[{"publication_status":"published","citation":{"short":"A. Watanabe, T. Schmohl, K. Schelling, in: C. de Witt,  Christina  Gloerfeld,  Silke Elisabeth  Wrede (Eds.), Künstliche Intelligenz in Der Bildung, Springer Fachmedien Wiesbaden, Wiesbaden, 2023, pp. 263–289.","chicago-de":"Watanabe, Alice, Tobias Schmohl und Kathrin Schelling. 2023. Akzeptanzforschung zum Einsatz Künstlicher Intelligenz in der Hochschulbildung : Eine kritische Bestandsaufnahme. In: <i>Künstliche Intelligenz in der Bildung</i>, hg. von Claudia  de Witt,  Christina  Gloerfeld, und  Silke Elisabeth  Wrede, 263–289. Wiesbaden: Springer Fachmedien Wiesbaden. doi:<a href=\"https://doi.org/10.1007/978-3-658-40079-8_13\">10.1007/978-3-658-40079-8_13</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Watanabe, Alice</span> ; <span style=\"font-variant:small-caps;\">Schmohl, Tobias</span> ; <span style=\"font-variant:small-caps;\">Schelling, Kathrin</span>: Akzeptanzforschung zum Einsatz Künstlicher Intelligenz in der Hochschulbildung : Eine kritische Bestandsaufnahme. In: <span style=\"font-variant:small-caps;\">de Witt, C.</span> ; <span style=\"font-variant:small-caps;\">Gloerfeld,  Christina </span> ; <span style=\"font-variant:small-caps;\">Wrede,  Silke Elisabeth </span> (Hrsg.): <i>Künstliche Intelligenz in der Bildung</i>. Wiesbaden : Springer Fachmedien Wiesbaden, 2023, S. 263–289","van":"Watanabe A, Schmohl T, Schelling K. Akzeptanzforschung zum Einsatz Künstlicher Intelligenz in der Hochschulbildung : Eine kritische Bestandsaufnahme. In: de Witt C, Gloerfeld  Christina , Wrede  Silke Elisabeth , editors. Künstliche Intelligenz in der Bildung. Wiesbaden: Springer Fachmedien Wiesbaden; 2023. p. 263–89.","bjps":"<b>Watanabe A, Schmohl T and Schelling K</b> (2023) Akzeptanzforschung Zum Einsatz Künstlicher Intelligenz in Der Hochschulbildung : Eine Kritische Bestandsaufnahme. In de Witt C, Gloerfeld  Christina  and Wrede  Silke Elisabeth  (eds), <i>Künstliche Intelligenz in Der Bildung</i>. Wiesbaden: Springer Fachmedien Wiesbaden, pp. 263–289.","mla":"Watanabe, Alice, et al. “Akzeptanzforschung Zum Einsatz Künstlicher Intelligenz in Der Hochschulbildung : Eine Kritische Bestandsaufnahme.” <i>Künstliche Intelligenz in Der Bildung</i>, edited by Claudia  de Witt et al., Springer Fachmedien Wiesbaden, 2023, pp. 263–89, <a href=\"https://doi.org/10.1007/978-3-658-40079-8_13\">https://doi.org/10.1007/978-3-658-40079-8_13</a>.","havard":"A. Watanabe, T. Schmohl, K. Schelling, Akzeptanzforschung zum Einsatz Künstlicher Intelligenz in der Hochschulbildung : Eine kritische Bestandsaufnahme, in: C. de Witt,  Christina  Gloerfeld,  Silke Elisabeth  Wrede (Eds.), Künstliche Intelligenz in Der Bildung, Springer Fachmedien Wiesbaden, Wiesbaden, 2023: pp. 263–289.","ufg":"<b>Watanabe, Alice/Schmohl, Tobias/Schelling, Kathrin</b>: Akzeptanzforschung zum Einsatz Künstlicher Intelligenz in der Hochschulbildung : Eine kritische Bestandsaufnahme, in: <i>Witt, Claudia de/Gloerfeld,  Christina /Wrede,  Silke Elisabeth  (Hgg.)</i>: Künstliche Intelligenz in der Bildung, Wiesbaden 2023,  S. 263–289.","apa":"Watanabe, A., Schmohl, T., &#38; Schelling, K. (2023). Akzeptanzforschung zum Einsatz Künstlicher Intelligenz in der Hochschulbildung : Eine kritische Bestandsaufnahme. In C. de Witt,  Christina  Gloerfeld, &#38;  Silke Elisabeth  Wrede (Eds.), <i>Künstliche Intelligenz in der Bildung</i> (pp. 263–289). Springer Fachmedien Wiesbaden. <a href=\"https://doi.org/10.1007/978-3-658-40079-8_13\">https://doi.org/10.1007/978-3-658-40079-8_13</a>","chicago":"Watanabe, Alice, Tobias Schmohl, and Kathrin Schelling. “Akzeptanzforschung Zum Einsatz Künstlicher Intelligenz in Der Hochschulbildung : Eine Kritische Bestandsaufnahme.” In <i>Künstliche Intelligenz in Der Bildung</i>, edited by Claudia  de Witt,  Christina  Gloerfeld, and  Silke Elisabeth  Wrede, 263–89. