Readings
The assigned papers for Week 12 are as follows:
Required
Ganskop, D., 2025, February. Designing Experiential Learning with Beehive Sensor Data into a Non-Relational Database Course. In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2 (pp. 1457-1458).
Read the resource ↗Required
On Course: A week-by-week guide to your first semester of college teaching, by James M. Lang. Chapter 9: Academic Honesty.
Read the resource ↗This book is accessible online through the university libraries. Use the link to access the book from campus or VPN software. Public book record (access may require a subscription).
Optional
Chen, B., Lewis, C.M., West, M. and Zilles, C., 2024, July. Plagiarism in the age of generative ai: cheating method change and learning loss in an intro to CS course. In Proceedings of the Eleventh ACM Conference on Learning@ Scale (pp. 75-85).
Read the resource ↗After reading the assigned papers, write a reflection for each one addressing the following points:
Briefly summarize the key findings, or insights from the readings. What are the main takeaways from the research?
Reflect on how you could apply the findings from the research to your own future courses. For example, how could you integrate the strategies, tools, or insights discussed in the paper into your teaching methods, course design, or assessments?
Consider the limitations or challenges of the research. Are there any aspects of the study that you believe could be improved or further explored? Do you think the findings are applicable to a variety of student populations, or are they context-dependent?
Some publisher resources require institutional access or a subscription.