A competency-based framework for IT teachers: enhancing professional skills through AI algorithms and digital tools

The rapid development of information technology has put forward higher requirements for teachers, and the traditional training model is difficult to meet the demand.The article constructs a teacher digital competency framework based on the ASTD model, realizes the division of teachers' professional competence, and explains the professional core connotation of teacher digital competency in detail.A personalized resource recommendation model for teachers is constructed using artificial intelligence technology, which provides accurate recommendations for teachers through candidate resource extraction and learning resource screening.At the same time, with the help of Google Cloud Services digital tools, the design of teachers' digital teaching and research activities was accomplished, and communication and cooperation with users in the virtual community was promoted.The combination of the two is integrated into the development of teachers' professional skills to enhance their teaching competence.The mean values of accuracy, applicability, timeliness, personalization, and diversity of learning resource recommendations under artificial intelligence technology ranged from 4.123 to 4.544, with good recommendation performance.The Google Cloud Services platform can promote teaching and research exchange activities among teachers.The use of artificial intelligence and digital tools makes teachers improve their professional skills in knowledge base, instructional design, teaching and research between 24.04% and 91.00%, and with their intervention, teacher competency shows significant improvement.

Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2025-04-16
DOI
https://doi.org/10.61091/jcmcc127a-418
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

A competency-based framework for IT teachers: enhancing professional skills through AI algorithms and digital tools

Journal of Combinatorial Mathematics and Combinatorial Computing
Online Learning and Analytics
article

A competency-based framework for IT teachers: enhancing professional skills through AI algorithms and digital tools

article en

Abstract

The rapid development of information technology has put forward higher requirements for teachers, and the traditional training model is difficult to meet the demand.The article constructs a teacher digital competency framework based on the ASTD model, realizes the division of teachers' professional competence, and explains the professional core connotation of teacher digital competency in detail.A personalized resource recommendation model for teachers is constructed using artificial intelligence technology, which provides accurate recommendations for teachers through candidate resource extraction and learning resource screening.At the same time, with the help of Google Cloud Services digital tools, the design of teachers' digital teaching and research activities was accomplished, and communication and cooperation with users in the virtual community was promoted.The combination of the two is integrated into the development of teachers' professional skills to enhance their teaching competence.The mean values of accuracy, applicability, timeliness, personalization, and diversity of learning resource recommendations under artificial intelligence technology ranged from 4.123 to 4.544, with good recommendation performance.The Google Cloud Services platform can promote teaching and research exchange activities among teachers.The use of artificial intelligence and digital tools makes teachers improve their professional skills in knowledge base, instructional design, teaching and research between 24.04% and 91.00%, and with their intervention, teacher competency shows significant improvement.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 127a
Quality Education
Openalex Percentile: Top 92%
Online Learning and Analytics
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