---
_id: '12992'
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.
author:
- first_name: Asmar
  full_name: Ali, Asmar
  id: '78685'
  last_name: Ali
- first_name: Andreas
  full_name: Deuter, Andreas
  id: '62088'
  last_name: Deuter
  orcid: 0000-0002-6529-6215
- first_name: Leon
  full_name: Wehmeier, Leon
  id: '81257'
  last_name: Wehmeier
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>'
  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>'
  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.'
  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>.'
  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'
  havard: 'A. Ali, A. Deuter, L. Wehmeier, Personalized Learning in Automation: A
    3D AI-Based Approach, IEEE, [Piscataway, NJ], 2024.'
  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>.'
  short: '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.'
conference:
  end_date: 2023-10-21
  location: Texas
  name: 2023 IEEE Frontiers in Education Conference (FIE)
  start_date: 2023-10-18
corporate_editor:
- IEEE ASEE Frontiers in Education Conference
- Institute of Electrical and Electronics Engineers
- American Society for Engineering Education
date_created: 2025-06-18T12:57:37Z
date_updated: 2025-06-18T13:01:55Z
department:
- _id: DEP7022
- _id: DEP1306
- _id: DEP7001
doi: 10.1109/fie58773.2023.10343228
language:
- iso: eng
place: '[Piscataway, NJ]'
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
publication_status: published
publisher: IEEE
status: public
title: 'Personalized Learning in Automation: A 3D AI-Based Approach'
type: conference_editor_article
user_id: '83781'
year: '2024'
...
---
_id: '10923'
abstract:
- lang: ger
  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.
author:
- first_name: Andreas
  full_name: Deuter, Andreas
  id: '62088'
  last_name: Deuter
  orcid: 0000-0002-6529-6215
- first_name: Leon
  full_name: Wehmeier, Leon
  id: '81257'
  last_name: Wehmeier
- first_name: Asmar
  full_name: Ali, Asmar
  id: '78685'
  last_name: Ali
- first_name: Roland
  full_name: Bach, Roland
  last_name: Bach
- first_name: Christoph
  full_name: Schultz, Christoph
  last_name: Schultz
- first_name: Sebastian
  full_name: Eilermann, Sebastian
  last_name: Eilermann
- first_name: Oliver
  full_name: Niggemann, Oliver
  last_name: Niggemann
citation:
  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>
  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>
  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.'
  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>.'
  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'
  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.
  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>.'
  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.
  ufg: '<b>Deuter, Andreas u. a.</b>: Die steigende Bedeutung des Digital Twins als
    Bestandteil eines Intelligent Tutoring Systems in der Automatisierung, Düsseldorf
    2023.'
  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.'
conference:
  location: Baden-Baden
  name: Automation 2023
date_created: 2024-01-09T11:00:59Z
date_updated: 2024-01-24T10:03:46Z
department:
- _id: DEP7022
- _id: DEP1306
- _id: DEP7001
doi: 10.51202/9783181024195-37
language:
- iso: ger
main_file_link:
- open_access: '1'
oa: '1'
page: 37-54
place: Düsseldorf
publication: VDI-Berichte Nr. 2419
publication_identifier:
  eissn:
  - '978-3-18-102419-5 '
  isbn:
  - '978-3-18-092419-9 '
publication_status: published
publisher: VDI Verlag
quality_controlled: '1'
status: public
title: Die steigende Bedeutung des Digital Twins als Bestandteil eines Intelligent
  Tutoring Systems in der Automatisierung
type: conference_editor_article
user_id: '83780'
year: '2023'
...
---
_id: '10935'
abstract:
- lang: eng
  text: One of the challenges in universities is to take into account the different
    competences of students throughout the process of imparting knowledge. It is unlikely
    that all students will grasp the course content in the same way, as they have
    different abilities. Similarly, it is unrealistic for teachers to address all
    the individual needs of each student at all times. In addition, maintaining learners'
    attention to a particular topic is also an essential part of teaching. To overcome
    these challenges, we are developing AI learning software as part of a research
    project. The software generates learning scenarios for the students and takes
    their individual competences into account. The research project focuses on the
    field of automation technology, especially on programming, as programming skills
    are usually required in automation environments. When solving the scenarios, students
    receive immediate feedback on how well they have solved the task. Immediate automated
    feedback not only meets the students' expectations of quick learning feedback,
    but it also relieves the teaching staff in the assessment process. In addition,
    the software includes an interactive user interface that allows learners to see
    the results of their programming tasks in a simulated 3D environment. This approach
    aims to maintain learners' attention over a longer learning period. This paper
    describes the above aspects that are being developed in the research project and
    previews the new learning opportunities that could arise from the use of AI.
author:
- first_name: Asmar
  full_name: Ali, Asmar
  id: '78685'
  last_name: Ali
- first_name: Andreas
  full_name: Deuter, Andreas
  id: '62088'
  last_name: Deuter
  orcid: 0000-0002-6529-6215
citation:
  ama: 'Ali A, Deuter A. An AI Assistant for Education in Automation. <i>Journal of
    international scientific publications / Science &#38; Education Foundation : Educational
    Alternatives </i>. 2023;21:12-20. doi:<a href="https://doi.org/10.62991/EA1996108906">10.62991/EA1996108906</a>'
  apa: 'Ali, A., &#38; Deuter, A. (2023). An AI Assistant for Education in Automation.
