7B002E - AI Innovation Lab 01 Sep 2026 - 31 Jul 2032 | Version 0
Associated Module Information
| Module Code: | 7B002E | ||
|---|---|---|---|
| Module Title: | AI Innovation Lab | ||
| Faculty: | Faculty of Business and Creative Industries | ||
| Faculty Group: | Global Governance | ||
| Faculty Sub Group: | Global Governance | ||
| Module Leader: | Michael Parsons | ||
| Module Team: | Adeyemi Aromolaran | ||
| First Intended Intake: | SEP 2026 | Final Year of Intake: | |
| Date Closed: | |||
| Credit Value: | 30 | Credit Level: | 7 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100078 - business and management | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 0 |
|---|---|
| Valid From | 01 Sep 2026 |
| Valid To | 31 Jul 2032 |
Module Aims
To critically evaluate the strategic, ethical, and pedagogical implications of AI-enabled innovation in higher education, demonstrating commercial awareness and alignment with the demands of Digital Transformation and AI-driven economies.
To synthesise interdisciplinary knowledge and apply creative problem-solving to collaboratively design and present an ethical AI prototype that addresses a real-world strategic challenge in educational innovation.
To foster professional autonomy and reflective practice through the development of a personalised training portfolio and critical evaluation of the project lifecycle using advanced meta-cognitive tools.
Content Summary
The capstone module, AI Innovation Lab, will position students as FBCI consultants to explore the transformative potential of AI in shaping educational innovation in higher education. Students will investigate how AI can enhance learning, collaboration, and strategic thinking in university settings, drawing on insights from across the curriculum. Through challenge-based projects, students will design innovative and ethical AI-enabled solutions, such as personal learning agents or collaborative platforms linking academia and industry. The module culminates in a formal pitch to stakeholders. Integral to this experience is the requirement for students to demonstrate proactive self-development by submitting a Professional Development Training Portfolio, aligning their competencies with contemporary demands in Digital Transformation and AI. This comprehensive experience fosters creativity, strategic agility, ethical leadership, and a commitment to continuous professional growth, preparing students to lead AI-driven innovation in education and beyond.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Lectures | 9 |
| Seminar | 12 |
| Practical Classes and Workshops | 15 |
| Groupwork | 20 |
| Guided Study | 60 |
| Problem/Challenge based learning | 120 |
| Formative Assessment | 4 |
| Summative Assessment | 60 |
| Total Hours Selected | 300 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Critically evaluate the strategic, ethical, and pedagogical implications of AI-enabled innovation in higher education and demonstrate sophisticated commercial awareness by proactively aligning professional competencies and training with the demands of Digital Transformation and AI-driven economies. |
| LO2 | Synthesise and critically evaluate interdisciplinary knowledge to collaboratively design, develop, and professionally present an ethical AI prototype solution to a strategic challenge, and demonstrate advanced critical reflection on the entire project lifecycle using appropriate meta-cognitive tools. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Portfolio | Element #1: Group (AI prototype) 60% Equivalence of 1500 words (max.) Element #2: Individual Professional Development Training Portfolio 10% 1000 words (max.) Element #3: Individual (AI guided reflection) 30% 2500 words (max.) | 0 | N/A | 100 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Portfolio | ✔ | ✔ | |