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Showing 1 to 15 of 37 results Save | Export
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Liu, Sannyuya; Kang, Lingyun; Liu, Zhi; Fang, Jing; Yang, Zongkai; Sun, Jianwen; Wang, Meiyi; Hu, Mengwei – Interactive Learning Environments, 2023
Computer-supported collaborative concept mapping (CSCCM) integrates technology and concept mapping to support students' knowledge understanding, and much research on the behavioral patterns involved in CSCCM activities has been conducted. However, there is limited understanding of the differences in knowledge understanding and behavioral patterns…
Descriptors: Computer Assisted Instruction, Concept Mapping, Student Attitudes, College Students
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Caleb Or – International Journal of Technology in Education and Science, 2023
The Unified Theory of Acceptance and Use of Technology (UTAUT) model has been widely used to explain user intention and use behavior. Past research has added attitude to the UTAUT framework to examine further how it influences technology adoption. This study utilized a combined meta-analysis and structural equation modelling [approach] to examine…
Descriptors: Meta Analysis, Technology Uses in Education, Technology Integration, Teaching Methods
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Wen-Lung Huang; Liang-Yi Li; Jyh-Chong Liang – Educational Technology & Society, 2024
The purposes of this study were to explore students' learning performance, knowledge construction, and behavioral patterns in computer-supported collaborative learning (CSCL) online discussions with/without using Form+Theme+Context (FTC) model guidance scaffolding in visual imagery education. In the online learning activities, the control group…
Descriptors: Asynchronous Communication, Online Courses, Behavior Patterns, Discussion (Teaching Technique)
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Sahin, Muhittin; Ifenthaler, Dirk – International Association for Development of the Information Society, 2022
Within digitally-supported learning environments, learners need to observe themselves so that they can reflect on their strengths and weaknesses and take a step toward autonomous learning. Within the scope of this research, a technology and analytics enhanced assessment environment in which students can assess themselves was implemented and…
Descriptors: Foreign Countries, College Students, Behavior Patterns, Learning Processes
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Li, Yuhao; Chang, Mengyi; Zhao, Hanxuan; Jiang, Caihong; Xu, Sihua – Journal of Computer Assisted Learning, 2023
Background: Mobile devices facilitate learning activities in a self-paced way. However, the current understanding of learning participation and its consequence are minimal when learners take advantage of opportunities provided by mobile technologies worldwide. Aims: The primary purpose of this study is to examine the effectiveness of environmental…
Descriptors: Anxiety, Computer Software, Computer Assisted Instruction, Learning Processes
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Cukurova, Mutlu; Khan-Galaria, Madiha; Millán, Eva; Luckin, Rose – Journal of Learning Analytics, 2022
One-to-one online tutoring provided by human tutors can improve students' learning outcomes. However, monitoring the quality of such tutoring is a significant challenge. In this paper, we propose a learning analytics approach to monitoring online one-to-one tutoring quality. The approach analyzes teacher behaviours and classifies tutoring sessions…
Descriptors: Learning Analytics, Tutoring, Educational Quality, Behavior Patterns
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Bao, Haogang; Li, Yanyan; Su, You; Xing, Shuang; Chen, Nian-Shing; Rosé, Carolyn Penstein – Technology, Pedagogy and Education, 2021
The learning analytics dashboard (LAD) has been recognised as a useful tool to facilitate teachers' diagnosis and intervention in collaborative learning. However, little empirical evidence has been reported concerning the effects of LAD on teachers in computer-supported collaborative learning (CSCL). The purpose of this study was to evaluate the…
Descriptors: Learning Analytics, Visual Aids, Computer Interfaces, Educational Diagnosis
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Wu, Linjing; Li, Jing; Liu, Qingtang; He, Liming; Yang, Weiqing; Zhang, Yaosheng; Cheng, Yun – Journal of Educational Computing Research, 2021
The measurement of knowledge contribution in collaborative knowledge building is an important research topic in computer-supported collaborative learning. The information measures of knowledge contribution based on information theory are proposed in this study, which includes two measures: amount of information and information gain. Discourse data…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Information Theory, Measurement
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Godwin-Jones, Robert – Language Learning & Technology, 2021
Data collection and analysis is nothing new in computer-assisted language learning, but with the phenomenon of massive sets of human language collected into corpora, and especially integrated into systems driven by artificial intelligence, new opportunities have arisen for language teaching and learning. We are now seeing powerful artificial…
Descriptors: Data Collection, Academic Achievement, Learning Analytics, Computer Assisted Instruction
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Knoop-van Campen, Carolien; Molenaar, Inge – Frontline Learning Research, 2020
In technology empowered classrooms teachers receive real-time data about students' performance and progress on teacher dashboards. Dashboards have the potential to enhance teachers' feedback practices and complement human-prompted feedback that is initiated by teachers themselves or students asking questions. However, such enhancement requires…
Descriptors: Feedback (Response), Technology Integration, Teacher Student Relationship, Behavior Patterns
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Pham, Xuan Lam; Nguyen, Thi Huyen; Chen, Gwo Dong – Journal of Educational Computing Research, 2018
In this study, we analyzed usages behaviors of 53,825 active users from 12 countries in a mobile app called "English Practice." The data indicated that the app was used most often in the evening from 8 p.m. to 9 p.m., and especially midweek, with less use at weekends and on Mondays. Learners used the app for about 5 minutes each session…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
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Tan, Chia-Chen; Chen, Chih-Ming; Lee, Hahn-Ming – Computer Assisted Language Learning, 2020
A number of prominent educators have confirmed that developing learners' metacognitive strategies about listening is an important way of helping them learn how to listen to improve their listening. With the rapid development of information and communication technologies, many listening training systems provide various types of help options in…
Descriptors: Metacognition, Teaching Methods, Learning Strategies, Listening Skills
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Kinnebrew, John S.; Segedy, James R.; Biswas, Gautam – Metacognition and Learning, 2014
Metacognition and self-regulation are important for developing effective learning in the classroom and beyond, but novice learners often lack effective metacognitive and self-regulatory skills. However, researchers have demonstrated that metacognitive processes can be developed through practice and appropriate scaffolding. Betty's Brain, an…
Descriptors: Metacognition, Student Behavior, Scaffolding (Teaching Technique), Skill Development
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Montero Perez, Maribel; Peters, Elke; Desmet, Piet – Computer Assisted Language Learning, 2018
While most studies on L2 vocabulary learning through input have addressed learners' vocabulary uptake from written text, this study focuses on audio-visual input. In particular, we investigate the effects of enhancing video by (1) adding different types of L2 subtitling (i.e. no captioning, full captioning, keyword captioning, and glossed keyword…
Descriptors: Second Language Learning, Second Language Instruction, Vocabulary Development, Linguistic Input
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Liu, Ming; Pardo, Abelardo; Liu, Li – International Journal of Distance Education Technologies, 2017
Online collaborative writing tools provide an efficient way to complete a writing task. However, existing tools only focus on technological affordances and ignore the importance of social affordances in a collaborative learning environment. This article describes a learning analytic system that analyzes writing behaviors, and creates…
Descriptors: Collaborative Writing, Learner Engagement, Student Attitudes, Visualization
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