Design Reflective Practice Assessment Tools for Teacher on Learning Management System Using AI Adaptive Feedback (78897)

Session Information: Design, Implementation & Assessment of Innovative Technologies in Education
Session Chair: Ikhsan Ikhsan

Friday, 29 March 2024 10:15
Session: Session 1
Room: Room B (Live Stream)
Presentation Type: Live-Stream Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

This research introduces an innovative framework for enhancing teacher professional development at ICE Institute 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 analyze 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.

Ikhsan Ikhsan, Open University, Indonesia
Muhammad Ashar, Universitas Negeri Malang, Indonesia
Husni Hanafi, Digistar Research institute, Indonesia
Ichwan Ichwan, Open University, Indonesia
Kadarisman Kadarisman, Open University, Indonesia

About the Presenter(s)
Dr. Ikhsan Ikhsan is an Associate Professor in Universitas Terbuka (Open/Distance University) and ICE Institute in Indonesai.

Connect on Linkedin

Connect on ResearchGate

Additional website of interest

See this presentation on the full scheduleFriday Schedule

Conference Comments & Feedback

Place a comment using your LinkedIn profile


Share on activity feed

Powered by WP LinkPress

Share this Presentation

Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00