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Exploring Technology- and Sensor-Driven Trends in Education: A Natural-Language-Processing-Enhanced Bibliometrics

Manuel J Gomez1, José A Ruipérez-Valiente1, Félix J García Clemente1

  • 1Faculty of Computer Science, University of Murcia, 30100 Murcia, Spain.

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|December 9, 2023
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Summary

This study analyzes a decade of European Conference on Technology-Enhanced Learning (EC-TEL) papers. Sensor-based technologies are key drivers of innovation in educational technology, shaping its future direction.

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bibliometricsnatural language processingsensor-based learningsocial network analysistechnology-enhanced learning

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Area of Science:

  • Educational Technology
  • Computer-Supported Collaborative Learning

Background:

  • Technology-Enhanced Learning (TEL) is a rapidly evolving field.
  • The European Conference on Technology-Enhanced Learning (EC-TEL) is a key venue for research in this area.
  • Sensor-based technologies are increasingly explored within TEL.

Purpose of the Study:

  • To comprehensively analyze the evolving topics in TEL over the last decade.
  • To understand the implications of these topics for the future of education.
  • To map the collaborative networks within the TEL research community.

Main Methods:

  • A novel methodology combining text analytics and social network analysis was employed.
  • A corpus of 477 papers from EC-TEL over the last ten years was collected and parsed.
  • Latent Dirichlet Allocation (LDA) topic modeling and network analysis (co-authorship, citation) were utilized.

Main Results:

  • Key topics in TEL were identified and their evolution over ten years was mapped.
  • Significant trends and developments in educational technology were uncovered.
  • The critical role of sensor-driven technologies in driving innovation was highlighted.

Conclusions:

  • The analysis provides valuable insights into the current state and future trajectory of TEL.
  • Sensor-based technologies are identified as a major innovation force in the field.
  • Understanding topic evolution and collaboration networks is crucial for future educational technology research.