A public educational institution is seeking a postdoctoral researcher for an initiative focused on innovation in engineering education. The position falls within a project that examines how the institution can respond to the rise of AI in the learning process. The project has the following overarching goals:
- Develop a theoretical framework of constructive alignment for AI-rich teaching environments.
- Identify which patterns of student-AI interactions influence the adoption of deep or surface approaches to learning.
- Create, implement, and evaluate guidelines and a knowledge base for teachers to design their courses so the use of AI contributes to meaningful learning.
- Create an engaged community around teaching and learning in the age of AI.
What you will do. You will build on two trajectories currently underway, including a PhD research investigating educational practices that protect learning in the presence of increasingly powerful automation tools, and a postdoctoral research developing a framework for redefining meaningful learning in the age of AI. You will explore ways that AI guidelines are being integrated into courses and study their impact on meaningful student learning.
Your initial goal will be to engage with the educational community involved in the project. You will then compile results from experiments and initiatives happening across the institution. This preliminary investigation will inform a study that you will design and implement in the institution's classroom(s). Ultimately, you will produce recommendations for implementation of guidelines across a range of university disciplinary settings.
As a disciplinary expert and senior researcher, you will have the opportunity to assist in advising a PhD project and will facilitate collaboration with the project’s existing team.
Your recommendations will be developed through inquiry of questions such as:
- How do guidelines translate to different teaching methods used across faculties? Examples include: lecture, workshop, studio, seminar, and online learning material.
- What are the respective learning objectives and assessments used in different disciplines and how do these integrate AI guidelines?
- How do AI guidelines influence student learning and how should educators integrate AI guidelines into their course planning?
- What recommendations do you have for AI guidelines and policies that take into account student learning and diverging teaching methods for different disciplines?
Profile
- You hold a PhD in Educational Science, Learning Sciences, Social and Behavioral Sciences, Engineering Education, Human-Computer Interaction, or a related field.
- Your research background demonstrates a clear focus on education, learning, or human behavior.
- You have AI literacy and a strong interest in educational innovation, technology, and AI.
- You are familiar with, or have an affinity for, design and/or engineering education research.
- You have experience with qualitative and quantitative research methods.
- You have a keen eye for robust research designs and enjoy conducting interdisciplinary research.
- You communicate clearly in English, both verbally and in writing.
- You work effectively both independently and collaboratively in a multidisciplinary environment.
Envisioned Outputs.
- Peer-reviewed publications on realized impacts of policy and guidelines in classroom settings across engineering disciplines.
- Recommendations for implementing guidelines for designing learning objectives, teaching activities, and assessments that prioritize student learning in the AI age.
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