In this episode I unpack Obermüller, Greifenstein, and Fraser’s (2023) publication titled “Effects of automated feedback in Scratch programming tutorials,” which investigates the impact of two different types of hint generating approaches among two different classes.
Read MoreIn this episode I ask Bard and ChatGPT what the future of education looks like and probe these platforms to get a pulse on what computer science education looks like according to responses from large language models.
Read MoreIn this episode I unpack Olari, Tenório, and Romeike’s (2023) publication titled “Introducing artificial intelligence literacy in schools: A review of competence areas, pedagogical approaches, contexts and formats,” which is a review of literature exploring how researchers from 31 papers investigated AI-related literacies in schools.
Read MoreIn this episode I unpack Kazemitabaar et al.’s (2023) publication titled “Studying the effect of AI code generators on supporting novice learners in introductory programming,” which found that students who had access to AI code generators while learning how to code out performed students who did not have access, even when engaging in manual coding exercises.
Read MoreIn this episode I unpack Khalil & Er’s (2023) publication titled “Will ChatGPT get you caught? Rethinking of plagiarism detection,” which explores how likely it is for plagiarism software to detect whether an essay was written by generative AI.
Read MoreIn this episode I unpack Welsh’s (2023) publication titled “The end of programming,” which asks when generative AI will replace the need for knowing how to program.
Read MoreIn this interview with Josh Sheldon, we discuss computational action, designing exploratory professional development experiences, learning how to listen to and empathize with students, applying SEL with teachers, the future of teaching and learning, the problems with external influences on CS education, and so much more.
Read MoreIn this interview with Charlotte Dungan, we discuss Charlotte’s holistic approach to education, remotely teaching CS to rural communities, why Charlotte believes teaching is harder than working in industry, teaching AI in elementary school, the influence of money on research and practice, the future of work, and much more.
Read MoreIn this interview with Sarah Judd, we discuss what Sarah learned both in the classroom and as a CS curriculum writer, the curriculum Sarah continues to develop for AI4ALL, advice and philosophies that can guide facilitating a class and designing curriculum, some of our concerns with discourse on gender in CS, my recommended approach to sustainable professional development, and much more.
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