Using Big Data to ‘Teach Precisely, Learn Efficiently’ to further Develop One-stop Learning Management System and eLearning Resources to Cater for Different Learning Needs

Overview

In this seminar, the speaker will share how to develop and implement an e-learning platform and resources that can cater to the diverse learning needs of students according to school development. Through comprehensive data analysis, how participants can connect curriculum learning points to daily eLearning, and further strengthen the assessment elements in the 'learning, teaching, and assessment' cycle. The speaker will introduce about how to continuously promote the application of eLearning for students with special learning needs, and promote the professional development of teachers. English self-learning games that are suitable for teaching students with dyslexia will also be shared. The plan can promote cross-disciplinary collaboration to drive the development of edtech in Hong Kong, strengthen the eLearning platform, make good use of the functions of the EdCity, and promote the professional development of teachers.
The teaching plan can also promote teacher-student and student-student interactions, and drive student-directed learning and strengthen the application of assessment data, laying the foundation for the education sector's future use of big data, machine learning, and artificial intelligence. Outcomes with other schools/organisations will be shared, embodying the principle of 'Co-creation, Sharing, and Inclusion', and bringing benefits to the education sector.

Participants of this seminar will understand:
1. how to develop eLearning materials that are aligned with assessment and learning objectives;
2. how to establish a data analysis platform.
3. how to develop personalised self-learning courses that cater to diverse student needs and learning styles can enhance self-directed learning and engagement.