Through a Research‑Led Project‑Based Learning approach, this module offers an applied exploration of achievement motivation in educational settings. Students engage with major theories (e.g., expectancy‑value, attribution, self‑determination) by stepping into the roles of reflective educator, scholarly researcher, and innovative designer. They synthesise theory and evidence to diagnose the internal, social, and cultural factors shaping learner motivation in real‑world contexts. Using digital tools (including AI and AI-enabled tools and platforms) and data‑driven methods, students critically evaluate existing practices and design original, evidence‑based intervention strategies and support plans that integrate technological competencies to foster adaptive achievement motivation.
A Demonstrate a critical understanding of major theories of achievement motivation and how technological competencies can be integrated with these theories to inform learning design and educational practices B Synthesize theory and evidence to systematically diagnose the internal and external factors associated with achievement motivation C Critically evaluate educational approaches and practices, using evidence to determine how they facilitate or impede optimal motivation in educational contexts D Develop research‑informed, technology‑enhanced solutions and actionable frameworks that apply motivation principles to diverse educational contexts (e.g., schools, families, industry)
The teaching sessions include both lectures and tutorials which work together to engage students with key conceptual, theoretical, and methodological insights. These sessions provide dedicated opportunities for collaborative and individual practice, critical reflection, and the iterative development of pedagogical projects. There is also a fieldwork component requiring students to develop their projects in real-life contexts and gather evidence to facilitate project iteration and synthesis. Learning strategies focus on student-centred interactive activities and, where possible, integrating technology (including AI and AI-enabled tools and platforms) to facilitate learning.