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Crook, Charles – International Journal of Computer-Supported Collaborative Learning, 2022
This article discusses the integration of three concepts central to the enterprise of computer-supported collaborative learning: namely, collaboration scripts, self-regulation, and group awareness. It does so through consideration of five reports in this Special Issue that address the integration challenge. Various themes are extracted and…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Perception, Metacognition
Yingying Pan; Hoisoo Kim; Yipin Huang; Gwo-Jen Hwang; Yun-Fang Tu – Education and Information Technologies, 2025
Supporting students with effective and sustainable self-regulated learning in mobile technology-enhanced learning environments has become increasingly crucial. This study investigated the effects of metacognitive scaffolding (MS) and inner speech on students' metacognition and self-regulatory efficacy in mobile technology-enhanced interactive…
Descriptors: Metacognition, Self Control, Self Efficacy, Scaffolding (Teaching Technique)
Ortega-Ruipérez, Beatriz; Castellanos-Sánchez, Almudena – South African Journal of Education, 2023
Self-regulated learning strategies are essential for learning, and to teach learners to use them, teachers must master them. The objective of this study was to identify training priorities for including these strategies in online courses for teachers, and to determine whether opinion influences the use of strategies. The design was…
Descriptors: Guidelines, Faculty Development, Metacognition, Instructional Design
Chen, Li; Lu, Min; Goda, Yoshiko; Shimada, Atsushi; Yamada, Masanori – International Association for Development of the Information Society, 2020
In this study, we used a learning analytics dashboard (LAD) in a higher education course to support students' metacognition and evaluated the effects of its use. The LAD displays students' reading path and specific behaviors when viewing digital learning materials. The study was conducted on 53 university students to identify the factors that…
Descriptors: College Students, Learning Analytics, Metacognition, Educational Technology
Gao, Chuan; Shen, Hui-zhong – ReCALL, 2021
This article reports on findings regarding the learning strategies used by a group of Chinese English as a foreign language (EFL) learners in a mobile-technology-assisted environment. The research design is a context-specific case study using Dörnyei's (2005) categories of learning strategies as the conceptual and analytical framework to guide…
Descriptors: English (Second Language), Learning Strategies, Telecommunications, Handheld Devices
Burner, Kerry J. – Technology, Instruction, Cognition and Learning, 2019
The study investigated the effect writing prompts designed to elicit reflective and reflexive thinking could have on participants' self-regulated learning strategies and academic performance. The reflection prompts asked the students to think about the way they were working for the class they were enrolled in and to identify important elements…
Descriptors: Journal Writing, Student Journals, Self Control, Academic Achievement
Marzouk, Zahia; Rakovic, Mladen; Liaqat, Amna; Vytasek, Jovita; Samadi, Donya; Stewart-Alonso, Jason; Ram, Ilana; Woloshen, Sonya; Winne, Philip H.; Nesbit, John C. – Australasian Journal of Educational Technology, 2016
Learning analytics are often formatted as visualisations developed from traced data collected as students study in online learning environments. Optimal analytics inform and motivate students' decisions about adaptations that improve their learning. We observe that designs for learning often neglect theories and empirical findings in learning…
Descriptors: Science Education, Science Instruction, Data Collection, Cooperation
Steven Dang; Michael Yudelson; Kenneth R. Koedinger – Grantee Submission, 2017
The current study introduces a model for measuring student diligence using online behaviors during intelligent tutoring system use. This model is validated using a full academic year dataset to test its predictive validity against long-term academic outcomes including end-of-year grades and total work completed by the end of the year. The model is…
Descriptors: Student Behavior, Intelligent Tutoring Systems, Educational Technology, Academic Achievement
Luca Andrea Ludovico; Giuseppina Rita Mangione – Interactive Technology and Smart Education, 2014
Purpose: The purpose of this work is to analyze the concept of self-regulated learning and applying it to a web-based interface for music teaching. Design/methodology/approach: This work starts from a systematic review about music education and self-regulation during learning processes. Then, the paper identifies those meta-cognitive strategies…
Descriptors: Electronic Books, Music Education, Self Management, Metacognition
Chen, Cheng-Huan; Chiu, Chiung-Hui – International Journal of Science and Mathematics Education, 2016
This study designed a set of computerized collaboration scripts for multi-touch supported collaborative design-based learning and evaluated its effects on multiple aspects of metacognitive self-regulation in terms of planning and controlling and mathematical literacy achievement at higher and lower levels. The computerized scripts provided a…
Descriptors: Metacognition, Design, Self Control, Planning
Ludovico, Luca Andrea; Mangione, Giuseppina Rita – International Association for Development of the Information Society, 2014
This work starts from a systematic review about music education and self-regulation during learning processes. Then the paper identifies those meta-cognitive strategies that music students should adopt during their instrumental practice. The goal is applying such concepts in order to rethink the structure of a didactic e-book for instrumental…
Descriptors: Self Management, Competence, Music Education, Learning Processes
Kim, ChanMin; Park, Seung Won; Cozart, Joe; Lee, Hyewon – Educational Technology & Society, 2015
Engagement and motivation are not one and the same, but motivation can be transformed into engagement with proper design of support. In this study, we examined the differences between high performers and low performers with regard to changes in their motivation, regulation, and engagement throughout the semester. Participants were 100 students…
Descriptors: Learner Engagement, Student Motivation, Virtual Classrooms, Online Courses
Perry, David R.; Steck, Andy K. – Computers in the Schools, 2015
Teachers are increasingly integrating mobile digital technology into the classroom. The purpose of this study was to assess the effect of incorporating iPads in a secondary-level geometry course on academic achievement, student engagement, self-efficacy, and meta-cognitive self-regulation. Students in the iPad-using classroom experienced lower…
Descriptors: Educational Technology, Technology Uses in Education, Handheld Devices, Self Efficacy
Kramarski, Bracha; Michalsky, Tova – Educational Research and Evaluation, 2009
Our study investigated 3 metacognitive approaches provided during different phases of learning technological pedagogical content knowledge (TPCK) in a Web-based learning environment. These metacognitive approaches were based on self-question prompts (Kramarski & Mevarech, 2003) which appeared in pop-up screens and fostered the Self-Regulated…
Descriptors: Pedagogical Content Knowledge, Teaching Methods, Educational Technology, Preservice Teachers
Moreno, Roxana – Educational Research and Evaluation, 2009
Student teachers learned about teaching principles with the help of an instructional program that included classroom animation exemplars, where expert teachers demonstrate how to apply teaching principles to a classroom scenario. Some students learned by solely observing the classroom animations, whereas others were presented with the expert's…
Descriptors: Cognitive Processes, Memory, Self Control, Student Teachers
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