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#aied — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #aied, aggregated by home.social.

  1. Will Berard 🫳🎤🫶 @[email protected] ·

    I'd have gone for 'selling surveillance wine in student support bottles' but then again, I'm French.

    University AI policies ‘promise support but deliver surveillance’
    archive.ph/2026.05.21-024709/h

    #AI #HE #Universities #AIEd #TimesHigherEducation

    @edutooter

    #ai #he #universities #aied #timeshighereducation
  2. Will Berard 🫳🎤🫶 @[email protected] ·

    I'd have gone for 'selling surveillance wine in student support bottles' but then again, I'm French.

    University AI policies ‘promise support but deliver surveillance’
    archive.ph/2026.05.21-024709/h

    #AI #HE #Universities #AIEd #TimesHigherEducation

    @edutooter

    #ai #he #universities #aied #timeshighereducation
  3. Will Berard 🫳🎤🫶 @[email protected] ·

    I'd have gone for 'selling surveillance wine in student support bottles' but then again, I'm French.

    University AI policies ‘promise support but deliver surveillance’
    archive.ph/2026.05.21-024709/h

    #AI #HE #Universities #AIEd #TimesHigherEducation

    @edutooter

    #timeshighereducation #aied #universities #he #ai
  4. Will Berard 🫳🎤🫶 @[email protected] ·

    I'd have gone for 'selling surveillance wine in student support bottles' but then again, I'm French.

    University AI policies ‘promise support but deliver surveillance’
    archive.ph/2026.05.21-024709/h

    #AI #HE #Universities #AIEd #TimesHigherEducation

    @edutooter

    #ai #he #universities #aied #timeshighereducation
  5. Doug Holton @[email protected] ·

    Some recent #AIEd articles:
    * PromptDecipher: AI Tutor Authoring Through Editable Simulated Interactions arxiv.org/abs/2605.16605 Source code: anonymous.4open.science/r/teac
    * Tutoring Agents Struggle Where Feedback Matters Most arxiv.org/abs/2605.16207v1
    * Modeling AI-TPACK in Practice arxiv.org/abs/2605.13906
    * Validating AI-Generated Classroom Observations sciencedirect.com/science/arti
    * Simulating Students or Sycophantic Problem Solving? arxiv.org/abs/2605.12748
    #EdTech

    #aied #edtech
  6. Will Berard 🫳🎤🫶 @[email protected] ·

    You can imagine AI companies as a short, ratty-mustache guy in a double breasted suit, accompanied by a brick shithouse of a Chatbot, looking around your university, saying 'Nice higher education system you got there. Would be a shame if someone were to...disrupt it...'

    #AIED #HE #universities #generativeAI

    #aied #he #universities #generativeai
  7. Will Berard 🫳🎤🫶 @[email protected] ·

    You can imagine AI companies as a short, ratty-mustache guy in a double breasted suit, accompanied by a brick shithouse of a Chatbot, looking around your university, saying 'Nice higher education system you got there. Would be a shame if someone were to...disrupt it...'

    #AIED #HE #universities #generativeAI

    #aied #he #universities #generativeai
  8. Will Berard 🫳🎤🫶 @[email protected] ·

    You can imagine AI companies as a short, ratty-mustache guy in a double breasted suit, accompanied by a brick shithouse of a Chatbot, looking around your university, saying 'Nice higher education system you got there. Would be a shame if someone were to...disrupt it...'

    #AIED #HE #universities #generativeAI

    #generativeai #universities #he #aied
  9. Will Berard 🫳🎤🫶 @[email protected] ·

    You can imagine AI companies as a short, ratty-mustache guy in a double breasted suit, accompanied by a brick shithouse of a Chatbot, looking around your university, saying 'Nice higher education system you got there. Would be a shame if someone were to...disrupt it...'

