XJTLU Learning Mall

Centre for Educational Innovation and Excellence

Centre for Educational Innovation and Excellence at Learning Mall compiles high-quality articles from the staff of Xi'an Jiaotong-Liverpool University (XJTLU) and other Higher Educational Institutions based on research, teaching or professional service (PS) experiences on the following topics: technology-enhanced learning and teaching (L&T); technological tool applications in L&T&PS; pedagogical innovations in onsite/online/blended education; problems in online/blended education with thoughts and suggestions.

Call for XIPU AI Implementation Cases

Theme: The Application of XIPU AI (Junmou) in Learning and Teaching (L&T)

Length: Around 3,000 words with abstract, keywords, introduction, methods, results or tips and conclusion, etc. with 2-3 case pictures

Contact: ceie@learningmall.cn

Benefits: Remuneration & Research Impact and Outreach

CEIE is seeking teaching scenarios for Junmou implementation, titled "The Application of XIPU AI (Junmou) in Learning and Teaching." This is a fantastic opportunity to share your insights and experiences with the XJTLU community and its outreach. It is also good to explore how AI is transforming the way you learn and teach. All the topics related to AI in L&T are welcomed. Send your articles and contact ceie@learningmall.cn.

AI empowered L&T&R

Applying Multiple AI Agents in One Course: A Case Study of the PGcert 404 Module

The rapid advancement of generative artificial intelligence (GenAI) has significantly impacted various sectors, including education. AI-powered tools, particularly AI agents, have demonstrated significant potential in enhancing learning experiences, automating administrative tasks, and providing personalised support to students (Fui-Hoon Nah, 2023; Luckin, 2018). AI agents, defined as autonomous or semi-autonomous systems capable of performing tasks that typically require human intelligence, are increasingly being integrated into educational settings to address challenges such as scalability, accessibility, and individualised learning support (Labadze et al., 2023; Roll & Wylie, 2016).

AI Agents as Scaffolds: Supporting ZPD and Self-regulated Learning in Exam Preparation

From Learning to Application: Integrating XIPU AI for Advanced IoT Skills through Customized Control Systems Exercises

Mastering Referencing Skills at Ease: The Development of a Microlearning Course with AI

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