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Bernacki, Matthew L.; Walkington, Candace – Journal of Educational Psychology, 2018
Context personalization--the incorporation of students' out-of-school interests into learning tasks--has recently been shown to positively affect students' situational interest and their performance and learning in mathematics. However, few studies have shown effects on both interest and achievement, drawing into question whether context…
Descriptors: High School Students, Student Interests, Individualized Instruction, Mathematics Instruction
Meyer, Bonnie J. F.; Wijekumar, Kausalai K.; Lin, Yu-Chu – Journal of Educational Psychology, 2011
In the study, we investigated effects of 2 different versions of a web-based tutoring system to provide 5th-grade students with strategy instruction about text structure, which was an intervention to improve reading comprehension. The design feature assessed varied in individualization of instruction (individualized or standard). The more…
Descriptors: Reading Comprehension, Text Structure, Intervention, Computer Attitudes

Suppes, P.; And Others – Journal of Educational Psychology, 1976
A quantitative theory of student trajectories in a computer assisted instruction course for deaf students is developed and tested. The theory rests on certain qualitative assumptions about information processing. The fit of data to theory is reported in terms of the standard scale of grade placement. (Author/DEP)
Descriptors: Branching, Computer Assisted Instruction, Curriculum Evaluation, Deafness

Johnson, Roger T.; And Others – Journal of Educational Psychology, 1985
The impacts of computer-assisted cooperative, competitive, and individualistic instruction were compared on student achievement and attitudes. Results indicated that computer-assisted cooperative instruction promoted greater quantity and quality of daily achievement; more successful problem solving; and higher performance on factual recognition,…
Descriptors: Academic Achievement, Competition, Computer Assisted Instruction, Cooperation

Malone, Thomas W.; And Others – Journal of Educational Psychology, 1979
Ten models are proposed for predicting a student's final grade placement in a computer-assisted instruction curriculum from the time the student spends taking lessons. Two of the simplest models, using only the most recent point and parameters estimated for the whole group, are best at prediction. (Author/RD)
Descriptors: Academic Achievement, Computer Assisted Instruction, Educationally Disadvantaged, Elementary Education

Reid, Jackson B.; And Others – Journal of Educational Psychology, 1973
One purpose of this study was to examine computer-assisted instruction (CAI) performance in relation to certain individual difference variables and to help establish a basis for further research on this problem. (Author)
Descriptors: Analysis of Variance, Anxiety, College Students, Computer Assisted Instruction

Kinzie, Mable B.; And Others – Journal of Educational Psychology, 1988
Learner and program control of content review were provided in science computer-assisted instruction for 98 eighth graders. Results indicate that students given limited control over instruction can adjust their study behaviors appropriately and achieve greater learning in the same amount of time as do students not given such control. (TJH)
Descriptors: Academic Achievement, Computer Assisted Instruction, Grade 8, Individualized Instruction

Rothen, Wolfgang; Tennyson, Robert D. – Journal of Educational Psychology, 1977
Three strategies for selecting number of instances needed to learn legal concepts were compared. An adaptive strategy required 25 percent less time and resulted in better post test performance than a partially adaptive strategy. The partially adaptive strategy was 16 percent more efficient than the nonadaptive strategy, and resulted in better…
Descriptors: Adaptive Testing, Cognitive Style, Computer Assisted Instruction, Concept Formation

Park, Ok-Choon; Tennyson, Robert D. – Journal of Educational Psychology, 1980
Computer-based adaptive instructional strategies for concept learning were investigated. Selection of the number of examples according to on-task information was more efficient than pretask or pretask plus on-task information. A response-sensitive strategy was preferable to a response-insensitive strategy to determine the presentation order of…
Descriptors: Bayesian Statistics, Computer Assisted Instruction, Concept Formation, High Schools