Teaching & Learning Inquiry: The ISSOTL Journal

How censored records, missing data, and politically shaped information are reshaping the AI systems we rely on.

This post is a lament. I thought we were done with the 2023-2024 bad habit of every person attending an online meeting with their AI notetaking assistant in tow, but here we are, November 2025, and I have just attended not one but three meetings which gradually filled up with Otters, Fireflies, and other assorted disembodied stenographers.

As you have no doubt seen, AI is becoming ubiquitous in our lives and in the technologies we use every day. Generative AI is no longer an experimental tool, but a deployed technology in many of the…

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Explore the evolving landscape of coding education in the age of AI. Discover insights from the OpenAI Forum, industry leaders, and practical strategies for developers learning to code with tools like ChatGPT and Codex.

Guess there really is a limit to what he can get away with.

👋 Hi educators! I’m the Hess Rigor Maximizer — your instructional design partner for boosting lesson rigor using Karin Hess’s Cognitive Rigor Matrix.

Topic: Effective Teaching Practices Evidence-based Teaching Practices Faculty Preparedness Professional Development Student and Faculty Experience Student Experience Role: Administrators Faculty Instructional Support Staff Institution: 2-Year Institutions 4-Year Institutions ## Evidence-based Best Practices Faculty development is a critical lever for enhancing teaching and learning in today’s higher education landscape. This playbook provides strategies to Faculty Development practitioners in Centers of Teaching and Learning (CTL) to develop effective and valuable programming around GenAI. Grounded in research, the playbook is designed to guide faculty development professionals in colleges, universities, and other higher education organizations to develop and implement GenAI professional development opportunities for faculty and staff. To explore and evaluate the strategies, challenges, and resources employed by CTLs in higher education institutions across the United States in response to the rapid emergence of GenAI technologies in academic settings, OLC researchers conducted a mixed-methods study. By conducting a comprehensive survey followed by in-depth interviews with CTL leaders and directors, this research sought to provide a nuanced understanding of the current landscape of GenAI integration in higher education and to identify best practices and future directions for supporting faculty in this evolving educational environment. Key findings include: * **Widespread Acknowledgement of GenAI’s Permanence** : Across the dataset, both survey and interview respondents expressed strong consensus that GenAI is here to stay. * **Diverse and Evolving Faculty Development Models** : Most CTLs offer multi-pronged approaches: webinars, book clubs, microcredentials, modular courses, and department-specific consultations. * **Pragmatic Faculty Engagement with Nuanced Resistance** : Barriers to engagement include time constraints, lack of institutional incentives, and emotional/ethical tensions surrounding AI. * **Policy Approaches** : Decentralized but Guided: Institutions generally avoid rigid, centralized policies in favor of guidance frameworks, such as the “traffic light” (Red/Yellow/Green) model. * **Positive and Negative Pedagogical Impacts** : Positive uses include brainstorming, assignment revision, generating feedback, and simulating case scenarios. * **Resource Limitations and Structural Challenges** : Most programs operate with limited staffing, budgets, and incentives. Common CTL sentiments include being under-resourced and over-extended. * **Future Directions** : Embedded AI Literacy and Scalable Infrastructure: Programs emphasize the need for agility — short-term planning cycles, rapid iteration, and ongoing environmental scanning. Download the Faculty Development and GenAI Playbook

Anthropic’s launch of a Higher Education Advisory Board and AI Fluency courses marks a significant step in responsible AI integration for colleges and universities. Explore how these initiatives aim to shape future-ready, AI-literate campuses.

<em>Inclusive Teaching Online</em> addresses the complexities of teaching diverse and nontraditional adult students in asynchronous online environments. Centered in evidence-based approaches for creat...