The Role of Education Technology in Student Engagement and Motivation

A special issue of Education Sciences (ISSN 2227-7102).

Deadline for manuscript submissions: 15 September 2026 | Viewed by 687

Editor


E-Mail Website
Guest Editor
Orgon Education Science Laboratory, University of Oregon, Eugene, OR 97403, USA
Interests: student engagement; motivation; learning in technology-enhanced; active learning environments particularly in STEM and teacher education contexts

Special Issue Information

Dear Colleagues,

Educational technologies are now deeply embedded across K–12, higher education, and informal learning contexts. Learning management systems, adaptive platforms, collaborative tools, simulations, and AI-enabled supports are frequently promoted as solutions for enhancing student engagement and motivation. However, empirical findings remain mixed, and important questions persist regarding how, for whom, and under what conditions educational technologies meaningfully support learning. As technology adoption accelerates, there is a growing need for research that moves beyond implementation to examine the motivational and engagement processes underlying technology-mediated learning experiences.

This Special Issue aims to advance understanding of how educational technologies shape students’ cognitive, behavioral, emotional, and social engagement, as well as key motivational processes such as interest, self-efficacy, belonging, and persistence. The scope of the Special Issue emphasizes theoretically grounded and empirically rigorous work that examines mechanisms linking technology use to engagement and motivation, attends to design features and instructional contexts, and considers issues of equity, inclusion, and accessibility across diverse learners and settings.

Suggested Themes and Topics of Interest Include (but Are Not Limited To):

  • Motivational and learning theories applied to educational technology
  • Design features and instructional practices that support student engagement
  • Learning analytics and process data for studying engagement and motivation
  • Technology-supported interventions targeting interest, self-efficacy, or persistence
  • Equity, inclusion, and accessibility in technology-mediated learning environments
  • Engagement and motivation across online, hybrid, and in-person contexts

We welcome experimental, quasi-experimental, qualitative, mixed-methods, learning analytics, and design-based research contributions. Collectively, this Special Issue seeks to advance theoretical clarity, empirical insight, and practical guidance on when and why educational technologies foster meaningful student engagement and motivation.

Dr. Matthew Graham
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a double-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Education Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • educational technology
  • student motivation
  • student engagement
  • learning analytics
  • equity and inclusion

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

23 pages, 5686 KB  
Article
Metacognitive Scaffolding in the Age of GenAI: A Behavioral Analysis of Student–Chatbot Interactions During Course Selection
by Cuilian Zhang, Wei Wei and Xiao Hu
Educ. Sci. 2026, 16(6), 824; https://doi.org/10.3390/educsci16060824 - 23 May 2026
Viewed by 438
Abstract
Course selection presents a persistent challenge for students who often have difficulty articulating clear goals, integrating multiple considerations, and aligning academic choices with personal and professional aspirations. This study investigates whether concept mapping, as a metacognitive scaffolding tool, may shape how students interact [...] Read more.
Course selection presents a persistent challenge for students who often have difficulty articulating clear goals, integrating multiple considerations, and aligning academic choices with personal and professional aspirations. This study investigates whether concept mapping, as a metacognitive scaffolding tool, may shape how students interact with Generative AI (GenAI) systems during academic decision-making. In a randomized controlled experiment, 180 undergraduates at a polytechnic university in China were assigned to either a GenAI-only condition or a GenAI + Concept Map condition. After excluding 3 outlier participants, 177 students were included in the final analysis. Controlling for prior academic performance via ANCOVA, students with concept-map support showed different interaction patterns: they had a longer maximum consecutive-question chain within a session (GPA-adjusted means: 11.92 vs. 9.07 questions), formulated longer questions (15.27 vs. 11.93 words), and spent more time per conversation session on average (8.05 vs. 6.77 min). An analysis of conversation content showed that the concept-map group discussed a wider range of course selection factors (covering 4.46 vs. 3.66 main dimensions and 8.70 vs. 6.36 detailed factors). Epistemic Network Analysis further suggested that concept-map users linked different factors more frequently in their conversations, connecting academic requirements with career development, intrinsic interests, and external recognition in their discourse. Notably, these group differences remained after controlling for GPA in the ANCOVA models. These findings suggest that metacognitive scaffolding may reshape the way students engage with GenAI, with concept-map users shifting from brief exchanges to extended conversations covering multiple integrated factors related to their academic choices. Full article
(This article belongs to the Special Issue The Role of Education Technology in Student Engagement and Motivation)
Show Figures

Figure 1

Back to TopTop