[{"publication_status":"published","abstract":[{"lang":"eng","text":"In today's technology-driven world, the need for interdisciplinary skills is increasing. This has become challenging in tertiary education to provide students with applicable knowledge of various fields. Anderson's Adaptive Control of Thought (ACT) theory suggests that universities have traditionally focused on imparting declarative knowledge, which involves memorization of facts and concepts. However, imparting the ability to apply such knowledge on individual students and create procedural knowledge is the challenge. This includes teachers dealing with a diverse range of student abilities, particularly at university-level where they teach the same course content to students with different levels of prior knowledge and, given the structure of modern education systems, the resources required to monitor and provide feedback for a number of decisions and attempts independently performed by the students. Intelligent Tutoring Systems (ITS) have proven to be effective in addressing the aforementioned challenges by creating personalized learning environments that provide instant feedback, adapt to individual student needs, and promote the development of procedural knowledge. In the field of automation education at the university level, we are creating a 3D artificial intelligence (AI)-based ITS software named KIAAA (An AI Assistant for teaching in the field of automation), specifically designed to teach computer programming to students. KIAAA aims to assist students in transitioning from their abilities to procedural aptitude by providing personalized learning scenarios that allow them to apply their knowledge and receive immediate feedback. Our approach is based mainly on the pedagogical model of ITS, which focuses on creating a supportive and inclusive learning environment that promotes success for all students, regardless of their initial level of knowledge. One of the key aspects of our approach is the utilization of personalized learning. We propose a scheme that, subsequent to evaluate student's initial levels of procedural knowledge, creates 3D learning environments tailored to each individual student. By analyzing the solutions proposed by the students, we select the difficulty level of subsequent tasks. This approach takes into consideration student's discrete competence throughout the learning process, enabling them to progress on their prior knowledge. Additionally, the software provides customized feedback to each student on their performance, helping students identify areas that require improvement. Concepts for and implementations of ITS for a variety of fields, including introductory programming classes, have evolved for a long time. Our main contribution lies in presenting an end to end solution for ITS focused on teaching programming for automation students with realistically 3D simulated factory environments. While we strongly believe to have created a pedagogically sound, integrated intelligent teaching system for assisting programming classes in tertiary automation education, a robust user study for methodically evaluating our concept and implementation is still to be performed. Thus, we limit ourselves to presenting the underlying didactic concepts of KIAAA as a work in progress paper with a comprehensive evaluation to follow at a later date."