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Kittel, Anne Frieda Doris; Seufert, Tina – Journal of Computer Assisted Learning, 2023
Background: Most workplace learning is informal. However, some employees struggle to execute informal learning strategies effectively because they lack the necessary knowledge or skills or use their knowledge and skills ineffectively or not at all. Objectives: We examined the effects of computer-based micro-learning interventions that provide…
Descriptors: Informal Education, Learning Strategies, Workplace Learning, Job Skills
Kirk 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
Jenny Yun-Chen Chan; Erin R. Ottmar; Ji-Eun Lee – Grantee Submission, 2022
We examined the influences of pre-solving pause time, algebraic knowledge, mathematics self-efficacy, and mathematics anxiety on middle-schoolers' strategy efficiency in an algebra learning game. We measured strategy efficiency using (a) the number of steps taken to complete a problem; (b) the proportion of problems completed on the initial…
Descriptors: Problem Solving, Algebra, Self Efficacy, Mathematics Anxiety
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Makela, Marnie L.; Pei, Jacqueline R.; Kerns, Kimberly A.; MacSween, Jennifer V.; Kapasi, Aamena; Rasmussen, Carmen – Journal of Special Education, 2019
Metacognitive training is an emerging cognitive intervention for children with fetal alcohol spectrum disorder (FASD) that teaches children to think about their thinking and use strategies to improve learning and regulation. We investigated how children with FASD acquired metacognitive strategies during a computerized intervention delivered in a…
Descriptors: Fetal Alcohol Syndrome, Metacognition, Learning Strategies, Intervention
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Lin, Shu-Yuan; Xie, Ying – Journal of Computing in Higher Education, 2019
Student-generated tagclouds provided an intuitive overview of a group of learners' collective knowledge. Although such tagclouds may have the potential to be used as effective learning tools, it has not been clear how students use this tool for knowledge construction. In this paper, we report a two-stage study that investigated college students'…
Descriptors: Computer Software, College Students, Concept Mapping, Intervention
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Zheng, Lanqin; Zhong, Lu; Niu, Jiayu; Long, Miaolang; Zhao, Jiayi – Educational Technology & Society, 2021
In recent years, the rapid development of artificial intelligence has increased the power of personalized learning. This study aimed to provide personalized intervention for each group participating in computer-supported collaborative learning. The personalized intervention adopted a deep neural network model, Bidirectional Encoder Representations…
Descriptors: Instructional Effectiveness, Individualized Instruction, Computer Assisted Instruction, Cooperative Learning
Mrazek, Alissa J.; Mrazek, Michael D.; Cherolini, Casey M.; Cloughesy, Jonathan N.; Cynman, David J.; Schooler, Jonathan W. – Grantee Submission, 2019
Digital mindfulness-based interventions (d-MBIs) present a promising path for the scalable dissemination of mindfulness instruction in the 21st century. Smartphone applications and web-based platforms can offer potential advantages over traditional face-to-face formats through enhanced accessibility, standardization, personalization, and efficacy…
Descriptors: Futures (of Society), Metacognition, Barriers, Stress Variables
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Fung, Chak Him; Poon, Kin Keung – International Journal of Mathematical Education in Science and Technology, 2021
This study consisted of two stages. In stage A, 38 students were divided randomly into an experimental and a control group. The experimental group received lectures assisted by dynamic geometry software (DGS) and the control group received lectures using chalk and blackboard. The effects of DGS on metacognition and its components were…
Descriptors: Metacognition, Learning Activities, Teaching Methods, Comparative Analysis
Shanley, Lina; Strand Cary, Mari; Turtura, Jessica; Clarke, Ben; Sutherland, Marah; Pilger, Marissa – Journal of Special Education Technology, 2020
Students who demonstrate mathematics difficulties (MDs) in the early grades are at risk of poor educational outcomes. Fortunately, strategic early mathematics intervention programs can improve academic outcomes for students with MDs, and instructional technology has demonstrated promise in delivering targeted and individualized mathematics…
Descriptors: Mathematics Instruction, Learning Problems, Teaching Methods, At Risk Students
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Bai, Barry; Wang, Jing; Zhou, Huixuan – Computer Assisted Language Learning, 2022
The present study reports on the effects of a self-regulated (SRL) writing strategy-based intervention supported with e-learning tools on SRL strategy use in English writing with 468 Hong Kong primary school students. The changes to the students' motivation in English writing, and their e-learning acceptance were also measured. The study adopted a…
Descriptors: Metacognition, Writing Instruction, Elementary School Students, Intervention
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Shanley, Lina; Strand Cary, Mari; Turtura, Jessica; Clarke, Ben; Sutherland, Marah; Pilger, Marissa – Grantee Submission, 2019
Students who demonstrate mathematics difficulties in the early grades are at risk for poor educational outcomes. Fortunately, strategic early mathematics intervention programs can improve academic outcomes for students with mathematics difficulties, and instructional technology has demonstrated promise in delivering targeted and individualized…
Descriptors: Mathematics Instruction, Learning Problems, Teaching Methods, At Risk Students
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Serrano, M.-Á.; Vidal-Abarca, E.; Ferrer, A. – Journal of Computer Assisted Learning, 2018
The use of documents to perform tasks is a continuous task demand in the current knowledge-based society that involves making a series of decisions to self-regulate the use of text information. Low-skilled comprehenders have serious problems monitoring and self-regulating their decisions in these task-oriented reading situations, which has a…
Descriptors: Metacognition, Teaching Methods, Learning Strategies, Intelligent Tutoring Systems
Ariel, Robert; Karpicke, Jeffrey D. – Grantee Submission, 2018
Repeated retrieval practice is a powerful learning tool for promoting long-term retention, but students use this tool ineffectively when regulating their learning. The current experiments evaluated the efficacy of a minimal intervention aimed at improving students' self-regulated use of repeated retrieval practice. Across 2 experiments, students…
Descriptors: Self Management, Recall (Psychology), Retention (Psychology), Intervention
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Panadero, Ernesto; Klug, Julia; Järvelä, Sanna – Scandinavian Journal of Educational Research, 2016
Measurement is a central issue for the self-regulated learning (SRL) field as SRL is a phenomenon difficult to measure in a reliable and valid way. Here, 3 waves in the history of SRL measurement are identified and profiled. Our focus lies on the third and newest one, which combines measurement and intervention within the same tools. The basis for…
Descriptors: Measurement Techniques, Metacognition, Intervention, Guidelines
Soydan, Deniz – ProQuest LLC, 2018
Technological developments in the workplace in the United States have led to a demand for highly skilled laborers in the workforce. Hence, adult students return to college to earn four-year college degrees or obtain certifications in order to meet the demand for highly skilled positions. Thus, colleges and universities must find learning models…
Descriptors: Intervention, Metacognition, Skilled Workers, Labor Force Development
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