Kastalia Knowledge Management System · Glasperlenspiel template · knot 1156

HMPL

🌐 public · created AE531122 (22.11.2023) · by DDH · open in the standard editor view · 📽 open as presentation

baumhaus.digital/Miscellanous/Presentations/AE53/oeb.global/Human-Machine Peer Learning (HMPL): What and Why?/HMPL
Human–Machine Peer Learning (HMPL) is a proposal that is positioned at the very frontier between educational, cognitive, and computer sciences. HMPL's core precepts which I introduced in my 2022 and 2023 papers are simple:

Humans and machines can learn together.
Humans and machines can learn from each other.

Ancestors (2 superordinated paths)

Descendants (at least 8 branches originate here)

  • 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
      • is_parent Peer learning
        Peer learning is an educational approach where individuals learn from and with each other. This concept is rooted in the idea that learning is a social and coll
        • is_parent Montessori ·
          In Montessori classrooms, children of different ages are often grouped together. This setting naturally facilitates peer learning, where older children can teac
        • is_parent Vygotsky ·
          In Vygotsky's view, peer learning is crucial. Peers can act as the more knowledgeable other within the Zone of Proximal Development, facilitating learning and s
    • 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.