Emerging Technologies in Education: Exploring Their Impact on Teaching and Learning

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

Deadline for manuscript submissions: 31 December 2026 | Viewed by 1262

Special Issue Editors


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Guest Editor
School of Philosophy and Education, Department of Education, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece
Interests: educational robotics; STEM; circuits; microcontrollers

E-Mail Website
Guest Editor
School of Philosophy and Education, Department of Education, Aristotle University of Thessaloniki (AUTH), 54124 Thessaloniki, Greece
Interests: tangible programming; tangible user interfaces; educational robotics; human–computer interaction
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Special Issue Information

Dear Colleagues,

In today’s rapidly evolving educational landscape, digital technologies are playing an increasingly transformative role in how teaching and learning occur across all levels of education. From early childhood to higher education, innovative tools such as artificial intelligence, virtual and augmented reality, learning management systems, gamified applications, educational robotics, and mobile learning platforms are reshaping classroom dynamics and pedagogical strategies. Hence, we are pleased to propose this Special Issue titled “Emerging Technologies in Education: Exploring Their Impact on Teaching and Learning”.

This Special Issue aims to bring together a collection of research papers and reviews from diverse theoretical and methodological perspectives, exploring how emerging technologies are being integrated into classroom settings to enhance learning outcomes, teaching effectiveness, and student engagement. We welcome contributions that focus on both theory and empirical research/practical implementations in real educational contexts.

We are particularly interested in studies addressing (but not limited to) the following topics:

  • AI-driven tools and personalized learning in the classroom;
  • Educational uses of virtual and augmented reality;
  • Mobile and ubiquitous learning environments;
  • Gamification and digital game-based learning;
  • Technology-enhanced assessment and feedback systems;
  • Teacher digital competencies and professional development;
  • Equity, ethics, and accessibility in technology integration;
  • Interdisciplinary applications of technology in language, STE(A)M, and educational robotics;
  • Student perceptions and engagement in technology-mediated classrooms;
  • Hybrid and blended post-pandemic learning models.

This Special Issue aims to make a significant impact on both research and theory, supporting the development of innovative, evidence-based educational strategies. By synthesizing cutting-edge findings, tools, and ongoing challenges, this Issue will serve as a valuable resource for educators, researchers, policymakers, developers, and all those interested in the future of technology-enhanced learning.

Dr. Sokratis Tselegkaridis
Dr. Sapounidis Theodosios
Guest Editors

Manuscript Submission Information

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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-blind 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
  • artificial intelligence in education
  • gamification in the classroom
  • virtual reality in education
  • augmented reality in education
  • educational robotics
  • blended learning
  • teacher professional development

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Published Papers (1 paper)

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Research

14 pages, 251 KB  
Article
Beyond Quiz Scores: LMS Behavioral Metrics and Their Association with Summative Performance in Higher Education
by Marko Radovan
Educ. Sci. 2026, 16(5), 772; https://doi.org/10.3390/educsci16050772 (registering DOI) - 13 May 2026
Viewed by 12
Abstract
This study investigates how ongoing low-stakes quizzes and other learning management system (LMS)-based activities relate to performance on a summative course quiz in higher education. We analyzed course data from 37 first-year undergraduate students. Data were extracted from Moodle and covered weekly quiz [...] Read more.
This study investigates how ongoing low-stakes quizzes and other learning management system (LMS)-based activities relate to performance on a summative course quiz in higher education. We analyzed course data from 37 first-year undergraduate students. Data were extracted from Moodle and covered weekly quiz scores across ten quizzes, number of attempts, attempt duration, latency between quiz release and first attempt, and student engagement with course materials. Descriptive statistics, Pearson correlations, and partial correlations were used to examine these relationships. The findings consistently point in the same direction: when and how often students engaged with quizzes mattered far more than how well they scored on them. Longer latency—that is, delaying the first quiz attempt after release—was strongly negatively associated with final quiz performance, while students who attempted quizzes more frequently and completed them more quickly tended to perform better. Among course materials, viewing the core lecture handouts showed the strongest positive association with final scores, while additional reading, Moodle lesson completion, and Padlet participation showed weaker but statistically significant positive associations. Topic materials were not significantly associated with final quiz performance. Partial correlation analyses confirmed that latency, number of attempts, and handout views each remained independently associated with final performance after controlling for average quiz score, suggesting these behavioral indicators capture something that raw accuracy alone does not. These results align with testing-effect and self-regulated learning research and point to a clear practical implication: course designs that encourage early, repeated engagement with structured core materials are likely to support better student outcomes than those that rely primarily on quiz scores as a proxy for learning. Full article
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