}],"conference":{"start_date":"2023-10-18","end_date":"2023-10-21","name":"2023 IEEE Frontiers in Education Conference (FIE)","location":"Texas"},"department":[{"_id":"DEP7022"},{"_id":"DEP1306"},{"_id":"DEP7001"}],"publisher":"IEEE","type":"conference_editor_article","user_id":"83781","doi":"10.1109/fie58773.2023.10343228","_id":"12992","place":"[Piscataway, NJ]","title":"Personalized Learning in Automation: A 3D AI-Based Approach","citation":{"ama":"Ali A, Deuter A, Wehmeier L. <i>Personalized Learning in Automation: A 3D AI-Based Approach</i>. (IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, American Society for Engineering Education, eds.). IEEE; 2024. doi:<a href=\"https://doi.org/10.1109/fie58773.2023.10343228\">10.1109/fie58773.2023.10343228</a>","ieee":"A. Ali, A. Deuter, and L. Wehmeier, <i>Personalized Learning in Automation: A 3D AI-Based Approach</i>. [Piscataway, NJ]: IEEE, 2024. doi: <a href=\"https://doi.org/10.1109/fie58773.2023.10343228\">10.1109/fie58773.2023.10343228</a>.","mla":"Ali, Asmar, et al. “Personalized Learning in Automation: A 3D AI-Based Approach.” <i>FIE 2023 : College Station, TX, USA, October 18-21, 2023 : Conference Proceedings  / 2023 IEEE Frontiers in Education Conference (FIE)</i>, edited by IEEE ASEE Frontiers in Education Conference et al., IEEE, 2024, <a href=\"https://doi.org/10.1109/fie58773.2023.10343228\">https://doi.org/10.1109/fie58773.2023.10343228</a>.","bjps":"<b>Ali A, Deuter A and Wehmeier L</b> (2024) <i>Personalized Learning in Automation: A 3D AI-Based Approach</i>, IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, and American Society for Engineering Education (eds). [Piscataway, NJ]: IEEE.","havard":"A. Ali, A. Deuter, L. Wehmeier, Personalized Learning in Automation: A 3D AI-Based Approach, IEEE, [Piscataway, NJ], 2024.","ufg":"<b>Ali, Asmar/Deuter, Andreas/Wehmeier, Leon</b>: Personalized Learning in Automation: A 3D AI-Based Approach, hg. von IEEE ASEE Frontiers in Education Conference/Institute of Electrical and Electronics Engineers, American Society for Engineering Education, [Piscataway, NJ] 2024.","van":"Ali A, Deuter A, Wehmeier L. Personalized Learning in Automation: A 3D AI-Based Approach. IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, American Society for Engineering Education, editors. FIE 2023 : College Station, TX, USA, October 18-21, 2023 : conference proceedings  / 2023 IEEE Frontiers in Education Conference (FIE). [Piscataway, NJ]: IEEE; 2024.","chicago":"Ali, Asmar, Andreas Deuter, and Leon Wehmeier. <i>Personalized Learning in Automation: A 3D AI-Based Approach</i>. Edited by IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, and American Society for Engineering Education. <i>FIE 2023 : College Station, TX, USA, October 18-21, 2023 : Conference Proceedings  / 2023 IEEE Frontiers in Education Conference (FIE)</i>. [Piscataway, NJ]: IEEE, 2024. <a href=\"https://doi.org/10.1109/fie58773.2023.10343228\">https://doi.org/10.1109/fie58773.2023.10343228</a>.","apa":"Ali, A., Deuter, A., &#38; Wehmeier, L. (2024). Personalized Learning in Automation: A 3D AI-Based Approach. In IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, &#38; American Society for Engineering Education (Eds.), <i>FIE 2023 : College Station, TX, USA, October 18-21, 2023 : conference proceedings  / 2023 IEEE Frontiers in Education Conference (FIE)</i>. IEEE. <a href=\"https://doi.org/10.1109/fie58773.2023.10343228\">https://doi.org/10.1109/fie58773.2023.10343228</a>","chicago-de":"Ali, Asmar, Andreas Deuter und Leon Wehmeier. 2024. <i>Personalized Learning in Automation: A 3D AI-Based Approach</i>. Hg. von IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, und American Society for Engineering Education. <i>FIE 2023 : College Station, TX, USA, October 18-21, 2023 : conference proceedings  / 2023 IEEE Frontiers in Education Conference (FIE)</i>. [Piscataway, NJ]: IEEE. doi:<a href=\"https://doi.org/10.1109/fie58773.2023.10343228\">10.1109/fie58773.2023.10343228</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Ali, Asmar</span> ; <span style=\"font-variant:small-caps;\">Deuter, Andreas</span> ; <span style=\"font-variant:small-caps;\">Wehmeier, Leon</span> ; <span style=\"font-variant:small-caps;\">IEEE ASEE Frontiers in Education Conference</span> ; <span style=\"font-variant:small-caps;\">Institute of Electrical and Electronics Engineers</span> ; <span style=\"font-variant:small-caps;\">American Society for Engineering Education</span> (Hrsg.): <i>Personalized Learning in Automation: A 3D AI-Based Approach</i>. [Piscataway, NJ] : IEEE, 2024","short":"A. Ali, A. Deuter, L. Wehmeier, Personalized Learning in Automation: A 3D AI-Based Approach, IEEE, [Piscataway, NJ], 2024."