    #AIED #HE #universities #generativeAI

    #aied #he #universities #generativeai
  10. Doug Holton @[email protected] ·

    Self-reported measures (surveys) are often not correlated or even negatively correlated w/more objective measures (such as observations, scenario/performance assessments). Examples:
    * Teacher AI literacy arxiv.org/abs/2601.06101
    * Applying professional development to the classroom academic.oup.com/bioscience/ar
    * AI cognitive offloading goedel.io/p/the-machine-that-s
    * Student learning from teaching pnas.org/doi/10.1073/pnas.1821
    * And grades link.springer.com/article/10.1
    * TPACK osf.io/preprints/psyarxiv/bhqx
    #EdDev #AIEd

    #eddev #aied
  11. Doug Holton @[email protected] ·

    Self-reported measures (surveys) are often not correlated or even negatively correlated w/more objective measures (such as observations, scenario/performance assessments). Examples:
    * Teacher AI literacy arxiv.org/abs/2601.06101
    * Applying professional development to the classroom academic.oup.com/bioscience/ar
    * AI cognitive offloading goedel.io/p/the-machine-that-s
    * Student learning from teaching pnas.org/doi/10.1073/pnas.1821
    * And grades link.springer.com/article/10.1
    * TPACK osf.io/preprints/psyarxiv/bhqx
    #EdDev #AIEd

    #eddev #aied
  12. Doug Holton @[email protected] ·

    Self-reported measures (surveys) are often not correlated or even negatively correlated w/more objective measures (such as observations, scenario/performance assessments). Examples:
    * Teacher AI literacy arxiv.org/abs/2601.06101
    * Applying professional development to the classroom academic.oup.com/bioscience/ar
    * AI cognitive offloading goedel.io/p/the-machine-that-s
    * Student learning from teaching pnas.org/doi/10.1073/pnas.1821
    * And grades link.springer.com/article/10.1
    * TPACK osf.io/preprints/psyarxiv/bhqx
    #EdDev #AIEd

    #eddev #aied
  13. Doug Holton @[email protected] ·

    Self-reported measures (surveys) are often not correlated or even negatively correlated w/more objective measures (such as observations, scenario/performance assessments). Examples:
    * Teacher AI literacy arxiv.org/abs/2601.06101
    * Applying professional development to the classroom academic.oup.com/bioscience/ar
    * AI cognitive offloading goedel.io/p/the-machine-that-s
    * Student learning from teaching pnas.org/doi/10.1073/pnas.1821
    * And grades link.springer.com/article/10.1
    * TPACK osf.io/preprints/psyarxiv/bhqx
    #EdDev #AIEd

    #aied #eddev
  14. Doug Holton @[email protected] ·

    Self-reported measures (surveys) are often not correlated or even negatively correlated w/more objective measures (such as observations, scenario/performance assessments). Examples:
    * Teacher AI literacy arxiv.org/abs/2601.06101
    * Applying professional development to the classroom academic.oup.com/bioscience/ar
    * AI cognitive offloading goedel.io/p/the-machine-that-s
    * Student learning from teaching pnas.org/doi/10.1073/pnas.1821
    * And grades link.springer.com/article/10.1
    * TPACK osf.io/preprints/psyarxiv/bhqx
    #EdDev #AIEd

    #eddev #aied
  15. Doug Holton @[email protected] ·

    Designing a mobile chatbot-based learning journaling system for intrinsic motivation and engagement link.springer.com/article/10.1... #AIEd #Education #EdTech

    Designing a mobile chatbot-bas...

    #aied #education #edtech
  16. Doug Holton @[email protected] ·

    Designing a mobile chatbot-based learning journaling system for intrinsic motivation and engagement
    link.springer.com/article/10.1
    #AIEd #Education #EdTech

    #edtech #aied #education
  17. Doug Holton @[email protected] ·

    Designing a mobile chatbot-based learning journaling system for intrinsic motivation and engagement
    link.springer.com/article/10.1
    #AIEd #Education #EdTech

    #aied #education #edtech
  18. Doug Holton @[email protected] ·

    Designing a mobile chatbot-based learning journaling system for intrinsic motivation and engagement
    link.springer.com/article/10.1
    #AIEd #Education #EdTech

    #edtech #aied #education
  19. Doug Holton @[email protected] ·

    Designing a mobile chatbot-based learning journaling system for intrinsic motivation and engagement
    link.springer.com/article/10.1
    #AIEd #Education #EdTech

