eLAFP 1st Administrative Meeting for the 2024/25 Academic Year

During the meeting held on September 27, 2024, several vital topics were discussed regarding the e-learning platform's current status and future improvements. A key focus was the enhancement of platform usability and its integration with other e-learning systems, such as WebSAMs, to ensure a seamless user experience. Additionally, there were significant concerns surrounding data security and privacy, with teachers emphasizing the necessity for robust measures to safeguard user data from potential breaches. The integration of AI and big data emerged as a top priority, with discussions centered on how these technologies could facilitate tasks like automated grading, create personalized learning reports, and assist in content generation, ultimately leading to a more customized learning experience for students.

Teachers provided valuable feedback which underscored the continuity of using iClass from the previous academic year, necessitating only a simple update of the Excel sheet to proceed. However, they noted the current limitations of AI functionality, particularly regarding its inability to recognize tones in poetry, and highlighted the need for alternative input methods, such as voice or handwriting, for primary students who may struggle with typing. Furthermore, it was clarified that the AI would evaluate essays based on the language of composition—correcting in either Chinese or English as appropriate.

Looking ahead, there is an expectation for the introduction of customizable marking schemes in the "Resource Center," enabling teachers to develop their own rubrics tailored to their instructional needs. At present, students do not have access to AI tools for self-checking their work prior to submission, but future updates may allow teachers to permit this functionality. While current implementations do not impose limitations on AI tool usage, there is potential for a token system to be established for accessing certain features. Lastly, there was an inquiry about the AI’s capabilities in generating charts or summaries of student scores; it was noted that individual grading methods are utilized and a rubric feature will be available to facilitate personalized score percentages. Overall, the meeting underscored a collective commitment to refining the platform, ensuring it effectively supports both teaching and learning objectives in a secure and user-friendly manner.