How Instructors Incorporate Generative AI into Teaching Computing

James Prather, Jamie Gorson Benario, Narges Norouzi, Leo Porter, David H. Smith, Juho Leinonen, Sam Lau, Simone Opel, Brent N. Reeves, Sven Strickroth, Natalie Kiesler, Stephen MacNeil, Virginia Pettit, Jaromir Savelka, Daniel Zingaro

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaAbstractScientificvertaisarvioitu

5 Sitaatiot (Scopus)

Abstrakti

Generative AI (GenAI) has seen great advancements in the past two years and the conversation around adoption is increasing. Widely available GenAI tools are disrupting classroom practices as they can write and explain code with minimal student prompting. While most acknowledge that there is no way to stop students from using such tools, a consensus has yet to form on how students should use them if they choose to do so. At the same time, researchers have begun to introduce new pedagogical tools that integrate GenAI into computing curricula. These new tools offer students personalized help or attempt to teach prompting skills without undercutting code comprehension. This working group aims to detail the current landscape of education-focused GenAI tools and teaching approaches, present gaps where new tools or approaches could appear, identify good practice-examples, and provide a guide for instructors to utilize GenAI as they continue to adapt to this new era.

AlkuperäiskieliEnglanti
Sivut771-772
Sivumäärä2
DOI - pysyväislinkit
TilaJulkaistu - 8 heinäk. 2024
OKM-julkaisutyyppiEi sovellu
TapahtumaAnnual Conference on Innovation & Technology in Computer Science Education - Università degli Studi di Milano, Milan, Italia
Kesto: 8 heinäk. 202410 heinäk. 2024
Konferenssinumero: 29
https://iticse.acm.org/2024/

Conference

ConferenceAnnual Conference on Innovation & Technology in Computer Science Education
LyhennettäITiCSE
Maa/AlueItalia
KaupunkiMilan
Ajanjakso08/07/202410/07/2024
www-osoite

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