Smartwatches as Tools for Emotion Regulation in Higher Education : Evidence from an Action Research Project

Digital technologies are increasingly integrated into higher education, yet the role of wearable devices in supporting learning remains underexplored.This study investigates how students in higher education use smartwatches as tools for emotion regulation in their study practices.Drawing on Gross's model of emotion regulation, we conducted an action research study with a group of nine university students combining smartwatch biofeedback with reflective diaries to examine how they interpreted and applied physiological data in their study practices.We found that smartwatch feedback acted as a real-time cue for reflection enabling students to implement both proactive and reactive strategies.Three themes emerged: (1) using smartwatches to promote general well-being, (2) organizing study sessions, and (3) maintaining focus during study sessions.While the students found that strategies aimed at promoting wellbeing and organizing study sessions were relatively straightforward, and yielded immediate benefits, focus-oriented strategies such as distraction management and mindfulness proved more challenging and elicited complex emotions.The study contributes to higher education research by highlighting the potential of smartwatches as scaffolds for emotion regulation and self-regulated learning, while also addressing the limitations of purely data-driven approaches in understanding students' behaviour.

Authors

Institutions

Publication Details

Journal
Lancaster EPrints (Lancaster University)
Published
2026-04-29
Primary Topic
Mobile Learning in Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smartwatches as Tools for Emotion Regulation in Higher Education : Evidence from an Action Research Project

Niki Panteli, Jostein Engesmo, Fay Giæver
Lancaster EPrints (Lancaster University)
Mobile Learning in Education
article

Smartwatches as Tools for Emotion Regulation in Higher Education : Evidence from an Action Research Project

Niki Panteli, Jostein Engesmo, Fay Giæver
article en

Abstract

Digital technologies are increasingly integrated into higher education, yet the role of wearable devices in supporting learning remains underexplored.This study investigates how students in higher education use smartwatches as tools for emotion regulation in their study practices.Drawing on Gross's model of emotion regulation, we conducted an action research study with a group of nine university students combining smartwatch biofeedback with reflective diaries to examine how they interpreted and applied physiological data in their study practices.We found that smartwatch feedback acted as a real-time cue for reflection enabling students to implement both proactive and reactive strategies.Three themes emerged: (1) using smartwatches to promote general well-being, (2) organizing study sessions, and (3) maintaining focus during study sessions.While the students found that strategies aimed at promoting wellbeing and organizing study sessions were relatively straightforward, and yielded immediate benefits, focus-oriented strategies such as distraction management and mindfulness proved more challenging and elicited complex emotions.The study contributes to higher education research by highlighting the potential of smartwatches as scaffolds for emotion regulation and self-regulated learning, while also addressing the limitations of purely data-driven approaches in understanding students' behaviour.

Lancaster EPrints (Lancaster University)
Norwegian University of Science and Technology (NO)
Quality Education
Openalex Percentile: Top 3%
Mobile Learning in Education
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.