---
_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. 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,
eds.). IEEE; 2024. doi:10.1109/fie58773.2023.10343228'
apa: 'Ali, A., Deuter, A., & 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, & American Society for Engineering
Education (Eds.), FIE 2023 : College Station, TX, USA, October 18-21, 2023 :
conference proceedings / 2023 IEEE Frontiers in Education Conference (FIE).
IEEE. https://doi.org/10.1109/fie58773.2023.10343228'
bjps: 'Ali A, Deuter A and Wehmeier L (2024) Personalized Learning in
Automation: A 3D AI-Based Approach, 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. Personalized Learning
in Automation: A 3D AI-Based Approach. Edited by IEEE ASEE Frontiers in Education
Conference, Institute of Electrical and Electronics Engineers, and American Society
for Engineering Education. FIE 2023 : College Station, TX, USA, October 18-21,
2023 : Conference Proceedings / 2023 IEEE Frontiers in Education Conference (FIE).
[Piscataway, NJ]: IEEE, 2024. https://doi.org/10.1109/fie58773.2023.10343228.'
chicago-de: 'Ali, Asmar, Andreas Deuter und Leon Wehmeier. 2024. Personalized
Learning in Automation: A 3D AI-Based Approach. Hg. von IEEE ASEE Frontiers
in Education Conference, Institute of Electrical and Electronics Engineers, und
American Society for Engineering Education. FIE 2023 : College Station, TX,
USA, October 18-21, 2023 : conference proceedings / 2023 IEEE Frontiers in Education
Conference (FIE). [Piscataway, NJ]: IEEE. doi:10.1109/fie58773.2023.10343228,
.'
din1505-2-1: 'Ali, Asmar ; Deuter,
Andreas ; Wehmeier, Leon
; IEEE ASEE Frontiers in Education Conference
; Institute of Electrical and Electronics
Engineers ; American Society for
Engineering Education (Hrsg.): Personalized Learning in Automation:
A 3D AI-Based Approach. [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, Personalized Learning in Automation:
A 3D AI-Based Approach. [Piscataway, NJ]: IEEE, 2024. doi: 10.1109/fie58773.2023.10343228.'
mla: 'Ali, Asmar, et al. “Personalized Learning in Automation: A 3D AI-Based Approach.”
FIE 2023 : College Station, TX, USA, October 18-21, 2023 : Conference Proceedings
/ 2023 IEEE Frontiers in Education Conference (FIE), edited by IEEE ASEE Frontiers
in Education Conference et al., IEEE, 2024, https://doi.org/10.1109/fie58773.2023.10343228.'
short: 'A. Ali, A. Deuter, L. Wehmeier, Personalized Learning in Automation: A 3D
AI-Based Approach, IEEE, [Piscataway, NJ], 2024.'
ufg: 'Ali, Asmar/Deuter, Andreas/Wehmeier, Leon: 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: '12993'
abstract:
- lang: eng
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.
author:
- first_name: Leon
full_name: Wehmeier, Leon
id: '81257'
last_name: Wehmeier
- first_name: Sebastian
full_name: Eilermann, Sebastian
last_name: Eilermann
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
- first_name: Andreas
full_name: Deuter, Andreas
id: '62088'
last_name: Deuter
orcid: 0000-0002-6529-6215
citation:
ama: 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, eds.). IEEE; 2024. doi:10.1109/fie58773.2023.10342916
apa: 'Wehmeier, L., Eilermann, S., Niggemann, O., & 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, &
American Society for Engineering Education (Eds.), FIE 2023 : College Station,
TX, USA, October 18-21, 2023 : conference proceedings / 2023 IEEE Frontiers in
Education Conference (FIE). IEEE. https://doi.org/10.1109/fie58773.2023.10342916'
bjps: 'Wehmeier L et al. (2024) Task-Fidelity Assessment for Programming
Tasks Using Semantic Code Analysis, IEEE ASEE Frontiers in Education Conference,
Institute of Electrical and Electronics Engineers, and American Society for Engineering
Education (eds). [Piscataway, NJ]: IEEE.'
chicago: 'Wehmeier, Leon, Sebastian Eilermann, Oliver Niggemann, and Andreas Deuter.
Task-Fidelity Assessment for Programming Tasks Using Semantic Code Analysis.
Edited by IEEE ASEE Frontiers in Education Conference, Institute of Electrical
and Electronics Engineers, and American Society for Engineering Education. FIE
2023 : College Station, TX, USA, October 18-21, 2023 : Conference Proceedings
/ 2023 IEEE Frontiers in Education Conference (FIE). [Piscataway, NJ]: IEEE,
2024. https://doi.org/10.1109/fie58773.2023.10342916.'
chicago-de: 'Wehmeier, Leon, Sebastian Eilermann, Oliver Niggemann und Andreas Deuter.
2024. Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis.
