Module 4

Low-risk, formative AI-supported feedback and assessment on written production

Module description

This module equips participants with the skills to use AI tools such as ChatGPT and Google Gemini to provide formative feedback on written work. Through hands-on exploration of Technology Enhanced Learning (TEL), participants learn to select appropriate tools and create effective prompts that support personalized feedback, learner autonomy, and writing development. The module highlights how AI can enhance feedback practices while maintaining teacher oversight.
Full description available here.

Didactic materials

Introduction to Module 4

Video Overview of Module 4

Activity 1: instruction

Activity 2: instruction

Activity 3: instruction

Activity 4: instruction

Instructor notes for Module 4

Activity 0: instruction

Handout 1: reach a group judgement

Handout 2: learner texts

Handout 3: list of example prompts

DigCompEdu Areas

Area 1: Professional Engagement
1.3 Reflective Practice – 1.4 Digital Continuous Professional Development

Area 2: Digital Resources
2.1 Selecting digital resources

Area 3: Teaching and Learning
3.1 Teaching – 3.2 Guidance – 3.3 Collaborative learning
3.4 Self-regulated learning

Area 4: Assessment
4.1 Assessment strategies – 4.3 Feedback & Planning

Area 5: Empowering Learners
5.2 Differentiation & personalisation – 5.3 Actively Engaging Learners

Area 6: Facilitating Learners’ Digital Competence
6.4 Responsible use (of tools for feedback and assessment)

Learning outcomes

On successful completion, participants will be able to design a low-risk, formative assessment workflow that integrates AI feedback into their existing language teaching or learning practice, e.g., peer review, AI review or teacher review.
On successful completion, participants will be able to design and refine effective prompts that elicit targeted, constructive feedback on specific aspects of L2 writing (e.g., grammar, vocabulary, discourse, register, cohesion, text organization etc.).
On successful completion, participants will be able to evaluate AI-generated feedback on student writing samples against pedagogical criteria (accuracy, appropriateness for proficiency level, alignment with learning objectives).
On successful completion, participants will be able to reflect critically on transparent classroom policies for AI use for feedback on written assignment (privacy, fairness, and academic integrity).