},"author":[{"first_name":"Asmar","full_name":"Ali, Asmar","id":"78685","last_name":"Ali"},{"last_name":"Deuter","id":"62088","full_name":"Deuter, Andreas","first_name":"Andreas","orcid":"0000-0002-6529-6215"},{"id":"81257","first_name":"Leon","full_name":"Wehmeier, Leon","last_name":"Wehmeier"}],"year":"2024","status":"public","date_created":"2025-06-18T12:57:37Z","publication":"FIE 2023 : College Station, TX, USA, October 18-21, 2023 : conference proceedings  / 2023 IEEE Frontiers in Education Conference (FIE)","publication_identifier":{"eisbn":["979-8-3503-3642-9"],"isbn":["979-8-3503-3643-6"]},"corporate_editor":["IEEE ASEE Frontiers in Education Conference","Institute of Electrical and Electronics Engineers","American Society for Engineering Education"],"date_updated":"2025-06-18T13:01:55Z","language":[{"iso":"eng"}]},{"publication_identifier":{"eisbn":["979-8-3503-3642-9"],"isbn":["979-8-3503-3643-6"]},"publication":"FIE 2023 : College Station, TX, USA, October 18-21, 2023 : conference proceedings  / 2023 IEEE Frontiers in Education Conference (FIE)","date_created":"2025-06-18T13:05:11Z","corporate_editor":["IEEE ASEE Frontiers in Education Conference","Institute of Electrical and Electronics Engineers","American Society for Engineering Education"],"date_updated":"2025-06-18T13:23:56Z","keyword":["Codes","Electronic learning","Soft sensors","Semantics","Education","Syntactics","Task analysis"],"language":[{"iso":"eng"}],"title":"Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis","citation":{"ieee":"L. Wehmeier, S. Eilermann, O. Niggemann, and A. Deuter, <i>Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis</i>. [Piscataway, NJ]: IEEE, 2024. doi: <a href=\"https://doi.org/10.1109/fie58773.2023.10342916\">10.1109/fie58773.2023.10342916</a>.","ama":"Wehmeier L, Eilermann S, Niggemann O, Deuter A. <i>Task-Fidelity Assessment for Programming Tasks Using Semantic Code Analysis</i>. (IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, American Society for Engineering Education, eds.). IEEE; 2024. doi:<a href=\"https://doi.org/10.1109/fie58773.2023.10342916\">10.1109/fie58773.2023.10342916</a>","chicago":"Wehmeier, Leon, Sebastian Eilermann, Oliver Niggemann, and Andreas Deuter. <i>Task-Fidelity Assessment for Programming Tasks Using Semantic Code Analysis</i>. Edited by IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, and American Society for Engineering Education. <i>FIE 2023 : College Station, TX, USA, October 18-21, 2023 : Conference Proceedings  / 2023 IEEE Frontiers in Education Conference (FIE)</i>. [Piscataway, NJ]: IEEE, 2024. <a href=\"https://doi.org/10.1109/fie58773.2023.10342916\">https://doi.org/10.1109/fie58773.2023.10342916</a>.","apa":"Wehmeier, L., Eilermann, S., Niggemann, O., &#38; Deuter, A. (2024). Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis. In IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, &#38; American Society for Engineering Education (Eds.), <i>FIE 2023 : College Station, TX, USA, October 18-21, 2023 : conference proceedings  / 2023 IEEE Frontiers in Education Conference (FIE)</i>. IEEE. <a href=\"https://doi.org/10.1109/fie58773.2023.10342916\">https://doi.org/10.1109/fie58773.2023.10342916</a>","ufg":"<b>Wehmeier, Leon u. a.</b>: Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis, hg. von IEEE ASEE Frontiers in Education Conference/Institute of Electrical and Electronics Engineers, American Society for Engineering Education, [Piscataway, NJ] 2024.","havard":"L. Wehmeier, S. Eilermann, O. Niggemann, A. Deuter, Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis, IEEE, [Piscataway, NJ], 2024.","bjps":"<b>Wehmeier L <i>et al.