How should university teaching change due to AI? A professor's job is to decide what to teach and how to present this material. The job of the course structure is to ensure students learn that content. AI presents three issues: the link between performance and student knowledge has been broken, students need to be able to use AI effectively in their future life, and AI should let us improve how much students learn. We need to modify our courses, our expectations, and our evaluations because of AI, but we can do so in a way that makes education more effective than ever.
What Parents Need to Know About AI in the Classroom | Stanford HAI
From immersive learning and personalized tutors to lesson plans and grading, AI is everywhere in K-12 education.
Learning in the Open: What AI Is (and Isn’t) Changing
Khan Academy shares what’s working with AI tutoring, what isn’t, and what we’ve learned from Khanmigo to better support student learning.
Eleven Things I Wish Educators Understood About AI and What it Means for "Education"
Thank you to all the supporters of this Substack.
How Khan Academy Is Building a Better AI Tutor: Our Most Recent Learnings
Khan Academy shares how it improved its AI tutor Khanmigo with faster responses, smarter data use, and better student learning outcomes.
AI Is Routine for College Students, Despite Campus Limits
A majority of U.S. college students use artificial intelligence in their coursework at least weekly, yet about half say their schools discourage or prohibit it.
Opinion | The Semester That Shook My Faith as a Professor
AI has taken something fundamental from the business of teaching and learning.
A new direction for students in an AI world: Prosper, prepare, protect | Brookings
This report explores the potential risks generative AI poses to students and outlines what we can do now to minimize them.
I wrote an AI textbook — how long until AI can do it better?
Reflections on AI's writing ability and how AI models get more capable.
Artificial intelligence in mathematics education: The good, the bad, and the ugly
Integrating Artificial Intelligence [AI] into mathematics education offers promising advancements and potential pitfalls. Striking a balance between AI-driven developments and preserving core pedagogical principles is critical in the teaching and learning environment. AI has emerged as a transformative force in various fields, including education. In the realm of mathematics education, AI technologies offer a spectrum of potential benefits (including personalize instruction, adaptive assessment, interactive learning environments, and real-time feedback, among others) and challenges (such as lack of creativity and problem-solving skills, inability to explain reasoning, bias in data and algorithms, absence of emotional intelligence and data privacy and security concern etc). This conceptual study used autoethnography as the methodology and qualitative content approach to analyze data. The study discussed historical background of AI and considered ethical issues around AI. It was concluded that the journey to harness the full potential of AI in mathematics education requires careful navigation of the good, the bad, and the ugly aspects inherent in this technological evolution.
University students feel ‘anxious, confused and distrustful’ about AI in the classroom and among their peers
Whether students and faculty are actively using AI or not, it is having significant interpersonal, emotional effects on learning and trust in the classroom.
University students feel ‘anxious, confused and distrustful’ about AI in the classroom and among their peers
Whether students and faculty are actively using AI or not, it is having significant interpersonal, emotional effects on learning and trust in the classroom.
From Crutch to Coach?
What a new research study tells us about AI's impact on human learning & skills development
Artificial intelligence, cognitive offloading and implications for education
This report investigates the challenge driven by the rapidly expanding use of artificial intelligence (AI) in schooling: the risk that students will outsource too much of the cognitive work that is crucial to establishing knowledge, skill and ‘thinking infrastructure’. The report includes specific recommendations for policy and teaching and learning strategies.
AI Is Hollowing Out Higher Education
Olivia Guest & Iris van Rooij urge teachers and scholars to reject tools that commodify learning, deskill students, and promote illiteracy.
AI in the Classroom
Investigating AI usage in the classroom as a parent of a child entering the K-12 system.
NYC school system to ban AI for elementary, middle school students
Sosc Core to Institute AI Ban, Technology-Free Classrooms This Fall
“The Template for Law Schools Around the World”: UChicago Law School Announces New AI Strategy
Does AI stop children from learning?
A new direction for students in an AI world: Prosper, prepare, protect | Brookings
What Parents Need to Know About AI in the Classroom | Stanford HAI