    #edtech #education #aied
  20. Doug Holton @[email protected] ·

    Designing a mobile chatbot-based learning journaling system for intrinsic motivation and engagement
    link.springer.com/article/10.1
    #AIEd #Education #EdTech

    #edtech #aied #education
  21. Doug Holton @[email protected] ·

    The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows
    arxiv.org/abs/2604.14807
    "a cognitive attribution error in which individuals misinterpret LLM-assisted outputs as evidence of their own independent competence, producing a systematic divergence between perceived and actual capability"
    #AIEd #psy #hci #LLM

    #aied #psy #hci #llm
  22. Doug Holton @[email protected] ·

    The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows
    arxiv.org/abs/2604.14807
    "a cognitive attribution error in which individuals misinterpret LLM-assisted outputs as evidence of their own independent competence, producing a systematic divergence between perceived and actual capability"
    #AIEd #psy #hci #LLM

    #aied #psy #hci #llm
  23. Doug Holton @[email protected] ·

    The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows
    arxiv.org/abs/2604.14807
    "a cognitive attribution error in which individuals misinterpret LLM-assisted outputs as evidence of their own independent competence, producing a systematic divergence between perceived and actual capability"
    #AIEd #psy #hci #LLM

    #aied #psy #hci #llm
  24. Doug Holton @[email protected] ·

    The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows
    arxiv.org/abs/2604.14807
    "a cognitive attribution error in which individuals misinterpret LLM-assisted outputs as evidence of their own independent competence, producing a systematic divergence between perceived and actual capability"
    #AIEd #psy #hci #LLM

    #llm #hci #psy #aied
  25. Doug Holton @[email protected] ·

    The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows
    arxiv.org/abs/2604.14807
    "a cognitive attribution error in which individuals misinterpret LLM-assisted outputs as evidence of their own independent competence, producing a systematic divergence between perceived and actual capability"
    #AIEd #psy #hci #LLM

    #aied #psy #hci #llm
  26. Doug Holton @[email protected] ·

    SafeTutors: Benchmarking Pedagogical Safety in AI Tutoring Systems arxiv.org/abs/2603.17373 "risk is answer over-disclosure, misconception reinforcement, and the abdication of scaffolding" "multi-turn dialogue worsens behavior, with pedagogical failures rising from 17.7% to 77.8%." #AIEd #EdTech

    SafeTutors: Benchmarking Pedag...

    #aied #edtech
  27. Doug Holton @[email protected] ·

    SafeTutors: Benchmarking Pedagogical Safety in AI Tutoring Systems
    arxiv.org/abs/2603.17373
    "the primary risk is not toxic content but the quiet erosion of learning through answer over-disclosure, misconception reinforcement, and the abdication of scaffolding"
    "We uncover that all models show broad harm; scale doesn't reliably help; and multi-turn dialogue worsens behavior, with pedagogical failures rising from 17.7% to 77.8%."
    #AIEd #EdTech

    #aied #edtech
  28. Doug Holton @[email protected] ·

    SafeTutors: Benchmarking Pedagogical Safety in AI Tutoring Systems
    arxiv.org/abs/2603.17373
    "the primary risk is not toxic content but the quiet erosion of learning through answer over-disclosure, misconception reinforcement, and the abdication of scaffolding"
    "We uncover that all models show broad harm; scale doesn't reliably help; and multi-turn dialogue worsens behavior, with pedagogical failures rising from 17.7% to 77.8%."
    #AIEd #EdTech

    #aied #edtech
  29. Doug Holton @[email protected] ·

    SafeTutors: Benchmarking Pedagogical Safety in AI Tutoring Systems
    arxiv.org/abs/2603.17373
    "the primary risk is not toxic content but the quiet erosion of learning through answer over-disclosure, misconception reinforcement, and the abdication of scaffolding"
    "We uncover that all models show broad harm; scale doesn't reliably help; and multi-turn dialogue worsens behavior, with pedagogical failures rising from 17.7% to 77.8%."
    #AIEd #EdTech