</i></b> (2024) <i>Task-Fidelity Assessment for Programming Tasks Using Semantic Code Analysis</i>, IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, and American Society for Engineering Education (eds). [Piscataway, NJ]: IEEE.","mla":"Wehmeier, Leon, et al. “Task-Fidelity Assessment for Programming Tasks Using Semantic Code Analysis.” <i>FIE 2023 : College Station, TX, USA, October 18-21, 2023 : Conference Proceedings  / 2023 IEEE Frontiers in Education Conference (FIE)</i>, edited by IEEE ASEE Frontiers in Education Conference et al., IEEE, 2024, <a href=\"https://doi.org/10.1109/fie58773.2023.10342916\">https://doi.org/10.1109/fie58773.2023.10342916</a>.","van":"Wehmeier L, Eilermann S, Niggemann O, Deuter A. Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis. IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, American Society for Engineering Education, editors. FIE 2023 : College Station, TX, USA, October 18-21, 2023 : conference proceedings  / 2023 IEEE Frontiers in Education Conference (FIE). [Piscataway, NJ]: IEEE; 2024.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Wehmeier, Leon</span> ; <span style=\"font-variant:small-caps;\">Eilermann, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Niggemann, Oliver</span> ; <span style=\"font-variant:small-caps;\">Deuter, Andreas</span> ; <span style=\"font-variant:small-caps;\">IEEE ASEE Frontiers in Education Conference</span> ; <span style=\"font-variant:small-caps;\">Institute of Electrical and Electronics Engineers</span> ; <span style=\"font-variant:small-caps;\">American Society for Engineering Education</span> (Hrsg.): <i>Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis</i>. [Piscataway, NJ] : IEEE, 2024","chicago-de":"Wehmeier, Leon, Sebastian Eilermann, Oliver Niggemann und Andreas Deuter. 2024. <i>Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis</i>. Hg. von IEEE ASEE Frontiers in Education Conference, Institute of Electrical and Electronics Engineers, und American Society for Engineering Education. <i>FIE 2023 : College Station, TX, USA, October 18-21, 2023 : conference proceedings  / 2023 IEEE Frontiers in Education Conference (FIE)</i>. [Piscataway, NJ]: IEEE. doi:<a href=\"https://doi.org/10.1109/fie58773.2023.10342916\">10.1109/fie58773.2023.10342916</a>, .","short":"L. Wehmeier, S. Eilermann, O. Niggemann, A. Deuter, Task-Fidelity Assessment for Programming Tasks Using Semantic Code Analysis, IEEE, [Piscataway, NJ], 2024."},"year":"2024","author":[{"full_name":"Wehmeier, Leon","first_name":"Leon","last_name":"Wehmeier","id":"81257"},{"first_name":"Sebastian","last_name":"Eilermann","full_name":"Eilermann, Sebastian"},{"full_name":"Niggemann, Oliver","id":"10876","first_name":"Oliver","last_name":"Niggemann"},{"orcid":"0000-0002-6529-6215","first_name":"Andreas","last_name":"Deuter","full_name":"Deuter, Andreas","id":"62088"}],"status":"public","type":"conference_editor_article","user_id":"83781","_id":"12993","doi":"10.1109/fie58773.2023.10342916","place":"[Piscataway, NJ]","publication_status":"published","abstract":[{"text":"In computer science and related technical fields, researchers, educators, and practitioners are continuously automating recurring tasks for high efficiency in a wide variety of fields. In higher education, such tasks that educators face are the recurring review and assessment process of students' programming coursework. Thus, various attempts exist to automate the assessment and feedback generation for course homework and practicals in higher education. Those approaches for automated programming task assessment often comprise running automated tests to check for limited