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Choi, Beomkyu – International Journal of Technology in Education, 2023
Examining how people learn in various learning environments is at the core of the science of learning. The more we understand how students learn from different dimensions and aspects, the better equipped we are to support their learning. This study aims to expand our understanding of how learning occurs within the context of an asynchronous online…
Descriptors: Student Participation, Student Satisfaction, Academic Achievement, Asynchronous Communication
Kataoka, Yuka; Thamrin, Achmad Husni; Van Meter, Rodney; Murai, Jun; Kataoka, Kotaro – Education and Information Technologies, 2023
In second or foreign language (SFL) education, oral corrective feedback (OCF) is widely used to individually correct students' erroneous utterances during classroom hours. However, students cannot have sufficient opportunities for oral production and personalized feedback during classroom hours if a class is large-scale with many students. This…
Descriptors: Computer Mediated Communication, Feedback (Response), Learning Management Systems, Japanese
Yang, Christopher C. Y.; Ogata, Hiroaki – Education and Information Technologies, 2023
Language learners' engagement with a specific task is crucial to improving their academic achievement. To enhance student engagement and academic achievement in language learning, personalized language learning (PLL) can be employed to consider individual learning needs. Personalized review learning has emerged to facilitate PLL as a promising…
Descriptors: Individualized Instruction, Second Language Learning, Academic Achievement, Electronic Publishing
Snekha, S.; Ayyanathan, N. – Shanlax International Journal of Education, 2023
An educational customer relationship management (CRM) Chatbot is a learner support service automation tool that enhances the human computer interaction and user experience in higher education institutions through effective online conversation and information exchange. The machine with embedded knowledge is trained to identify the sentences and…
Descriptors: Computer Software, Learning Management Systems, Educational Technology, Man Machine Systems
Imhof, Christof; Comsa, Ioan-Sorin; Hlosta, Martin; Parsaeifard, Behnam; Moser, Ivan; Bergamin, Per – IEEE Transactions on Learning Technologies, 2023
Procrastination, the irrational delay of tasks, is a common occurrence in online learning. Potential negative consequences include a higher risk of drop-outs, increased stress, and reduced mood. Due to the rise of learning management systems (LMS) and learning analytics (LA), indicators of such behavior can be detected, enabling predictions of…
Descriptors: Prediction, Time Management, Electronic Learning, Artificial Intelligence
Hallmon, Augustus W. – Schole: A Journal of Leisure Studies and Recreation Education, 2023
The challenges of teaching during the COVID-19 pandemic were multiple and accompanied by dramatic changes in the experiences of students, faculty, and administration. However, this year also offered us an opportunity to be creative and generate new ideas to solve problems we knew about but often did not have enough of a reason to make significant…
Descriptors: Student Evaluation, Equal Education, COVID-19, Pandemics
S. C. Spangler; Kamy K. Shah; Wayne E. Lockwood – Information Systems Education Journal, 2023
The pilot study reflects perceptions from higher education students in an experimental new online teaching program at a mid-sized Southeastern United States University. The research focused on the effectiveness of an embedded tutoring pilot program in online and hybrid learning management systems (LMS). The research was focused on information…
Descriptors: Tutoring, Pilot Projects, Electronic Learning, Learning Management Systems
Duan, Lian; Song, Hongbo; Huang, Xiaoshan; Lin, Weihan; Jiang, Yan; Wang, Xingheng; Wu, Yihua – Information and Learning Sciences, 2023
Purpose: The study examined the impact of feedback types through a learning management system (LMS) on employees' training performance. The purpose of this study is to establish effective feedback on advanced technologies for promoting corporate training. Design/methodology/approach: A total of 148 trainees were recruited from a multinational…
Descriptors: Feedback (Response), Employees, Goal Orientation, Online Courses
Janna Doris Maxwell – ProQuest LLC, 2023
COVID-19 changed the course of education. There had to be a way to adequately provide educational services to students in a safe and effective manner. Most school districts chose blended learning, to be referred to in this study as BL, as the best solution. This qualitative study was framed Siemens and Downes' learning theory of connectivism…
Descriptors: Teacher Attitudes, High School Teachers, Program Effectiveness, Learning Management Systems
Kamolchart Klomim; Boonsong Kuayngern – Journal of Education and Learning, 2023
This research piece has the following goals: (1) to create a curriculum for creating a competency-based learning management system based on the economically motivated approach (BCG Model) by utilizing the proactive learning management concept for students practice teaching professional experience, (2) to assess the success of the curriculum in…
Descriptors: College Freshmen, Student Teaching, Competency Based Teacher Education, Curriculum Design
Rachel Gurvitch; Gi-Cheol Kim – International Journal of Kinesiology in Higher Education, 2023
The quality of interaction is an essential factor leading to learner satisfaction, academic achievement, learner engagement, and a positive attitude toward distance education. The purpose of this study is to examine different types of interactions within online kinesiology courses. Adopting a multiple case study design with a mixed-methods…
Descriptors: Kinesiology, Online Courses, Learning Experience, Distance Education
Shard; Devesh Kumar; Sapna Koul – International Journal of Information and Learning Technology, 2024
Purpose: This study aims to gain insights into how students perceive online examination practices and evaluation, as well as identify the key factors that impact their intentions toward online exams. Design/methodology/approach: This empirical study conducted in India utilized an online survey method between May 24 and June 14, 2022. The data were…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Student Attitudes
Nataliya Hristova Pavlova – International Electronic Journal of Mathematics Education, 2024
This article presents a case study and ideas to flip classical dialogic learning method. Some possibilities of using ChatGPT to stimulate the active role of the student in the dialogic teaching method are shown. Data from observations of students training to be teachers of mathematics and informatics in their work with artificial intelligence (AI)…
Descriptors: Teaching Methods, Mathematics Instruction, Artificial Intelligence, Case Studies
Wonjin Yu; Wanju Huang – TechTrends: Linking Research and Practice to Improve Learning, 2024
This study introduces a case of developing and piloting a tailored education program on AI education for beginner-level learners using machine learning platforms such as Google Teachable Machine and Scratch. The program was piloted with 27 elementary school students. Learning effects and satisfaction were examined during the pilot phase. The…
Descriptors: Artificial Intelligence, Program Development, Educational Technology, Learning Management Systems
Lan Ma; Saeed Pahlevan Sharif; Kok Wei Khong – Journal of Marketing for Higher Education, 2024
Despite a surge of empirical work on paid Massive Open Online Courses (MOOCs), a review of factors that drive the sales of them remains unexplored. The study aims to consolidate the existing fragmented knowledge by synthesizing the current literature on quality attributes, methodological approaches, theoretical foundations, and additional research…
Descriptors: Purchasing, Decision Making, MOOCs, Databases