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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
Alan da Silveira Fleck; Tingting Zhu – Technology, Knowledge and Learning, 2024
Many college students struggle to adopt effective study strategies. Although many academic support centers disseminate resources on study strategies and help students to strengthen these skills, students do not fully utilize the resources or support. This study explored using an online asynchronous discussion (OAD) board as a space to embed five…
Descriptors: College Students, Online Courses, Asynchronous Communication, Discussion (Teaching Technique)
Hong-Thu Thi Nguyen – Interactive Learning Environments, 2024
This article investigates the impact of LMS-based integrated online assessment implementation (LbIOA) on fostering learning motivation and academic performance from tertiary students' experiences and instructors' perspectives. A total of 156 students and seven teachers from the English department at a university in Vietnam participated in the…
Descriptors: Learning Management Systems, Computer Assisted Testing, Motivation, Performance
Salome H. Maro; Aron W. Kondoro; Joel S. Mtebe; Jamie Proctor; Aneth Komba; Björn Haßler – International Review of Research in Open and Distributed Learning, 2024
In low-income countries, the use of technology to enhance teacher continuous professional development (TCPD) activities has been increasing significantly. However, most technology initiatives related to TCPD require the installation of complex information and communications technology (ICT) infrastructure in schools or availability of reliable…
Descriptors: Foreign Countries, Faculty Development, Educational Technology, Developing Nations
Md Akib Zabed Khan; Agoritsa Polyzou – Journal of Educational Data Mining, 2024
In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…
Descriptors: Academic Advising, Courses, Data Use, Artificial Intelligence
Akhmad Asyari – Pegem Journal of Education and Instruction, 2024
The current research seeks to analyze university students' perceptions and attitudes of LMS-based learning. This research is a descriptive study with 607 students of State Islamic University of Mataram as the research subjects. Subjects are randomly selected from all students who used LMS as a learning medium. A 36-item questionnaire was…
Descriptors: Student Attitudes, Learning Management Systems, Educational Technology, College Students
Rusman; Rusman O. Setiasih; Nandi; Wawan Setiawardani; Eri Yusron – Pegem Journal of Education and Instruction, 2024
This study aims to identify factors that can influence students when using the learning management system (LMS) in learning educational pedagogy. The LMS that we mean in this study is Pedagogi.id Platform. The design model in the study uses the UTAUT model. Questionnaires with five UTAUT variables, namely performance expectancy, effort expectancy,…
Descriptors: Learning Management Systems, Technology Integration, Educational Technology, Expectation
Yuanyuan Yang; Rwitajit Majumdar; Huiyong Li; Brendan Flanagan; Hiroaki Ogata – Interactive Learning Environments, 2024
Self-directed learning (SDL) requires students to take initiative to learn and control their own learning process. Literature highlights the importance of SDL for lifelong learning. Yet, little understanding is known regarding how to support SDL at the school level, specifically for out-of-class learning context. To fill up this gap, this research…
Descriptors: Learning Analytics, Independent Study, Learning Processes, Reading Habits

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