functional correctness and potentially style checking for various violations (LINTing). Educators familiar with large-scale automated task assessment are likely used to seeing hard-coded solutions specifically or accidentally designed to just pass the required tests, ignoring or misinterpreting the actual task requirements. Detecting such issues in arbitrary code is non-trivial and an ongoing research topic in software engineering. Software engineering research has yielded various semantic analysis frameworks, such as GitHub's CodeQL, which can be adapted for programming task assessment. We present a work-in-progress programming task analysis framework which employs CodeQL's analysis technology to identify the actual use of task-description-mandated syntactic and semantic elements such as loop structures or the use of mandated data blocks in branching conditions. This allows extending existing course work analysis frameworks to include a semantic check of an uploaded program which exceeds the relatively simple set of input-output test cases provided by unit tests. We use a running example of entry level programming tasks and several solution attempts to introduce and explain our proposed control flow and data flow -based analysis method. We discuss the benefits of including semantic analysis as an additional method in the automated programming task assessment toolbox. Our main contribution is the adaptation of an semantic analysis code framework to analyse syntactic and semantic components in students' programming coursework.","lang":"eng"}],"conference":{"end_date":"2023-10-21","start_date":"2023-10-18","location":"Texas","name":"2023 IEEE Frontiers in Education Conference (FIE)"},"department":[{"_id":"DEP7022"},{"_id":"DEP1306"},{"_id":"DEP7001"}],"publisher":"IEEE"},{"author":[{"id":"62088","first_name":"Andreas","full_name":"Deuter, Andreas","last_name":"Deuter","orcid":"0000-0002-6529-6215"},{"last_name":"Wehmeier","first_name":"Leon","full_name":"Wehmeier, Leon","id":"81257"},{"id":"78685","last_name":"Ali","full_name":"Ali, Asmar","first_name":"Asmar"},{"last_name":"Bach","first_name":"Roland","full_name":"Bach, Roland"},{"first_name":"Christoph","last_name":"Schultz","full_name":"Schultz, Christoph"},{"first_name":"Sebastian","last_name":"Eilermann","full_name":"Eilermann, Sebastian"},{"full_name":"Niggemann, Oliver","first_name":"Oliver","last_name":"Niggemann"}],"year":"2023","main_file_link":[{"open_access":"1"}],"status":"public","page":"37-54","title":"Die steigende Bedeutung des Digital Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung","citation":{"apa":"Deuter, A., Wehmeier, L., Ali, A., Bach, R., Schultz, C., Eilermann, S., &#38; Niggemann, O. (2023). Die steigende Bedeutung des Digital Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung. In <i>VDI-Berichte Nr. 2419</i> (pp. 37–54). VDI Verlag. <a href=\"https://doi.org/10.51202/9783181024195-37\">https://doi.org/10.51202/9783181024195-37</a>","chicago":"Deuter, Andreas, Leon Wehmeier, Asmar Ali, Roland Bach, Christoph Schultz, Sebastian Eilermann, and Oliver Niggemann. <i>Die steigende Bedeutung des Digital Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung</i>. <i>VDI-Berichte Nr. 2419</i>. Düsseldorf: VDI Verlag, 2023. <a href=\"https://doi.org/10.51202/9783181024195-37\">https://doi.org/10.51202/9783181024195-37</a>.","van":"Deuter A, Wehmeier L, Ali A, Bach R, Schultz C, Eilermann S, et al. Die steigende Bedeutung des Digital Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung. VDI-Berichte Nr. 2419. Düsseldorf: VDI Verlag; 2023.","ufg":"<b>Deuter, Andreas u. a.</b>: Die steigende Bedeutung des Digital Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung, Düsseldorf 2023.","havard":"A. Deuter, L. Wehmeier, A. Ali, R. Bach, C. Schultz, S. Eilermann, O. Niggemann, Die steigende Bedeutung des Digital Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung, VDI Verlag, Düsseldorf, 2023.","bjps":"<b>Deuter A <i>et al.