In-service Teaching Assistant Training (InsTAT) for engineering and computer science graduate students in Hong Kong: A blended-learning approach

Keyphrases

• Active Learning Strategies 33%
• Assistant Training 100%
• Blended Learning Environment 100%
• Buddy System 33%
• Chinese Mainland 33%
• City University of Hong Kong 33%
• Comment Data 33%
• Computer Science 100%
• Decision Maker 33%
• Electronic Learning 33%
• Engagement Team 33%
• Engineering Science 100%
• English as a Medium of Instruction 33%
• Feedback Data 33%
• Graduate Studies 66%
• Hong Kong 100%
• In-service Teaching 100%
• Innovative Approach 33%
• Junior Faculty 33%
• Learning Support 33%
• Learning Technologies 33%
• Limited Attention 33%
• Peer Mentoring 33%
• Plethora 33%
• Research Students 66%
• Role Transformation 33%
• Student Assignment 33%
• Student-centered Approach 33%
• Teacher-centered 33%
• Teaching Approaches 33%
• Teaching Experience 33%
• Teaching Support 33%
• Teaching-learning 33%
• Team Teaching 33%
• Tertiary Institutions 33%
• Training Course 33%

Social Sciences

• Chinese 33%
• Computer Science 100%
• Decision Maker 33%
• e-Learning 33%
• Engineering Science 100%
• Hong Kong 100%
• Learning Strategy 33%
• Student Research 66%
• Team Teaching 33%
• Training Course 33%