The different moments and forms of assessment play a decisive role in learning, far beyond a final certificate. They guide students’ efforts, consolidate learning, and give meaning to teaching goals. Therefore, effective assessment is one of the most demanding responsibilities of higher education teaching, based on clear criteria, pedagogical coherence, and context-appropriateness.
This program proposes a practical and reflective approach to assessment strategies, combining theoretical foundations with application in real teaching contexts. Over the course of four missions, participants will be challenged to develop a personal and grounded vision of assessment, explore different instruments and methodologies, integrate generative artificial intelligence critically and responsibly, and build an assessment plan consistent with learning objectives and the principles of equity, reliability, and ethics.
More than offering ready-made answers, this program invites us to think of assessment as a demanding, situated and evolving practice. The training need accelerated by the digitalization processes of the national and international market created a pedagogical gap that this training responds to with 6 curricular units.

The course takes place in a 100% Digital format with Synchronous Classes.

Successful completion of this training program enables participants to:

To describe the different perspectives on assessment in a teaching-learning context, to critically evaluate them, and to adopt a personal view on them.
Combining different instruments, occasions, and agents to develop effective assessment approaches tailored to students’ learning objectives.
To frame the use of generative AI by students in assessment activities through methods and instruments that not only neutralize its fraudulent use but also enhance learning.
Using generative AI to improve one’s own efficiency and effectiveness as an evaluator.
To identify and comply with applicable ethical principles in evaluation, particularly with respect to the use of generative AI.
To plan and schedule an assessment program for a semester-long course, combining the different instruments and techniques of multidimensional assessment discussed so far.
Develop a personal development plan as an educator and assessment agent.

Higher education teachers

MODULES

Mission 1: Fundamentals: What is the purpose of assessment?

• Fundamental concepts: summative and formative assessment, diagnostic assessment, embedded assessment.
• Assessing learning from individual and organizational perspectives.
• Types of learning and forms of assessment.

Types of learning and forms of assessment.

• Assessment in the context of active and participatory methodologies.
• The importance of learning objectives in assessment.
• Inventory and critical discussion of different instruments.
• Participants in the evaluation.
• Objectivity, reliability, and fairness: challenges and approaches.

Mission 3: Opportunities and threats of generative AI

• Dealing with generative artificial intelligence (GAI) in evaluation: challenges, constraint strategies vs. utilization strategies.
• IAG, creativity and critical thinking.
• IAG as an evaluator’s tool: potential, limitations, transparency.

Mission 4: Planning the evaluation: objectives and timing

• Biases, heuristics, and evaluation impartiality.
• General principles of an ethically responsible evaluation (particularly in the case of recourse to EGI).
• Techniques of repetition and interpolation of assessments used to reinforce learning.
• Structure of an integrated assessment plan throughout an academic semester.

Ana Teresa Neves (ESE João de Deus)
João Paulo Feijoo (Autónoma Academy)