Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Kiesler, Natalie"'
Autor:
Scholl, Andreas, Kiesler, Natalie
This research paper contributes to the computing education research community's understanding of Generative AI (GenAI) in the context of introductory programming, and specifically, how students utilize related tools, such as ChatGPT. An increased und
Externí odkaz:
http://arxiv.org/abs/2407.20792
Large Language Models (LLMs) have taken the world by storm, and students are assumed to use related tools at a great scale. In this research paper we aim to gain an understanding of how introductory programming students chat with LLMs and related too
Externí odkaz:
http://arxiv.org/abs/2405.19132
The advent of Large Language Models (LLMs) started a serious discussion among educators on how LLMs would affect, e.g., curricula, assessments, and students' competencies. Generative AI and LLMs also raised ethical questions and concerns for computin
Externí odkaz:
http://arxiv.org/abs/2406.11858
Ever since Large Language Models (LLMs) and related applications have become broadly available, several studies investigated their potential for assisting educators and supporting students in higher education. LLMs such as Codex, GPT-3.5, and GPT 4 h
Externí odkaz:
http://arxiv.org/abs/2403.04449
Autor:
Prather, James, Denny, Paul, Leinonen, Juho, Becker, Brett A., Albluwi, Ibrahim, Craig, Michelle, Keuning, Hieke, Kiesler, Natalie, Kohn, Tobias, Luxton-Reilly, Andrew, MacNeil, Stephen, Peterson, Andrew, Pettit, Raymond, Reeves, Brent N., Savelka, Jaromir
Recent advancements in artificial intelligence (AI) are fundamentally reshaping computing, with large language models (LLMs) now effectively being able to generate and interpret source code and natural language instructions. These emergent capabiliti
Externí odkaz:
http://arxiv.org/abs/2310.00658
Ever since the emergence of large language models (LLMs) and related applications, such as ChatGPT, its performance and error analysis for programming tasks have been subject to research. In this work-in-progress paper, we explore the potential of su
Externí odkaz:
http://arxiv.org/abs/2309.00029
Autor:
Kiesler, Natalie, Schiffner, Daniel
This paper investigates the performance of the Large Language Models (LLMs) ChatGPT-3.5 and GPT-4 in solving introductory programming tasks. Based on the performance, implications for didactic scenarios and assessment formats utilizing LLMs are deriv
Externí odkaz:
http://arxiv.org/abs/2308.08572
Autor:
Kiesler, Natalie
Online coding environments can help support computing students gain programming practice at their own pace. Especially informative feedback can be beneficial during such self-guided, independent study phases. This research aims at the identification
Externí odkaz:
http://arxiv.org/abs/2206.03077
Autor:
Kiesler, Natalie
This research paper focusses on the competences expected from computer science novices in the domain of basic programming and how they can be classified. By means of a qualitative content analysis of current learning objectives at German universities
Externí odkaz:
http://arxiv.org/abs/2006.16922
Autor:
MacKellar, Bonnie Kathleen1, Kiesler, Natalie2, Raj, Rajendra K.3, Sabin, Mihaela4, McCauley, Renee5, Kumar, Amruth N.6
Publikováno v:
Proceedings of the ASEE Annual Conference & Exposition. 2023, p1-15. 15p.