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Paulo R. M. Correia; Ian M. Kinchin; Adriano N. Conceição – Knowledge Management & E-Learning, 2023
The evolution of concept mapping has benefitted from the robust theoretical basis provided by Ausubelian learning theory. However, for concept mapping to maintain its relevance and to keep pace with the evolutionary changes in the educational context, it is vital that educational researchers and classroom practitioners can augment this theoretical…
Descriptors: Concept Mapping, Semantics, Cognitive Structures, Learning Theories
Buitrago, Mauricio; Chiappe, Andres – Australasian Journal of Educational Technology, 2019
The representation of knowledge is a process widely used in education for its potential to generate deep learning, metacognition, and also in mapping the student's cognitive structure while developing a broad spectrum of thinking skills. Notwithstanding the above mentioned benefits, the development and evolution of new digital ecologies of…
Descriptors: Knowledge Representation, Educational Environment, Educational Technology, Thinking Skills
Sennott, Samuel C.; Akagi, Linda; Lee, Mary; Rhodes, Anthony – Topics in Language Disorders, 2019
Artificially intelligent tools have given us the capability to use technology to address ever more complex challenges. What are the capabilities, challenges, and hazards of incorporating and developing this technology for augmentative and alternative communication (AAC)? "Artificial intelligence" (AI) can be defined as the capability of…
Descriptors: Augmentative and Alternative Communication, Artificial Intelligence, Knowledge Representation, Thinking Skills
Herlina, Elda; Batusangkar, Stain – Journal of Education and Practice, 2015
This journal article discusses Advanced Mathematical Thinking (AMT) and how to enhance it. AMT is ability in representing, abstracting, creative thinking, and mathematical proving. The importance of AMT ability development in accord with government expectation who realize about the importance of mathematical competency mastery for student's life.…
Descriptors: Mathematics Education, Mathematics Skills, Thinking Skills, Abstract Reasoning
Halverson, Kristy L.; Pires, Chris J.; Abell, Sandra K. – Science Education, 2011
Student understanding of biological representations has not been well studied. Yet, we know that to be efficient problem solvers in evolutionary biology and systematics, college students must develop expertise in thinking with a particular type of representation, phylogenetic trees. The purpose of this study was to understand how undergraduates…
Descriptors: Evolution, Classification, Biodiversity, Knowledge Representation
Taatgen, Niels A.; Huss, David; Dickison, Daniel; Anderson, John R. – Journal of Experimental Psychology: General, 2008
The authors introduce a model of skill acquisition that incorporates elements of both traditional models and models based on embedded cognition by striking a balance between top-down and bottom-up control. A knowledge representation is used in which pre- and postconditions are attached to actions. This model captures improved performance due to…
Descriptors: Knowledge Representation, Models, Thinking Skills, Task Analysis
Lai, Yuan – Exceptionality Education International, 2009
While conceptualizations of giftedness have been broadened to include many forms of giftedness, a reconceptualization of gifted programs has not followed. The paper argues that the Reggio Emilia approach to early childhood education, combining important features of the fields of early childhood education and gifted education, is a good fit for…
Descriptors: Academically Gifted, Early Childhood Education, Young Children, Knowledge Representation

Ford, Nigel – Journal of Documentation, 1999
Discusses the requirements of information retrieval systems to support creative thinking as well as more convergent thinking. Highlights include the nature of creative thinking; similarity relationships; serendipity; machine processing of similarities; high order knowledge representation; and fuzzy and parallel information retrieval. (Contains 34…
Descriptors: Creative Thinking, Information Retrieval, Knowledge Representation, Thinking Skills
Solaz-Portoles, Joan Josep; Lopez, Vicent Sanjose – Asia-Pacific Forum on Science Learning and Teaching, 2007
In this paper we focus on some of the findings of the science education research community in the area of representations and problem solving. Problem solving depends on the construction and manipulation of mental models (internal representations) in the mind. A large knowledge base (declarative, procedural, strategic, situational, and schematic…
Descriptors: Learning Strategies, Problem Solving, Metacognition, Short Term Memory
Shute, Valerie J. – 1994
For an intelligent tutoring system (ITS) to earn its "I", it must be able to (1) accurately diagnose students' knowledge structures, skills, and/or learning styles using principles, rather than pre-programmed responses, to decide what to do next; and (2) adapt instruction accordingly. While some maintain that remediation actually…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Knowledge Representation, Models
Dobson, M. W. – 1994
People find difficulty in performing syllogistic reasoning. This paper outlines some reasons for poor syllogistic reasoning. Representational systems (RS) used in presenting and evaluating syllogisms can be distinguished in terms of attributes such as specificity, expressiveness, and abstraction. Graphical RSs have pedagogical potential because of…
Descriptors: Educational Media, Foreign Countries, Knowledge Representation, Thinking Skills

Gray, Eddie; Pinto, Marcia; Pitta, Demetra; Tall, David – Educational Studies in Mathematics, 1999
Considers the cognitive mechanisms available to individuals which enable them to operate successfully in different parts of the mathematics curriculum, such as children's arithmetic shows divergence in performance. Explains how students cope with the transition to advanced mathematical thinking in different ways, leading once more to a diverging…
Descriptors: Abstract Reasoning, Cognitive Processes, Elementary Secondary Education, Knowledge Representation
Echevarria, Marissa – 2001
The knowledge construction and scientific reasoning of two classes of seventh grade students (22 to 24 students in each class) were examined during a 3-week inquiry unit in genetics, in which anomalies were used as a catalyst for conceptual change. During the unit, students used genetics simulation software to mate fruit flies that varied on a…
Descriptors: Genetics, Junior High School Students, Junior High Schools, Knowledge Representation

Riggs, K. J.; Robinson, E. J. – Journal of Experimental Child Psychology, 1995
Three- and four-year olds were asked to recall their own or another person's actions and to acknowledge the false belief upon which the action was based. They showed excellent recall of inappropriate actions based on a false belief, but failed to use the recalled action as a clue to acknowledge the false belief upon which it was based. (TJQ)
Descriptors: Abstract Reasoning, Cognitive Development, Concept Formation, Cues

Talanquer, Vicente – Science Teacher, 2002
Presents an account of one teacher's path to realizing the depth of intuitive beliefs about science. Organizes chemistry misconceptions into eight patterns of reasoning that include thinking rules and alternative conceptions. (DDR)
Descriptors: Chemistry, Concept Formation, Knowledge Representation, Learning Strategies