    #aied #edtech
  30. Doug Holton @[email protected] ·

    SafeTutors: Benchmarking Pedagogical Safety in AI Tutoring Systems
    arxiv.org/abs/2603.17373
    "the primary risk is not toxic content but the quiet erosion of learning through answer over-disclosure, misconception reinforcement, and the abdication of scaffolding"
    "We uncover that all models show broad harm; scale doesn't reliably help; and multi-turn dialogue worsens behavior, with pedagogical failures rising from 17.7% to 77.8%."
    #AIEd #EdTech

    #edtech #aied
  31. Doug Holton @[email protected] ·

    SafeTutors: Benchmarking Pedagogical Safety in AI Tutoring Systems
    arxiv.org/abs/2603.17373
    "the primary risk is not toxic content but the quiet erosion of learning through answer over-disclosure, misconception reinforcement, and the abdication of scaffolding"
    "We uncover that all models show broad harm; scale doesn't reliably help; and multi-turn dialogue worsens behavior, with pedagogical failures rising from 17.7% to 77.8%."
    #AIEd #EdTech

    #aied #edtech
  32. Doug Holton @[email protected] ·

    EduQwen: Application-Driven Pedagogical Knowledge Optimization of Open-Source LLMs via Reinforcement Learning and Supervised Fine-Tuning
    arxiv.org/abs/2604.06385
    A fine-tuned open #LLM beats even Gemini on a #pedagogy benchmark. Unfortunately it doesn't appear to be released yet.
    #AIEd

    #llm #pedagogy #aied
  33. Doug Holton @[email protected] ·

    EduQwen: Application-Driven Pedagogical Knowledge Optimization of Open-Source LLMs via Reinforcement Learning and Supervised Fine-Tuning
    arxiv.org/abs/2604.06385
    A fine-tuned open #LLM beats even Gemini on a #pedagogy benchmark. Unfortunately it doesn't appear to be released yet.
    #AIEd

    #llm #pedagogy #aied
  34. Doug Holton @[email protected] ·

    EduQwen: Application-Driven Pedagogical Knowledge Optimization of Open-Source LLMs via Reinforcement Learning and Supervised Fine-Tuning
    arxiv.org/abs/2604.06385
    A fine-tuned open #LLM beats even Gemini on a #pedagogy benchmark. Unfortunately it doesn't appear to be released yet.
    #AIEd

    #llm #pedagogy #aied
  35. Doug Holton @[email protected] ·

    EduQwen: Application-Driven Pedagogical Knowledge Optimization of Open-Source LLMs via Reinforcement Learning and Supervised Fine-Tuning
    arxiv.org/abs/2604.06385
    A fine-tuned open #LLM beats even Gemini on a #pedagogy benchmark. Unfortunately it doesn't appear to be released yet.
    #AIEd

    #aied #pedagogy #llm
  36. Doug Holton @[email protected] ·

    EduQwen: Application-Driven Pedagogical Knowledge Optimization of Open-Source LLMs via Reinforcement Learning and Supervised Fine-Tuning
    arxiv.org/abs/2604.06385
    A fine-tuned open #LLM beats even Gemini on a #pedagogy benchmark. Unfortunately it doesn't appear to be released yet.
    #AIEd

    #llm #pedagogy #aied
  37. Doug Holton @[email protected] ·

    ISD-Agent-Bench: A Comprehensive Benchmark for Evaluating LLM-based Instructional Design Agents arxiv.org/abs/2602.10620 Code & data: github.com/codingchild2... Also: Pedagogy-R1: Pedagogical Reasoning Model and Educational Benchmark dl.acm.org/doi/10.1145/... #AIEd #LearningDesign #EdTech

    ISD-Agent-Bench: A Comprehensi...

    #aied #learningdesign #edtech
  38. Doug Holton @[email protected] ·

    ISD-Agent-Bench: A Comprehensive Benchmark for Evaluating LLM-based Instructional Design Agents
    arxiv.org/abs/2602.10620
    Code & data: github.com/codingchild2424/isd
    "benchmark comprising 25,795 scenarios that combines 51 contextual variables across 5 categories with 33 ISD sub-steps derived from the ADDIE model."

    w/same author: Pedagogy-R1: Pedagogical Large Reasoning Model and Well-balanced Educational Benchmark dl.acm.org/doi/10.1145/3746252
    #AIEd #LearningDesign #AIevaluation #EdTech

