Analysis of Short-Term In-Service Training Courses Based on the CIPP Model؛ Providing AI-Based Solutions within the Framework of Educational Planning

Document Type : research article

Authors

1 Visiting professor at Farhangian University of Golestan province

2 University Lecturer, Farhangian University - Mazandaran

Abstract

Aim: This research examines and diagnoses short-term in-service teacher training courses from the perspective of educational planning and based on the CIPP evaluation model (Context, Input, Process, and Product). In addition, by utilizing artificial intelligence technology, it provides innovative solutions to improve the effectiveness of these courses.
Methodology: This study was conducted using a survey method, and the data were collected through a researcher-designed questionnaire. The statistical population consists of teachers who participated in in-service training programs from 2020 to 2022. The sample was selected using a stratified random sampling method, and the data were analyzed using statistical analyses.
Results: The results showed that the factors limiting the effectiveness of these courses include the mismatch between the content and the actual needs of teachers, weaknesses in needs assessment, and the lack of continuous supervision. The use of artificial intelligence in educational planning can enhance the effectiveness of these courses by facilitating accurate needs assessment, optimizing educational content, and providing real-time feedback.
Conclusions and suggestions: It is suggested that training courses be designed using artificial intelligence and based on the actual needs of teachers. Additionally, the creation of a digital platform for mentoring and coaching, along with a specialized center using a blended learning model, could assist teachers in continuous learning and accessing up-to-date content. These findings encourage educational managers to utilize modern technologies in educational planning to enhance the effectiveness of in-service training courses.
Innovation and originality: This research, by utilizing the CIPP model and artificial intelligence technology, innovatively evaluates and improves the effectiveness of in-service teacher training courses, providing a systematic framework for identifying educational needs and optimizing educational planning.

Keywords

Main Subjects

References

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Journal of Educational Planning Studies
Volume 13, Issue 26
March 2025
Pages 150-171

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History

  • Receive Date: 19 December 2024
  • Revise Date: 05 February 2025
  • Accept Date: 19 February 2025

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