Publication Date
In 2025 | 1 |
Since 2024 | 3 |
Descriptor
Research Methodology | 3 |
Systems Approach | 3 |
Cooperation | 2 |
Educational Research | 2 |
Models | 2 |
Barriers | 1 |
Case Studies | 1 |
Competence | 1 |
Computation | 1 |
Creativity | 1 |
Electronic Learning | 1 |
More ▼ |
Author
Andrea Ramírez-Salgado | 1 |
Bowen Wang | 1 |
Christine Wusylko | 1 |
Craig Robinson | 1 |
Eric Wright | 1 |
Jennifer Moses | 1 |
Jie Lu | 1 |
Jill E. Stefaniak | 1 |
Jin Joy Mao | 1 |
Lauren Weisberg | 1 |
Lisa A. Giacumo | 1 |
More ▼ |
Publication Type
Journal Articles | 3 |
Reports - Research | 2 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Europe | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Jill E. Stefaniak; Lisa A. Giacumo; Jin Joy Mao; Tutaleni I. Asino – Journal of Computing in Higher Education, 2025
This paper examines the value of embedding a systems-thinking lens in higher education research. A systems approach enables institutions to move beyond isolated interventions to explore the broader relationships and structures influencing learning and development by addressing the interconnected dimensions of people, processes, and technology. The…
Descriptors: Systems Approach, Higher Education, Educational Research, Man Machine Systems
Olivier Fuchs; Craig Robinson – Qualitative Research Journal, 2024
Purpose: Critical realism is an increasingly popular "lens" through which complex events, entities and phenomena can be studied. Yet detailed operationalisations of critical realism are at present relatively scarce. This study's objective here is built on existing debates by developing an open systems model of reality, a basis for…
Descriptors: Realism, Qualitative Research, Research Methodology, Research Problems
Seyedahmad Rahimi; Russell Almond; Andrea Ramírez-Salgado; Christine Wusylko; Lauren Weisberg; Yukyeong Song; Jie Lu; Ted Myers; Bowen Wang; Xiaomaon Wang; Marc Francois; Jennifer Moses; Eric Wright – Journal of Computer Assisted Learning, 2024
Background: Stealth assessment is a learning analytics method, which leverages the collection and analysis of learners' interaction data to make real-time inferences about their learning. Employed in digital learning environments, stealth assessment helps researchers, educators, and teachers evaluate learners' competencies and customize the…
Descriptors: Competence, Models, Research Methodology, Research Design