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Janet Kesterson Isbell – Journal of Open, Flexible and Distance Learning, 2024
Research has demonstrated the need to prepare higher education faculty for transitioning from in-person to online modality. Researchers note the need to train faculty in course design, building classroom community, and establishing a teaching presence, among other things. This paper describes a professor's participation in a university-funded…
Descriptors: College Faculty, Electronic Learning, Faculty Development, Instructional Design
Yaxin Tu; Qiyun Wang; Changqin Huang – International Review of Research in Open and Distributed Learning, 2025
Learners' emotional engagement in synchronous online learning (SOL) is critical for improving learning persistence and performance. Nevertheless, there is currently a lack of comprehensive and systematic reviews of emotional engagement in SOL. This review synthesizes the strategies to promote emotional engagement in SOL found in published…
Descriptors: Student Participation, Psychological Patterns, Synchronous Communication, Electronic Learning
Yanhong Zuo; Fangzhi He – TESOL Quarterly: A Journal for Teachers of English to Speakers of Other Languages and of Standard English as a Second Dialect, 2024
Digital multimodal composing (DMC) has been receiving increasing attention in the research on English as an additional language (EAL) instruction in higher education. While this approach responds to students' changing writing practices in the digital world, it can create tension with mandated curricula and high-stakes testing regimes that…
Descriptors: Foreign Countries, Teaching Methods, Literacy Education, Higher Education
Alwafi, Enas Mohammad – Educational Technology Research and Development, 2023
This study investigated the impact of designing an online learning environment based on cognitive apprenticeship on students' critical thinking and interaction in CSCL. The one group pretest-posttest quasi-experimental design was used in this study. A questionnaire was used to measure students' critical thinking and social network analysis (SNA)…
Descriptors: Computer Assisted Instruction, Cooperative Learning, Instructional Design, Electronic Learning
Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Abrahamson, Dor; Abdu, Rotem – Educational Technology Research and Development, 2021
Designers of educational modules for conceptual learning often rely on procedural frameworks to chart out interaction mechanics through which users will develop target understandings. To date, however, there has been no systematic comparative evaluation of such frameworks in terms of their consequences for learning. This lack of empirical…
Descriptors: Educational Technology, Mathematics Instruction, Computer Assisted Instruction, Geometry
Recommendations for Designing Collaborative Activities in Online Higher Education: Systematic Review
Elisabeth Ransanz Reyes; Ainhoa Arana-Cuenca; Ana Isabel Manzanal Martínez – Journal of Technology and Science Education, 2025
Online learning, especially in higher education, has grown in recent years and the study of its didactic implications has also increased. Online experiences have been found to be as successful as face-to-face ones, but there is a concern about a lack of social interaction among students. This makes it necessary for teachers to plan collaborative…
Descriptors: Curriculum Design, Online Courses, Higher Education, Cooperative Learning
Xueye Yan; Peng Peng; Yuting Liu – Grantee Submission, 2024
Mayer (2017, 2020) proposed three major design features of computer-assisted instructions (CAI) within the Cognitive Theory of Multimedia Learning: reducing extraneous processing (i.e., excluding irrelevant content), managing essential processing (i.e., focusing on the complex but essential learning materials), and fostering generative processing…
Descriptors: Computer Assisted Instruction, Reading Instruction, Instructional Design, Reading Difficulties
Madina Moldagali; Zeinep Osmanova; Tanat Nurgaziyev – Journal of Social Studies Education Research, 2024
The purpose of this meta-analytic study is to evaluate the effects of innovative approaches and practices in teaching poetry on academic performance, including reading, writing, and understanding. A total of 574 studies were initially identified using relevant keywords from the Web of Science, Taylor & Francis, Science Direct, Scopus, and ERIC…
Descriptors: Poetry, Writing Skills, Reading Skills, Reading Comprehension
Kerneža, Maja – International Baltic Symposium on Science and Technology Education, 2023
With the rapid advancement of technology, education is undergoing a transformational change. Chatbots have become increasingly popular in recent years and are being utilized as teaching assistants to support teachers and students in various ways. However, little research has been done on the skills required by teachers to prepare curriculum…
Descriptors: Thinking Skills, Educational Technology, Computer Mediated Communication, Artificial Intelligence
Zhang, Shunan; Shan, Cheng; Lee, John Sie Yuen; Che, ShaoPeng; Kim, Jang Hyun – Education and Information Technologies, 2023
Chatbots have shown great potential for language learning. However, previous studies have reported mixed results on the efficiency of chatbot-assisted language learning (CALL). This study integrated the results of previous experimental studies on CALL by using meta-analysis to explore its effectiveness. A total of 61 samples from 18 studies were…
Descriptors: Meta Analysis, Computer Assisted Instruction, Artificial Intelligence, Outcomes of Education
Chen, Wenli; Tan, Jesmine S. H.; Pi, Zhongling – International Journal of Computer-Supported Collaborative Learning, 2021
While there are many studies on students' collaborative learning at the small group level, pedagogies and strategies for supporting students' collaborative learning at the class level are underexplored. This study proposes a pedagogical model named the Spiral Model of Collaborative Knowledge Improvement (SMCKI) to inform the design and…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Technological Literacy, Pedagogical Content Knowledge
Jia, Shijiao; Bava Harji, Madhubala – Education and Information Technologies, 2023
This paper presents a scientometric analysis of task-based teaching and learning using CiteSpace based on the research literature retrieved from the Web of Science core collection between 2013 and 2022. CiteSpace is employed to analyze the data, as it minimizes subjectiveness and increases credibility. A total of 1799 bibliographic records related…
Descriptors: Educational Research, Teaching Methods, Task Analysis, Language Acquisition
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Huriye Yavuzkan; Tugba Yelken; Figen Kilic – Journal on School Educational Technology, 2024
This study aimed to investigate the effect of instruction designed according to the ARCS model enriched with Web 2.0 tools on the mathematics achievement and motivation of secondary school students and to examine student opinions regarding the applied instruction process. A mixed-methods approach was employed in the study since both quantitative…
Descriptors: Student Motivation, Mathematics Achievement, Web 2.0 Technologies, Instructional Design