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. <a href=\"https://doi.org/10.1007/978-3-658-40079-8_13\">https://doi.org/10.1007/978-3-658-40079-8_13</a>.","ama":"Watanabe A, Schmohl T, Schelling K. Akzeptanzforschung zum Einsatz Künstlicher Intelligenz in der Hochschulbildung : Eine kritische Bestandsaufnahme. In: de Witt C, Gloerfeld  Christina , Wrede  Silke Elisabeth , eds. <i>Künstliche Intelligenz in Der Bildung</i>. Springer Fachmedien Wiesbaden; 2023:263-289. doi:<a href=\"https://doi.org/10.1007/978-3-658-40079-8_13\">10.1007/978-3-658-40079-8_13</a>","ieee":"A. Watanabe, T. Schmohl, and K. Schelling, “Akzeptanzforschung zum Einsatz Künstlicher Intelligenz in der Hochschulbildung : Eine kritische Bestandsaufnahme,” in <i>Künstliche Intelligenz in der Bildung</i>, C. de Witt,  Christina  Gloerfeld, and  Silke Elisabeth  Wrede, Eds. Wiesbaden: Springer Fachmedien Wiesbaden, 2023, pp. 263–289. doi: <a href=\"https://doi.org/10.1007/978-3-658-40079-8_13\">10.1007/978-3-658-40079-8_13</a>."},"title":"Akzeptanzforschung zum Einsatz Künstlicher Intelligenz in der Hochschulbildung : Eine kritische Bestandsaufnahme","page":"263-289","status":"public","quality_controlled":"1","publisher":"Springer Fachmedien Wiesbaden","department":[{"_id":"DEP2000"}],"author":[{"full_name":"Watanabe, Alice","id":"76856","last_name":"Watanabe","first_name":"Alice"},{"orcid":"https://orcid.org/0000-0002-7043-5582","full_name":"Schmohl, Tobias","last_name":"Schmohl","first_name":"Tobias","id":"71782"},{"first_name":"Kathrin","last_name":"Schelling","id":"81212","full_name":"Schelling, Kathrin"}],"year":"2023","abstract":[{"text":"Innovationen in der Hochschulbildung führen nicht per se zu gesteigerter Nachfrage oder Akzeptanz aufseiten der relevanten Bildungsgruppen (Krone & Pinkl, 2017). Im Fall KI-gestützter Innovationen im Kontext akademischen Lehrens und Lernens kommt erschwerend hinzu, dass weder Lernende noch Lehrende der Technik unvoreingenommen begegnen: Vorbehalte gegenüber KI werden hier zu kritischen Erfolgsfaktoren für die Implementierung innovativer Technologie (Schäfer & Keppler, 2013, S. 5). Während im technologischen, bildungswissenschaftlichen und didaktischen Bereich bereits Forschungsergebnisse und auch erste Implementationen vorliegen, ist die Akzeptanzforschung vor allem in Bezug auf die Studierendenperspektive gegenüber KI-Anwendungen noch vergleichsweise gering entwickelt (Kieslich et al., 2019). Der vorliegende Beitrag adressiert diesen »blinden Fleck« anhand einer Übersicht über grundlegende Konzepte und Modelle aus dem Bereich der Akzeptanzforschung. Anhand aktueller KI-Trends werden zunächst allgemeine Überlegungen zur Akzeptanz abgeleitet. Auf Basis theoretischer Grundlagen zum Gegenstand der Akzeptanz, der Exemplifikation an einem Fallbeispiel sowie einer Synopse relevanter Modelle wird anschließend kritisch diskutiert, welche Bedeutung der Akzeptanzforschung zum KI-Einsatz in der Hochschulbildung künftig zugemessen werden kann. Der Beitrag stellt eine Anregung und Orientierung für empirische Untersuchungen dar.","lang":"ger"}],"date_updated":"2024-05-15T12:06:31Z","user_id":"83781","editor":[{"last_name":"de Witt","full_name":"de Witt, Claudia ","first_name":"Claudia "},{"full_name":"Gloerfeld,  Christina ","last_name":"Gloerfeld","first_name":" Christina "},{"first_name":" Silke Elisabeth ","full_name":"Wrede,  Silke Elisabeth ","last_name":"Wrede"}],"type":"book_chapter","date_created":"2024-04-30T18:25:15Z","publication_identifier":{"eisbn":["978-3-658-40079-8"],"isbn":["978-3-658-40078-1"]},"publication":"Künstliche