Luo / Zhang | Inclusive Innovations in Educational Technology: Diversity, Equity, and Pedagogical Frontiers | Buch | 978-981-9257-32-4 | www.sack.de

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Educational Technology

Luo / Zhang

Inclusive Innovations in Educational Technology: Diversity, Equity, and Pedagogical Frontiers

Selected Contributions to CSTE 2026 - The 8th International Conference on Computer Science and Technologies in Education
Erscheinungsjahr 2026
ISBN: 978-981-9257-32-4
Verlag: Springer Singapore

Selected Contributions to CSTE 2026 - The 8th International Conference on Computer Science and Technologies in Education

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes in Educational Technology

ISBN: 978-981-9257-32-4
Verlag: Springer Singapore


This book explores the dynamic intersection between educational and information technology. It covers a wide range of topics, including Artificial Intelligence (AI)-enhanced pedagogy tailored for diverse learners and learning analytics-driven differentiation, accessible immersive learning pedagogies, culturally responsive ed-tech solutions, equity-focused digital assessments, micro-credentialing for varied learners, smart pedagogy training for educators, multilingual learning support, and inclusive gamification frameworks. Through a combination of empirical studies, theoretical insights, and real-world examples, this book demonstrates technology’s potential to transform education. It serves as a valuable resource for educators looking to integrate innovative strategies, researchers exploring educational technology in depth, and practitioners seeking to develop more effective solutions.

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Zielgruppe


Research


Autoren/Hrsg.


Weitere Infos & Material


A Study on the Impact of Human Machine Collaboration on College Students' Critical Thinking A Case Study of Students in a Course at a Normal University in G Province.- Enhancing Conceptual Understanding of Human Body Systems Through AI-Powered Interactive Diagrams in Science Learning among Grade 11 Students.- Generative AI Empowering College Curriculum Teaching A Case Study of "Family and Community Education" Course.- Integrating PhET Interactive Simulations as Supplementary Virtual Learning Tool to Enhance Engagement and Learning Outcomes in Projectile Motion for Grade 10 Students.- Breaking the "Abstraction Barrier" in Materials Science Education "Three Integrations Multi Task Drive" for Enhancing Student Engagement and Competence.- TUTOR LA Technology Driven Understanding and Retention in Linear Algebra.- Predicting Mathematics Achievement from Technology Enhanced Instruction, Cognitive Engagement, and Affective Attitudes Using IRT.


Heng Luo received his Ph.D. degree in Instructional Design, Development, and Evaluation from Syracuse University in 2015, and worked as a Research Associate at John A. Dutton e-Education Institute in the Pennsylvania State University for two years. He is currently a Professor and Associate Dean in the Faculty of Artificial Intelligence in Education, Central China Normal University. His research work focuses on the effective integration of learning sciences, instructional design, and AI technologies to promote quality and equity of education in diverse contexts. Dr. Luo has been initiating socially responsive research programs that address the urgent needs and pressing issues in nowadays educational paradigm, such as inclusive e-learning, open education initiatives, self-regulated learning, STEM education, and safety education, leading to over 60 publications in SCI/SSCI/CSSCI journals. His academic contribution has been recognized with scholarly awards such as TICL Outstanding International Research Collaboration Award of AERA’2022 and D&D Outstanding Practice Award in the annual conference of AECT’2019.

Zhang Qi earned his Ph.D. from Beijing Normal University in 2017 and visited Nanyang Technological University (2018–2019), collaborating with Prof. Looi Chee Kit. He is a professor and Ph.D. supervisor at Huaibei Normal University, honored as Provincial Teaching Master and Young Elite Talent. He leads the Anhui Provincial Research Innovation Team on Smart Education Paradigm Transformation and the Teaching Innovation Team on Learning Analytics Technology and Methods, and instructs two national first-class undergraduate courses. He is a researcher at the Ministry of Education Engineering Research Center for Digital Learning and an expert at the Ministry of Education Educational Management Information Center and Anhui Provincial Education Department. His research focuses on smart education, learning analytics, and digital education strategy. He has published over 50 papers in SSCI and CSSCI journals and led multiple national and provincial projects. He has served as program committee chair and keynote speaker for conferences including GCCCE, GCCIL, CSTE, and IECT.



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