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In den letzten Jahren hat sich der Auskunftsdienst in wissenschaftlichen Bibliotheken gewandelt. Die bibliothekarische Auskunft setzt zahlreiche unterschiedliche Kommunikationsformen ein, um dem Kunden die gewünschten Informationen zukommen zu lassen. Neben den konventionellen Auskunftsmitteln setzen die Bibliotheken verstärkt auf die elektronischen Auskunftsdienste. Seit dem Jahr 2004 haben Chatbots als Auskunftsmittel einen festen Platz in diesem Bereich. Chatbots sind virtuelle Assistenten, die mit Hilfe einer hinterlegten Datenbank die Fragen der Kunden beantworten. Die vorliegende Arbeit stellt die vier Chatbots ASKademicus, Stella, Albot und Hugo Blotius näher vor. Anhand von verschiedener Literatur wird eine Checkliste für eine Qualitätsüberprüfung von Chatbots erarbeitet. Am Beispiel von Hugo Blotius, dem Chatbot der Österreichischen National-bibliothek aus Wien werden die Chatbots analysiert und bewertet. Das Ziel dieser Arbeit ist es, die Thematik der Chatbots näher zu betrachten und deren Nutzungsberechtigung im Bibliothekswesen nachzuweisen. Die durchgeführte Analyse konnte eine Nutzungsberechtigung der bibliothekarischen Chatbots belegen und Hugo Blotius als wertvolle Ergänzung des Auskunftsangebotes der Bibliothek bestätigen.
On November 30th, 2022, OpenAI released the large language model ChatGPT, an extension of GPT-3. The AI chatbot provides real-time communication in response to users’ requests. The quality of ChatGPT’s natural speaking answers marks a major shift in how we will use AI-generated information in our day-to-day lives. For a software engineering student, the use cases for ChatGPT are manifold: assessment preparation, translation, and creation of specified source code, to name a few. It can even handle more complex aspects of scientific writing, such as summarizing literature and paraphrasing text. Hence, this position paper addresses the need for discussion of potential approaches for integrating ChatGPT into higher education. Therefore, we focus on articles that address the effects of ChatGPT on higher education in the areas of software engineering and scientific writing. As ChatGPT was only recently released, there have been no peer-reviewed articles on the subject. Thus, we performed a structured grey literature review using Google Scholar to identify preprints of primary studies. In total, five out of 55 preprints are used for our analysis. Furthermore, we held informal discussions and talks with other lecturers and researchers and took into account the authors’ test results from using ChatGPT. We present five challenges and three opportunities for the higher education context that emerge from the release of ChatGPT. The main contribution of this paper is a proposal for how to integrate ChatGPT into higher education in four main areas.
On November 30th, 2022, OpenAI released the large language model ChatGPT, an extension of GPT-3. The AI chatbot provides real-time communication in response to users’ requests. The quality of ChatGPT’s natural speaking answers marks a major shift in how we will use AI-generated information in our day-to-day lives. For a software engineering student, the use cases for ChatGPT are manifold: assessment preparation, translation, and creation of specified source code, to name a few. It can even handle more complex aspects of scientific writing, such as summarizing literature and paraphrasing text. Hence, this position paper addresses the need for discussion of potential approaches for integrating ChatGPT into higher education. Therefore, we focus on articles that address the effects of ChatGPT on higher education in the areas of software engineering and scientific writing. As ChatGPT was only recently released, there have been no peer-reviewed articles on the subject. Thus, we performed a structured grey literature review using Google Scholar to identify preprints of primary studies. In total, five out of 55 preprints are used for our analysis. Furthermore, we held informal discussions and talks with other lecturers and researchers and took into account the authors’ test results from using ChatGPT. We present five challenges and three opportunities for the higher education context that emerge from the release of ChatGPT. The main contribution of this paper is a proposal for how to integrate ChatGPT into higher education in four main areas.