Intelligenz in der Bildung","language":[{"iso":"eng"}],"place":"Wiesbaden","doi":"10.1007/978-3-658-40079-8_13","_id":"11408"},{"date_created":"2023-05-25T11:29:54Z","publication":"Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens","publication_identifier":{"isbn":["978-3-8376-5769-2"],"eisbn":["978-3-8394-5769-6 "]},"editor":[{"last_name":"Schmohl","full_name":"Schmohl, Tobias","id":"71782","first_name":"Tobias","orcid":"https://orcid.org/0000-0002-7043-5582"},{"first_name":"Alice","id":"76856","last_name":"Watanabe","full_name":"Watanabe, Alice"},{"first_name":"Kathrin","full_name":"Schelling, Kathrin","last_name":"Schelling","id":"81212"}],"date_updated":"2023-06-19T07:39:11Z","language":[{"iso":"ger"}],"title":"KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer","volume":4,"citation":{"ieee":"M. Lange-Hegermann, T. Schmohl, A. Watanabe, K. Schelling, S. Heiss, and J. Rubart, <i>KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer</i>, vol. 4. Bielefeld: transcript Verlag, 2023, pp. 161–172. doi: <a href=\"https://doi.org/10.14361/9783839457696-009\">10.14361/9783839457696-009</a>.","ama":"Lange-Hegermann M, Schmohl T, Watanabe A, Schelling K, Heiss S, Rubart J. <i>KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer</i>. Vol 4. (Schmohl T, Watanabe A, Schelling K, eds.). transcript Verlag; 2023:161-172. doi:<a href=\"https://doi.org/10.14361/9783839457696-009\">10.14361/9783839457696-009</a>","apa":"Lange-Hegermann, M., Schmohl, T., Watanabe, A., Schelling, K., Heiss, S., &#38; Rubart, J. (2023). KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer. In T. Schmohl, A. Watanabe, &#38; K. Schelling (Eds.), <i>Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens</i> (Vol. 4, pp. 161–172). transcript Verlag. <a href=\"https://doi.org/10.14361/9783839457696-009\">https://doi.org/10.14361/9783839457696-009</a>","chicago":"Lange-Hegermann, Markus, Tobias Schmohl, Alice Watanabe, Kathrin Schelling, Stefan Heiss, and Jessica Rubart. <i>KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer</i>. Edited by Tobias Schmohl, Alice Watanabe, and Kathrin Schelling. <i>Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens</i>. Vol. 4. Hochschulbildung: Lehre und Forschung. Bielefeld: transcript Verlag, 2023. <a href=\"https://doi.org/10.14361/9783839457696-009\">https://doi.org/10.14361/9783839457696-009</a>.","van":"Lange-Hegermann M, Schmohl T, Watanabe A, Schelling K, Heiss S, Rubart J. KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer. Schmohl T, Watanabe A, Schelling K, editors. Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens. Bielefeld: transcript Verlag; 2023. (Hochschulbildung: Lehre und Forschung; vol. 4).","havard":"M. Lange-Hegermann, T. Schmohl, A. Watanabe, K. Schelling, S. Heiss, J. Rubart, KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer, transcript Verlag, Bielefeld, 2023.","mla":"Lange-Hegermann, Markus, et al. “KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer.” <i>Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens</i>, edited by Tobias Schmohl et al., vol. 4, transcript Verlag, 2023, pp. 161–72, <a href=\"https://doi.org/10.14361/9783839457696-009\">https://doi.org/10.14361/9783839457696-009</a>.","bjps":"<b>Lange-Hegermann M <i>et al.</i></b> (2023) <i>KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer</i>, Schmohl T, Watanabe A and Schelling K (eds). Bielefeld: transcript Verlag.","ufg":"<b>Lange-Hegermann, Markus u. a.</b>: KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer, Bd. 4, hg. von Schmohl, Tobias/Watanabe, Alice/Schelling, Kathrin, Bielefeld 2023 (Hochschulbildung: Lehre und Forschung).","short":"M. Lange-Hegermann, T. Schmohl, A. Watanabe, K. Schelling, S. Heiss, J. Rubart, KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer, transcript Verlag, Bielefeld, 2023.","chicago-de":"Lange-Hegermann, Markus, Tobias Schmohl, Alice Watanabe, Kathrin Schelling, Stefan Heiss und Jessica Rubart. 