cleanup: remove varga-atkins multimodal learning stub duplicate

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Fixed 14 references, rebuilt search index (649 entries)

Author: edtechdev

pages/generative-ai.html

@@ -54,7 +54,7 @@ <h1>Multimodal Learning with Generative AI</h1>
         <div class="metadata">Created: 2026-05-07 | Tags: <a href="../tags/ai-education.html" class="tag">ai-education</a><a href="../tags/higher-ed.html" class="tag">higher-ed</a><a href="../tags/generative-ai.html" class="tag">generative-ai</a><a href="../tags/multimodal.html" class="tag">multimodal</a><a href="../tags/active-learning.html" class="tag">active-learning</a><a href="../tags/scaffolding.html" class="tag">scaffolding</a><a href="../tags/feedback-loop.html" class="tag">feedback-loop</a><a href="../tags/assessment.html" class="tag">assessment</a></div>
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     <main class="container"><blockquote>
-A comprehensive educator's guide to integrating Generative AI into multimodal teaching, learning, and assessment across higher education. Built on Kress's social semiotic theory of multimodality, the guide positions GenAI as a 'cyber-social' partner that complements—but cannot replace—human meaning-making. It proposes the <strong>MMLD-AI</strong> unifying model (UDL + ABC Learning Design) and the <strong>Dual-Track Cyber-Social Learning Model</strong> for designing effective human-AI collaboration.^<a href="varga-atkins-educators-guide-multimodal-learning-genai-2025.html">varga-atkins-educators-guide-multimodal-learning-genai-2025</a>
+A comprehensive educator's guide to integrating Generative AI into multimodal teaching, learning, and assessment across higher education. Built on Kress's social semiotic theory of multimodality, the guide positions GenAI as a 'cyber-social' partner that complements—but cannot replace—human meaning-making. It proposes the <strong>MMLD-AI</strong> unifying model (UDL + ABC Learning Design) and the <strong>Dual-Track Cyber-Social Learning Model</strong> for designing effective human-AI collaboration.^<a href="varga-atkins-educators-guide-multimodal-genai-2025.html">varga-atkins-educators-guide-multimodal-learning-genai-2025</a>
 </blockquote><p><h2>Core Position: Pragmatic, Not Uncritical</h2></p><p>The guide adopts a middle way between "techno-fixing" and rejecting AI as an existential threat. It argues that:
 <ul><li>GenAI is already embedded in daily life; ignoring it does students a disservice</li></ul>
 <ul><li>GenAI is <strong>not intelligent</strong> (no consciousness, understanding, or ethical judgement)</li></ul>

