Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Bogart, Christopher"'
Autor:
Naik, Atharva, Yin, Jessica Ruhan, Kamath, Anusha, Ma, Qianou, Wu, Sherry Tongshuang, Murray, Charles, Bogart, Christopher, Sakr, Majd, Rose, Carolyn P.
An advantage of Large Language Models (LLMs) is their contextualization capability - providing different responses based on student inputs like solution strategy or prior discussion, to potentially better engage students than standard feedback. We pr
Externí odkaz:
http://arxiv.org/abs/2404.18262
Autor:
Doughty, Jacob, Wan, Zipiao, Bompelli, Anishka, Qayum, Jubahed, Wang, Taozhi, Zhang, Juran, Zheng, Yujia, Doyle, Aidan, Sridhar, Pragnya, Agarwal, Arav, Bogart, Christopher, Keylor, Eric, Kultur, Can, Savelka, Jaromir, Sakr, Majd
There is a constant need for educators to develop and maintain effective up-to-date assessments. While there is a growing body of research in computing education on utilizing large language models (LLMs) in generation and engagement with coding exerc
Externí odkaz:
http://arxiv.org/abs/2312.03173
We explore the evolving efficacy of three generative pre-trained transformer (GPT) models in generating answers for multiple-choice questions (MCQ) from introductory and intermediate Python programming courses in higher education. We focus on the dif
Externí odkaz:
http://arxiv.org/abs/2311.09518
Autor:
Sridhar, Pragnya, Doyle, Aidan, Agarwal, Arav, Bogart, Christopher, Savelka, Jaromir, Sakr, Majd
We evaluated the capability of a generative pre-trained transformer (GPT-4) to automatically generate high-quality learning objectives (LOs) in the context of a practically oriented university course on Artificial Intelligence. Discussions of opportu
Externí odkaz:
http://arxiv.org/abs/2306.17459
Autor:
Agarwal, Puja, Prem, Divya, Bogart, Christopher, Fallatah, Abrar, Castro-Guzman, Aileen Abril, Chanpaisaeng, Pannapat, Doehring, Stella, Burnett, Margaret, Sarma, Anita
Emerging research shows that individual differences in how people use technology sometimes cluster by socioeconomic status (SES) and that when technology is not socioeconomically inclusive, low-SES individuals may abandon it. To understand how to imp
Externí odkaz:
http://arxiv.org/abs/2304.04873
Publikováno v:
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V.1 (ITiCSE 2023) 117-123
We evaluated the capability of generative pre-trained transformers (GPT), to pass assessments in introductory and intermediate Python programming courses at the postsecondary level. Discussions of potential uses (e.g., exercise generation, code expla
Externí odkaz:
http://arxiv.org/abs/2303.09325
We analyzed effectiveness of three generative pre-trained transformer (GPT) models in answering multiple-choice question (MCQ) assessments, often involving short snippets of code, from introductory and intermediate programming courses at the postseco
Externí odkaz:
http://arxiv.org/abs/2303.08033
HCI researchers' and practitioners' awareness of intersectionality has been expanding, producing knowledge, recommendations, and prototypes for supporting intersectional populations. However, doing intersectional HCI work is uniquely expensive: it le
Externí odkaz:
http://arxiv.org/abs/2201.10643
Autor:
Sankaranarayanan, Sreecharan, Kandimalla, Siddharth Reddy, Bogart, Christopher, Murray, R. Charles, An, Haokang, Hilton, Michael, Sakr, Majd, Rosé, Carolyn
Publikováno v:
14th Computer-Supported Collaborative Learning Proceedings at the Annual Meeting of the International Society of the Learning Sciences 2021, pp. 213-216
Contributing to the literature on aptitude-treatment interactions between worked examples and problem-solving, this paper addresses differential learning from the two approaches when students are positioned as domain experts learning new concepts. Ou
Externí odkaz:
http://arxiv.org/abs/2107.00218
Software is increasingly produced in the form of ecosystems, collections of interdependent components maintained by a distributed community. These ecosystems act as network organizations, not markets, and thus often lack actionable price-like signals
Externí odkaz:
http://arxiv.org/abs/2012.05987