Publication Date
| In 2025 | 7 |
Descriptor
Source
| International Review of… | 7 |
Author
| Adnan Innab | 1 |
| Ahmed Al-Azawei | 1 |
| Ahmed Nahari | 1 |
| Alkadi Alshammari | 1 |
| Changqin Huang | 1 |
| Di Zou | 1 |
| Emine Cabi | 1 |
| Fu Lee Wang | 1 |
| Gary Cheng | 1 |
| Ghada Almukhaini | 1 |
| Hacer Türkoglu | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 7 |
| Reports - Research | 5 |
| Information Analyses | 2 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 3 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textEmine Cabi; Hacer Türkoglu – International Review of Research in Open and Distributed Learning, 2025
Recent advancements in educational technology have enabled teachers to use learning analytics (LA) and flipped classrooms. The present study investigated the impact of a LA-based feedback system on students' academic achievement and self-regulated learning (SRL) in a flipped learning (FL) environment. The study used a pretest-posttest control…
Descriptors: Learning Analytics, Feedback (Response), Academic Achievement, Independent Study
Hongwei Yang; Müslim Alanoglu; Songül Karabatak; Jian Su; Kelly Bradley – International Review of Research in Open and Distributed Learning, 2025
This study developed and validated the Turkish version of the Self-Directed Online Learning Scale (SDOLS-T) for assessing students' perceptions of their self-directed learning (SDL) ability in an online environment. Specifically, this study conducted in two stages multiple categorical confirmatory factor analyses factoring in the ordered…
Descriptors: Foreign Countries, Factor Analysis, Translation, Student Attitudes
Safa Ridha Albo Abdullah; Ahmed Al-Azawei – International Review of Research in Open and Distributed Learning, 2025
This systematic review sheds light on the role of ontologies in predicting achievement among online learners, in order to promote their academic success. In particular, it looks at the available literature on predicting online learners' performance through ontological machine-learning techniques and, using a systematic approach, identifies the…
Descriptors: Electronic Learning, Academic Achievement, Grade Prediction, Data Analysis
Sajida Bhanu Panwale; Selvaraj Vijayakumar – International Review of Research in Open and Distributed Learning, 2025
This study aimed to evaluate the utility of artificial intelligence (AI) in improving the persuasive communication skills of online Master of Business Administration (MBA) students. In particular, this study investigated the influence of personalization through AI using the Google Gemini platform on conventional and online instructional…
Descriptors: Distance Education, Artificial Intelligence, Computer Software, Individualized Instruction
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
Xieling Chen; Di Zou; Haoran Xie; Gary Cheng; Zongxi Li; Fu Lee Wang – International Review of Research in Open and Distributed Learning, 2025
Massive open online courses (MOOCs) offer rich opportunities to comprehend learners' learning experiences by examining their self-generated course evaluation content. This study investigated the effectiveness of fine-tuned BERT models for the automated classification of topics in online course reviews and explored the variations of these topics…
Descriptors: MOOCs, Distance Education, Online Courses, Course Evaluation
Alkadi Alshammari; Adnan Innab; Ahmed Nahari; Homoud Alanazi; Raeed Alanazi; Ghada Almukhaini – International Review of Research in Open and Distributed Learning, 2025
Nursing students faced learning losses during the COVID-19 pandemic due to the transition to virtual classes, inadequate communication, and reliance on virtual clinical training as a prerequisite for clinical practice. This study aimed to investigate the extent of learning loss experienced by nursing students and examine the impact of…
Descriptors: Achievement Gains, Nursing Students, COVID-19, Pandemics
