Transparency in Learning and Teaching (TILT) in the Age of GenAI
There has been an increasing movement encouraging greater transparency in teaching in higher education in the last few decades. Why? It is thought that by purposefully communicating essential information about instructor motivations and practices to students, they emerge as better learners and thinkers. Transparent teaching encourages instructors to “unlock their disciplinary and pedagogical codes so that all students understand [an instructor’s] expectations and aspirations for their work” (Felten and Finley, 2019, p. viii). Transparency in course design and delivery has been shown to support student development of academic confidence, sense of belonging, and metacognitive awareness of their work as learners (Winkelmes et al, 2016). Transparent teaching is also associated with increases in classroom equity, improved academic success for underserved and underrepresented students and social success in higher education (Felten & Finley, 2019; Strada-Gallup, 2018; Winkelmes et al, 2016).
Including GenAI with TILT
The emergence of Generative Artificial Intelligence (GenAI) has made clear that MORE transparency is needed in course design and development. As the use of GenAI cannot be reliably detected – and different instructors have vastly different practices around how GenAI might be used by students – clear and consistent messaging allows for all stakeholders in higher education to share expectations and aspirations for student work and learning. Educating students about the ethics of using GenAI in different disciplines for different purposes can be a part of this transparency (i.e., “GenAI use is not permitted for any reason for this assignment because the purpose of your work is to generate xx”)
One of the best-known scaffolds for transparent teaching is called the Transparency in Learning and Teaching (TILT) framework. The TILT framework is applied to individual assignments to provide guidance for students about instructor expectations. Traditionally, assignments using the TILT framework are set up with three sections to provide specific guidance for students: purpose of assignment, tasks to be completed, and criteria for success. With the advent of GenAI, we are suggesting the addition of a fourth section for assignments that outlines expectations for the use/non-use of GenAI. Thus, an assignment using this revised version of the TILT framework would include the following:
- Purpose of assignment: This section explains why students are being asked to complete an assignment and provides connections between the content of the assignment to a course, discipline, and/or future use of the content.
- GenAI use statement: This section includes a statement about how GenAI should/should not be used to complete the assignment, providing a rationale for this decision that allows students to understand how GenAI might help or hinder their learning, depending on the objective of the assignment. It is in this section where instructors might specify a GenAI Usage Expectation Level to further clarify expectations related to GenAI use for students.
- Tasks to be completed: This section provides specific instructions for students to follow to successfully complete an assignment.
- Criteria for success: This section outlines how a student’s work will be assessed, providing grading criteria, rubrics, or other metrics/instruments that will be used to grade assignments.
Application of TILT and GenAI
An example of an assignment using the revised TILT framework is taken from a recent professional writing course at Illinois State University and is provided below:
Sample Assignment:
Purpose:
GenAI Use:
Task:
Criteria for Success:
Questions? Email the instructor or post in the Questions about Assignments discussion board in our Canvas course site.