A Rudimentary Progression Model for Artificial Intelligence in Education Competencies and Skills

Petros Lameras, Iraklis Paraskakis, Stathis Konstantinidis

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

Abstract

Artificial Intelligence in Education is progressing with accelerated pace, and this impacts the role of the teacher in becoming catalyst in designing and orchestrating teaching and learning with the use of AI-based systems. This study proposes a rudimentary competency framework with an associated progression model that aims to help teachers to plan, develop, self-assess, and reflect on existing and new competencies for teaching and learning through AI-based systems. The framework encompasses six competency themes along with six relational and inclusive descriptors of competency progression levels that may be used either as standalone or as a concerted set of competencies for enabling complete and holistic conceptualisations, and utilizations of competencies and capabilities that teachers may envisage to develop for making the leap into adaptive and automated AI-based teaching and learning. The AIED Comp framework may inform computational representation models and algorithms that focus on teacher-facing AIED applications and tools for gaining insights on skills and capabilities teachers may employ for innovating in their classroom.
Original languageEnglish
Title of host publicationNew Realities, Mobile Systems and Applications - Proceedings of the 14th IMCL Conference
Subtitle of host publicationProceedings of the 14th IMCL Conference
EditorsMichael E Auer, Thrasyvoulos Tsiatsos
PublisherSpringer
Pages927-936
Number of pages10
Edition1
ISBN (Electronic)978-3-030-96296-8
ISBN (Print)978-3-030-96295-1
DOIs
Publication statusPublished - 2022
Event14th International Conference on Interactive Mobile Communication, Technologies and Learning - Virtual, Thessaloniki, Greece
Duration: 4 Nov 20215 Nov 2021
Conference number: 14

Publication series

NameLecture Notes in Networks and Systems
PublisherSpringer
Volume411

Conference

Conference14th International Conference on Interactive Mobile Communication, Technologies and Learning
Abbreviated titleIMCL 2021
Country/TerritoryGreece
CityThessaloniki
Period4/11/215/11/21

Keywords

  • Artificial Intelligence in Education (AIED)
  • AIED competencies
  • Teaching and learning
  • Progression model
  • Teachers

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