World's Best Scientists 2026 revealed!
Dragan Gasevic

Dragan Gasevic

Award Badge
Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
90
Citations
33539
World Ranking
607
National Ranking
11

Social Sciences and Humanities

D-Index
90
Citations
33140
World Ranking
198
National Ranking
14

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Dragan Gasevic is affiliated with Monash University in Australia and has contributed extensively to research in computer science and social sciences, particularly in the fields of computer science applications, artificial intelligence, education, developmental and educational psychology, and information systems.

The scientist's research focuses on areas including online learning and analytics, innovative teaching and learning methods, intelligent tutoring systems and adaptive learning, online and blended learning, e-learning and knowledge management, topic modeling, and student assessment and feedback.

Recent publications by Dragan Gasevic include:

  • Vision, challenges, roles and research issues of Artificial Intelligence in Education (2020), published in Computers and Education Artificial Intelligence
  • Explainable Artificial Intelligence in education (2022), published in Computers and Education Artificial Intelligence
  • Practical and ethical challenges of large language models in education: A systematic scoping review (2023), published in British Journal of Educational Technology
  • Automatic feedback in online learning environments: A systematic literature review (2021), published in Computers and Education Artificial Intelligence
  • Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI? (2022), published in Computers and Education Artificial Intelligence

Frequent collaborators in research projects include:

  • Guanliang Chen
  • Yi-Shan Tsai
  • Mladen Raković
  • Roberto Martínez-Maldonado
  • Lixiang Yan

Dragan Gasevic's work has been published predominantly in venues such as:

  • arXiv (Cornell University)
  • Computers and Education Artificial Intelligence
  • Journal of Learning Analytics
  • British Journal of Educational Technology
  • Journal of Computer Assisted Learning

In addition to journal publications, Dragan Gasevic has contributed to book literature, including the publication titled The Handbook of Learning Analytics (2022), released by Solar eBooks.

Best Publications

  • Let’s not forget: Learning analytics are about learning

    Dragan Gašević;Shane Dawson;George Siemens

  • Vision, challenges, roles and research issues of Artificial Intelligence in Education

    Gwo-Jen Hwang;Haoran Xie;Benjamin W. Wah;Dragan Gašević

  • Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic success

    Dragan Gašević;Shane Dawson;Tim Rogers;Danijela Gasevic

  • Practical and ethical challenges of large language models in education: A systematic scoping review

    Unknown

  • Preparing for the Digital University: A Review of the History and Current State of Distance, Blended and Online Learning

    George Siemens;George Siemens;Dragan Gašević;Shane Dawson

  • Where is Research on Massive Open Online Courses Headed? A Data Analysis of the MOOC Research Initiative

    Dragan Gaševic;Vitomir Kovanovic;Vitomir Kovanovic;Srecko Joksimovic;Srecko Joksimovic;George Siemens

  • Model Driven Engineering and Ontology Development

    Dragan Gasevic;Dragan Djuric;Vladan Devedzic

  • Learning analytics to unveil learning strategies in a flipped classroom

    Jelena Jovanović;Dragan Gašević;Shane Dawson;Abelardo Pardo

  • Using Learning Analytics to Scale the Provision of Personalised Feedback.

    Abelardo Pardo;Jelena Jovanovic;Shane Dawson;Dragan Gašević

  • Guest Editorial-Learning and Knowledge Analytics

    George Siemens;Dragan Gasevic

  • Automatic feedback in online learning environments: A systematic literature review

    Anderson Pinheiro Cavalcanti;Arthur Barbosa;Ruan Carvalho;Fred Freitas

  • Handbook of Learning Analytics

    Charles Lang;George Siemens;Alyssa Wise;Dragan Gasevic

  • A Systematic Review of Empirical Studies on Learning Analytics Dashboards: A Self-Regulated Learning Perspective

    Wannisa Matcha;Noraayu Ahmad Uzir;Dragan Gasevic;Abelardo Pardo

  • Social presence in online discussions as a process predictor of academic performance

    Srecko Joksimovic;Dragan Gasevic;Vitomir Kovanovic;Bernhard E. Riecke

  • Open Learning Analytics: an integrated modularized platform

    George Siemens;Dragan Gašević;Caroline Haythornthwaite;Shane Dawson

  • Current state and future trends: a citation network analysis of the learning analytics field

    Shane Dawson;Dragan Gašević;George Siemens;Srecko Joksimovic

  • Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI?

    Unknown

  • Impact of AI assistance on student agency

    Unknown

  • A qualitative evaluation of evolution of a learning analytics tool

    Liaqat Ali;Marek Hatala;Dragan Gašević;Jelena Jovanović

  • Analytics of communities of inquiry: Effects of learning technology use on cognitive presence in asynchronous online discussions

    Vitomir Kovanovic;Dragan Gasevic;Srecko Joksimovic;Marek Hatala

  • Tools for Educational Data Mining A Review

    Stefan Slater;Srećko Joksimović;Vitomir Kovanovic;Ryan S. Baker

  • Embracing Big Data in Complex Educational Systems: The Learning Analytics Imperative and the Policy Challenge.

    Leah P. Macfadyen;Shane Dawson;Abelardo Pardo;Dragan Gaševic

  • Proceedings of the 9th International Conference on Educational Data Mining (EDM 2016)

    Jo Yohan;Gaurav Tomar;Oliver Ferschke;Carolyn Penstein Rose

  • Analyzing multimodal multichannel data about self-regulated learning with advanced learning technologies: issues and challenges

    Roger Azevedo;Dragan Gašević

Frequent Co-Authors

Jelena Jovanovic
Jelena Jovanovic University of Belgrade
Marek Hatala
Marek Hatala Simon Fraser University
Shane Dawson
Shane Dawson University of South Australia
Vitomir Kovanović
Vitomir Kovanović University of South Australia
Abelardo Pardo
Abelardo Pardo University of Adelaide
George Siemens
George Siemens The University of Texas at Arlington
Vladan Devedžić
Vladan Devedžić University of Belgrade
Gerd Wagner
Gerd Wagner Brandenburg University of Technology
Ryan S. Baker
Ryan S. Baker University of Pennsylvania
Carolyn Penstein Rosé
Carolyn Penstein Rosé Carnegie Mellon University

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