2023. <i>KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer</i>. Hg. von Tobias Schmohl, Alice Watanabe, und Kathrin Schelling. <i>Künstliche Intelligenz in der Hochschulbildung: Chancen und Grenzen des KI-gestützten Lernens und Lehrens</i>. Bd. 4. Hochschulbildung: Lehre und Forschung. Bielefeld: transcript Verlag. doi:<a href=\"https://doi.org/10.14361/9783839457696-009\">10.14361/9783839457696-009</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Lange-Hegermann, Markus</span> ; <span style=\"font-variant:small-caps;\">Schmohl, Tobias</span> ; <span style=\"font-variant:small-caps;\">Watanabe, Alice</span> ; <span style=\"font-variant:small-caps;\">Schelling, Kathrin</span> ; <span style=\"font-variant:small-caps;\">Heiss, Stefan</span> ; <span style=\"font-variant:small-caps;\">Rubart, Jessica</span> ; <span style=\"font-variant:small-caps;\">Schmohl, T.</span> ; <span style=\"font-variant:small-caps;\">Watanabe, A.</span> ; <span style=\"font-variant:small-caps;\">Schelling, K.</span> (Hrsg.): <i>KI-basierte Erstellung individualisierter Mathematikaufgaben für MINT-Fächer</i>, <i>Hochschulbildung: Lehre und Forschung</i>. Bd. 4. Bielefeld : transcript Verlag, 2023"},"author":[{"last_name":"Lange-Hegermann","full_name":"Lange-Hegermann, Markus","first_name":"Markus","id":"71761"},{"orcid":"https://orcid.org/0000-0002-7043-5582","last_name":"Schmohl","first_name":"Tobias","id":"71782","full_name":"Schmohl, Tobias"},{"first_name":"Alice","last_name":"Watanabe","full_name":"Watanabe, Alice","id":"76856"},{"first_name":"Kathrin","id":"81212","full_name":"Schelling, Kathrin","last_name":"Schelling"},{"first_name":"Stefan","last_name":"Heiss","full_name":"Heiss, Stefan","id":"1031"},{"full_name":"Rubart, Jessica","id":"45672","last_name":"Rubart","first_name":"Jessica"}],"year":"2023","page":"161-172","status":"public","type":"conference_editor_article","intvolume":"         4","user_id":"15514","doi":"10.14361/9783839457696-009","_id":"9930","place":"Bielefeld","series_title":"Hochschulbildung: Lehre und Forschung","publication_status":"published","department":[{"_id":"DEP5000"}],"publisher":"transcript Verlag"},{"oa":"1","place":"Bielefeld","language":[{"iso":"ger"}],"_id":"9984","publication_identifier":{"eisbn":["978-3-8394-5769-6 "],"isbn":["978-3-8376-5769-2"]},"type":"book_editor","date_created":"2023-06-19T07:44:25Z","user_id":"15514","date_updated":"2023-06-19T07:46:57Z","intvolume":"         4","editor":[{"orcid":"https://orcid.org/0000-0002-7043-5582","first_name":"Tobias","last_name":"Schmohl","full_name":"Schmohl, Tobias","id":"71782"},{"id":"76856","first_name":"Alice","last_name":"Watanabe","full_name":"Watanabe, Alice"},{"first_name":"Kathrin","last_name":"Schelling","full_name":"Schelling, Kathrin","id":"81212"}],"main_file_link":[{"url":"https://www.transcript-verlag.de/media/pdf/c9/16/59/oa9783839457696.pdf","open_access":"1"}],"year":"2023","status":"public","page":" 286","publisher":"transcript Verlag","series_title":"Hochschulbildung: Lehre und Forschung ","title":"Künstliche Intelligenz in der Hochschulbildung : Chancen und Grenzen des KI-gestützten Lernens und Lehrens ","citation":{"ieee":"T. Schmohl, A. Watanabe, and K. Schelling, Eds., <i>Künstliche Intelligenz in der Hochschulbildung : Chancen und Grenzen des KI-gestützten Lernens und Lehrens </i>, vol. 4. Bielefeld: transcript Verlag, 2023.","ama":"Schmohl T, Watanabe A, Schelling K, eds. <i>Künstliche Intelligenz in der Hochschulbildung : Chancen und Grenzen des KI-gestützten Lernens und Lehrens </i>. Vol 4. transcript Verlag; 2023.","short":"T. Schmohl, A. Watanabe, K. Schelling, eds., Künstliche Intelligenz in der Hochschulbildung : Chancen und Grenzen des KI-gestützten Lernens und Lehrens , transcript Verlag, Bielefeld, 2023.","chicago-de":"Schmohl, Tobias, Alice Watanabe und Kathrin Schelling, Hrsg. 2023. <i>Künstliche Intelligenz in der Hochschulbildung : Chancen und Grenzen des KI-gestützten Lernens und Lehrens </i>. Bd. 4. Hochschulbildung: Lehre und Forschung . Bielefeld: transcript Verlag.