Hg. von IEEE ASEE Frontiers in Education Conference, Institute of Electrical and
Electronics Engineers, und American Society for Engineering Education. FIE
2023 : College Station, TX, USA, October 18-21, 2023 : conference proceedings
/ 2023 IEEE Frontiers in Education Conference (FIE). [Piscataway, NJ]: IEEE.
doi:10.1109/fie58773.2023.10342916,
.'
din1505-2-1: 'Wehmeier, Leon ; Eilermann, Sebastian ; Niggemann,
Oliver ; Deuter, Andreas
; IEEE ASEE Frontiers in Education Conference
; Institute of Electrical and Electronics
Engineers ; American Society for
Engineering Education (Hrsg.): Task-fidelity Assessment for Programming
Tasks Using Semantic Code Analysis. [Piscataway, NJ] : IEEE, 2024'
havard: L. Wehmeier, S. Eilermann, O. Niggemann, A. Deuter, Task-fidelity Assessment
for Programming Tasks Using Semantic Code Analysis, IEEE, [Piscataway, NJ], 2024.
ieee: 'L. Wehmeier, S. Eilermann, O. Niggemann, and A. Deuter, Task-fidelity
Assessment for Programming Tasks Using Semantic Code Analysis. [Piscataway,
NJ]: IEEE, 2024. doi: 10.1109/fie58773.2023.10342916.'
mla: 'Wehmeier, Leon, et al. “Task-Fidelity Assessment for Programming Tasks Using
Semantic Code Analysis.” FIE 2023 : College Station, TX, USA, October 18-21,
2023 : Conference Proceedings / 2023 IEEE Frontiers in Education Conference (FIE),
edited by IEEE ASEE Frontiers in Education Conference et al., IEEE, 2024, https://doi.org/10.1109/fie58773.2023.10342916.'
short: L. Wehmeier, S. Eilermann, O. Niggemann, A. Deuter, Task-Fidelity Assessment
for Programming Tasks Using Semantic Code Analysis, IEEE, [Piscataway, NJ], 2024.
ufg: 'Wehmeier, Leon u. a.: 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.'
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.'
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: 2025-06-18T13:05:11Z
date_updated: 2025-06-18T13:23:56Z
department:
- _id: DEP7022
- _id: DEP1306
- _id: DEP7001
doi: 10.1109/fie58773.2023.10342916
keyword:
- Codes
- Electronic learning
- Soft sensors
- Semantics
- Education
- Syntactics
- Task analysis
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: Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis
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. Die steigende Bedeutung des Digital
Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung.
VDI Verlag; 2023:37-54. doi:10.51202/9783181024195-37
apa: Deuter, A., Wehmeier, L., Ali, A., Bach, R., Schultz, C., Eilermann, S., &
Niggemann, O. (2023). Die steigende Bedeutung des Digital Twins als Bestandteil
eines Intelligent Tutoring Systems in der Automatisierung. In VDI-Berichte
Nr. 2419 (pp. 37–54). VDI Verlag. https://doi.org/10.51202/9783181024195-37
bjps: 'Deuter A et al. (2023) Die steigende Bedeutung des Digital
Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung.
Düsseldorf: VDI Verlag.'
chicago: 'Deuter, Andreas, Leon Wehmeier, Asmar Ali, Roland Bach, Christoph Schultz,
Sebastian Eilermann, and Oliver Niggemann. Die steigende Bedeutung des Digital
Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung.
VDI-Berichte Nr. 2419. Düsseldorf: VDI Verlag, 2023. https://doi.org/10.51202/9783181024195-37.'
chicago-de: 'Deuter, Andreas, Leon Wehmeier, Asmar Ali, Roland Bach, Christoph Schultz,
Sebastian Eilermann und Oliver Niggemann. 2023. Die steigende Bedeutung des
Digital Twins als Bestandteil eines Intelligent Tutoring Systems in der Automatisierung.
VDI-Berichte Nr. 2419. Düsseldorf: VDI Verlag. doi:10.51202/9783181024195-37,
.'
din1505-2-1: 'Deuter, Andreas ; Wehmeier, Leon ; Ali,
Asmar ; Bach, Roland ; Schultz, Christoph ; Eilermann,
Sebastian ; Niggemann, Oliver:
Die steigende Bedeutung des Digital Twins als Bestandteil eines Intelligent
Tutoring Systems in der Automatisierung. 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 et al., Die steigende Bedeutung des Digital Twins als
Bestandteil eines Intelligent Tutoring Systems in der Automatisierung. Düsseldorf:
VDI Verlag, 2023, pp. 37–54. doi: 10.51202/9783181024195-37.'
mla: Deuter, Andreas, et al. “Die steigende Bedeutung des Digital Twins als Bestandteil
eines Intelligent Tutoring Systems in der Automatisierung.” VDI-Berichte Nr.