</i></b> (2023) <i>Die steigende Bedeutung des Digital Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung</i>. Düsseldorf: VDI Verlag.","mla":"Deuter, Andreas, et al. “Die steigende Bedeutung des Digital Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung.” <i>VDI-Berichte Nr. 2419</i>, VDI Verlag, 2023, pp. 37–54, <a href=\"https://doi.org/10.51202/9783181024195-37\">https://doi.org/10.51202/9783181024195-37</a>.","short":"A. Deuter, L. Wehmeier, A. Ali, R. Bach, C. Schultz, S. Eilermann, O. Niggemann, Die steigende Bedeutung des Digital Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung, VDI Verlag, Düsseldorf, 2023.","chicago-de":"Deuter, Andreas, Leon Wehmeier, Asmar Ali, Roland Bach, Christoph Schultz, Sebastian Eilermann und Oliver Niggemann. 2023. <i>Die steigende Bedeutung des Digital Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung</i>. <i>VDI-Berichte Nr. 2419</i>. Düsseldorf: VDI Verlag. doi:<a href=\"https://doi.org/10.51202/9783181024195-37\">10.51202/9783181024195-37</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Deuter, Andreas</span> ; <span style=\"font-variant:small-caps;\">Wehmeier, Leon</span> ; <span style=\"font-variant:small-caps;\">Ali, Asmar</span> ; <span style=\"font-variant:small-caps;\">Bach, Roland</span> ; <span style=\"font-variant:small-caps;\">Schultz, Christoph</span> ; <span style=\"font-variant:small-caps;\">Eilermann, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Niggemann, Oliver</span>: <i>Die steigende Bedeutung des Digital Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung</i>. Düsseldorf : VDI Verlag, 2023","ieee":"A. Deuter <i>et al.</i>, <i>Die steigende Bedeutung des Digital Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung</i>. Düsseldorf: VDI Verlag, 2023, pp. 37–54. doi: <a href=\"https://doi.org/10.51202/9783181024195-37\">10.51202/9783181024195-37</a>.","ama":"Deuter A, Wehmeier L, Ali A, et al. <i>Die steigende Bedeutung des Digital Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung</i>. VDI Verlag; 2023:37-54. doi:<a href=\"https://doi.org/10.51202/9783181024195-37\">10.51202/9783181024195-37</a>"},"oa":"1","language":[{"iso":"ger"}],"publication":"VDI-Berichte Nr. 2419","publication_identifier":{"eissn":["978-3-18-102419-5 "],"isbn":["978-3-18-092419-9 "]},"date_created":"2024-01-09T11:00:59Z","date_updated":"2024-01-24T10:03:46Z","conference":{"name":"Automation 2023","location":"Baden-Baden"},"department":[{"_id":"DEP7022"},{"_id":"DEP1306"},{"_id":"DEP7001"}],"abstract":[{"text":"Aufgrund der kontinuierlich voranschreitenden Fertigungsautomation als Bestandteil der Digital Factory und des demografischen Wandels ist ein zunehmender Bedarf an Personal mit IT Expertise in vielen verschiedenen industriellen Bereichen erkennbar. In diesem Zusammenhang zeigen Künstliche Intelligenz (KI)-basierende Intelligent Tutoring Systeme (ITS) großes Potenzial den aufgezeigten Schulungsbedarf teilweise zu decken. Hierbei treffen besondere Anforderungen aus technischen, rechtlichen und organisatorischen Bereichen aufeinander, die für Unternehmen sowohl Chancen als auch Herausforderungen darstellen. Im Rahmen dieses Beitrags wird auf die Potentiale eines Digital Twin als Ergebnis der Fertigungsautomation und Bestandteil eines KI-basierenden ITS zur Unterstützung des Kompetenzerwerbs in der Aus- und Weiterbildung für die Fertigungsautomation eingegangen. Ziel ist es, die Chancen von individuell angepassten Aufgaben in einem ITS in Zusammenwirken mit einem Digital Twin für Unternehmen und Mitarbeiter sowie die dabei auftretenden Herausforderungen aufzuzeigen. Abschließend wird das Potenzial eines um einen Digital Twin erweitertes ITS anhand eines von uns entwickelten ITS in einer Fallstudie