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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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Carolien A. N. Knoop-van Campen; Joep van der Graaf; Anne Horvers; Rianne Kooi; Rick Dijkstra; Inge Molenaar – Journal of Computer Assisted Learning, 2024
Background: Even though monitoring and control enactment are key aspects of self-regulated learning (SRL), Adaptive learning technologies (ALTs) may reduce the need for learners to monitor and control their learning. Personalized dashboards are effective in supporting learners' monitoring and can potentially support control behaviour. Allowing…
Descriptors: Elementary School Students, Grade 5, Educational Technology, Technology Uses in Education
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Hummel, Hans G. K.; Nadolski, Rob J.; Eshuis, Jannes; Slootmaker, Aad; Storm, Jeroen – British Journal of Educational Technology, 2021
Introductory Psychology courses in Higher Education lack application of knowledge in solving work-based problems. We develop and study mini-games that support a more active and experiential way of learning to increase professional awareness. This paper describes the instructional design and the factors under study: learner control and…
Descriptors: Educational Games, Game Based Learning, Introductory Courses, Psychology
Parker, Frieda; Novak, Jodie; Bartell, Tonya – Phi Delta Kappan, 2017
Providing students with choice can be a powerful means of supporting student engagement. However, not all choice opportunities lead to improved student engagement. Teachers can increase the likelihood that students will value choice by analyzing how students associate feelings of autonomy, competence, and relatedness with the choice provided them.…
Descriptors: Learner Engagement, Decision Making, Learner Controlled Instruction, Personal Autonomy
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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
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du Toit-Brits, Charlene; van Zyl, Chris-Mari – Africa Education Review, 2017
Due to the speedy emergent investigation in self-directed learning (SDL) over the past 40 years, SDL is an education technique used progressively within tertiary institutions. SDL can be well-defined in terms of the amount of accountability the student accepts for his or her own learning. The self-directed students regarding learning take control…
Descriptors: Independent Study, Student Characteristics, Learner Controlled Instruction, Self Determination