P356 - DELFI 2024 - Die 22. Fachtagung Bildungstechnologien
Permanent URI for this collectionhttps://dl.gi.de/handle/20.500.12116/44489
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Conference paper Analyzing Chat Protocols of Novice Programmers Solving Introductory Programming Tasks with ChatGPT(Gesellschaft für Informatik e.V., 2024) Scholl, Andreas; Schiffner, Daniel; Kiesler, Natalie; Schulz, Sandra; Kiesler, NatalieLarge 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 tools, e.g., ChatGPT-3.5. To address this goal, computing students at a large German university were motivated to solve programming exercises with the assistance of ChatGPT as part of their weekly introductory course exercises. Then students (n=213) submitted their chat protocols (with 2335 prompts in sum) as data basis for this analysis. The data was analyzed w.r.t. the prompts, frequencies, the chats’ progress, contents, and other use pattern, which revealed a great variety of interactions, both potentially supportive and concerning. Learning about students’ interactions with ChatGPT will help inform and align teaching practices and instructions for future introductory programming courses in higher education.Keynote abstract (Re)-Using the Data: Address Challenges in Research Data via FAIR and APIs(Gesellschaft für Informatik e.V., 2024) Schiffner, Daniel; Schulz, Sandra; Kiesler, NatalieWith the increasing interest in research data, research data centers (RDCs) face several challenges with the collection, storage and dissemination of data. This keynote highlights some of the intricacies of managing and maintaining research data. It does so from a computer science lens to focus on storage infrastructures, API integration, and usability aspects. Moreover, the FAIR principles are a cornerstone guiding recent developments. This presentation will explore how adhering to these principles fosters open science and accelerates scientific processes. By aligning infrastructure development with the FAIR principles, RDCs and the National Research Data Infrastructure (NFDI) project aim to harmonize data management practices across disciplines, institutions, and borders. Their goal is to promote collaboration and maximizing the utility of research data in the long run. In this context, APIs play a pivotal role to facilitate seamless interaction with diverse data sources and platforms. By leveraging innovative approaches and emerging technologies, researchers can navigate and report research data more effectively, uncovering valuable insights and driving scientific progress.Conference paper Towards Open Science at the DELFI Conference(Gesellschaft für Informatik e.V., 2024) Kiesler, Natalie; Röpke, René; Schiffner, Daniel; Schulz, Sandra; Strickroth, Sven; Ehlenz, Matthias; Heinemann, Birte; Wilhelm-Weidner, Arno; Schulz, Sandra; Kiesler, NatalieDespite the increasing awareness of Open Science within the educational technology community, conferences, such as DELFI, do not yet foster the publication of research data including software. To address this, we conducted a survey eliciting the community’s needs, perspectives, and publication preferences. The analysis of 24 valid responses reveals a variety of research data formats used, and several uncertainties, e. g., regarding data ownership. Associated barriers comprise legal concerns and lacking resources to publish data. Nonetheless, researchers seem open for new publication formats. Moreover, we analyzed author’s intentions to publish data related to their DELFI submissions in 2023 (n=66). Many researchers assume not to have data to share (n=28), or no intention to publish data in the future (n=16). Overall, the results imply a lack of awareness and recognition of data publications, so that further efforts and incentives are required to move toward Open Science practices in the DELFI community.
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