a 127 was not?), the IQ test went on to become a near-national standard. The measuring of raw intelligence with tests continued in all areas of education. One of the most famous examples is the Scholastic Aptitude Test, or SAT. The SAT, which analyzes a student's mathematic and gramatical abilities as well as reading comprehension and vocabulary, is used by nearly every college in America to help determine whether a student is qualified to enter that institution. Because it is assumed that the SAT can predict future achievement, certain scores could automatically dictate whether a student was in or out of a prospective program. To this day, American education is dictated by the student's scores on a battery of intelligence tests, from kindergarten through university. Advocates of traditional education continue to push this paradigm of Uniform Schooling - an educational system based on national standards and efficient, cost-effective assessment in the form of multiple choice, number two pencil exams. Against this long-lived convention, though, many researchers, educators, even parents, have expressed reservation that such tests do nothing to judge a student's potential - they merely demonstrate that a child is or is not good at standardized tests. Students should not be judged by what they cannot do, but what they can do, and education should focus on bringing out the individual's potential. Until recently, this view was considered utopian and unrealistic, but now a new theory of learning and intelligence has finally forced educators and policymakers to reconsider the pedagogical methods of the last century - the theory of Multiple Intelligences. MULTIPLE INTELLIGENCES theory, in a nutshell, is a pluralized way of understanding the intellect. Recent advances in cognitive science, developmental psychology and neuroscience suggest that each person's level of intelligence, as it has been traditionally considered, is actually made up of autonomous faculties that can work individually or in concert with other faculties. Howard Gardner originally identified seven such faculties, which he labeled as "intelligences":
BECAUSE THE TRADITIONAL understanding of intelligence assumes that our ability to learn and do things comes out of a uniform cognitive capacity, some researchers began to experiment with the possibility that such an intelligence would be fairly easy to measure - and thus be very useful in assessing students in order to place them at an appropriate academic level. At the turn of the century, the educators of Paris asked psychologist Alfred Binet to formulate a test that could be use to analyze a child's intelligence in order to uncover his or her weaknesses. The Intelligence Quotient, or IQ test, was thus born. Though Binet's IQ test (now known as the Stanford-Binet Test) was originally used to discover a student's intellectual shortcomings (and thus used as a guide to tutor them appropriately), it quickly caught on in the US as a way to rank students as more or less capable in school. With an average score of 100, a student who scored a 131, for example could be placed in a gifted program, while another who scored 81 could be placed in special education. Though there was some reservation about coding students by a test-determined score (why, for instance, was a 131 acceptable for a gifted program, while a 127 was not?), the IQ test went on to become a near-national standard. The measuring of raw intelligence with tests continued in all areas of education. One of the most famous examples is the Scholastic Aptitude Test, or SAT. The SAT, which analyzes a student's mathematic and gramatical abilities as well as reading comprehension and vocabulary, is used by nearly every college in America to help determine whether a student is qualified to enter that institution. Because it is assumed that the SAT can predict future achievement, certain scores could automatically dictate whether a student was in or out of a prospective program. To this day, American education is dictated by the student's scores on a battery of intelligence tests, from kindergarten through university. Advocates of traditional education continue to push this paradigm of Uniform Schooling - an educational system based on national standards and efficient, cost-effective assessment in the form of multiple choice, number two pencil exams. Against this long-lived convention, though, many researchers, educators, even parents, have expressed reservation that such tests do nothing to judge a student's potential - they merely demonstrate that a child is or is not good at standardized tests. Students should not be judged by what they cannot do, but what they can do, and education should focus on bringing out the individual's potential. Until recently, this view was considered utopian and unrealistic, but now a new theory of learning and intelligence has finally forced educators and policymakers to reconsider the pedagogical methods of the last century - the theory of Multiple Intelligences. MULTIPLE INTELLIGENCES theory, in a nutshell, is a pluralized way of understanding the intellect. Recent advances in cognitive science, developmental psychology and neuroscience suggest that each person's level of intelligence, as it has been traditionally considered, is actually made up of autonomous faculties that can work individually or in concert with other faculties. Howard Gardner originally identified seven such faculties, which he labeled as "intelligences":
