One of the key challenges faced by lecturers is preparing high-quality teaching that meets both academic standards and industry expectations. Higher education institutions expect lecturers to design lessons that are engaging, student-centred, and aligned with programme learning outcomes while also incorporating current industry practices and emerging technologies. Achieving this requires significant time and effort to research up-to-date content, develop appropriate learning activities, create assessments, and select relevant teaching resources.
The challenge is further intensified by the rapidly evolving nature of many disciplines, where industry requirements and professional practices change frequently. Lecturers must continuously update their teaching materials to ensure students acquire the knowledge, skills, and competencies required by employers. In addition, they must accommodate diverse student learning needs, integrate digital learning technologies, and ensure that lessons comply with institutional and quality assurance requirements.
These demands make lesson preparation a complex and time-consuming process, particularly for new lecturers or those teaching multiple modules. As a result, there is a need for intelligent tools that can assist lecturers in designing high-quality, curriculum-aligned, and industry-relevant lesson plans efficiently. The proposed Agentic AI Lesson Planner addresses this need by supporting educators with lesson planning, resource recommendations, curriculum alignment, and the integration of current industry practices, enabling them to focus more on effective teaching and student engagement.
Preparing high-quality lessons that address current industry needs can be challenging, as educators must balance theoretical knowledge with practical skills, emerging technologies, and the expectations of employers.
This agentic AI lesson planner can help educators overcome the challenge of creating high-quality lessons that are aligned with industry needs by acting as an intelligent planning partner throughout the teaching process. Instead of only generating lesson content, it can analyse curriculum requirements, industry trends, learner profiles, and workplace expectations to design relevant and engaging learning experiences.
The system is currently under development, with ongoing efforts focused on enhancing its capabilities to support lesson planning for undergraduate and postgraduate programmes.
