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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
Higham, Philip A.; Zengel, Bettina; Bartlett, Laura K.; Hadwin, Julie A. – Journal of Educational Psychology, 2022
Successive relearning involves repeated retrieval practice of the same information (with feedback) over multiple, spaced sessions. We implemented successive relearning in an introductory psychology class to explore potential learning benefits. After each weekly lecture, students were sent links via e-mail to engage in three learning practice…
Descriptors: Learning Processes, Feedback (Response), Retention (Psychology), Study Habits
Kim, Sun-A; Packard, Jerome; Christianson, Kiel; Anderson, Richard C.; Shin, Jeong-Ah – Reading and Writing: An Interdisciplinary Journal, 2016
This study investigated whether orthographic consistency and individual learner differences including working memory (WM), first language (L1) background, and second language (L2) proficiency affect Chinese L2 learners' literacy acquisition. Seventy American college students in beginning or intermediate Chinese classes participated in a character…
Descriptors: Orthographic Symbols, Individual Differences, Second Language Learning, Chinese
Liu, Ran; Koedinger, Kenneth R. K – International Educational Data Mining Society, 2017
Research in Educational Data Mining could benefit from greater efforts to ensure that models yield reliable, valid, and interpretable parameter estimates. These efforts have especially been lacking for individualized student-parameter models. We collected two datasets from a sizable student population with excellent "depth" -- that is,…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Bayesian Statistics, Pretests Posttests
Hodgen, Jeremy; Foster, Colin; Marks, Rachel; Brown, Margaret – Education Endowment Foundation, 2018
This document presents a review of evidence commissioned by the Education Endowment Foundation to inform the guidance document "Improving Mathematics in Key Stages Two and Three" (Education Endowment Foundation, 2017). The review draws on a substantial parallel study by the same research team, funded by the Nuffield Foundation, which…
Descriptors: Mathematics Instruction, Foreign Countries, Mathematics Skills, Feedback (Response)
Peer reviewedAnderson, Lorin W. – Journal of Educational Psychology, 1976
Results show that student differences in time-on-task to learn to criterion are alterable and can be minimized over a sequence of learning units given appropriate adaptive learning strategies. (Author/DEP)
Descriptors: Arithmetic, Criterion Referenced Tests, Grade 8, Individual Differences
Peer reviewedResnick, Lauren B. – School Review, 1977
Benjamin S. Bloom claims in his new book, "Human Characteristics and School Learning", that any child can learn anything taught in school, given enough time and quality teaching. Author does not share his optimism. (Editor/RK)
Descriptors: Academic Achievement, Book Reviews, Critical Thinking, Equal Education
Federico, Pat-Anthony – 1984
To determine whether individual differences in student achievement and learning rate are reduced or eliminated by mastery instruction, 166 Navy trainees who had completed a computer-managed course in basic electricity and electronics were cluster-analyzed into groups, using 24 measures of cognitive characteristics. Discriminant analyses were…
Descriptors: Academic Achievement, Computer Managed Instruction, Individual Differences, Learning Processes
Federico, Pat-Anthony – 1984
To ascertain changes in cognitive correlates of learning as students advance through hierarchical instruction, 24 individual difference measures were obtained from 166 Navy trainees who had completed a computer-managed course in electricity and electronics. Principal component analysis and varimax rotation were computed for cognitive…
Descriptors: Academic Achievement, Aptitude Treatment Interaction, Cognitive Ability, Computer Managed Instruction
Nokes, Timothy J.; Ohlsson, Stellan – Cognitive Science, 2005
Contemporary theories of learning postulate one or at most a small number of different learning mechanisms. However, people are capable of mastering a given task through qualitatively different learning paths such as learning by instruction and learning by doing. We hypothesize that the knowledge acquired through such alternative paths differs…
Descriptors: Mastery Learning, Learning Theories, Laboratory Experiments, Learning Processes
Anderson, Lorin W. – 1975
Mastery learning can be described as a set of group-based, individualized, teaching and learning strategies based on the premise that virtually all students can and will, in time, learn what the school has to teach. Inherent in this description are assumptions concerning the nature of schools, classroom instruction, and learners. According to the…
Descriptors: Educational Philosophy, Educational Practices, Elementary Secondary Education, Group Instruction

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