BECAUSE THE TRADITIONAL understanding of intelligence assumes that our ability to learn and do things comes out of a uniform cognitive capacity, some researchers began to experiment with the possibility that such an intelligence would be fairly easy to measure - and thus be very useful in assessing students in order to place them at an appropriate academic level. At the turn of the century, the educators of Paris asked psychologist Alfred Binet to formulate a test that could be use to analyze a child's intelligence in order to uncover his or her weaknesses. The Intelligence Quotient, or IQ test, was thus born. Though Binet's IQ test (now known as the Stanford-Binet Test) was originally used to discover a student's intellectual shortcomings (and thus used as a guide to tutor them appropriately), it quickly caught on in the US as a way to rank students as more or less capable in school. With an average score of 100, a student who scored a 131, for example could be placed in a gifted program, while another who scored 81 could be placed in special education. Though there was some reservation about coding students by a test-determined score (why, for instance, was a 131 acceptable for a gifted program, while a 127 was not?), the IQ test went on to become a near-national standard. The measuring of raw intelligence with tests continued in all areas of education. One of the most famous examples is the Scholastic Aptitude Test, or SAT. The SAT, which analyzes a student's mathematic and gramatical abilities as well as reading comprehension and vocabulary, is used by nearly every college in America to help determine whether a student is qualified to enter that institution. Because it is assumed that the SAT can predict future achievement, certain scores could automatically dictate whether a student was in or out of a prospective program. To this day, American education is dictated by the student's scores on a battery of intelligence tests, from kindergarten through university. Advocates of traditional education continue to push this paradigm of Uniform Schooling - an educational system based on national standards and efficient, cost-effective assessment in the form of multiple choice, number two pencil exams. Against this long-lived convention, though, many researchers, educators, even parents, have expressed reservation that such tests do nothing to judge a student's potential - they merely demonstrate that a child is or is not good at standardized tests. Students should not be judged by what they cannot do, but what they can do, and education should focus on bringing out the individual's potential. Until recently, this view was considered utopian and unrealistic, but now a new theory of learning and intelligence has finally forced educators and policymakers to reconsider the pedagogical methods of the last century - the theory of Multiple Intelligences. MULTIPLE INTELLIGENCES theory, in a nutshell, is a pluralized way of understanding the intellect. Recent advances in cognitive science, developmental psychology and neuroscience suggest that each person's level of intelligence, as it has been traditionally considered, is actually made up of autonomous faculties that can work individually or in concert with other faculties. Howard Gardner originally identified seven such faculties, which he labeled as "intelligences":
BECAUSE THE TRADITIONAL understanding of intelligence assumes that our ability to learn and do things comes out of a uniform cognitive capacity, some researchers began to experiment with the possibility that such an intelligence would be fairly easy to measure - and thus be very useful in assessing students in order to place them at an appropriate academic level. At the turn of the century, the educators of Paris asked psychologist Alfred Binet to formulate a test that could be use to analyze a child's intelligence in order to uncover his or her weaknesses. The Intelligence Quotient, or IQ test, was thus born. Though Binet's IQ test (now known as the Stanford-Binet Test) was originally used to discover a student's intellectual shortcomings (and thus used as a guide to tutor them appropriately), it quickly caught on in the US as a way to rank students as more or less capable in school. With an average score of 100, a student who scored a 131, for example could be placed in a gifted program, while another who scored 81 could be placed in special education. Though there was some reservation about coding students by a test-determined score (why, for instance, was a 131 acceptable for a gifted program, while a 127 was not?), the IQ test went on to become a near-national standard. The measuring of raw intelligence with tests continued in all areas of education. One of the most famous examples is the Scholastic Aptitude Test, or SAT. The SAT, which analyzes a student's mathematic and gramatical abilities as well as reading comprehension and vocabulary, is used by nearly every college in America to help determine whether a student is qualified to enter that institution. Because it is assumed that the SAT can predict future achievement, certain scores could automatically dictate whether a student was in or out of a prospective program. To this day, American education is dictated by the student's scores on a battery of intelligence tests, from kindergarten through university. Advocates of traditional education continue to push this paradigm of Uniform Schooling - an educational system based on national standards and efficient, cost-effective assessment in the form of multiple choice, number two pencil exams. Against this long-lived convention, though, many researchers, educators, even parents, have expressed reservation that such tests do nothing to judge a student's potential - they merely demonstrate that a child is or is not good at standardized tests. Students should not be judged by what they cannot do, but what they can do, and education should focus on bringing out the individual's potential. Until recently, this view was considered utopian and unrealistic, but now a new theory of learning and intelligence has finally forced educators and policymakers to reconsider the pedagogical methods of the last century - the theory of Multiple Intelligences. MULTIPLE INTELLIGENCES theory, in a nutshell, is a pluralized way of understanding the intellect. Recent advances in cognitive science, developmental psychology and neuroscience suggest that each person's level of intelligence, as it has been traditionally considered, is actually made up of autonomous faculties that can work individually or in concert with other faculties. Howard Gardner originally identified seven such faculties, which he labeled as "intelligences":
