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#learningdesign — Public Fediverse posts

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

  1. 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...

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. I have recently fallen in love with the #roguelike and #roguelite genres of #videogames.

    I’m especially interested in their powerful effects on #motivation, inspiring players to try-fail-try again-succeed, which is the holy grail for #instructionaldesign and #teaching more broadly.

    I’d love to hear from #gamedevs and other #learningdesign pros who have explored integrating #rogueish mechanics in #learning, #seriousgames, and/or know of any #psychology #research connecting the two. Thanks!

  8. Can you predict student performance in a course just by looking at the #syllabus?
    Course Organization (clarity of navigation, components) is associated w/.15 increase in letter grade (.48 for #URM students). Learning Objectives/Alignment associated w/.26 DECREASE in grades (.36 for low-income students) journals.plos.org/plosone/arti
    Perhaps related: 93% of intro #biology exam questions are low level (rote memorization) lifescied.org/doi/10.1187/cbe.
    #OnlineLearning #STEMeducation #EdResearch #LearningDesign

  9. Can you predict student performance in a course just by looking at the #syllabus?
    Course Organization (clarity of navigation, components) is associated w/.15 increase in letter grade (.48 for #URM students). Learning Objectives/Alignment associated w/.26 DECREASE in grades (.36 for low-income students) journals.plos.org/plosone/arti
    Perhaps related: 93% of intro #biology exam questions are low level (rote memorization) lifescied.org/doi/10.1187/cbe.
    #OnlineLearning #STEMeducation #EdResearch #LearningDesign