Daniel Ebbert

Daniel Ebbert

PhD candidate at the University of South Australia

University of South Australia

Biography

I am a PhD candidate at the University of South Australia’s Centre for Change and Complexity in Learning. Prior to my doctoral studies, I worked as a Research Associate and Systems Administrator supporting university lecturers with educational technology in Germany. My doctoral research explores the intersection of self-regulated learning and mind wandering during video-based learning, specifically examining how learners adapt their learning processes after recognizing mind wandering episodes. This research aims to develop evidence-based recommendations for effective responses to mind wandering during learning. Following my PhD, I plan to expand my research beyond video-based contexts to investigate the conditions under which self-regulated learners engage in task-level, ad-hoc adaptation of their learning processes.

Interests
  • Self-regulated learning
  • Mind wandering
  • Learning Analytics
  • Video usage in higher education
  • Open Science
Education
  • PhD in Education, Started in 2022

    University of South Australia

  • Master of Science in Technical Communication, 2017

    University of Twente

  • Bachelor of Communication in Information Services and Management, 2015

    Saxion University of Applied Sciences

Publications

(2025). From Distraction to Reaction: Exploring Self-Regulated Learning and Off-Task Thoughts in Online Learning from Videos. Proceedings of the Doctoral Consortium of the 19th European Conference on Technology Enhanced Learning (ECTELDC 2024).

PDF Cite

(2024). Addressing Mind Wandering in Video-Based Learning: A Comparative Study on the Impact of Interpolated Testing and Self-explanation. Technology Enhanced Learning for Inclusive and Equitable Quality Education. EC-TEL 2024. Lecture Notes in Computer Science.

PDF Cite Code Dataset DOI

(2024). Self-regulated learning and off-task thoughts in online learning: Investigating the interaction during learning from videos. Companion Proceedings of the 14th International Learning Analytics and Knowledge Conference (LAK’24).

(2020). Patterns in students’ usage of lecture recordings: a cluster analysis of self-report data. Research in Learning Technology.

PDF Cite Code Dataset DOI

Talks

Examining Mind Wandering and Student Learning Behaviors while Engaging with Online Video Learning
Task-unrelated Thought and Gaze: Understanding the Complex Relation
Off-Task Thoughts and Self-Regulated Learning in Video-Based Learning
Off-Task Thoughts and Self-Regulated Learning in Video-Based Learning

Posters

SmartQuiz: Automated Generation of Multiple-Choice Questions From Educational Videos
Using RQA to Analyze Gaze in Task-Unrelated Thought