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Direct linkKirk P. Vanacore; Ashish Gurung; Andrew A. McReynolds; Allison Liu; Stacy T. Shaw; Neil T. Heffernan – Grantee Submission, 2023
As evidence grows supporting the importance of non-cognitive factors in learning, computer-assisted learning platforms increasingly incorporate non-academic interventions to influence student learning and learning related-behaviors. Non-cognitive interventions often attempt to influence students' mindset, motivation, or metacognitive reflection to…
Descriptors: Intervention, Program Effectiveness, Student Behavior, Computer Assisted Instruction
Rutherford, Teomara; Liu, Allison S.; Lam, Arena S.; Schenke, Katerina – Journal of Research on Technology in Education, 2020
Self-beliefs are important determinants of student choice and success (Wigfield & Eccles, 2000) and are informed by student educational experiences, such as prior success with a task (Bandura, 1986). The potential for Computer-Based Interventions as self-belief-supporting learning environments is examined in this study, focusing on the…
Descriptors: Self Concept, Mastery Learning, Educational Experience, Intervention
Belland, Brian R.; Kim, ChanMin; Hannafin, Michael J. – Educational Psychologist, 2013
A problematic, yet common, assumption among educational researchers is that when teachers provide authentic, problem-based experiences, students will automatically be engaged. Evidence indicates that this is often not the case. In this article, we discuss (a) problems with ignoring motivation in the design of learning environments, (b)…
Descriptors: Student Motivation, Scaffolding (Teaching Technique), Problem Based Learning, Computer Assisted Instruction
Anderman, Lynley H.; Patrick, Helen; Ryan, Allison M. – Middle School Journal (J3), 2004
Student motivation is a cause of great concern for educators at all levels, but perhaps never more so than during the middle school years. Teachers' observations about declines in student interest and confidence in academic tasks are borne out by a number of large-scale empirical studies. In this article, the author examines how teachers create…
Descriptors: Student Interests, Interaction Process Analysis, Computer Assisted Instruction, Learner Controlled Instruction
Peer reviewedPlomp, Tjeerd; And Others – Computers and Education, 1991
Describes an evaluation of the effects of the Mathematics and Science Computer Assisted Remedial Teaching (MASCART) software on students at the University of Botswana. Treatment of experimental and control groups is explained, effects on ability groups are discussed, and increased time on task and student motivation are considered. (14 references)…
Descriptors: Ability Grouping, Computer Assisted Instruction, Computer Software Evaluation, Courseware
Savard, William G.; Cotton, Kathleen – 1983
The paper summarizes some educational research findings regarding effective schooling practices. Only those findings which have particular impact on educational program planners in the field of migrant education are discussed. These findings pertain to the following issues: class size, group size, ability grouping, parent participation in…
Descriptors: Ability Grouping, Academic Achievement, Administrator Role, Class Size
