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Natalie Kiesler

Prof. Dr.

email natalie.kiesler@th-nuernberg.de
fax +49 (0)911 5880 - 5666

Raum HQ.112 zu den Lageplänen

Ämter, Funktionen

Stellvertretende Frauenbeauftragte der Fakultät Informatik

Weitere Ämter und Funktionen (Auswahl):

Program Chair SIGCSE TS 2026, 2027
Education Research Track Chair, RESPECT Conference 2025
Associate Program Chair Koli Calling Conference 2025
Associate Program Chair Innovation and Technology in Computer Science Education Konferenz (ITiCSE)
Leitungsgremium der Fachgruppe Bildungstechnologien der Gesellschaft für Informatik e.V. (GI)
Program Chair und Workshop Chair der DELFI Konferenz 2024
General Chair der 3. International Conference on the Internet of Everything (IoECon) 2024
Programkomitee der Koli Calling International Conference on Computing Education Research
Leitung des Arbeitskreises "Open Science" der Gesellschaft für Informatik e.V. (GI)

Beruflicher Werdegang

Siehe ORCID

Auszeichnungen

Auszeichnung von Publikationen:

von Zadow, Ulrich; Kiesler, Natalie (2025). Inverted Classroom in der Einführungsveranstaltung Programmierung. Tagungsband zum 6. Symposium zur Hochschullehre in den MINT-Fächern, pp. 74-84. https://bayziel.de/wp-content/uploads/Tagungsband_MINTSymposium_2025.pdf. (Preprint verfügbar: https://doi.org/10.48550 /arXiv.2506.10057, Best Paper Award, Silber)

Scholl, Andreas; Schiffner, Daniel; Kiesler, Natalie (2024). Analyzing Chat Protocols of Novice Programmers Solving Introductory Programming Tasks with ChatGPT. In: 22. Fachtagung Bildungstechnologien (DELFI), Sandra Schulz and Natalie Kiesler (Eds.). Bonn: Gesellschaft für Informatik e.V., pp. 63-79. https://doi.org/10.18420/delfi2024_05 (Best Long Paper Nominee + Open Data Badge der GI e.V.)

Kiesler, Natalie; Röpke, René; Schiffner, Daniel; Schulz, Sandra; Strickroth, Sven; Ehlenz, Matthias; Heinemann, Birte; Wilhelm-Weidner, Arno (2024). Towards Open Science at the DELFI Conference. In: 22. Fachtagung Bildungstechnologien (DELFI), Sandra Schulz and Natalie Kiesler (Eds.). Bonn: Gesellschaft für Informatik e.V., pp. 251-265. https://doi.org/10.18420/delfi2024_22 (Open Data Badge der GI e.V.)

Lohr, Dominic; Kiesler, Natalie; Keuning, Hieke; Jeuring, Johan (2024). „Let Them Try to Figure It Out First“ – Reasons Why Experts (Do Not) Provide Feedback to Novice Programmers. In Proceedings of the 2024 Conference on Innovation and Technology in Computer Science Education Vol. 1 (Milan, Italy) (ITiCSE 2024). Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3649217.3653530 (Best Student Paper Award)

Kiesler, Natalie; Impagliazzo, John (2023). Perspectives on the Internet of Everything. In: Pereira, T., Impagliazzo, J., Santos, H. (eds.) Internet of Everything. IoECon 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 458. Springer, Cham. https://doi.org/10.1007/978-3-031-25222-8_1 (Best Paper Award)

Kiesler, Natalie (2016). Ein Bild sagt mehr als tausend Worte – interaktive Visualisierungen in web-basierten Programmieraufgaben. In: Delfi 2016 Proceedings. Bonn: G.I. e.V., S. 335-337. (Best Demo Award)

Weitere Auszeichnungen:

2024: Short List Enter Award Open Access, iRights.Lab und BMBF

2015: Hochschulperle Digital Monat Januar, Projekt “Let’s Learn: Wilmas Tutorials”. Stifterverband

2013: Hessischer Hochschulpreis für Exzellenz in der Lehre - 2. Preis der Kategorie „Projekt einer Arbeitsgruppe oder Organisationseinheit“ Thema: Inverted Classroom Mastery Model/ Virtual Linguistics Campus

Lehrgebiete

Lehren und Lernen an Hochschulen

Forschungsgebiete

Bildungstechnologien (z.B. generative AI), Informatikdidaktik, Kompetenzorientierung, Curriculumsentwicklung, Open Data und Open Science, Universal Design

Lehrveranstaltungen

WiSe 2025: Educational Technologies

SoSe 2025: IT-Projekt

WiSe 2024/25: Praxisseminar, IT-Projekt, Educational Technologies

SoSe 2024: Praxisseminar, IT-Projekt

+ LeKo Workshops für Hochschullehrende: Inverted Classroom, Large Language Models in der Hochschullehre, Feedback im Kontext Hochschule, Gamification, Hospitationen u.v.m.

