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  • New
  • Research Article
  • 10.1007/s11528-026-01165-6
Teacher Training Model for Artificial Intelligence in Education (AIED): Development, Implementation, and Evaluation
  • Feb 6, 2026
  • TechTrends
  • Gahyung Kim + 3 more

  • New
  • Research Article
  • 10.1007/s11528-025-01162-1
Editor’s Notes
  • Jan 14, 2026
  • TechTrends
  • Lucas Vasconcelos

  • Research Article
  • 10.1007/s11528-025-01158-x
An Innovative Multidisciplinary Strategy for Improving Students' Capacity for Computational Thinking: The Harezmi Education Model
  • Jan 9, 2026
  • TechTrends
  • Serhat Bahadır Kert + 2 more

  • Research Article
  • 10.1007/s11528-025-01160-3
Designing for Deep Learning and Inclusivity: Leveraging Understanding by Design and Universal Design for Learning for Mandated Curricula
  • Jan 7, 2026
  • TechTrends
  • Kim Pinckney

  • Research Article
  • 10.1007/s11528-025-01161-2
When Harriet Tubman Answered Back: A Brief History of Historical Simulation and the Promise of AI Dialogue
  • Jan 5, 2026
  • TechTrends
  • Michel Gomez

  • Research Article
  • 10.1007/s11528-025-01159-w
Implementing Large-Scale Virtual Reality in K-12 Education: A Report on Lessons Learned from Practice
  • Dec 27, 2025
  • TechTrends
  • Tricia Thrasher + 7 more

  • Open Access Icon
  • Research Article
  • 10.1007/s11528-025-01157-y
Motivation as a Driver of Engagement in Augmented-Reality Learning in Primary Schools
  • Dec 24, 2025
  • TechTrends
  • Stavros A Nikou

Abstract There is growing evidence that immersive learning can enhance motivation and engagement. However, research that explores how motivational states are transformed into engagement, especially within the context of Augmented Reality (AR) is rather underdeveloped. The current study aims at predicting and explaining student engagement in terms of the four motivational dimensions of the ARCS, namely attention, relevance, confidence and satisfaction. The study used an explanatory mixed methods design comprising an online survey followed by semi-structured interviews. 106 pupils from four Scottish primary schools participated in a series of AR-supported learning activities embedded in the classroom curriculum. Partial Least-Squares analysis explained approximately 55% of the variance in pupil engagement in terms of their motivational levels of attention, relevance, and satisfaction, demonstrating a moderate-to-strong predictive capability. The followed-up qualitative analysis of the structured interviews provided a more in-depth analysis of how ARCS motivational dimensions influence pupils’ engagement. Study findings can help researchers to better understand the dynamics linking motivation and engagement. It can also help practitioners in designing more engaging and impactful AR-supported learning activities, targeting young learners.

  • Research Article
  • 10.1007/s11528-025-01152-3
Aligning Conference Proposals With Mission and Theme: Insights From a 10-Year Review
  • Dec 4, 2025
  • TechTrends
  • Suha R Tamim + 4 more

  • Research Article
  • 10.1007/s11528-025-01139-0
Does Student Presence Influence Instructors’ Teaching Strategies in Video-based Teaching?
  • Dec 3, 2025
  • TechTrends
  • Sinem Çilligöl Karabey + 1 more

  • Research Article
  • 10.1007/s11528-025-01153-2
Exploring Virtual Student-Faculty Partnerships: A Narrative Inquiry for Learning Experience Design
  • Nov 29, 2025
  • TechTrends
  • Jaclyn Chastain + 2 more