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1Preface to the Special Issue “Copula modeling from Abe Sklar to the present day”
C. Genest, O. Okhrin, and T. Bodnar. Journal of Multivariate Analysis, (May 2024)
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1Vision-Based DRL Autonomous Driving Agent with Sim2Real Transfer
D. Li, and O. Okhrin. 2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023, page 866--873. United States of America, Institute of Electrical and Electronics Engineers Inc., (2023)Publisher Copyright: © 2023 IEEE.; 26th IEEE International Conference on Intelligent Transportation Systems : Towards a New Era of Human-aware, Human-interactive, and Human-friendly ITS, ITSC 2023 ; Conference date: 24-09-2023 Through 28-09-2023.
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1Dynamic tail risk forecasting: what do realized skewness and kurtosis add?
G. Gallo, O. Okhrin, and G. Storti. WorkingPaper, (Sep 20, 2024)
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1Developing a numerical modelling strategy for metallic pin pressing processes in fibre reinforced thermoplastics to investigate fibre rearrangement mechanisms during joining
B. Gröger, J. Gerritzen, A. Hornig, and M. Gude. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 238 (12): 2286--2298 (Nov 15, 2024)Publisher Copyright: © IMechE 2024..
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Arbitrary
Eulerian,
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Joining,
Lagrangian
composite,
simulation
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1A methodology for direct parameter identification for experimental results using machine learning — Real world application to the highly non-linear deformation behavior of FRP
J. Gerritzen, A. Hornig, P. Winkler, and M. Gude. Computational Materials Science, (September 2024)Publisher Copyright: © 2024 The Author(s).
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area_architectures
Constitutive
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Fiber
Machine
Neural
Parameter
identification
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networks,
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reinforced
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1Modelling delamination in fibre-reinforced composites subjected to through-thickness compression by an adapted cohesive law
M. Kuhtz, J. Gerritzen, J. Wiegand, A. Hornig, and M. Gude. 14th European LS-DYNA Users Conference, DYNAmore GmbH, (October 2023)14th European LS-DYNA Conference 2023 ; Conference date: 18-10-2023 Through 19-10-2023.
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1Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning
J. Gerritzen, A. Hornig, P. Winkler, and M. Gude. ECCM21 - Proceedings of the 21st European Conference on Composite Materials, 3, page 1252--1259. European Society for Composite Materials (ESCM), (Jul 2, 2024)21st European Conference on Composite Materials, ECCM 21 ; Conference date: 02-07-2024 Through 05-07-2024.
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Fiber
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dependency,
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plastics
rate
reinforced
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1Graph based process models as basis for efficient data driven surrogates - Expediting the material development process
J. Gerritzen, A. Hornig, and M. Gude. WorkingPaper, Open Engineering Inc., (Nov 16, 2024)
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1Digitalized composite material and product development – strategies and methods for multiscale experimental-numerical validation processes using PLM and MBSE approaches
J. Richter, {. Dammann, M. Kluge, B. Saske, S. Arndt, A. Hornig, K. Paetzold-Byhain, and N. Modler. ECCM21 - Proceedings of the 21st European Conference on Composite Materials, 3, page 1576--1583. European Society for Composite Materials (ESCM), (Jul 2, 2024)21st European Conference on Composite Materials, ECCM 21 ; Conference date: 02-07-2024 Through 05-07-2024.
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management,
model-based
process
product
segmentation,
structures,
synthetic
systems
tomography
training
validation,
woven
x-ray
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1Mapping indicator species of segetal flora for result-based payments in arable land using UAV imagery and deep learning
C. Barrasso, R. Krüger, A. Eltner, and {. Cord. Ecological indicators, (December 2024)Publisher Copyright: © 2024 The Author(s).