    #aied #learningdesign #aievaluation #edtech
  39. Doug Holton @[email protected] ·

    ISD-Agent-Bench: A Comprehensive Benchmark for Evaluating LLM-based Instructional Design Agents
    arxiv.org/abs/2602.10620
    Code & data: github.com/codingchild2424/isd
    "benchmark comprising 25,795 scenarios that combines 51 contextual variables across 5 categories with 33 ISD sub-steps derived from the ADDIE model."

    w/same author: Pedagogy-R1: Pedagogical Large Reasoning Model and Well-balanced Educational Benchmark dl.acm.org/doi/10.1145/3746252
    #AIEd #LearningDesign #AIevaluation #EdTech

    #aied #learningdesign #aievaluation #edtech
  40. Doug Holton @[email protected] ·

    ISD-Agent-Bench: A Comprehensive Benchmark for Evaluating LLM-based Instructional Design Agents
    arxiv.org/abs/2602.10620
    Code & data: github.com/codingchild2424/isd
    "benchmark comprising 25,795 scenarios that combines 51 contextual variables across 5 categories with 33 ISD sub-steps derived from the ADDIE model."

    w/same author: Pedagogy-R1: Pedagogical Large Reasoning Model and Well-balanced Educational Benchmark dl.acm.org/doi/10.1145/3746252
    #AIEd #LearningDesign #AIevaluation #EdTech

    #aied #learningdesign #aievaluation #edtech
  41. Doug Holton @[email protected] ·

    ISD-Agent-Bench: A Comprehensive Benchmark for Evaluating LLM-based Instructional Design Agents
    arxiv.org/abs/2602.10620
    Code & data: github.com/codingchild2424/isd
    "benchmark comprising 25,795 scenarios that combines 51 contextual variables across 5 categories with 33 ISD sub-steps derived from the ADDIE model."

    w/same author: Pedagogy-R1: Pedagogical Large Reasoning Model and Well-balanced Educational Benchmark dl.acm.org/doi/10.1145/3746252
    #AIEd #LearningDesign #AIevaluation #EdTech

    #edtech #aievaluation #learningdesign #aied
  42. Doug Holton @[email protected] ·

    ISD-Agent-Bench: A Comprehensive Benchmark for Evaluating LLM-based Instructional Design Agents
    arxiv.org/abs/2602.10620
    Code & data: github.com/codingchild2424/isd
    "benchmark comprising 25,795 scenarios that combines 51 contextual variables across 5 categories with 33 ISD sub-steps derived from the ADDIE model."

    w/same author: Pedagogy-R1: Pedagogical Large Reasoning Model and Well-balanced Educational Benchmark dl.acm.org/doi/10.1145/3746252
    #AIEd #LearningDesign #AIevaluation #EdTech

    #aied #learningdesign #aievaluation #edtech
  43. Doug Holton @[email protected] ·

    Agentic Workflows in Education arxiv.org/abs/2504.200... Examples: * DeepTutor github.com/HKUDS/DeepTu... * OpenMAIC github.com/THU-MAIC/Ope... * liacript github.com/LiaScript/te... * Claude skills github.com/GarethMannin... github.com/narosemena/m... * Claw-ED github.com/SirhanMacx/C... #AIEd

    #aied
  44. Doug Holton @[email protected] ·

    Examples of using #AIagent systems in education:
    * Evolution of AI in Education: Agentic Workflows arxiv.org/abs/2504.20082v2
    * DeepTutor github.com/HKUDS/DeepTutor
    * OpenMAIC multi agent classroom github.com/THU-MAIC/OpenMAIC
    * liacript teaching agent github.com/LiaScript/teaching-
    * Claude education skills
    github.com/GarethManning/claud
    github.com/narosemena/master-i
    * Claw-ED github.com/SirhanMacx/Claw-ED
    * CODE-GEN mc question generator arxiv.org/abs/2604.03926
    #AIEd #AIeducation #EdTech

