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Conrad Borchers; Jeroen Ooge; Cindy Peng; Vincent Aleven – Grantee Submission, 2025
Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Learner Controlled Instruction, Learning Analytics
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Wehmeyer, Michael L.; Shogren, Karrie A.; Toste, Jessica R.; Mahal, Stephanie – Intervention in School and Clinic, 2017
Promoting self-determined learning through student-directed learning strategies has been documented to promote more positive school-related outcomes for upper elementary grade learners with disabilities and other students who are struggling. These strategies are typically introduced in multicomponent interventions combining several…
Descriptors: Learning Motivation, Motivation Techniques, Learning Strategies, Learner Controlled Instruction
Spencer, John – Educational Leadership, 2017
Genius Hour is a time built into the school day or week to enable students to actively create their learning rather than passively consume it. During the time set aside for Genius Hour, students choose what they will learn about, the strategies they will use to learn it, the pace of their work, the materials and resources they will use, and the…
Descriptors: Instructional Design, Learner Controlled Instruction, Learning Strategies, Pacing
Redding, Sam – Center on Innovations in Learning, Temple University, 2014
Personal competencies--cognitive, metacognitive, motivational, and social/emotional--are applied by students in learning (mastery of knowledge and skills). These competencies are both acquired through learning and applied in the learning process. Personalized learning--a promising approach to education made practical by advances in…
Descriptors: Competence, Mastery Learning, Individualized Instruction, Learner Controlled Instruction
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Shaw, Lester H.; Conti, Gary J.; Shaw, Brenda S. – Journal of Adult Education, 2013
Since at-risk youth are in transition to adulthood, major adult learning concepts can be applied to them. The purpose of this study was to describe the learning strategies of youth in transition to adulthood in the urban life skills program of A Pocket Full of HopeĀ®. Both qualitative and quantitative data collecting methods were used. Assessing…
Descriptors: Youth Opportunities, Adult Learning, At Risk Persons, Young Adults
Milheim, William D.; Martin, Barbara L. – Journal of Computer-Based Instruction, 1991
Discusses and reviews learner control research and presents three theoretical bases to help provide a framework for past research as well as to assist in designing future studies: (1) motivation, (2) attribution, and (3) information processing. Three types of learner control are discussed in relation to the theoretical perspectives: pacing,…
Descriptors: Attribution Theory, Cognitive Processes, Learner Controlled Instruction, Learning Motivation