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Schmohl, T.</span> ; <span style=\"font-variant:small-caps;\">Watanabe, A.</span> ; <span style=\"font-variant:small-caps;\">Schelling, K.</span> (Hrsg.): <i>Künstliche Intelligenz in der Hochschulbildung : Chancen und Grenzen des KI-gestützten Lernens und Lehrens </i>, <i>Hochschulbildung: Lehre und Forschung </i>. Bd. 4. Bielefeld : transcript Verlag, 2023","apa":"Schmohl, T., Watanabe, A., &#38; Schelling, K. (Eds.). (2023). <i>Künstliche Intelligenz in der Hochschulbildung : Chancen und Grenzen des KI-gestützten Lernens und Lehrens </i> (Vol. 4). transcript Verlag.","chicago":"Schmohl, Tobias, Alice Watanabe, and Kathrin Schelling, eds. <i>Künstliche Intelligenz in der Hochschulbildung : Chancen und Grenzen des KI-gestützten Lernens und Lehrens </i>. Vol. 4. Hochschulbildung: Lehre und Forschung . Bielefeld: transcript Verlag, 2023.","van":"Schmohl T, Watanabe A, Schelling K, editors. Künstliche Intelligenz in der Hochschulbildung : Chancen und Grenzen des KI-gestützten Lernens und Lehrens . Bielefeld: transcript Verlag; 2023. 286 p. (Hochschulbildung: Lehre und Forschung ; vol. 4).","ufg":"<i>Schmohl, Tobias</i>/<i>Watanabe, Alice</i>/<i>Schelling, Kathrin</i>: Künstliche Intelligenz in der Hochschulbildung : Chancen und Grenzen des KI-gestützten Lernens und Lehrens , Bd. 4, Bielefeld 2023 (Hochschulbildung: Lehre und Forschung ).","bjps":"<b>Schmohl T, Watanabe A and Schelling K (eds)</b> (2023) <i>Künstliche Intelligenz in der Hochschulbildung : Chancen und Grenzen des KI-gestützten Lernens und Lehrens </i>. Bielefeld: transcript Verlag.","mla":"Schmohl, Tobias, et al., editors. <i>Künstliche Intelligenz in der Hochschulbildung : Chancen und Grenzen des KI-gestützten Lernens und Lehrens </i>. transcript Verlag, 2023.","havard":"T. Schmohl, A. Watanabe, K. Schelling, eds., Künstliche Intelligenz in der Hochschulbildung : Chancen und Grenzen des KI-gestützten Lernens und Lehrens , transcript Verlag, Bielefeld, 2023."},"volume":4,"publication_status":"published"},{"language":[{"iso":"eng"}],"keyword":["Artificial Intelligence in Higher Education","Design-based Research","Intelligent Tutoring System","Participatory Technology Design","Scoping Review"],"doi":"10.5220/0011068500003182","_id":"12796","date_updated":"2025-06-26T13:40:15Z","user_id":"83781","editor":[{"full_name":"Cukurova, Mutlu ","last_name":"Cukurova","first_name":"Mutlu "},{"full_name":"Rummel, Nikol ","first_name":"Nikol ","last_name":"Rummel"},{"first_name":"Denis ","full_name":"Gillet, Denis ","last_name":"Gillet"},{"first_name":"Bruce ","last_name":"McLaren","full_name":"McLaren, Bruce "},{"first_name":"James ","full_name":"Uhomoibhi, James ","last_name":"Uhomoibhi"}],"type":"conference_editor_article","date_created":"2025-04-15T12:23:55Z","publication_identifier":{"eisbn":["978-989-758-562-3"]},"publication":"Proceedings of the 14th International Conference on Computer Supported Education - Vol. 2","page":"179-186","status":"public","publisher":"SCITEPRESS - Science and Technology Publications","conference":{"end_date":"2022-04-24","start_date":"2022-04-22","name":"14th International Conference on Computer Supported