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Jing Chen; Ruiqi Wang; Bei Fang; Chen Zuo – Interactive Learning Environments, 2024
Online learning has developed rapidly and billions of learners have participated in various courses. However, the high dropout rate is universal and learning performance is not satisfactory. Fortunately, learners have posted a large number of reviews which express their feedback opinions. The fine-grained aspects and opinions existing in reviews…
Descriptors: Online Courses, Feedback (Response), Opinions, Algorithms
Pham, Minh; Singh, Kanupriya; Jahnke, Isa – Interactive Learning Environments, 2023
Given the increasing popularity of online learning, the study of the user experience in online courses is relevant for the design of meaningful online learning. While there exist many checklists for online course evaluation, they focus on different items and lack consensus of common usability factors. Traditional usability studies focus on…
Descriptors: Online Courses, Usability, Course Evaluation, Older Adults
Nie, Yanjiao; Luo, Heng; Sun, Di – Interactive Learning Environments, 2021
The proliferation of massive open online courses (MOOCs) highlights the necessity of developing accurate and diagnostic evaluation methods to assess the courses' quality and effectiveness. Hence, this study proposes a diagnostic MOOC evaluation (DME) method that combines the Analytic Hierarchy Process algorithm and learner review mining to…
Descriptors: Online Courses, Evaluation Methods, Course Evaluation, Mathematics
Hummaira Qudsia Yousaf; Sumaira Rehman; Muneeb Ahmed; Sidra Munawar – Interactive Learning Environments, 2023
The study aims to examine the role of course evaluation and digital platforms in students' online learning and satisfaction. The target population was students from public and private educational institutes in Pakistan. Data were gathered through an e-questionnaire and 652 responses were analysed using the partial least squares structural equation…
Descriptors: Online Courses, Virtual Classrooms, Electronic Learning, Student Satisfaction
Bhagat, Kaushal Kumar; Cheng, Chia-Hui; Koneru, Indira; Fook, Fong Soon; Chang, Chun-Yen – Interactive Learning Environments, 2023
The aim of this study was to develop a scale to measure students' blended learning course experience. A total of 792 undergraduate students from Malaysia participated in this study. Exploratory factor analysis (EFA) was employed to evaluate the factor structure of the scale. As a result of EFA, three factors with 19 items that explained 68.06% of…
Descriptors: Blended Learning, Evaluation Methods, Course Evaluation, Student Attitudes
Wanxue Zhang; Lingling Meng; Bilan Liang – Interactive Learning Environments, 2023
With the continuous development of education, personalized learning has attracted great attention. How to evaluate students' learning effects has become increasingly important. In information technology courses, the traditional academic evaluation focuses on the student's learning outcomes, such as "scores" or "right/wrong,"…
Descriptors: Information Technology, Computer Science Education, High School Students, Scoring
Hrastinski, Stefan – Interactive Learning Environments, 2021
Evidence can be used to support digital course design. The aim of this paper is to discuss how teachers can develop local evidence to support digital course design. Previous research has focused on how practice can be based on research, while we have a limited understanding of how local evidence is used and produced in practice. Local evidence…
Descriptors: Instructional Design, Educational Improvement, Blended Learning, Online Courses

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