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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
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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
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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
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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
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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