2419, VDI Verlag, 2023, pp. 37–54, https://doi.org/10.51202/9783181024195-37.
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: 'Deuter, Andreas u. a.: 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: '13010'
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.
author:
- first_name: Sebastian
full_name: Eilermann, Sebastian
last_name: Eilermann
- first_name: Leon
full_name: Wehmeier, Leon
id: '81257'
last_name: Wehmeier
- first_name: Oliver
full_name: Niggemann, Oliver
last_name: Niggemann
- first_name: Andreas
full_name: Deuter, Andreas
id: '62088'
last_name: Deuter
orcid: 0000-0002-6529-6215
citation:
ama: '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, eds.). IEEE; 2023. doi:10.1109/indin51400.2023.10218157'
apa: 'Eilermann, S., Wehmeier, L., Niggemann, O., & Deuter, A. (2023). KIAAA:
An AI Assistant for Teaching Programming in the Field of Automation. In J. Jasperneite,
IEEE International Conference on Industrial Informatics , & Institute of Electrical
and Electronics Engineers (Eds.), 2023 IEEE 21st International Conference on
Industrial Informatics (INDIN). IEEE. https://doi.org/10.1109/indin51400.2023.10218157'
bjps: 'Eilermann S et al. (2023) KIAAA: An AI Assistant for Teaching
Programming in the Field of Automation, Jasperneite J, IEEE International
Conference on Industrial Informatics , and Institute of Electrical and Electronics
Engineers (eds). [Piscataway, NJ]: IEEE.'
chicago: 'Eilermann, Sebastian, Leon Wehmeier, Oliver Niggemann, and Andreas Deuter.
KIAAA: An AI Assistant for Teaching Programming in the Field of Automation.
Edited by Jürgen Jasperneite, IEEE International Conference on Industrial Informatics
, and Institute of Electrical and Electronics Engineers. 2023 IEEE 21st International
Conference on Industrial Informatics (INDIN). [Piscataway, NJ]: IEEE, 2023.
https://doi.org/10.1109/indin51400.2023.10218157.'
chicago-de: 'Eilermann, Sebastian, Leon Wehmeier, Oliver Niggemann und Andreas Deuter.
2023. KIAAA: An AI Assistant for Teaching Programming in the Field of Automation.
Hg. von Jürgen Jasperneite, IEEE International Conference on Industrial Informatics
, und Institute of Electrical and Electronics Engineers. 2023 IEEE 21st International
Conference on Industrial Informatics (INDIN). [Piscataway, NJ]: IEEE. doi:10.1109/indin51400.2023.10218157,
.'
din1505-2-1: 'Eilermann, Sebastian
; Wehmeier, Leon ; Niggemann,
Oliver ; Deuter, Andreas
; Jasperneite, J. ; IEEE
International Conference on Industrial Informatics ; Institute
of Electrical and Electronics Engineers (Hrsg.): KIAAA: An AI Assistant
for Teaching Programming in the Field of Automation. [Piscataway, NJ] : IEEE,
2023'
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.'
ieee: 'S. Eilermann, L. Wehmeier, O. Niggemann, and A. Deuter, KIAAA: An AI Assistant
for Teaching Programming in the Field of Automation. [Piscataway, NJ]: IEEE,
2023. doi: 10.1109/indin51400.2023.10218157.'
mla: 'Eilermann, Sebastian, et al. “KIAAA: An AI Assistant for Teaching Programming
in the Field of Automation.” 2023 IEEE 21st International Conference on Industrial
Informatics (INDIN), edited by Jürgen Jasperneite et al., IEEE, 2023, https://doi.org/10.1109/indin51400.2023.10218157.'
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.'
ufg: 'Eilermann, Sebastian u. a.: 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.'
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.'
conference:
end_date: 2023-07-20
location: Lemgo
name: 21st International Conference on Industrial Informatics (INDIN)
start_date: 2023-07-18
corporate_editor:
- 'IEEE International Conference on Industrial Informatics '
- Institute of Electrical and Electronics Engineers
date_created: 2025-06-24T09:24:47Z
date_updated: 2025-06-24T09:38:24Z
department:
- _id: DEP7022
- _id: DEP1306
- _id: DEP7001
doi: 10.1109/indin51400.2023.10218157
editor:
- first_name: Jürgen
full_name: Jasperneite, Jürgen
id: '1899'
last_name: Jasperneite
keyword:
- Visualization
- Automation
- Education
- Games
- Hybrid power systems
- Task analysis
- Artificial intelligence
language:
- iso: eng
place: '[Piscataway, NJ]'
publication: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
publication_identifier:
eisbn:
- 978-1-6654-9313-0
isbn:
- 978-1-6654-9314-7
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: 'KIAAA: An AI Assistant for Teaching Programming in the Field of Automation'
type: conference_editor_article
user_id: '83781'
year: '2023'
...