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Ortega-Alvarez, Juan D.; Sanchez, William; Magana, Alejandra J. – IEEE Transactions on Education, 2018
Contribution: This paper adds to existing literature on teaching basic concepts of electricity using computer-based instruction; findings suggest that students can develop an accurate understanding of electric circuits when they generate multiple and complementary representations that build toward computational models. Background: Several studies…
Descriptors: Undergraduate Students, Computation, Concept Formation, Equipment
Asay, Loretta Johnson – ProQuest LLC, 2013
Analogies are ubiquitous during instruction in science classrooms, yet research about the effectiveness of using analogies has produced mixed results. An aspect seldom studied is a model of instruction when using analogies. The few existing models for instruction with analogies have not often been examined quantitatively. The Teaching With…
Descriptors: Science Education, Logical Thinking, Concept Mapping, Science Instruction
Chen, Wenli; Looi, Chee-Kit – British Journal of Educational Technology, 2011
A key stimulus of learning efficacy for students in the classroom is active participation and engagement in the learning process. This study examines the nature of teacher-student and student-student discourse when leveraged by an interactive technology--Group Scribbles (GS) in a Primary 5 Science classroom in Singapore which supports rapid…
Descriptors: Feedback (Response), Models, Computer Assisted Instruction, Logical Thinking
Barnes, Tiffany; Stamper, John – Educational Technology & Society, 2010
In building intelligent tutoring systems, it is critical to be able to understand and diagnose student responses in interactive problem solving. However, building this understanding into a computer-based intelligent tutor is a time-intensive process usually conducted by subject experts. Much of this time is spent in building production rules that…
Descriptors: Intelligent Tutoring Systems, Logical Thinking, Tutors, Probability
Hense, Jan; Kriz, Willy Christian; Wolfe, Joseph – Simulation & Gaming, 2009
Evaluations of gaming simulations and business games as teaching devices are typically end-state driven. This emphasis fails to detect how the simulation being evaluated does or does not bring about its desired consequences. This paper advances the use of a logic model approach, which possesses a holistic perspective that aims at including all…
Descriptors: Models, Logical Thinking, Business Education, Teaching Methods
Liu, Yuliang – Journal of Educational Technology Systems, 2012
This project was designed to test Mayer's multimedia theory in an elementary school to improve students' mathematics learning for low-income children. The study designed and developed two multimedia mathematics experiments in 3rd grade: 9's multiplication experiment and geometric solids experiment. The two experimental lessons were implemented in…
Descriptors: Mathematics Education, Low Income Groups, Pretests Posttests, Geometric Concepts
Bell, Edwin D.; Powell, Frankie Denise; Johnson-Green, Gwendolyn – Online Submission, 2011
This paper is a case study of the impact of a community-based, collaborative, mentoring intervention on the academic and personal success of a group of 32 students who were enrolled in Rowland Hill Latham Elementary School in the Winston-Salem/Forsyth County Schools during the year that the North Carolina Department of Public Instruction…
Descriptors: Mentors, Intervention, Models, Logical Thinking
Kinshuk, Taiyu Lin; McNab, Paul – Innovations in Education and Teaching International, 2006
Researchers have regarded inductive reasoning as one of the seven primary mental abilities that account for human intelligent behaviours. Researchers have also shown that inductive reasoning ability is one of the best predictors for academic performance. Modelling of inductive reasoning is therefore an important issue for providing adaptivity in…
Descriptors: Memory, Logical Thinking, Thinking Skills, Virtual Classrooms
Connell, Michael L. – 1989
The mathematical experiences of elementary students often focus on memorizing facts and rules as opposed to making sense of the subject and developing problem solving skills. Students spend large amounts of time processing, memorizing and sorting collections of data which are tasks well performed by computer technology. To correct this situation,…
Descriptors: Cognitive Structures, Computer Assisted Instruction, Computer Uses in Education, Concept Formation
Parnafes, Orit; Disessa, Andrea – International Journal of Computers for Mathematical Learning, 2004
This paper examines the idea that particular representations differentially support and enhance different cognitive processes, in particular different types of reasoning. Five case studies were conducted consisting of detailed observations of pairs of middle-school students interacting with a computer-based learning environment. The software…
Descriptors: Cognitive Processes, Case Studies, Middle School Students, Computer Assisted Instruction
Brown, John Seely; And Others – 1977
Automated Student Modelling explicates reasoning strategies, the representation of procedural skills, and underlying misconceptions as manifested in errors. A diagnostic model, based on a "procedural network" as opposed to a "semantic network," is presented which provides a technique both for modelling the underlying cognitive processes of a…
Descriptors: Cognitive Processes, Computer Assisted Instruction, Conceptual Schemes, Decision Making
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers