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Call for proposals on AI-Augmented Engineering Education

As AI is radically changing the design, engineering and science processes, the engineer's role will change accordingly. Instead of replacing engineers, the expectation is that (generative) AI can augment engineers in their intellectual work, creativity, and productivity.

Designing and engineering with AI, and using AI in science is not only learning how to use this technology, but also to meaningfully control the safety, reliability, and quality of the AI-generated products and results and underlying processes. How can engineers remain accountable for their design and design choices, especially if the generative-AI process lacks transparency or proposes unconventional solutions?

To prepare future engineers from all disciplines at TU Delft and skill them in AI-augmented design, engineering and science, our students could benefit from education on how to work with AI-augmented techniques, and apply these in a responsible way.

The TU Delft AI-Initiative makes 4 grants of 25k€ each available, to stimulate the acquisition of knowledge and skills about AI-augmented engineering education and to share this with other teachers at TU Delft.

Objective

To prepare future engineers from the various disciplines/domains at TU Delft and skill them in AI-augmented science, design and engineering we want to stimulate the development of education on AI-Augmented science, design and engineering.

Focus

The ambition is to form knowledge teams to work with various faculties to substantively foster and shape this transition in education.

Specific requirements

  • Focus on AI-augmented engineering skills, knowledge and attitudes the engineers should possess;

  • Key role for knowledge team to share new insights and together form a vision on this transition in education;

  • Apply to education in at least one course and preferably more (across faculties);

  • Set-up a plan for sharing and inspiring others.

To include

Cohesive plan to stimulate acquisition of knowledge, develop skills, and/or form professional attitudes about AI-Augmented Engineering (Education) to proactively develop education and describes:

  • analysis of current situation,

  • education related objective,

  • activities to achieve the objective

  • impact pathway (NWO Impact plan approach: output, outcome and impact) including stakeholder mapping/activities

Funding amount

Grant € 25.000

Embedding

Plan should be embedded in the education organization in your faculty.

Eligible costs

External support (teaching assistants) and material costs (see more details below). The budget is not to be spend on your or other TU Delft project participants own hours.

Format plan AI-Augmented Engineering Education

1 Introduction/Goal

  • - Description of current situation
  • - Description of challenges
  • - Goal of project plan

2 Project Team

  • - Description of project team incl their individual roles
  • - Describe involvement of the education organization in your Faculty

3 Project description

4 Deliverables – Time line

5 Budget

Timeline

Assessment criteria

he proposals are assessed based on these criteria.

CRITERION 1

Objective and target group and context, general impression

  • Have the objective and background/context been described sufficiently clearly and credibly?

  • Is the proposal focused on the TU Delft and on the transition towards AI-augmented engineers?

  • Is there a plan for implementing AI-augmented engineering education in a course scheduled in the project period?

  • Clarity and feasibility of the schedule, risk assessment and measures.

  • Adequacy of the team composition, project organization, and backing from the educational organization in the faculty

CRITERION 2

Planned result and impact

  • Is the impact on TUD AI-Augmented Engineering education described?

  • Are the results and the described impact sufficiently concrete and credible?

  • Does the impact stretch further then the people involved in the project?

  • Can the impact stretch towards other courses, programmes in or outside the faculty.

  • Can the process or outcome inspire other TUD staff towards AI-Augmented Engineering education

  • Can the output be showcased at TUD to stimulate AI-Augmented Engineering

  • Do the costs match the size of the target group and planned impact?

CRITERION 3

Action plan

  • Are the activities concrete and specific, given the objective?

  • Is there attention to the change process: for example cultural change, roles, expertise, acquiring new knowledge?

  • Are evaluation approach and criteria mentioned.

  • How is the implementation in terms of education, knowledge transfer, dissemination and sustainability/embedding after the project?

Eligible costs

External support/Personnel

  • Appointment of student assistant

  • Hiring other external temporary personnel

Out of pocket costs

  • Development of materials/software

  • Purchase/Licencing specific software

  • Compute when not available @TU Delft

  • Organization workshops or other meetings (related to subject)

  • Dissemination of knowledge

  • Implement Demonstration

The budget is not to be spend on your or other TU Delft project participants own hours. In case of doubt, please check with Simon Goede (s.j.goede@tudelft.nl).