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1Impacts and damages of the European multi-year drought and heat event 2018–2022 on forests, a review
F. Knutzen, P. Averbeck, C. Barrasso, {. Bouwer, B. Gardiner, {. Grünzweig, S. Hänel, K. Haustein, {. Johannessen, S. Kollet and 10 other author(s). WorkingPaper, (Jul 26, 2023)
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1Assessing Anonymized System Logs Usefulness for Behavioral Analysis in RNN Models
{. Vargis, and S. Ghiasvand. CEUR Workshop Proceedings, (Dec 2, 2022)Funding Information: This work was supported by the German Federal Ministry of Education and Research BMBF , 01/S18026A-F) by funding the competence center for Big Data and AI ”ScaDS.AI Dresden/Leipzig”. The authors gratefully acknowledge the GWK support for funding this project by providing computing time through the Center for Information Services and HPC ?ZIH) at TU Dresden on HRSK-II. Publisher Copyright: © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).; 2022 International Workshop on Data-Driven Resilience Research, D2R2 2022 ; Conference date: 06-07-2022 Through 06-07-2022.
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Time
analysis
analysis,
log
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1A Light-weight and Unsupervised Method for Near Real-time Behavioral Analysis using Operational Data Measurement
{. Vargis, and S. Ghiasvand. WorkingPaper, volume abs/2402.05114. (Jan 10, 2024)
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1Content-Aware Depth-Adaptive Image Restoration
{. Vargis, and S. Ghiasvand. 2024 29th International Conference on Automation and Computing (ICAC), United States of America, Institute of Electrical and Electronics Engineers Inc., (2024)Publisher Copyright: © 2024 IEEE.; 29th International Conference on Automation and Computing : Smart Systems and Digital Healthcare, ICAC 2024 ; Conference date: 28-08-2024 Through 30-08-2024.
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AI,
Content-aware
Explainable
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Layered
Modular
Open
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editing,
pipeline,
restoration,
scene
source
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1Assessing Privacy Policies with AI: Ethical, Legal, and Technical Challenges
I. Aydin, H. Diebel-Fischer, V. Freiberger, J. Möller-Klapperich, E. Buchmann, M. Färber, A. Lauber-Rönsberg, and B. Platow. WorkingPaper, (Oct 10, 2024)
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1AI-Based-Personalized Learning in Higher Education: From Tracing Learning Processes to Providing Tailored Educational Support
S. Hummel, G. Wadhwa, {. Abbas, and M. Donner. (Sep 27, 2024)27th annual conference of Communities in New Media 2024 : Trust in the crisis: communication models in digital communities, GeNeMe 2024 ; Conference date: 25-09-2024 Through 27-09-2024.
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1Gestaltungsmerkmale KI-basierter Avatare zur Förderung selbstregulierten Lernens: Eine empirische Analyse
S. Hummel, M. Donner, {. Abbas, and G. Wadhwa. (Sep 26, 2024)27. Jahreskonferenz der Gemeinschaften in Neuen Medien 2024 : Vertrauen in der Krise: Kommunikationsmodelle in digitalen Gemeinschaften, GeNeMe 2024 ; Conference date: 25-09-2024 Through 27-09-2024.
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1Enhancing Learning Paths with AI-Mentoring
S. Hummel, M. Donner, G. Wadhwa, and {. Abbas. (Oct 9, 2023)All Hands Meeting & Symposium 2023, AHM 2023 ; Conference date: 09-10-2023 Through 10-10-2023.
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1Secure and Effective AI-based Learning Systems: Integrating Federated Learning and Large Language Models for Privacy-Preservation in Education
S. Hummel, G. Wadhwa, {. Abbas, and M. Donner. (Sep 26, 2024)27th annual conference of Communities in New Media 2024 : Trust in the crisis: communication models in digital communities, GeNeMe 2024 ; Conference date: 25-09-2024 Through 27-09-2024.
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1Trustworthy AI-Mentors: Combining Large Language Models and Core NLP Techniques for Secure Learning Support
S. Hummel, {. Abbas, G. Wadhwa, and M. Donner. (Sep 27, 2024)27th annual conference of Communities in New Media 2024 : Trust in the crisis: communication models in digital communities, GeNeMe 2024 ; Conference date: 25-09-2024 Through 27-09-2024.