aufgezeigt.","lang":"ger"}],"publisher":"VDI Verlag","quality_controlled":"1","publication_status":"published","place":"Düsseldorf","_id":"10923","doi":"10.51202/9783181024195-37","type":"conference_editor_article","user_id":"83780"},{"status":"public","year":"2023","author":[{"full_name":"Eilermann, Sebastian","first_name":"Sebastian","last_name":"Eilermann"},{"full_name":"Wehmeier, Leon","id":"81257","last_name":"Wehmeier","first_name":"Leon"},{"last_name":"Niggemann","first_name":"Oliver","full_name":"Niggemann, Oliver"},{"orcid":"0000-0002-6529-6215","full_name":"Deuter, Andreas","first_name":"Andreas","last_name":"Deuter","id":"62088"}],"citation":{"short":"S. Eilermann, L. Wehmeier, O. Niggemann, A. Deuter, KIAAA: An AI Assistant for Teaching Programming in the Field of Automation, IEEE, [Piscataway, NJ], 2023.","chicago-de":"Eilermann, Sebastian, Leon Wehmeier, Oliver Niggemann und Andreas Deuter. 2023. <i>KIAAA: An AI Assistant for Teaching Programming in the Field of Automation</i>. Hg. von Jürgen Jasperneite, IEEE International Conference on Industrial Informatics , und Institute of Electrical and Electronics Engineers. <i>2023 IEEE 21st International Conference on Industrial Informatics (INDIN)</i>. [Piscataway, NJ]: IEEE. doi:<a href=\"https://doi.org/10.1109/indin51400.2023.10218157\">10.1109/indin51400.2023.10218157</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Eilermann, Sebastian</span> ; <span style=\"font-variant:small-caps;\">Wehmeier, Leon</span> ; <span style=\"font-variant:small-caps;\">Niggemann, Oliver</span> ; <span style=\"font-variant:small-caps;\">Deuter, Andreas</span> ; <span style=\"font-variant:small-caps;\">Jasperneite, J.</span> ; <span style=\"font-variant:small-caps;\">IEEE International Conference on Industrial Informatics </span> ; <span style=\"font-variant:small-caps;\">Institute of Electrical and Electronics Engineers</span> (Hrsg.): <i>KIAAA: An AI Assistant for Teaching Programming in the Field of Automation</i>. [Piscataway, NJ] : IEEE, 2023","van":"Eilermann S, Wehmeier L, Niggemann O, Deuter A. KIAAA: An AI Assistant for Teaching Programming in the Field of Automation. Jasperneite J, IEEE International Conference on Industrial Informatics , Institute of Electrical and Electronics Engineers, editors. 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). [Piscataway, NJ]: IEEE; 2023.","bjps":"<b>Eilermann S <i>et al.</i></b> (2023) <i>KIAAA: An AI Assistant for Teaching Programming in the Field of Automation</i>, Jasperneite J, IEEE International Conference on Industrial Informatics , and Institute of Electrical and Electronics Engineers (eds). [Piscataway, NJ]: IEEE.","mla":"Eilermann, Sebastian, et al. “KIAAA: An AI Assistant for Teaching Programming in the Field of Automation.” <i>2023 IEEE 21st International Conference on Industrial Informatics (INDIN)</i>, edited by Jürgen Jasperneite et al., IEEE, 2023, <a href=\"https://doi.org/10.1109/indin51400.2023.10218157\">https://doi.org/10.1109/indin51400.2023.10218157</a>.","havard":"S. Eilermann, L. Wehmeier, O. Niggemann, A. Deuter, KIAAA: An AI Assistant for Teaching Programming in the Field of Automation, IEEE, [Piscataway, NJ], 2023.","ufg":"<b>Eilermann, Sebastian u. a.</b>: KIAAA: An AI Assistant for Teaching Programming in the Field of Automation, hg. von Jasperneite, Jürgen/IEEE International Conference on Industrial Informatics , Institute of Electrical and Electronics Engineers, [Piscataway, NJ] 2023.","apa":"Eilermann, S., Wehmeier, L., Niggemann, O., &#38; Deuter, A. (2023). KIAAA: An AI Assistant for Teaching Programming in the Field of Automation. In J. Jasperneite, IEEE International Conference on Industrial Informatics , &#38; Institute of Electrical and Electronics Engineers (Eds.), <i>2023 IEEE 21st International Conference on Industrial Informatics (INDIN)</i>. IEEE. <a