Leading AI-Driven Student Engagement: The Role of Digital Leadership in Higher Education

This theoretical position paper explores the potential of artificial intelligence (AI) to enhance student engagement through the lens of academic leadership. To illustrate our argument, we include exploratory, mixed-methods evidence drawn from a descriptive survey of 95 undergraduate students and five semi-structured interviews with key academic leaders. These data are indicative only and not intended for statistical generalisation; however, they ground and inform the theoretical propositions of this paper. Focusing on how AI-driven tools can be used, the study examines the central role of academic leaders in guiding these innovations. By addressing key leadership decisions—including resource allocation, policy development, and faculty support—the study explores how AI can foster a more responsive and engaging learning environment and provides insights into how academic leadership can guide the integration of AI technologies to increase student motivation, participation and academic success in different educational settings.

Authors

Institutions

Publication Details

Journal
Education Sciences
Published
2025-06-18
DOI
https://doi.org/10.3390/educsci15060775
Citations
4
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
6.77
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leading AI-Driven Student Engagement: The Role of Digital Leadership in Higher Education

Melita Kovačević, Tamara Dagen, Miroslav Rajter
4 citations
Education Sciences
Online Learning and Analytics
6.77
article

Leading AI-Driven Student Engagement: The Role of Digital Leadership in Higher Education

Melita Kovačević, Tamara Dagen, Miroslav Rajter
article en
4 citations

Abstract

This theoretical position paper explores the potential of artificial intelligence (AI) to enhance student engagement through the lens of academic leadership. To illustrate our argument, we include exploratory, mixed-methods evidence drawn from a descriptive survey of 95 undergraduate students and five semi-structured interviews with key academic leaders. These data are indicative only and not intended for statistical generalisation; however, they ground and inform the theoretical propositions of this paper. Focusing on how AI-driven tools can be used, the study examines the central role of academic leaders in guiding these innovations. By addressing key leadership decisions—including resource allocation, policy development, and faculty support—the study explores how AI can foster a more responsive and engaging learning environment and provides insights into how academic leadership can guide the integration of AI technologies to increase student motivation, participation and academic success in different educational settings.

Education SciencesVol. 15(6)
University of Zagreb (HR)
Openalex Percentile: Top 3%
Online Learning and Analytics
6.77
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.