How to Support ML End-User Programmers through a Conversational Agent

Author:

Arteaga Garcia Emily Judith1ORCID,Nicolaci Pimentel João Felipe2ORCID,Feng Zixuan3ORCID,Gerosa Marco4ORCID,Steinmacher Igor4ORCID,Sarma Anita3ORCID

Affiliation:

1. Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon, United States of America

2. Northern Arizona University, Flagstaff, Arizona, USA

3. Oregon State University, Corvallis, Oregon, United States of America

4. Northern Arizona University, Flagstaff, Arizona, United States of America

Funder

NSF (National Science Foundation)

Publisher

ACM

Reference51 articles.

1. Generative AI. 2023. https://generativeai.net/.

2. Artificial hallucinations in Chat-GPT: implications in scientific writing;Alkaissi Hussam;Cureus,2023

3. A requirement engineering model for big data software

4. Software Engineering for Machine Learning: A Case Study

5. Software Engineering Challenges of Deep Learning

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Designing Conversational Agents to Address Conversational Programmers' Learning Needs and Challenges;Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 2;2024-08-12

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