ORCHESTRATING AND SCAFFOLDING KNOWLEDGE BUILDING WITH LEARNING ANALYTICS, ARTIFICIAL INTELLIGENCE AND COLLABORATIVE TECHNOLOGIES
About This Course
Learners will be able to:
1. Explain concepts, principles and theories related to Knowledge building
2. Discuss the importance of fostering knowledge building communities in schools or organizations
3. Explore technologies supporting knowledge building, including computer-supported collaborative learning, learning analytics and artificial intelligence
4. Design knowledge building activities and appropriate learning environments aligned to school curricula or organization’s learning needs
5. Participate effectively as a knowledge builder
What You'll Learn
Entry Requirements
While there is no prerequisite for participants to take the individual courses, participants with background and /or experiences in one or more of the following areas will
better appreciate the course contents.
a) A good Bachelor’s degree from a recognised university
b) A teaching qualification such as the Postgraduate Diploma in Education or at least one year of work experience in educationc) Undergraduate diplomas and, in some cases, relevant working experience could also be considered on a case-by-case basis. This will include TOEFL or IELTS scores that meet the minimum scores required for entry into NIE programmes for international applicants whose graduate degrees are from non-English medium institutions.