Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/112992
PIRA download icon_1.1View/Download Full Text
Title: Exploring the impact of robot interaction on learning engagement : a comparative study of two multi-modal robots
Authors: Fung, KY
Fung, KC
Lui, TLR
Sin, KF
Lee, LH 
Qu, H
Song, S
Issue Date: Dec-2025
Source: Smart learning environments, Dec. 2025, v. 12, no. 1, 12
Abstract: In recent years, there has been a growing interest in using robots within educational environments due to their potential to augment student engagement and motivation. However, current research has not adequately addressed the effectiveness of these robots in facilitating inclusive learning for diverse student populations, particularly those with dyslexia. This study proposes an inclusive learning system developed on two multi-modal robots, Kebbi and Minibo, with interactive (i.e., movable hands) and straightforward features. The system integrates various interactive elements, such as animations, songs, dance, gestures, and touch, to enhance students’ learning engagement, interaction, and motivation and cater to their diverse needs. The study aims to examine the influence of different features from two unique multi-modal robots on the engagement levels of students with/without dyslexia and their needs when engaging with robot learning. Two research questions are posed: (1) What are the features of multi-modal robots that could effectively improve the learning engagements of students with/without dyslexia? (2) What are the needs of students with/without dyslexia when engaging with robot learning? To this end, a comparative study is conducted where 64 students participate in a five-day robot-led training program, while another 73 students receive traditional teacher-led training. Pre/post questionnaires are administered to evaluate students’ engagement levels, and semi-structured interviews are conducted to obtain additional insights. The findings reveal that students with dyslexia are better suited to the interactive and multi-modal features of Kebbi. In contrast, students without dyslexia may prefer the more straightforward features of Minibo, which can still effectively promote engagement and learning. Multi-modal robots can boost engagement and motivation in students with and without dyslexia through novelty and cognitive load management. Emotional connections and interactive elements, such as empathetic and customizable features, enhance engagement and improve learning outcomes.
Keywords: Dyslexia
Inclusive classrooms
Learning engagement
Motivation
Robot-empowered learning
Tactile interaction
Publisher: SpringerOpen
Journal: Smart learning environments 
EISSN: 2196-7091
DOI: 10.1186/s40561-024-00362-1
Rights: © The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
The following publication Fung, K.Y., Fung, K.C., Lui, T.L.R. et al. Exploring the impact of robot interaction on learning engagement: a comparative study of two multi-modal robots. Smart Learn. Environ. 12, 12 (2025) is available at https://doi.org/10.1186/s40561-024-00362-1.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
s40561-024-00362-1.pdf3.8 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

9
Citations as of Dec 19, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.