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Showing 1 to 15 of 26 results Save | Export
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Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
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Pawlak, Miroslaw – Language Teaching Research Quarterly, 2022
Research into the role of individual difference (ID) factors in the process of second and foreign language (L2) learning and teaching has been one of the most robust lines of inquiry in the field of second language acquisition (SLA; Dörnyei & Ryan, 2015; Griffiths & Soruç, 2020; Pawlak & Kruk, 2022). Most of these empirical…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Teaching Methods
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Mingjie Zou; Binhai Ren – Journal for the Psychology of Language Learning, 2024
Flow, a subjective state of optimal engagement and immersion, is characterized by a balance of perceived challenges and skills, interest, attention, and a sense of control (Csikszentmihalyi, 1990). Investigating flow in language learning can provide valuable insights into effective learning processes and contexts (Egbert, 2003). Self-regulated…
Descriptors: Metacognition, Learning Strategies, English (Second Language), Second Language Learning
Amy Jean Konyn – ProQuest LLC, 2021
Natural language is highly complex and can be challenging for some learners, yet the contribution of complexity to individual differences in language learning remains poorly understood. This poor understanding appears due to both a lack of consensus among researchers regarding what complexity is, and to on-line language research often employing…
Descriptors: Phonology, Natural Language Processing, Native Language, English
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Wynton, Sarah K. A.; Anglim, Jeromy – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
While researchers have often sought to understand the learning curve in terms of multiple component processes, few studies have measured and mathematically modeled these processes on a complex task. In particular, there remains a need to reconcile how abrupt changes in strategy use can co-occur with gradual changes in task completion time. Thus,…
Descriptors: Learning Strategies, Learning Processes, Bayesian Statistics, Computer Assisted Instruction
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Gass, Susan; Winke, Paula; Isbell, Daniel R.; Ahn, Jieun – Language Learning & Technology, 2019
Captions provide a useful aid to language learners for comprehending videos and learning new vocabulary, aligning with theories of multimedia learning. Multimedia learning predicts that a learner's working memory (WM) influences the usefulness of captions. In this study, we present two eye-tracking experiments investigating the role of WM in…
Descriptors: Eye Movements, Short Term Memory, Multimedia Instruction, Teaching Methods
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Doolittle, Peter E.; Mariano, Gina J. – Journal of Educational Multimedia and Hypermedia, 2008
The present study examined the effects of individual differences in working memory capacity (WMC) on learning from an historical inquiry multimedia tutorial in stationary versus mobile learning environments using a portable digital media player (i.e., iPod). Students with low (n = 44) and high (n = 40) working memory capacity, as measured by the…
Descriptors: Physical Activities, Recall (Psychology), Short Term Memory, Multimedia Instruction
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Grimley, Michael – Educational Psychology, 2007
This paper explores whether the principles of cognitive load and multimedia theory are mediated by cognitive style, gender, and prior knowledge. Participants were 91 children aged 10-11 years (54 boys, 37 girls), each assigned to one of two presentation modes. In Condition 1 children were presented with diagrams supported by printed textual…
Descriptors: Prior Learning, Multimedia Materials, Comprehension, Cognitive Style
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Prins, Fran J.; Veenman, Marcel V. J.; Elshout, Jan J. – Learning and Instruction, 2006
Three models representing different relations between intellectual ability, metacognitive skills, and learning were compared. The conditions under which each of these models holds were investigated, on the basis of the threshold of problematicity theory [Elshout, J. J. (1987). Problem solving and education. In E. De Corte, H. Lodewijks, R.…
Descriptors: Metacognition, Cognitive Ability, Models, Comparative Analysis
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Geisert, Gene; And Others – Journal of Reading, Writing, and Learning Disabilities International, 1990
The article examines various ways in which learning style differences impact on the ease with which individuals gain computer mastery. Specific programs which respond better or less well to selected cognitive styles are also cited. (Author/DB)
Descriptors: Cognitive Style, Computer Assisted Instruction, Computer Managed Instruction, Courseware
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Ayersman, David J.; Minden, Avril von – Computers in Human Behavior, 1995
Provides a conceptual foundation for the development of hypermedia as an instructional tool for addressing individual differences in learning styles. Highlights include a literature review; computers and instruction; individual differences, computers, and instruction; cognitive controls; cognitive styles and learning; personality types; and future…
Descriptors: Cognitive Style, Computer Assisted Instruction, Futures (of Society), Hypermedia
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
Watson, Paul G. – 1972
An attempt is made in this monograph to synthesize and review the literature dealing with the use of computers in education. Chapter one reviews current modes of computer utilization in education, sketches some of the historical antecedents leading to the current state of the art, and defines some of the terminology and concepts referred to in the…
Descriptors: Computer Assisted Instruction, Computers, Educational Change, Individual Differences
McCombs, Barbara L.; Dobrovolny, Jacqueline L. – 1980
In the area of aptitude-treatment interaction (ATI) research, an outcome variable which has received relatively little attention is differential student learning times, or students' relative learning efficiency on one treatment as opposed to another. Although it has been argued that learning times are not appropriate variables for evaluating…
Descriptors: Aptitude Treatment Interaction, Audiovisual Communications, Computer Assisted Instruction, Individual Differences
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