Foreword to Machine Didactics

Descendants (at least 12 branches originate here)

• Foreword to Machine Didactics

  • is_parent HMPL

    Human–Machine Peer Learning (HMPL) is a proposal that is positioned at the very frontier between educational, cognitive, and computer sciences. HMPL's cor

    • is_parent Human learning

      Human learning is a complex, multifaceted process that encompasses the acquisition, understanding, and application of knowledge and skills. It involves various

      • unfold further branches…
    • is_parent Machine learning ·

      Machine learning is a subset of artificial intelligence focused on developing algorithms that enable computers to learn and make decisions from data without bei
    • is_parent HMPL ·

      A human-machine peer learning curriculum (i.e., a HMPL-C) is a planned sequence of educational instructions–i.e., a curriculum–which involves:1. At least one hu
    • is_parent Caution ! ·

      On the material level, human biochemistry-based learning is fundamentally different from machine learning taking place on silicon-based transistors.
  • is_parent Vocabulary learning ·

    Front. Educ., 2023Sec. Digital EducationVolume 8 - 2023 | https://doi.org/10.3389/feduc.2023.1063337Proof-of-concept of feasibility of human–machine peer learni
  • is_parent Reading acquisition ·

    In the second Hromada & Kim (2023) article, we describe first, syllable-oriented exercise by means of which the Primer aimed to assist one 5-year-old pre-school
  • is_parent Prolog ·
  • is_parent AIED 2022 paper ·
  • is_parent Au revoir, ECDF ·
  • is_parent Teaser ·

    Next talk:  Make Your Own Not-so-large-language-model  @ State Of The Art(s)_ GenAI Applied _July 5th from 17:00-18:45 at Gallerie at Medienhaus (Grun