href=\"https://doi.org/10.1109/indin51400.2023.10218157\">https://doi.org/10.1109/indin51400.2023.10218157</a>","chicago":"Eilermann, Sebastian, Leon Wehmeier, Oliver Niggemann, and Andreas Deuter. <i>KIAAA: An AI Assistant for Teaching Programming in the Field of Automation</i>. Edited by Jürgen Jasperneite, IEEE International Conference on Industrial Informatics , and Institute of Electrical and Electronics Engineers. <i>2023 IEEE 21st International Conference on Industrial Informatics (INDIN)</i>. [Piscataway, NJ]: IEEE, 2023. <a href=\"https://doi.org/10.1109/indin51400.2023.10218157\">https://doi.org/10.1109/indin51400.2023.10218157</a>.","ama":"Eilermann S, Wehmeier L, Niggemann O, Deuter A. <i>KIAAA: An AI Assistant for Teaching Programming in the Field of Automation</i>. (Jasperneite J, IEEE International Conference on Industrial Informatics , Institute of Electrical and Electronics Engineers, eds.). IEEE; 2023. doi:<a href=\"https://doi.org/10.1109/indin51400.2023.10218157\">10.1109/indin51400.2023.10218157</a>","ieee":"S. Eilermann, L. Wehmeier, O. Niggemann, and A. Deuter, <i>KIAAA: An AI Assistant for Teaching Programming in the Field of Automation</i>. [Piscataway, NJ]: IEEE, 2023. doi: <a href=\"https://doi.org/10.1109/indin51400.2023.10218157\">10.1109/indin51400.2023.10218157</a>."},"title":"KIAAA: An AI Assistant for Teaching Programming in the Field of Automation","keyword":["Visualization","Automation","Education","Games","Hybrid power systems","Task analysis","Artificial intelligence"],"language":[{"iso":"eng"}],"date_updated":"2025-06-24T09:38:24Z","corporate_editor":["IEEE International Conference on Industrial Informatics ","Institute of Electrical and Electronics Engineers"],"editor":[{"id":"1899","first_name":"Jürgen","full_name":"Jasperneite, Jürgen","last_name":"Jasperneite"}],"publication":"2023 IEEE 21st International Conference on Industrial Informatics (INDIN)","publication_identifier":{"eisbn":["978-1-6654-9313-0"],"isbn":["978-1-6654-9314-7"]},"date_created":"2025-06-24T09:24:47Z","publisher":"IEEE","quality_controlled":"1","department":[{"_id":"DEP7022"},{"_id":"DEP1306"},{"_id":"DEP7001"}],"conference":{"location":"Lemgo","name":"21st International Conference on Industrial Informatics (INDIN)","start_date":"2023-07-18","end_date":"2023-07-20"},"abstract":[{"lang":"eng","text":"Especially in highly interdisciplinary fields such as automation engineering, contemporary programming education with tailored assignments and individual feedback is a major challenge for educational institutions due to the increasing number of students per teacher and the ever-increasing demand for computer science professionals. To address this gap, we present ”KIAAA” an AI Assistant for Automation Engineering Teaching, a work-in-progress approach for an integrated, customized, and AI-based learning support system for automation and programming courses based on instructor-defined course objectives. Thereby in the KIAAA system, the individual knowledge level of the students is determined and individually tailored virtual learning scenarios are generated based on the knowledge and learning profile of the students. These are iteratively adapted based on the answers given. To achieve this, KIAAA uses several AI components, a hybrid rule-based scenario generation component, a Help-DKT-based cognitive model, and a solution assessor that uses a combination of traditional code analysis methods and AI-based analyses methods for automated programming task assessment. These components are the main parts of KIAAA to generate customized programming scenarios as well as visualization and simulation based on a modern game and physics engine."}],"publication_status":"published","place":"[Piscataway, NJ]","_id":"13010","doi":"10.1109/indin51400.2023.10218157","user_id":"83781","type":"conference_editor_article"}]