Media Roundup
No Time Better for Better Assessments
October 2026
Leaders in education have started sounding alarm bells that assessments in the age of AI must change. Citing inherent inaccuracies of AI-use “gotcha” software and the academic integrity dilemmas of final product-based assessment, a sea change is on the way.
As one Inside Higher Ed article states (linked below), “Instead of trying to ‘catch’ AI use, focus on designing assignments that encourage process, reasoning, and authentic engagement.” Decades of research on best assessment practices tell us that embracing process-based assessments allow students to demonstrate their application of knowledge. Some examples include:
Portfolios: curated collections of student work and the growth shown over time
Formative feedback: i.e., exit tickets, polls, self and peer assessment, concept maps, staged research beginning with a proposal
Conversation-based assessments: i.e., teacher-student check-ins, dialogues with open-ended prompts, oral presentations
Authentic performance tasks: i.e., podcasts, debates, presentations
Competency demonstrations: i.e., product creation and design (i.e., models)
Process-based assessments are one effective approach to meaningfully tracking student learning. Of course, the importance of building real relationships and human connection remains key—a student who knows their teacher is less likely to cheat. Schools should also ensure their students are armed with AI-aware rubrics that help them understand appropriate AI uses and are proficient in properly documenting the use of AI tools in their work.
Media Roundup
Responsible Assessment in the AI Era - Stanford Accelerator for Learning, June 2026
Show Your Work: Assessment in the Age of AI - University of Central Florida, 2026
AI Detectors are Out, New Assessments are In - Inside Higher Ed, August 2026
The Return of the Oral Exam: A defense against AI cheating is catching on as a better way to teach - Chronicle of Higher Ed, September 2026
The Best Defense Against AI Cheating is a Class Worth Taking - Inside Higher Ed, April 2026
AI Literacy and How You Can Support Your Students
September 2026
Navigating generative AI in schools requires a balanced, thoughtful perspective, even when some would rather cover our ears and close our eyes. But instead of shying away from understanding the technology, we can draw on lessons from previous technological shifts and meet this moment with intention. Our students are confronting this rapid shift either with our support—or on their own. We’ve curated four readings to support your approaches and thinking this year about how to support students by building up their AI literacy, equipping them to evaluate these tools critically, use them responsibly, stay competitive in a changing job market, and remain grounded in human-centered learning.
American Psychological Association’s AI literacy: Why every teen needs to learn this essential skill (June 2025) talks about the need to support teens in understanding AI bias.
Pew Research on How Teens Use and View AI (February 2025) provides valuable insights into how teens are interacting with the technology, including data along demographic lines.
MIT’s report from the Committee on AI Use in Teaching, Learning, and Research Training (August 2026) is a comprehensive proposal on next steps for the university in formulating AI policy and approaches, providing all educational institutions with a roadmap for their own considerations.
Why I want more AI at Dartmouth: Universities that hide from the technology will merely secure their irrelevance (September 2026) by Sian Leah Beilock. Similar to MIT’s report, Dartmouth’s president argues: “But outright bans or vague curbs afford no opportunities for students to better understand how to work ethically and effectively with AI.”