Design Reflective Practice Assessment Tools for Teacher on Learning Management System Using AI Adaptive Feedback


This research introduces an innovative framework for enhancing teacher professional development at ICE Institute and open university through the integration of artificial intelligence (AI) into reflective practice assessment tools within the Learning Management System (LMS). The primary goal is to offer educators personalized and data-driven insights to refine their instructional practices and foster continuous improvement. The proposed reflective assessment tool employs AI algorithms to systematically collect and analyse data, including student performance, engagement metrics, and interaction patterns specific to the open and distance education context. The AI-driven adaptive feedback system provides real- time, personalized feedback, emphasizing strengths, pinpointing areas for improvement, and suggesting targeted instructional strategies. Seamlessly integrated into the ICE Institute LMS, the user-friendly interface features a visual analytics dashboard, benchmarking capabilities, and direct access to professional development resources. The tool encourages teachers to formulate individualized continuous improvement plans based on the feedback, ensuring a tailored approach to professional growth. Privacy and ethical considerations are paramount, aligning the tool with ICE Institute commitment to data security and ethical AI use. The scalability of the tool facilitates widespread adoption, fostering a collaborative community of educators dedicated to refining teaching practices within the unique context of open and distance education. This research represents a significant advancement in leveraging AI to elevate reflective practices among teachers at ICE Institute, ultimately enhancing the quality of education delivery in the digital learning landscape.

Author Information
Ikhsan, Universitas Terbuka, Indonesia
Muhammad Ashar, State University of Malang, Indonesia
Akhmad Khanafi Mashudi, State University of Malang, Indonesia
Ichwan, Universitas Terbuka, Indonesia
Kadarisman, Universitas Terbuka, Indonesia
Muhammad Iqbal Akbar, State University of Malang, Indonesia

Paper Information
Conference: ACEID2024
Stream: Design

This paper is part of the ACEID2024 Conference Proceedings (View)
Full Paper
View / Download the full paper in a new tab/window

To cite this article:
Ikhsan ., Ashar M., Mashudi A., Ichwan ., Kadarisman ., & Akbar M. (2024) Design Reflective Practice Assessment Tools for Teacher on Learning Management System Using AI Adaptive Feedback ISSN: 2189-101X – The Asian Conference on Education & International Development 2024 Official Conference Proceedings
To link to this article:

Comments & Feedback

Place a comment using your LinkedIn profile


Share on activity feed

Powered by WP LinkPress

Share this Research

Posted by James Alexander Gordon