Education (CSEDU)","location":"Online"},"author":[{"orcid":"https://orcid.org/0000-0002-7043-5582","id":"71782","last_name":"Schmohl","first_name":"Tobias","full_name":"Schmohl, Tobias"},{"id":"81212","full_name":"Schelling, Kathrin","last_name":"Schelling","first_name":"Kathrin"},{"first_name":"Stefanie","id":"86007","full_name":"Go, Stefanie","last_name":"Go"},{"first_name":"Katrin Jana","last_name":"Thaler","id":"74178","full_name":"Thaler, Katrin Jana"},{"id":"76856","last_name":"Watanabe","first_name":"Alice","full_name":"Watanabe, Alice"}],"year":"2022","abstract":[{"text":"This Design-Based Research (DBR) project aims to develop an intelligent tutoring system (ITS) for higher education. The system will collect teaching and learning materials in audio and video formats (e.g., podcasts, lecture recordings, screencasts, and explainer videos), and store them on a learning experience platform (LXP). Then, the ITS will process them with the help of speech recognition to gain data which, in turn, will be used to power further applications: Using artificial intelligence (AI), the platform will allow users to search the materials, automatically compiling them according to criteria like lesson subject, language, medium, or required prior knowledge. By the end of the last DBR cycle, the ITS will also provide a more active form of support: It will automatically generate exercises based on predefined patterns and teaching materials, thus allowing learners to check up on their learning progress autonomously. In order to closely match the ITS's features to the needs and learning habits of students in higher education, the development of this AI-based tutoring system is accompanied by an interdisciplinary team which will continuously re-evaluate and adapt the concept over the course of several DBR cycles. Our goal is to derive implications for the system's technical development by collecting and evaluating educational research data (mixed methods design; primary and secondary research methods).","lang":"eng"}],"publication_status":"published","citation":{"short":"T. Schmohl, K. Schelling, S. Go, K.J. Thaler, A. Watanabe, Development, Implementation and Acceptance of an AI-Based Tutoring System: A Research-Led Methodology, SCITEPRESS - Science and Technology Publications, 2022.","chicago-de":"Schmohl, Tobias, Kathrin Schelling, Stefanie Go, Katrin Jana Thaler und Alice Watanabe. 2022. <i>Development, Implementation and Acceptance of an AI-based Tutoring System: A Research-Led Methodology</i>. Hg. von Mutlu  Cukurova, Nikol  Rummel, Denis  Gillet, Bruce  McLaren, und James  Uhomoibhi. <i>Proceedings of the 14th International Conference on Computer Supported Education - Vol. 2</i>. 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Herzberg, How can Artificial Intelligence Improve the Academic Writing of Students?, Libreriauniversitaria.it, Bologna, 2020.","mla":"Schmohl, Tobias, et al. “How Can Artificial Intelligence Improve the Academic Writing of Students?” <i>The Future of Education</i>, vol. 10, Libreriauniversitaria.it, 2020, pp. 168–71.","bjps":"<b>Schmohl T <i>et al.</i></b> (2020) <i>How Can Artificial Intelligence Improve the Academic Writing of Students?</i> Bologna: Libreriauniversitaria.it.","ieee":"T. Schmohl, A. Watanabe, N. Fröhlich, and D. Herzberg, <i>How can Artificial Intelligence Improve the Academic Writing of Students?</i>, vol. 10. Bologna: Libreriauniversitaria.it, 2020, pp. 168–171.","ama":"Schmohl T, Watanabe A, Fröhlich N, Herzberg D. <i>How Can Artificial Intelligence Improve the Academic Writing of Students?</i> Vol 10. Bologna: Libreriauniversitaria.it; 2020:168-171."},"title":"How can Artificial Intelligence Improve the Academic Writing of Students?"}]