Sample Corpus Guide | AI in Academia - Dataspheres AI

The Sample Corpus: AI in Academia 42 verified audio and video sources on how AI is changing higher education and research - every link checked live before ...

The Sample Corpus: AI in Academia 42 verified audio and video sources on how AI is changing higher education and research - every link checked live before inclusion. This corpus powers the sample study in the free Research with Dataspheres AI course: pick a handful of items with contrasting stances, bring the recordings in, transcribe, code, and compare. Worked example - already done for you Seven of these recordings are already transcribed and coded in this datasphere, so you can see the finished shape before you build your own: the timestamped transcripts sit in the Library , the coding lives in Coded Segments (Verbatim) , the reasoning is in Method & Audit Trail , and the write-up is in Findings . Open a transcript, jump to a timestamp from the matrix, and check whether you would have coded it the same way. How to use it Pick 4-6 items across stances - at least one pro, one critical, one balanced. The contrast is what makes coding interesting. Download from the original source. Use each item's official page or feed. Do not re-upload audio you do not own to public spaces - transcribing for private analysis is standard practice; redistribution is not. Transcribe and diarize in your own workspace, then code against a shared codebook (start deductively: integrity, assessment, labor, acceleration, equity - and let inductive codes grow). Watch the matrix fill. Coded segments become live datasets and charts - the same pipeline the course walks module by module. Critical voices AI Didn't Break Education. It Exposed The Lie - House of El: AI (18:48). Assessment and pedagogy critique. AI - More Questions than Answers (Fiona Borthwick) - CIBSecretariat. Black-box systems, doctoral research, critical thinking. Is Your School Ready for AI? - Azadeh and Guy on AI (20:00). Missing AI policies, data privacy, algorithmic bias. Drag It All To Hell (2025.10.27) - Mystery AI Hype Theater 3000 (56:44). AI harms in education and peer review. You Talked to Workers for This Labor Research... Right? (Sophie Song) - Mystery AI Hype Theater 3000 (53:14). Methodology critique: ChatGPT ratings vs interviewing workers. Do Chatbots Really Belong in Schools? (Tom Mullaney) - Tech Won't Save Us (54:00). Generative AI adoption in education. Enthusiastic voices AI in Higher Education: Best Practices Overview for Professors - Eric Cameron (15:24). Faculty integration practices. Generative AI + Education: Reinventing the Teaching Experience - MIT. Instructor work and classroom design. Practical AI for Instructors and Students Part 1 - Wharton School. How teachers and students can understand and use AI. Generative AI in Higher Education: Opportunities for Higher Education and Future Graduates - QAA. Institutional opportunities and graduate capabilities. Generative AI in Teaching & Learning (playlist) - Harvard. Faculty experiments with GenAI in teaching and research. Campus Talks: What Does 'AI Across the Curriculum' Look Like in Practice? - Times Higher Education. Institution-wide AI education (U. Florida AI2 Center). Navigating AI in Graduate School - Azadeh and Guy on AI (21:00). Six practical tips for responsible AI in grad research. Accelerating Scientific Discovery with AI (Sir Demis Hassabis) - University of Cambridge Computer Laboratory. AlphaFold and AI-accelerated science. AI-Powered Labs Accelerating Scientific Discovery (Milad Abolhasani) - NSF Discovery Files. Self-driving laboratories for materials discovery. Balanced discussions AI's Role in Higher Ed | Jennifer Pintar | TEDxYoungstown - TEDx Talks (10:22). Systemic and institutional impact. '20 PhDs' In the Time of One: How AI Is Changing College - Bloomberg Television (9:51). Research velocity and campus economics. AI and Academic Integrity: What Students Need to Know - Jessica Bernards (4:51). Academic integrity boundaries. AI+Education Summit: Generative AI for Education - Stanford HAI. What students learn and education-specific AI design. Generative AI + Education: Will Generative AI Transform Learning? - MIT. Future of learning and institutional change. Generative AI and the Future of Learning at Harvard - Harvard Business School AI Institute. Teaching, research, student experience, operations. Who Does the Thinking: The Role of Generative AI in Higher Education - International Association of Universities. Regulation, commercial interests, purpose of higher ed. AI Trends in Higher Education webinar - Higher Education Teaching and Learning / Emerald. How AI is disrupting and shaping higher education. Navigating Generative AI in Higher Education (Mandy Olejnik) - CELatElon. AI and writing instruction. Generative AI in Higher Education: Students' Perspectives - QAA. Student experiences, ethics, AI policy. Human-Centered AI Pedagogy: Analog Inspiration (Dr Carter) - UCD Teaching & Learning. Human-centered teaching philosophy vs technology rollout. Implications of AI on Higher Education - UC Berkeley Center for Studies in Higher Education. Learning, creativity, university