    #aiagent #aied #edtech #aieducation
  45. Doug Holton @[email protected] ·

    Examples of using #AIagent systems in education:
    * Evolution of AI in Education: Agentic Workflows arxiv.org/abs/2504.20082v2
    * DeepTutor github.com/HKUDS/DeepTutor
    * OpenMAIC multi agent classroom github.com/THU-MAIC/OpenMAIC
    * liacript teaching agent github.com/LiaScript/teaching-
    * Claude education skills
    github.com/GarethManning/claud
    github.com/narosemena/master-i
    * Claw-ED github.com/SirhanMacx/Claw-ED
    * CODE-GEN mc question generator arxiv.org/abs/2604.03926
    #AIEd #AIeducation #EdTech

    #aiagent #aied #edtech #aieducation
  46. Doug Holton @[email protected] ·

    Examples of using #AIagent systems in education:
    * Evolution of AI in Education: Agentic Workflows arxiv.org/abs/2504.20082v2
    * DeepTutor github.com/HKUDS/DeepTutor
    * OpenMAIC multi agent classroom github.com/THU-MAIC/OpenMAIC
    * liacript teaching agent github.com/LiaScript/teaching-
    * Claude education skills
    github.com/GarethManning/claud
    github.com/narosemena/master-i
    * Claw-ED github.com/SirhanMacx/Claw-ED
    * CODE-GEN mc question generator arxiv.org/abs/2604.03926
    #AIEd #AIeducation #EdTech

    #aiagent #aied #edtech #aieducation
  47. Doug Holton @[email protected] ·

    Examples of using #AIagent systems in education:
    * Evolution of AI in Education: Agentic Workflows arxiv.org/abs/2504.20082v2
    * DeepTutor github.com/HKUDS/DeepTutor
    * OpenMAIC multi agent classroom github.com/THU-MAIC/OpenMAIC
    * liacript teaching agent github.com/LiaScript/teaching-
    * Claude education skills
    github.com/GarethManning/claud
    github.com/narosemena/master-i
    * Claw-ED github.com/SirhanMacx/Claw-ED
    * CODE-GEN mc question generator arxiv.org/abs/2604.03926
    #AIEd #AIeducation #EdTech

    #aieducation #edtech #aied #aiagent
  48. Doug Holton @[email protected] ·

    Examples of using #AIagent systems in education:
    * Evolution of AI in Education: Agentic Workflows arxiv.org/abs/2504.20082v2
    * DeepTutor github.com/HKUDS/DeepTutor
    * OpenMAIC multi agent classroom github.com/THU-MAIC/OpenMAIC
    * liacript teaching agent github.com/LiaScript/teaching-
    * Claude education skills
    github.com/GarethManning/claud
    github.com/narosemena/master-i
    * Claw-ED github.com/SirhanMacx/Claw-ED
    * CODE-GEN mc question generator arxiv.org/abs/2604.03926
    #AIEd #AIeducation #EdTech

    #aiagent #aied #edtech #aieducation
  49. Doug Holton @[email protected] ·

    Knowledge graphs are useful representations for knowledge bases, #pkm, #AImemory systems, #GraphRAG, intelligent tutoring systems, etc., and usually implemented in graph databases. LadybugDB, a fork of the discontinued Kuzu, is a lightweight embedded (like SQLite) graph database: github.com/LadybugDB/ladybug
    Sample applications in development: github.com/inventivepotter/dot & github.com/tejzpr/Smriti-MCP
    See also Grafeo: github.com/GrafeoDB/grafeo
    #AIEd #AIEngineering #KnowledgeGraph #GraphDB #graphdatabase

    #knowledgegraph #graphdb #graphdatabase #pkm #aimemory #graphrag
  50. Doug Holton @[email protected] ·

    Knowledge graphs are useful representations for knowledge bases, #pkm, #AImemory systems, #GraphRAG, intelligent tutoring systems, etc., and usually implemented in graph databases. LadybugDB, a fork of the discontinued Kuzu, is a lightweight embedded (like SQLite) graph database: github.com/LadybugDB/ladybug
    Sample applications in development: github.com/inventivepotter/dot & github.com/tejzpr/Smriti-MCP
    See also Grafeo: github.com/GrafeoDB/grafeo
    #AIEd #AIEngineering #KnowledgeGraph #GraphDB #graphdatabase

    #pkm #aimemory #graphrag #aied #aiengineering #knowledgegraph