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1Exploring Students’ Preinstructional Mental Models of Machine Learning: Preliminary Findings
E. Marx, T. Leonhardt, N. Bergner, and C. Witt. 16th International Conference on Informatics in Schools: Situation, Evolution, and Perspectives, ISSEP 2023, Local Proceedings, page 233--236. Zenodo, (2023)
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1Maschinelles Lernen in der Sekundarstufe I erlebbar machen: Workshop-Konzept zur Entwicklung einer intelligenten Museumsapp
E. Marx, and N. Bergner. (2023)20. GI-Fachtagung "Informatik und Schule" : Informatikunterricht zwischen Aktualität und Zeitlosigkeit, INFOS 2023 ; Conference date: 20-09-2023 Through 22-09-2023.
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1Workshop: Künstliche Intelligenz im Informatikunterricht - Praxisperspektiven im Gespräch
L. Schönberger, E. Marx, and N. Bergner. (2023)
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1Identifying Secondary School Students' Misconceptions about Machine Learning: An Interview Study
E. Marx, C. Witt, and T. Leonhardt. WiPSCE '24: Proceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research, page 1--10. Association for Computing Machinery, (Sep 16, 2024)Publisher Copyright: © 2024 Copyright held by the owner/author(s)..
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1Brief Summary of Existing Research on Students’ Conceptions of AI
E. Marx, T. Leonhardt, and N. Bergner. (October 2022)Publisher Copyright: © 2022 Owner/Author.; WiPSCE 2022 ; Conference date: 31-10-2022 Through 02-11-2022.
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1Using Matchboxes to Teach the Basics of Machine Learning: an Analysis of (Possible) Misconceptions
E. Marx, T. Leonhardt, D. Baberowski, and N. Bergner. Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, page 25--29. PMLR, (Sep 8, 2022)
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1Seminarkonzept zur fachlichen und fachdidaktischen Qualifizierung von Informatiklehramtsstudierenden zum Maschinellen Lernen
E. Marx, and N. Bergner. 10. Fachtagung Hochschuldidaktik Informatik (HDI) 2023, 10, page 65--74. Deutschland, Gesellschaft fur Informatik (GI), (2023)
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1Secondary school students' mental models and attitudes regarding artificial intelligence - A scoping review
E. Marx, T. Leonhardt, and N. Bergner. Computers and education: artificial intelligence, 5 (5): 1--13 (January 2023)Publisher Copyright: © 2023 The Authors.
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Conceptions,
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review
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1From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game
C. Witt, T. Leonhardt, E. Marx, and N. Bergner. Informatics in Schools. Innovative Approaches to Computer Science Teaching and Learning, page 73--84. Springer, Berlin u. a., (Oct 13, 2024)Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025..
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1Usage of Self-Motivating Achievements to Collect Accessibility Information of Indoor Environments.
J. Schmalfuß-Schwarz, C. Loitsch, and G. Weber. Universal Access in Human-Computer Interaction - 17th International Conference, UAHCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings, page 477--488. Switzerland, Springer Nature Switzerland, Dortrecht u. a., (2023)Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG..
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with
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1Chatbot-Based Mood and Activity Journaling for Resource-Oriented CBT Support of Students
J. Striegl, F. Fekih, G. Weber, and C. Loitsch. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management - 15th International Conference, DHM 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings, page 177--188. Springer, Berlin u. a., (2024)Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024..
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Agents,
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Psychotherapy,
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1Enhancing Usability of Voice Interfaces for Socially Assistive Robots Through Deep Learning: A German Case Study
O. Guhr, C. Loitsch, G. Weber, and H. Böhme. Artificial Intelligence in HCI - 5th International Conference, AI-HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings, volume 2 of Lecture Notes in Computer Science, page 231--249. Springer, Cham, (2024)Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024..
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1Automated Nystagmus Parameter Determination: Differentiating Nystagmic from Voluntary Eye-Movements
A. Walther, J. Striegl, C. Loitsch, S. Pannasch, and G. Weber. Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management - 14th International Conference, DHM 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings, page 341--354. Germany, Springer, Berlin u. a., (2023)Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 14th International Conference Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, DHM 2023 ; Conference date: 23-07-2023 Through 28-07-2023.
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Classification,
Determination,
Eye-Movement
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Modelling
Nystagmus
Parameter
User
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1Mapable: Accessible Web-Based Indoor Maps for People with Diverse Interaction and Information Needs.
J. Striegl, C. Loitsch, {. Etzold, and G. Weber. Universal Access in Human-Computer Interaction - 18th International Conference, UAHCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings, page 100--111. (2024)Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024..
