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Gorbunova, Anna; van Merrienboer, Jeroen J. G.; Costley, Jamie – Educational Psychology Review, 2023
Since Bruner's introduction of discovery learning in the 1960s, there has been an ongoing and intensive debate on the value of inductive teaching methods (e.g., problem-solving followed by instruction, such as in problem-based learning and productive failure) compared to deductive teaching methods (instruction followed by problem-solving, such as…
Descriptors: Teaching Methods, Cognitive Ability, Discovery Learning, Logical Thinking
Laurent Cervoni; Julien Brasseur – International Association for Development of the Information Society, 2022
A Prolog program consists of a set of facts and rules rather than imperative statements, commonly used in most other programming languages. Therefore, the Prolog language is used to encode logic, from which the inference engine deduces logical conclusions. In this article, we argue that the use of the Prolog language can be useful to help students…
Descriptors: Teaching Methods, Mathematics Instruction, Problem Solving, Programming Languages
Antonides, Joseph; Battista, Michael T. – ZDM: Mathematics Education, 2022
Lockwood has argued that taking a set-oriented perspective is critical for successful combinatorial enumeration. To date, however, the research literature has not yet captured the cognitive processes involved in taking such a perspective. In this theoretical paper, we elaborate the constructs of spatial structuring and spatial-numerical linked…
Descriptors: Cognitive Processes, Spatial Ability, Computation, Mathematics Instruction
Judith Galezer; Smadar Szekely – Informatics in Education, 2024
Spark, one of the products offered by MyQ (formerly Plethora), is a game-based platform meticulously designed to introduce students to the foundational concepts of computer science. By navigating through logical challenges, users delve into topics like abstraction, loops, and graph patterns. Setting itself apart from its counterparts, Spark boasts…
Descriptors: Learning Management Systems, Game Based Learning, Computer Science Education, Teaching Methods
Singer, Florence Mihaela; Voica, Cristian – ZDM: Mathematics Education, 2022
While patterning was commonly seen as evidence of mathematical thinking, interdisciplinary interest has recently increased due to pattern-recognition applications in artificial intelligence. Within two empirical studies, we analyze the analogical-transfer capability of primary school students when completing three types of bi-dimensional patterns,…
Descriptors: Mathematical Concepts, Pattern Recognition, Elementary School Students, Cognitive Processes
Erol, Mustafa; Oflaz, Özlem – Electronic Journal for Research in Science & Mathematics Education, 2020
In contrast to the determinist and non-discrete structure of classical physical concepts, the probabilistic and discrete/quantised structure of quantum physics embeds certain difficulties in deeper understanding and teaching activities. In this study, in order to understand and to teach the concept of quantization more effectively, a clear analogy…
Descriptors: Teaching Methods, Science Instruction, Quantum Mechanics, Mechanics (Physics)
Sternberg, Robert J. – Journal of Intelligence, 2021
This article explores the advantages of viewing intelligence not as a fixed trait residing within an individual, but rather as a person × task × situation interaction. The emphasis in the article is on the role of persons solving tasks embedded in situations involving learning, intellectual abilities, and competencies. The article opens with a…
Descriptors: Intelligence, Personality Traits, Problem Solving, Learning Processes
Leron, Uri; Ejersbo, Lisser Rye – International Journal of Mathematical Education in Science and Technology, 2021
Research in psychology and in mathematics education has documented the ubiquity of "intuition traps" -- tasks that elicit non-normative responses from most people. Researchers in cognitive psychology often view these responses negatively, as a sign of irrational behaviour. Others, notably mathematics educators, view them as necessary…
Descriptors: Mathematics Instruction, Intuition, Teaching Methods, Error Patterns
Huang, Haigen – Wake County Public School System, 2018
In a global economy, stakeholders need to keep themselves well-informed in terms of how their local schools perform when compared with schools across the country and around the world. In doing so, they will be able to consider how well their schools are doing in a larger context and identify strengths as well as areas to target for improvement.…
Descriptors: Critical Thinking, Measures (Individuals), Thinking Skills, Logical Thinking
Beghetto, Ronald A. – ECNU Review of Education, 2019
Purpose: This article, based on an invited talk, aims to explore the relationship among large-scale assessments, creativity and personalized learning. Design/Approach/Methods: Starting with the working definition of large-scale assessments, creativity, and personalized learning, this article identified the paradox of combining these three…
Descriptors: Measurement, Creativity, Problem Solving, Artificial Intelligence
Cutumisu, Maria; Adams, Cathy; Lu, Chang – Journal of Science Education and Technology, 2019
Computational thinking (CT) is regarded as an essential twenty-first century competency and it is already embedded in K-12 curricula across the globe. However, research on assessing CT has lagged, with few assessments being implemented and validated. Moreover, there is a lack of systematic grouping of CT assessments. This scoping review examines…
Descriptors: Computation, Thinking Skills, 21st Century Skills, Elementary Secondary Education
Chitpin, Stephanie – International Journal of Educational Management, 2017
Purpose: The purpose of this paper is to illustrate how associationism mistakenly assumes that direct experience is possible; that is, there is expectation-free observation and association without prior expectation. Thus, associationism assumes that learning involves the absorption of information from the environment itself. However, contrary…
Descriptors: Abstract Reasoning, Associative Learning, Association (Psychology), Philosophy
Richland, Lindsey E.; Begolli, Kreshnik Nasi; Simms, Nina; Frausel, Rebecca R.; Lyons, Emily A. – Educational Psychology Review, 2017
Mathematical discussions in which students compare alternative solutions to a problem can be powerful modes for students to engage and refine their misconceptions into conceptual understanding, as well as to develop understanding of the mathematics underlying common algorithms. At the same time, these discussions are challenging to lead…
Descriptors: Mathematics Instruction, Problem Solving, Literature Reviews, Mathematical Logic
Richland, Lindsey E.; Begolli, Kreshnik Nasi; Simms, Nina; Frausel, Rebecca R.; Lyons, Emily A. – Grantee Submission, 2016
Mathematical discussions in which students compare alternative solutions to a problem can be powerful modes for students to engage and refine their misconceptions into conceptual understanding, as well as to develop understanding of the mathematics underlying common algorithms. At the same time, these discussions are challenging to lead…
Descriptors: Mathematics Instruction, Problem Solving, Difficulty Level, Cognitive Processes
Davidovitch, Nitza; Belichenko, Margarita; Kravchenko, Yurii – Journal of Education and Learning, 2017
The article combines a theoretical approach to structuring knowledge that is based on the integrated use of fuzzy semantic network theory predicates, Boolean functions, theory of complexity of network structures and some practical aspects to be considered in the distance learning at the university. The paper proposes a methodological approach that…
Descriptors: Program Implementation, Interaction, Higher Education, Distance Education