Abstract

The purpose of this article is to offer insights into current understanding of digital learning environments (DLEs) from a neuroscientific perspective. Cognitive neuroscience methods are increasingly applied in educational research to examine the neural underpinnings of learning. As such, neuroscientific evidence can play an important role in advancing current knowledge base from the existing self-reported data and behavioural measures in the field of educational technology. In this paper, we focus our review of neuroscience research on DLEs that can potentially transform the way we view learning and instruction. We discuss recent empirical studies done on DLEs using common cognitive neuroscience methods which included eye tracking, electroencephalography (EEG), and functional magnetic resonance imaging (fMRI). We offer recommendations for future applications of neuroscience methods in behavioural research within DLEs.

Highlights

  • Educational technologies are emerging as an important instructional means to facilitate student engagement and self-directed learning in universities (O’Flaherty & Phillips, 2015)

  • This paper aims to examine how cognitive neuroscience methods are used with behavioural measures to inform evidence-based research in the field of educational technology

  • The present paper provided a discussion of the use of neuroscience methods to study brain mechanisms related to learning and instruction within the field of educational technology

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Summary

Introduction

Educational technologies are emerging as an important instructional means to facilitate student engagement and self-directed learning in universities (O’Flaherty & Phillips, 2015). Traditional teaching has been combined with digital learning environments (DLEs) to offer new opportunities for student-centered learning and to facilitate students’ knowledge construction. Such a form of blended learning is becoming commonplace in universities and constantly undergoing design changes to adapt to varied higher institution learning settings (O’Flaherty & Phillips, 2015). This paper aims to examine how cognitive neuroscience methods are used with behavioural measures to inform evidence-based research in the field of educational technology. This review paper provides a focused theme on some current advances and perspectives on the application of cognitive neuroscience to understand student learning in DLEs at university level

Digital Learning Environment
Neuroscience and Education
Eye tracking
Cueing conditions
Pace of instruction
Instructional task
Type of devices
Content knowledge
Working capacity
Implications for Research and Practice
Conclusion
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