BECAUSE THE TRADITIONAL understanding of intelligence assumes that our ability to learn and do things comes out of a uniform cognitive capacity, some researchers began to experiment with the possibility that such an intelligence would be fairly easy to measure - and thus be very useful in assessing students in order to place them at an appropriate academic level. At the turn of the century, the educators of Paris asked psychologist Alfred Binet to formulate a test that could be use to analyze a child's intelligence in order to uncover his or her weaknesses. The Intelligence Quotient, or IQ test, was thus born. Though Binet's IQ test (now known as the Stanford-Binet Test) was originally used to discover a student's intellectual shortcomings (and thus used as a guide to tutor them appropriately), it quickly caught on in the US as a way to rank students as more or less capable in school. With an average score of 100, a student who scored a 131, for example could be placed in a gifted program, while another who scored 81 could be placed in special education. Though there was some reservation about coding students by a test-determined score (why, for instance, was a 131 acceptable for a gifted program, while a 127 was not?), the IQ test went on to become a near-national standard. The measuring of raw intelligence with tests continued in all areas of education. One of the most famous examples is the Scholastic Aptitude Test, or SAT. The SAT, which analyzes a student's mathematic and gramatical abilities as well as reading comprehension and vocabulary, is used by nearly every college in America to help determine whether a student is qualified to enter that institution. Because it is assumed that the SAT can predict future achievement, certain scores could automatically dictate whether a student was in or out of a prospective program. To this day, American education is dictated by the student's scores on a battery of intelligence tests, from kindergarten through university. Advocates of traditional education continue to push this paradigm of Uniform Schooling - an educational system based on national standards and efficient, cost-effective assessment in the form of multiple choice, number two pencil exams. Against this long-lived convention, though, many researchers, educators, even parents, have expressed reservation that such tests do nothing to judge a student's potential - they merely demonstrate that a child is or is not good at standardized tests. Students should not be judged by what they cannot do, but what they can do, and education should focus on bringing out the individual's potential. Until recently, this view was considered utopian and unrealistic, but now a new theory of learning and intelligence has finally forced educators and policymakers to reconsider the pedagogical methods of the last century - the theory of Multiple Intelligences. MULTIPLE INTELLIGENCES theory, in a nutshell, is a pluralized way of understanding the intellect. Recent advances in cognitive science, developmental psychology and neuroscience suggest that each person's level of intelligence, as it has been traditionally considered, is actually made up of autonomous faculties that can work individually or in concert with other faculties. Howard Gardner originally identified seven such faculties, which he labeled as "intelligences":
BECAUSE THE TRADITIONAL understanding of intelligence assumes that our ability to learn and do things comes out of a uniform cognitive capacity, some researchers began to experiment with the possibility that such an intelligence would be fairly easy to measure - and thus be very useful in assessing students in order to place them at an appropriate academic level. At the turn of the century, the educators of Paris asked psychologist Alfred Binet to formulate a test that could be use to analyze a child's intelligence in order to uncover his or her weaknesses. The Intelligence Quotient, or IQ test, was thus born. Though Binet's IQ test (now known as the Stanford-Binet Test) was originally used to discover a student's intellectual shortcomings (and thus used as a guide to tutor them appropriately), it quickly caught on in the US as a way to rank students as more or less capable in school. With an average score of 100, a student who scored a 131, for example could be placed in a gifted program, while another who scored 81 could be placed in special education. Though there was some reservation about coding students by a test-determined score (why, for instance, was a 131 acceptable for a gifted program, while a 127 was not?), the IQ test went on to become a near-national standard. The measuring of raw intelligence with tests continued in all areas of education. One of the most famous examples is the Scholastic Aptitude Test, or SAT. The SAT, which analyzes a student's mathematic and gramatical abilities as well as reading comprehension and vocabulary, is used by nearly every college in America to help determine whether a student is qualified to enter that institution. Because it is assumed that the SAT can predict future achievement, certain scores could automatically dictate whether a student was in or out of a prospective program. To this day, American education is dictated by the student's scores on a battery of intelligence tests, from kindergarten through university. Advocates of traditional education continue to push this paradigm of Uniform Schooling - an educational system based on national standards and efficient, cost-effective assessment in the form of multiple choice, number two pencil exams. Against this long-lived convention, though, many researchers, educators, even parents, have expressed reservation that such tests do nothing to judge a student's potential - they merely demonstrate that a child is or is not good at standardized tests. Students should not be judged by what they cannot do, but what they can do, and education should focus on bringing out the individual's potential. Until recently, this view was considered utopian and unrealistic, but now a new theory of learning and intelligence has finally forced educators and policymakers to reconsider the pedagogical methods of the last century - the theory of Multiple Intelligences. MULTIPLE INTELLIGENCES theory, in a nutshell, is a pluralized way of understanding the intellect. Recent advances in cognitive science, developmental psychology and neuroscience suggest that each person's level of intelligence, as it has been traditionally considered, is actually made up of autonomous faculties that can work individually or in concert with other faculties. Howard Gardner originally identified seven such faculties, which he labeled as "intelligences":