Micro-credential in Learning Assessment with Generative AI in Higher Education
The Microcredential aims to develop teachers' skills to design, implement, and reflect on learning assessment strategies with the support of generative AI, in a pedagogical and ethical manner, aligned with learning outcomes. The teaching-learning process combines synchronous and asynchronous moments, favouring active participation, critical reflection and the practical application of knowledge. The assessment requires the development of a proposal for the implementation and integration of generative AI into the assessment practices of a course unit. Passing the course confers a Microcredential certificate.
Participants interested in attending this Microcredential must register by 16 January 2026.
A certificate of completion for the Microcredential will be issued, with the acquisition of credits (ECTS), provided that participants have passed the course.
- Assessment of Learning with Generative AI in Higher Education
- Course instructor: Mário Martins
- Synchronous online sessions: 13, 14, 16, 20, 21 and 23 January 2026
- Proposal for the Implementation of Assessment Practices with Generative AI in UC
- Course Instructors: Mário Martins and Sandra Fernandes
- Synchronous online sessions: 5 and 12 February 2026
- Recipients/Target audience: Higher education teachers
- Scientific area: Education Sciences
- Coordination: Prof. Sandra Fernandes, PhD
- Format: E-Learning
- Number of ECTS: 2 ECTS
- Start date: 13 January 2026
- End date: 28 February 2026
- Course duration: 54 hours (16 contact hours)
- Number of places: 60
- Requirements: Teachers enrolled in the training courses ‘Assessment of Learning with the Support of Generative AI’ and ‘NotebookLM to Support Teaching Activity,’ which are part of the Teacher Training Plan promoted by the Office of Pedagogical Innovation.
Overall learning objectives
Critically analyse the impact of generative AI on learning assessment practices in higher education
Reconfigure assessment practices, ensuring rigour, authenticity, fairness and academic integrity
Design more robust assessment activities and tools that are student-centred and aligned with learning objectives.
Using generative AI as pedagogical support for assessment planning, rubric production, feedback, and learning monitoring
Skills to be acquired
Design and implement innovative assessment practices that are ethically sound and pedagogically grounded.
Critically using generative AI tools in the context of assessment and teaching activity
Organise, analyse and synthesise pedagogical and scientific information using tools such as NotebookLM.
