Advancing the Understanding of Personalized Learning, Self-Regulation, and Technology through Bibliometric Analysis (74153)

Session Information: Teaching Experiences, Pedagogy, Practice & Praxis
Session Chair: Dorela Kaҫauni

Saturday, 23 September 2023 09:30
Session: Session 1
Room: Room C (Live Stream)
Presentation Type:Live-Stream Presentation

All presentation times are UTC + 2 (Europe/Madrid)

The paradigm of learning is changing, necessitating research into pedagogical strategies that emphasize learners. A blend that brings together personalized learning, self-regulation, and technology is a way to respond to the current needs within higher education. A key aspect of this approach is the flexibility of the design of pedagogies, learning sequences, and the typology of assessments; generating student-focused teaching strategies and promoting participation, collaboration, and self-regulated learning. The purpose of this paper is to (a) review research on technology-enabled personalized learning and self-regulation in higher education, (b) conceptualize how personalized learning facilitates self-regulation among the learners, and (c) provide a pedagogical framework for utilizing technology toward personalized learning that supports self-regulation, manages cognitive strategies to learn, retain, and comprehend the content, and maximizes learners’ learning outcomes. This study undertook a bibliometric analysis of research papers on personalized learning, self-regulation, and technology in the Scopus database from 2006 to 2023 to outline the research trends and compare the existing research to identify gaps and opportunities for future research. The analysis highlighted that the majority of the research focused on scaffolding to learn in a virtual environment and the design of adaptive learning software and digital tools, suggesting a need for more research on innovative pedagogical approaches to develop learners’ autonomy over their learning experience. The findings also suggested that future research needs to focus on technology to tailor more targeted and effective learning experiences, which could potentially lead to more personalized and efficient instruction.

Debolina Halder, University of Dubai, United Arab Emirates
Eesa Bastaki, University of Dubai, United Arab Emirates
Sara Suleymanova, University of Dubai, United Arab Emirates
Nasiruddeen Muhammad, University of Dubai, United Arab Emirates

About the Presenter(s)
Ms Debolina Halder is a Researcher at University of Dubai in United Arab Emirates

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00