Big Data and Data Science in Educational Research
A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).
Deadline for manuscript submissions: closed (15 December 2018) | Viewed by 7676
Special Issue Editor
Interests: artificial Intelligence in education (AIED); big data and learning analytics; data science in educational research; theory and praxis of teaching of research methodology (Quan, Qual and MM)
Special Issue Information
Dear Colleagues,
The growing volume of data generated by machines, humans, applications, sensors and networks, together with the associated complexity of the research environment, requires innovation in educational research. In education, the ability to work with new forms of data and analytical tools can provide educational institutions with the knowledge they need to operate efficiently in highly technical and challenging research environments. Moreover, the growing research interest in Big Data and analytics in education suggests that the field of educational research is likely to become a data-intensive in the near future.
Educational Data Science(EDS) is a growing field of inquiry, primarily concerned with the extraction of information from a large and complex set of educational data, with the purpose of discerning valuable and actionable knowledge. EDS techniques can be applied to explore large quantities of data on students’ learning trajectories in learning management systems, social media interaction, faculty teaching practices. These data can be harvested and analysed to reveal useful patterns and insights to support better decisions relating to student learning, teaching and optimisation of institutional resources.
This Special Issue will present selected examples of the latest research on the application of Big Data and Data Science concepts, approaches, models, methods and methodologies in educational research. It will cover fundamental concepts and advanced Data Science approaches and analytic methods used in educational research, and ultimately open up opportunities to research and develop new analytical methods and techniques in Big Data applications in educational research.
Dr. Ben Kei Daniel
Guest Editor
Manuscript Submission Information
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Keywords
- Data Science in educational research
- Learner and user modelling
- Educational data mining
- Technology-enhanced Educational
- Big Data in Education
- Learning Analytics
- Teacher/Teaching Analytics
- Sentiment analysis in learning environments
- Dashboards and visualisation techniques in education
- Social network analysis
- Emergent educational research methods and techniques
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