Abschlussarbeiten

Ich betreue gerne Abschlussarbeiten in den Bereichen Bildungstechnologien/Educational Technologies, d.h., wenn es darum geht, Lehren, Lernen und Prüfen in Bildungskontexten durch Technologien zu unterstützen, diese zu entwickeln und zu beforschen. Auch bei der Entwicklung von Webanwendungen oder speziell dem Einsatz von KI kann ich Sie betreuen.

Abgeschlossene Bachelorarbeiten 2025:

Felix Heubeck: Entwicklung eines adaptiven, KI-gestützten Fragebogentools zur Optimierung von Projektübergaben von Designentwürfen an Entwickler bei KURZ Digital Solutions GmbH & Co. KG
Elisa Nguyen Tran: Einsatzmöglichkeiten von VR in der Wissensvermittlung

Veröffentlichungen

Preprints finden Sie auf ResearchGate und ArXiv. Alle meine Arbeiten sind auch auf Google Scholar zu finden. Nachfolgend finden Sie nur die aktuellsten Arbeiten.

2025

Jacobs, Sven; Haas, Jan; Kiesler, Natalie (2025). Student Engagement with GenAI’s Tutoring Feedback: A Mixed Methods Study. In 25th Koli Calling International Conference on Computing Education Research (Koli Calling ’25), November 11–16, 2025, Koli, Finland. ACM, New York. https://doi.org/10.1145/3769994.3770034 (accepted, in press)

Jacobs, Sven; Kiesler, Natalie (2025). GenAI Voice Mode in Programming Education. In 25th Koli Calling International Conference on Computing Education Research (Koli Calling ’25), November 11–16, 2025, Koli, Finland. ACM, New York, NY, USA. https://doi.org/10.1145/3769994.3770001 (accepted, in press) (Preprint verfügbar: https://doi.org/10.48550/arXiv.2509.10596)

Kiesler, Natalie; Lohr, Dominic (2025). On Student Steps, Learning Environments and Expert Feedback for Novice Programmers. In: Gerdes, A., Keuning, H., & Swierstra, W. (2025), Taalblaat – Festschrift for Johan Jeuring. Zenodo. https://doi.org/10.5281/zenodo.17181795

Scholl, Andreas; Kiesler, Natalie (2025). Students‘ Feedback Requests and Interactions with the SCRIPT Chatbot: Do They Get What They Ask For? PPIG 2025 – Proceedings. (Preprint verfügbar: https://doi.org/10.48550/arXiv.2507.17258)

Lohr, Dominic; Kiesler, Natalie; Keuning, Hieke; Jeuring, Johan (2025). „Ignore These Errors for Now“ – How Experts Provide Feedback on Steps Novices Take Towards Solving Programming Problems. In Proceedings of the ACM Global Computing Education Conference 2025 Vol 1 (CompEd 2025), October 21–25, 2025, Gaborone, Botswana. ACM, New York, NY, USA. https://doi.org/10.1145/3736181.3747150

Schulz, Sandra; Schiffner, Daniel; Kiesler, Natalie; Biernacka, Katarzyna (2025). A Publication Framework for Research Data in the EdTec Community. 23. Fachtagung Bildungstechnologien (DELFI 2025). Bonn: Gesellschaft für Informatik e.V., pp. 203-211. https://doi.org/10.18420/delfi2025_18

Jacobs, Sven; Kempf, Maurice; Kiesler, Natalie (2025). That’s Not the Feedback I Need! – Student Engagement with GenAI Feedback in the Tutor Kai. In UK and Ireland Computing Education Research Conference (UKICER 2025), September 04–05, 2025, Edinburgh, United Kingdom. ACM, New York. https://doi.org/10.1145/3754508.3754512

Barendsen, Eric; Lonati, Violetta; Quille, Keith; Altin, Rukiye; Divitini, Monica; Hooshangi, Sara; Karnalim, Oscar; Kiesler, Natalie; Melton, Madison; Suero Montero, Calkin; Morpurgo, Anna. (2025). Teaching and Learning AI in K-12 Informatics Education: A Trend Analysis Based on Scientific Literature, Expert Interviews, and Institutional Documents.In 2024 Working Group Reports on 1st ACM Virtual Global Computing Education Conference (SIGCSE Virtual–WGR 2024), December 5–8, 2024. ACM, New York. https://doi.org/10.1145/3708550.3730560

Schulz, Sandra; Kiesler, Natalie (2025). The Data Dilemma: Authors‘ Intentions and Recognition of Research Data in Educational Technology Research. arXiv:2506.04954, 1-7. https://doi.org/10.48550/arXiv.2506.04954

Schneider, Jan; Limbu, Bibeg, Kiesler, Natalie (2025). Of house of cards and air castles, a deep dive into the fertile fields of educational technologies and technology enhanced learning. Journal of Computing in Higher Education (2025). https://doi.org/10.1007/s12528-025-09450-8

