This course explores how educators should design blended learning as a new mode of education rather than simply moving the onsite learning materials and delivery online or vice versa. In an era increasingly shaped by AI, this requires understanding blended learning not as a combination of technologies and in-person delivery, but as a coherent, pedagogically intentional ecosystem in which digital, physical, and AI-driven components work together to support deep and meaningful learning. The key to designing blended learning is the use of online collaborative technologies and AI-powered tools. These tools include learning management systems, wikis, webinars, image repositories, and document sharing, alongside an emerging generation of AI-enhanced tools such as adaptive learning systems, intelligent tutoring systems, and AI-generated feedback platforms. The course further examines how AI is reshaping professional development for educators, offering new capacities for personalised coaching, reflective practice, and evidence-informed decision-making that extend learning beyond the physical classroom.
A. Critically examine and articulate the foundational concepts, practices, and technological dimensions of blended learning, including the role of Artificial Intelligence (AI) as an emerging paradigm in educational design and delivery. B. Design and implement blended learning experiences that are purposeful, context-sensitive, and pedagogically sound to meet the needs of diverse learners. C. Critically evaluate and iteratively develop blended learning practices across varied educational settings, with a focus on AI + Research-Led Project-based Learning (RLPBL) contexts, assessing the pedagogical effectiveness and ethical implications of AI integration in blended instruction.
Research-Led Project-Based Learning (RLPBL) methods will be implemented in a combination of lectures and tutorials throughout the semester. Lectures will introduce and explore key concepts and theoretical frameworks in blended learning, preparing students to work collaboratively in tackling real-world issues. The tutorials will provide students with a variety of digital tools, including AI-powered platforms, alongside practical guides for their integration in project work. Students will take the initiative to plan, develop, test, and improve their projects in consultation with their peers, faculty, and AI empowered technologies. Multiple methods will be used in teaching and learning such as online and onsite blended learning, e-learning, flipped classroom, AI + Research Led Project-based Learning (AI+RLPBL), and design-based inquiry. Both formative and summative assessments will be utilised, with oral and written feedback provided by faculty and peers.