pages/multimodal-learning-genai.html

@@ -61,7 +61,7 @@ <h1>Multimodal</h1>
 <ul><li><a href="multimodal-prompting-ai-literacy.html">multimodal-prompting-ai-literacy</a></li></ul>
 <ul><li><a href="savvy-student-attention-video-learning.html">savvy-student-attention-video-learning</a></li></ul>
 <ul><li><a href="privacy-aware-classroom-incident-recognition-2026.html">privacy-aware-classroom-incident-recognition-2026</a> — related</li></ul>
-<ul><li><a href="nuclear-diffusion-text-to-image-learning-2026.html">nuclear-diffusion-text-to-image-learning-2026</a> — related</li></ul></p><hr><h2>📎 15 other pages tagged <a href="../tags/multimodal.html">multimodal</a></h2><ul><li><a href="multimodal-affective-its-presentation.html">An Interpretable Closed-Loop Intelligent Tutoring System for Multimodal Affective Feedback in Asynchronous Presentation Training</a></li><li><a href="anvil-ai-educational-animations.html">ANVIL: Analogies and Videos for Lecturers</a></li><li><a href="llm-handwritten-math-grading.html">Automated Grading of Handwritten Mathematics Using Vision-Capable LLMs</a></li><li><a href="llm-cognitive-diagnosis-handwritten-math.html">Benchmarking Large Language Models for Diagnosing Students' Cognitive Skills from Handwritten Math Work</a></li><li><a href="educational-vlm-evaluation.html">Educational VLM Evaluation</a></li><li><a href="varga-atkins-educators-guide-multimodal-learning-genai-2025.html">Educator's Guide to Multimodal Learning with GenAI</a></li><li><a href="multimodal-ai-feedback-learning.html">LLM-based Multimodal AI Feedback Produces Equivalent Learning and Better Student Perceptions than Educator Feedback</a></li><li><a href="syal-multimodal-dialogue-stem-2026.html">Multimodal Dialogue in STEM Education</a></li><li><a href="multimodal-learning-genai.html">Multimodal Learning with Generative AI</a></li><li><a href="nuclear-diffusion-text-to-image-learning-2026.html">NuclearDiffusion: Text-to-Image Foundation Models for Learning Nuclear Energy Concepts</a></li><li><a href="privacy-aware-classroom-incident-recognition-2026.html">Robust and Efficient Motion Reasoning for Privacy-Aware Classroom Incident Recognition</a></li><li><a href="savvy-student-attention-video-learning.html">SAVVY: Student Attention Visualization for Video-based Learning Analysis</a></li><li><a href="slidesqaqa-pedagogical-question-generation.html">Slide Deck Q&A Quality Assurance App: A Multi-Stage Pipeline for Pedagogical Question Generation</a></li><li><a href="multimodal-prompting-ai-literacy.html">Students' multimodal prompting practices as epistemic work in AI literacy development</a></li><li><a href="turtleai-visual-programming-benchmark.html">TurtleAI: Benchmarking Multimodal Models for Visual Programming in Turtle Graphics</a></li></ul></main>
+<ul><li><a href="nuclear-diffusion-text-to-image-learning-2026.html">nuclear-diffusion-text-to-image-learning-2026</a> — related</li></ul></p><hr><h2>📎 15 other pages tagged <a href="../tags/multimodal.html">multimodal</a></h2><ul><li><a href="multimodal-affective-its-presentation.html">An Interpretable Closed-Loop Intelligent Tutoring System for Multimodal Affective Feedback in Asynchronous Presentation Training</a></li><li><a href="anvil-ai-educational-animations.html">ANVIL: Analogies and Videos for Lecturers</a></li><li><a href="llm-handwritten-math-grading.html">Automated Grading of Handwritten Mathematics Using Vision-Capable LLMs</a></li><li><a href="llm-cognitive-diagnosis-handwritten-math.html">Benchmarking Large Language Models for Diagnosing Students' Cognitive Skills from Handwritten Math Work</a></li><li><a href="educational-vlm-evaluation.html">Educational VLM Evaluation</a></li><li><a href="varga-atkins-educators-guide-multimodal-genai-2025.html">Educator's Guide to Multimodal Learning with GenAI</a></li><li><a href="multimodal-ai-feedback-learning.html">LLM-based Multimodal AI Feedback Produces Equivalent Learning and Better Student Perceptions than Educator Feedback</a></li><li><a href="syal-multimodal-dialogue-stem-2026.html">Multimodal Dialogue in STEM Education</a></li><li><a href="multimodal-learning-genai.html">Multimodal Learning with Generative AI</a></li><li><a href="nuclear-diffusion-text-to-image-learning-2026.html">NuclearDiffusion: Text-to-Image Foundation Models for Learning Nuclear Energy Concepts</a></li><li><a href="privacy-aware-classroom-incident-recognition-2026.html">Robust and Efficient Motion Reasoning for Privacy-Aware Classroom Incident Recognition</a></li><li><a href="savvy-student-attention-video-learning.html">SAVVY: Student Attention Visualization for Video-based Learning Analysis</a></li><li><a href="slidesqaqa-pedagogical-question-generation.html">Slide Deck Q&A Quality Assurance App: A Multi-Stage Pipeline for Pedagogical Question Generation</a></li><li><a href="multimodal-prompting-ai-literacy.html">Students' multimodal prompting practices as epistemic work in AI literacy development</a></li><li><a href="turtleai-visual-programming-benchmark.html">TurtleAI: Benchmarking Multimodal Models for Visual Programming in Turtle Graphics</a></li></ul></main>
     <footer class="container"><small>Part of AI Ed Wiki · <a href="../index.html">Home</a> · Generated 2026-08-07</small></footer>
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pages/multimodal.html

@@ -7881,17 +7881,6 @@
     "content": "Varga-Atkins, Saunders, Beckingham, Hartley, Keshishi, Lacković, Li, Lindsay, Wen & Winder (2025) produced a practical, research-informed guide for educators and educational developers on integrating Generative AI into multimodal teaching, learning, and assessment — grounded in a SEDA-funded study combining a literature review, survey, focus groups, and case-study collection. Overview Published by the University of Liverpool and funded by the Staff and Educational Development Association (SEDA), this guide adopts a pragmatic \"middle way\" between uncritical adoption and outright rejection of GenAI. It draws on Vallor's (2024) framing of AI as a \"mirror machine\" and Cope & Kalantzis's (2024) concept of cyber-social learning — a collaborative partnership between human and machine intelligence, each with distinct but complementary strengths. Critical Considerations: The Costs of GenAI Before offering practical strategies, the guide foregrounds three categories of cost: Environmental Costs Generating multimodal content (images, video, audio) requires significantly more energy than text-only generation (Luccioni et al., 2024) Energy data from GenAI providers is difficult to extract, but the evidence base confirms substantial environmental impact Costs to Knowledge Over-reliance on GenAI can harm knowledge acquisition and retention by removing the process of sourcing knowledge (Yan et al., 2025) MIT research: students who clarify their own understanding before consulting GenAI experience major benefits (Naughton, 2025) Costs to Future Jobs Tomlinson et al. (2025) devised an \"AI applicability score\" showing highest vulnerability in knowledge work, computing, and administrative occupations Implication: educators must foster agency and evaluative judgement, not just prompt-crafting skills AI Literacy Across Four Scales The guide maps AI literacy development onto a four-scale framework: Level Key Strategies Individual Workshops on creative multimodal tasks, prompt-crafting pra",
     "url": "pages/varga-atkins-educators-guide-multimodal-genai-2025.html"
   },
-  {
-    "slug": "varga-atkins-educators-guide-multimodal-learning-genai-2025",
-    "title": "Educator's Guide to Multimodal Learning with GenAI",
-    "tags": [
-      "educator-guide",
-      "generative-ai",
-      "multimodal"
-    ],
-    "content": "This is a stub pa Varga-Atkins (2025) offers an educator's guide to multimodal learning with GenAI — practical guidance for weaving image, audio, and text modalities into learning design, connecting the wiki's multimodal , generative-ai , and instructional-design threads with accessibility considerations ( accessible-learning , equity ). Educator's Guide to Multimodal Learning with GenAI Related Pages",
-    "url": "pages/varga-atkins-educators-guide-multimodal-learning-genai-2025.html"
-  },
   {
     "slug": "vetting-dual-llm-safety-education",
     "title": "VETTING: A dual-LLM framework for in-loop safety verification via policy isolation in educational AI",