    <i>Journal of International Scientific Publications / Science &#38; Education
    Foundation : Educational Alternatives </i>, <i>21</i>, 12–20. <a href="https://doi.org/10.62991/EA1996108906">https://doi.org/10.62991/EA1996108906</a>'
  bjps: '<b>Ali A and Deuter A</b> (2023) An AI Assistant for Education in Automation.
    <i>Journal of international scientific publications / Science &#38; Education
    Foundation : Educational Alternatives </i> <b>21</b>, 12–20.'
  chicago: 'Ali, Asmar, and Andreas Deuter. “An AI Assistant for Education in Automation.”
    <i>Journal of International Scientific Publications / Science &#38; Education
    Foundation : Educational Alternatives </i> 21 (2023): 12–20. <a href="https://doi.org/10.62991/EA1996108906">https://doi.org/10.62991/EA1996108906</a>.'
  chicago-de: 'Ali, Asmar und Andreas Deuter. 2023. An AI Assistant for Education
    in Automation. <i>Journal of international scientific publications / Science &#38;
    Education Foundation : Educational Alternatives </i> 21: 12–20. doi:<a href="https://doi.org/10.62991/EA1996108906">10.62991/EA1996108906</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Ali, Asmar</span> ; <span style="font-variant:small-caps;">Deuter,
    Andreas</span>: An AI Assistant for Education in Automation. In: <i>Journal of
    international scientific publications / Science &#38; Education Foundation : Educational
    Alternatives </i> Bd. 21. [Erscheinungsort nicht ermittelbar], Info Invest  (2023),
    S. 12–20'
  havard: 'A. Ali, A. Deuter, An AI Assistant for Education in Automation, Journal
    of International Scientific Publications / Science &#38; Education Foundation :
    Educational Alternatives . 21 (2023) 12–20.'
  ieee: 'A. Ali and A. Deuter, “An AI Assistant for Education in Automation,” <i>Journal
    of international scientific publications / Science &#38; Education Foundation :
    Educational Alternatives </i>, vol. 21, pp. 12–20, 2023, doi: <a href="https://doi.org/10.62991/EA1996108906">10.62991/EA1996108906</a>.'
  mla: 'Ali, Asmar, and Andreas Deuter. “An AI Assistant for Education in Automation.”
    <i>Journal of International Scientific Publications / Science &#38; Education
    Foundation : Educational Alternatives </i>, vol. 21, 2023, pp. 12–20, <a href="https://doi.org/10.62991/EA1996108906">https://doi.org/10.62991/EA1996108906</a>.'
  short: 'A. Ali, A. Deuter, Journal of International Scientific Publications / Science
    &#38; Education Foundation : Educational Alternatives  21 (2023) 12–20.'
  ufg: '<b>Ali, Asmar/Deuter, Andreas</b>: An AI Assistant for Education in Automation,
    in: <i>Journal of international scientific publications / Science &#38; Education
    Foundation : Educational Alternatives </i> 21 (2023),  S. 12–20.'
  van: 'Ali A, Deuter A. An AI Assistant for Education in Automation. Journal of international
    scientific publications / Science &#38; Education Foundation : Educational Alternatives
    . 2023;21:12–20.'
conference:
  end_date: 2023-08-26
  location: Burgas
  name: 14th International Conference Education, Research & Development
  start_date: 2023-08-24
date_created: 2024-01-09T13:25:08Z
date_updated: 2025-06-12T14:01:23Z
department:
- _id: DEP7022
- _id: DEP1306
- _id: DEP7001
doi: 10.62991/EA1996108906
intvolume: '        21'
keyword:
- ai education
- automated feedback
- automation education
- educational software
- programming
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.scientific-publications.net/en/article/1002566/
oa: '1'
page: 12-20
place: '[Erscheinungsort nicht ermittelbar]'
publication: 'Journal of international scientific publications / Science & Education
  Foundation : Educational Alternatives '
publication_identifier:
  issn:
  - 1313-2571
publication_status: published
publisher: 'Info Invest '
status: public
title: An AI Assistant for Education in Automation
type: industry_journal_article
user_id: '83781'
volume: 21
year: '2023'
...