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Accessibility,
Building
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Impairments
Impairments,
Indoor
Information,
Maps,
Mobility
OpenStreetMap,
Visual
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1Voice Assistant-Based Cognitive Behavioral Therapy for Test Anxiety in Students
J. Striegl, C. Loitsch, and G. Weber. Human-Computer Interaction - Thematic Area, HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings, page 396--406. Switzerland, Springer Nature Switzerland, Dortrecht u. a., (2023)Publisher Copyright: © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG..
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Voice
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1Empowering Education in Cambodia and Sri Lanka: Advancing Quality in 21st Century Teaching and Learning
S. Hummel (Eds.) Doing Higher Education SPRINGER VS/SPRINGER FACHMEDIEN, Germany, (2024)
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1Student Assessment in Digital and Hybrid Learning Environments
S. Hummel, and M. Donner (Eds.) Doing Higher Education SPRINGER VS/SPRINGER FACHMEDIEN, Germany, 1 edition, (December 2023)
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1The Project CONTESSA - Contemporary Teaching Skills for South Asia. Capacity Building in Education
S. Hummel, N. Meas, and M. Vithanapathirana. Weiterbildung : Zeitschrift für Grundlagen, Praxis und Trends, 2023 (1): 36--39 (2023)
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1VISION’s E-Course: The Visionair
S. Hummel, M. Brodacz-Geier, and N. Brouwer-Zupanicic. (2023)
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1Embodied Teaching: Corporeal Expressiveness in Classroom Communication
S. Hummel. SPRINGER VS/SPRINGER FACHMEDIEN, Germany, (2024)
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1Motivational Dynamics in AI-Enhanced Education: Unveiling Student Perspectives
S. Hummel, and M. Donner. (Jul 12, 2024)12th European Conference on Education ; Conference date: 11-07-2024 Through 15-07-2024.
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1Biographieforschung und Hochschulforschung
R. Egger, and S. Hummel. page 574--585. Verlag Julius Beltz GmbH, Deutschland, (2022)
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1Lehren mit Learning Analytics: Empfehlungen für das Coaching von Lehrenden
S. Hummel, M. Donner, and R. Egger. University of Graz, (2023)
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1Learning Analytics - Studierende im Fokus
M. Donner, and S. Hummel. Zeitschrift für Hochschulentwicklung, 18 (April 2023): 223--250 (May 2023)
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1The Dual Impact of AI in Academia: From Deskilling Risks to Upskilling Opportunities
S. Hummel, and M. Donner. (Jun 25, 2024)The Dual Impact of AI in Academia: From Deskilling Risks to Upskilling Opportunities ; Conference date: 25-06-2024 Through 25-06-2024.
5 days ago by @scadsfct
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1Empowering Students with AI-based Chatbot Assistants: A New Era of Higher Education?
S. Hummel, T. Köhler, N. Brouwer-Zupanicic, R. Egger, and M. Rieger. Communities in New Media. Inclusive digital: Forming Community in an Open Way Self-determined Participation in the Digital Transformation, page 38 -- 43. Germany, TUDpress/Thelem Universitätsverlag, (2023)26th annual conference of Communities in New Media 2023 : Inclusive Digital: Forming Community in an Open Way - Self-determined participation in the digital transformation, GeNeMe 2023 ; Conference date: 13-09-2023 Through 15-09-2023.
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1Motivational Impacts of AI on Student Learning
S. Hummel, and M. Donner. (Jun 16, 2024)The Paris Conference on Education 2024 ; Conference date: 13-06-2024 Through 17-06-2024.
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1KI-Anwendungen in der Hochschulbildung aus Studierendenperspektive
S. Hummel, and M. Donner. FNMA Magazin, 2023 (3): 38 (Oct 6, 2023)
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1Learning Analytics für die Hochschullehre
S. Hummel, and M. Donner. (2023)
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1Teaching Innovation Workshop: Skill Transformation in AI-Enhanced Education
S. Hummel, and M. Donner. (Nov 12, 2024)Teaching Innovation Workshop: Skill Transformation in AI-Enhanced Education ; Conference date: 12-11-2024 Through 12-11-2024.
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