pages/varga-atkins-educators-guide-multimodal-learning-genai-2025.html

@@ -45,11 +45,11 @@
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         <h1>🏷️ educator-guide</h1>
         <p>1 article(s) tagged with <strong>educator-guide</strong></p>
-        <div style="margin-bottom:1.25rem;background:rgba(0,0,0,0.02);padding:0.75rem 1rem;border-radius:8px;font-size:0.9rem;line-height:1.5;"><strong>1 article(s)</strong> on <strong>educator-guide</strong> in the AI-in-education wiki.<span style="font-size:0.8rem;color:var(--muted-color);"> · Category: Stakeholders</span><div style="margin-top:0.4rem;"><em>Related tags:</em> <a href="multimodal.html" style="display:inline-block;padding:0.1rem 0.45rem;margin:0.1rem 0.3rem 0.1rem 0;background:var(--primary);color:var(--primary-inverse);border-radius:4px;font-size:0.75rem;text-decoration:none;">multimodal</a><a href="generative-ai.html" style="display:inline-block;padding:0.1rem 0.45rem;margin:0.1rem 0.3rem 0.1rem 0;background:var(--primary);color:var(--primary-inverse);border-radius:4px;font-size:0.75rem;text-decoration:none;">generative-ai</a></div><div style="margin-top:0.4rem;"><em>Representative articles:</em> <a href="../pages/varga-atkins-educators-guide-multimodal-learning-genai-2025.html">Educator's Guide to Multimodal Learning with GenAI</a></div></div>
+        <div style="margin-bottom:1.25rem;background:rgba(0,0,0,0.02);padding:0.75rem 1rem;border-radius:8px;font-size:0.9rem;line-height:1.5;"><strong>1 article(s)</strong> on <strong>educator-guide</strong> in the AI-in-education wiki.<span style="font-size:0.8rem;color:var(--muted-color);"> · Category: Stakeholders</span><div style="margin-top:0.4rem;"><em>Related tags:</em> <a href="multimodal.html" style="display:inline-block;padding:0.1rem 0.45rem;margin:0.1rem 0.3rem 0.1rem 0;background:var(--primary);color:var(--primary-inverse);border-radius:4px;font-size:0.75rem;text-decoration:none;">multimodal</a><a href="generative-ai.html" style="display:inline-block;padding:0.1rem 0.45rem;margin:0.1rem 0.3rem 0.1rem 0;background:var(--primary);color:var(--primary-inverse);border-radius:4px;font-size:0.75rem;text-decoration:none;">generative-ai</a></div><div style="margin-top:0.4rem;"><em>Representative articles:</em> <a href="../pages/varga-atkins-educators-guide-multimodal-genai-2025.html">Educator's Guide to Multimodal Learning with GenAI</a></div></div>
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-            <h3><a href="../pages/varga-atkins-educators-guide-multimodal-learning-genai-2025.html">Educator's Guide to Multimodal Learning with GenAI</a></h3>
+            <h3><a href="../pages/varga-atkins-educators-guide-multimodal-genai-2025.html">Educator's Guide to Multimodal Learning with GenAI</a></h3>
             <div class="snippet">This is a stub pa Varga-Atkins (2025) offers an educator's guide to multimodal learning with GenAI — practical guidance for weaving image, audio, and text modalities into learning design, connecting the wiki's multimodal , generative-ai , and instructional-design threads with acc...</div>
             <div class="tags"><a href="generative-ai.html">generative-ai</a><a href="multimodal.html">multimodal</a></div>
         </div>