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8 articles

Bridging Student Expectations and Instructor Capacity: Leveraging General Artificial Intelligence to Enhance Quality Online Learning

Nicole L. Weber, Kristen Gay

Innovations in Pedagogy and Technology · 64-78 · 10.63385/ipt.v2i4.100771

This study centers student perspectives on quality digital, blended, and online learning through a secondary qualitative analysis of panel data originally collected by the Online Learning Consortium and Every Learner Everywhere. Drawing on transcripts from four student panels featuring twelve learners from diverse academic and i

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Educators’ Discussion with a Generative Artificial Intelligence Trainer

Amanda Gantt Sawyer, Devin Maxwell Christian, Pierre Sutherland

Innovations in Pedagogy and Technology · 42–53 · 10.63385/ipt.v2i3.101084

Educators have investigated the impact of generative Artificial Intelligence (genAI) tools, such as ChatGPT and Large Language Models (LLMs), on curriculum development in K-12 schools. Still, little is known about the development of these tools and their impact on the future of education. Therefore, a teacher educator conducted

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Foundations for Post-Disciplinary and Transdisciplinary Education for Next-Generation Cyber-Physical Systems

Imre Horváth

Innovations in Pedagogy and Technology · 19–41 · 10.63385/ipt.v2i3.502

Post-disciplinary and transdisciplinary knowledge synthesis facilitates extensive intellectualization, socialization, personalization, and naturalization of next-generation cyber-physical systems (NG-CPSs). However, it makes learning and teaching NG-CPSs more challenging and calls for new educational methods. These challenges ar

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Reimagining Krashen’s Input Hypothesis: The Role of AI and Multimodal Strategies in Language Acquisition

Pourya Javahery, Mohammad Javad Alizadeh

Innovations in Pedagogy and Technology · 156–168 · 10.63385/ipt.v1i3.50

Krashen’s Input Hypothesis, a foundational theory in second language acquisition (SLA), emphasizes the importance of comprehensible input slightly beyond a learner’s current proficiency level, or "i+1," as the key to language development. While the hypothesis has significantly influenced language pedagogy, its practical implemen

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The Missing Link: Knowledge Management in AI-Powered Education Frameworks

Abraham Abby Sen, Jeen Mariam Joy, Murray Jennex, Jeffrey Babb, Kareem Dana

Innovations in Pedagogy and Technology · 141–155 · 10.63385/ipt.v1i3.114

As Artificial Intelligence (AI) reshapes educational assessment practices, there is a growing need to examine existing frameworks through the lens of Knowledge Management (KM). While models such as TALiP, Assessment for Learning (AfL), Popham’s Model, and Stiggins’ Five Pillars offer important foundations for assessment literacy

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Beyond Deterministic Design: Engineering Education for AI-Enabled Heterogeneous Systems

Ilya Levin, Aharon Gero

Innovations in Pedagogy and Technology · 80–99 · 10.63385/ipt.v2i3.101068

As generative artificial intelligence (AI) automates engineering design, a fundamental reconceptualization of engineering education becomes necessary. This constructive position paper proposes the “vibe-designer”—a new professional paradigm that strategically compresses the traditional middle phase of the engineering curriculum

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Approaches to Post-Disciplinary and Transdisciplinary Education for Next-Generation Cyber-Physical Systems

Imre Horvath

Innovations in Pedagogy and Technology · 54–79 · 10.63385/ipt.v2i3.101058

This position paper explores educational topics, methodological issues, and near-future prospects of learning approaches for next-generation cyber-physical systems (NG-CPSs). It first reviews major epistemic and methodological innovations and discusses a move toward post-disciplinary and transdisciplinary education. NG-CPSs are

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Educational Program Development for Post-Disciplinary Mechatronics Considering Trends, Evolution, and a Novel Reasoning Model

Imre Horváth, György Ábrahám

Innovations in Pedagogy and Technology · 107-130 · 10.63385/ipt.v1i1.171

Due to the intertwining scientific, technological, engineering, economic, and social trends, we need to rethink our mental models in the field of mechatronics. The authors (i) completed a broad literature survey of state of the art in this product paradigm-driven discipline, (ii) identified the trends having the highest influenc

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