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Fathali, Somayeh; Emadi, Azadeh – JALT CALL Journal, 2022
Although CALL is still an emerging area of study in many countries, several studies have shown the significant contribution of these countries to the development of CALL worldwide, among which Iran is no exception. Contrary to the vast number of review studies on how this interdisciplinary area of study has been developed at the international…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Teaching Methods
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Lucas, Lyrica; Helikar, Tomáš; Dauer, Joseph – International Journal of Science Education, 2022
Comprehensive understanding of complex biological systems necessitates the use of computational models because they facilitate visualisation and interrogation of system dynamics and data-driven analysis. Computational model-based (CMB) activities have demonstrated effectiveness in improving students' understanding and their ability to use and…
Descriptors: Cytology, Science Instruction, Teaching Methods, Biology
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Jairam, Dharmananda; Kiewra, Kenneth A.; Kauffman, Douglas F.; Zhao, Ruomeng – Contemporary Educational Psychology, 2012
This study investigated how best to study a matrix. Fifty-three participants studied a matrix topically (1 column at a time), categorically (1 row at a time), or in a unified way (all at once). Results revealed that categorical and unified study produced higher: (a) performance on relationship and fact tests, (b) study material satisfaction, and…
Descriptors: Computer Assisted Instruction, Investigations, Item Sampling, Learning
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Minogue, James; Jones, Gail – International Journal of Science Education, 2009
The application of Biggs' and Collis' Structure of Observed Learning Outcomes taxonomy in the evaluation of student learning about cell membrane transport via a computer-based learning environment is described in this study. Pre-test-post-test comparisons of student outcome data (n = 80) were made across two groups of randomly assigned students:…
Descriptors: Scientific Concepts, Outcomes of Education, Classification, Science Instruction
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Ainsworth, Shaaron – Computers & Education, 1999
Discusses multiple representations and multimedia learning environments; describes a functional taxonomy of MERs (multiple external representations); and considers how MERs are used to support cognitive processes in learning and problem solving with computers. (Contains 41 references.) (Author/LRW)
Descriptors: Classification, Cognitive Processes, Computer Assisted Instruction, Educational Environment
Kyllonen, Patrick C.; Shute, Valerie J. – 1988
Questions concerning individual differences in learning ability may be more precisely addressed in light of an agreed-upon taxonomy of learning skills. Existing taxonomies are reviewed, and their shortcomings are described. A taxonomy is then proposed based on a synthesis of current thought consisting of four dimensions: the forms of knowledge;…
Descriptors: Aptitude Tests, Classification, Cognitive Processes, Cognitive Style
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Beheshti, Jamshid – Education Libraries, 1995
Discusses the training of information professionals to use new technologies and provides two educational continua, depending on the knowledge base or level of competency, that may be used as guidelines for designing a new curriculum. Hardware and software continua are described based on an educational taxonomy in the cognitive domain. (LRW)
Descriptors: Classification, Cognitive Processes, Competence, Computer Assisted Instruction
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Chacon, Fabio – Open Learning, 1992
Describes a taxonomy of computer user modes in distance education and identifies three major learning and behavioral processes that are extended by computers: (1) information processing; (2) interaction; and (3) communication. Highlights for each process include the relationship to other media, pedagogical functions, hardware and software, and…
Descriptors: Classification, Cognitive Processes, Communication (Thought Transfer), Computer Assisted Instruction
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Sedig, Kamran; Sumner, Mark – International Journal of Computers for Mathematical Learning, 2006
This paper presents a characterization of computer-based interactions by which learners can explore and investigate visual mathematical representations (VMRs). VMRs (e.g., geometric structures, graphs, and diagrams) refer to graphical representations that visually encode properties and relationships of mathematical structures and concepts.…
Descriptors: Computer Assisted Instruction, Mathematics Instruction, Visual Stimuli, Mathematical Concepts
Herrington, Jan; Oliver, Ron – 1998
This paper describes a qualitative study that examined students' use of higher-order thinking as they use an interactive multimedia program based on a situated learning framework. The learning environment incorporated the following characteristics of a situated learning model: an authentic context; multiple perspectives; expert performances;…
Descriptors: Classification, Cognitive Processes, Computer Assisted Instruction, Content Analysis
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