Azaiz, Imen; Kiesler, Natalie; Strickroth, Sven. (2025). Generating Feedback for Programming Exercises With OpenAI’s o1-preview. In: Future of Learning with Large Language Models: Applications and Research in Education, Khine, Myint Swe; Lászlo, Bognár; Afari, Ernest (Eds.). CRC Press, Taylor & Francis. (accepted, in press)

Azaiz, Imen; Kiesler, Natalie; Strickroth, Sven; Zhang, Anni. (2025). Open, Small, Rigmarole – Evaluating Llama 3.2 3B’s Feedback for Programming Exercises. International Journal of Engineering Pedagogy (iJEP), 15(5), pp. 57–73. https://doi.org/10.3991/ijep.v15i5.55359

Scholl, Andreas; Schiffner, Daniel; Kiesler, Natalie. (2025). Students‘ Use of ChatGPT in an Introductory Programming Course: A Deep Dive into Chat Protocols and the Student Perspective. eleed – e-learning and education, (16) 2025. https://www.eleed.de/eleed/article/view/248

Scholl, Andreas; Kiesler, Natalie. 2025. SCRIPT – Supportive Chatbot for Resolving Introductory Programming Tasks. In Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 2 (ITiCSE 2025), June 27-July 2, 2025, Nijmegen, Netherlands. ACM, New York, NY, USA. https://doi.org/10.1145/3724389.3730786.

Kiesler, Natalie; Smith, Jacqueline; Leinonen, Juho; Fox, Armando; MacNeil, Stephen; IhantolaI, Petri (2025). The Role of Generative AI in Software Student CollaborAItion. Proceedings of the 2025 Conference on Innovation and Technology in Computer Science Education Vol. 1 (Nijmegen, Netherlands) (ITiCSE 2025). ACM, New York. https://doi.org/10.1145/3724363.3729040

Jacobs, Sven; Peters, Henning; Jaschke, Steffen; Kiesler, Natalie (2025). Unlimited Practice Opportunities: Automated Generation of Comprehensive, Personalized Programming Tasks. Proceedings of the 2025 Conference on Innovation and Technology in Computer Science Education Vol. 1 (Nijmegen, Netherlands) (ITiCSE 2025). ACM, New York. https://doi.org/10.1145/3724363.3729089

Kazmi, Zain; Kiesler, Natalie; Jhunjhunwala, Harsh; Impagliazzo, John. (2025).Work in Progress: Analysis of Industry-Education Relational Datasets. In: 2025 IEEE Engineering Education World Conference (EDUNINE), Montevideo, Uruguay, 2025, pp. 1-4. https://doi.org/10.1109/EDUNINE62377.2025.10980833

Lohr, Dominic; Keuning, Hieke; Kiesler, Natalie (2025). You’re (Not) My Type – Can LLMs Generate Feedback of Specific Types for Introductory Programming Tasks? In: Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.13107

Prather, James; Leinonen, Juho; Kiesler, Natalie; Gorson Benario, Jamie; Lau, Sam; MacNeil, Stephen; Norouzi, Narges; Opel, Simone; Pettit, Virginia; Porter, Leo; Reeves, Brent N.; Savelka, Jaromir; Smith IV, David H.; Strickroth, Sven; Zingaro, Daniel (2025). Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools. In Working Group Reports of the 2024 Conference on Innovation and Technology in Computer Science Education (ITiCSE 2024). ACM, New York. https://doi.org/10.1145/3689187.3709614

2024

Scholl, Andreas; Kiesler, Natalie (2024). How Novice Programmers Use and Experience ChatGPT when Solving Programming Exercises in an Introductory Course. In: Proceedings of the 2024 IEEE ASEE Frontiers in Education Conference, Washington DC, October 13–16, 2024. (im Erscheinen, Preprint verfügbar: https://arxiv.org/abs/2407.20792)

Barendsen, Eric; Lonati, Violetta; Quille, Keith; Altin, Rukiye; Divitini, Monica; Hooshangi, Sara; Karnalim, Oscar; Kiesler, Natalie; Melton, Madison; Suero Montero, Calkin; Morpurgo, Anna (2024). AI in and for K-12 Informatics Education. Life after Generative AI. In: Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 2 (SIGCSE Virtual 2024), December 5–8, 2024. ACM, New York. https://doi.org/10.1145/3649409.3691073

Alshaigy, Bedour; Grande Castro, Virginia; Kiesler, Natalie; Settle, Amber (2024). How Do You Solve A Problem Like Recruitment? On The Hiring and Retention of Computing Academics. In Proceedings of the 2024 on ACM Virtual Global Computing Education Conference V. 1 (SIGCSE Virtual 2024). ACM, New York, USA, 263–266. https://doi.org/10.1145/3649165.3703622

Kiesler, Natalie; Scholz, Ingo; Albrecht, Jens; Stappert, Friedhelm; Wienkop, Uwe (2024). Novice Learners of Programming and Generative AI – Prior Knowledge Matters. In 24th Koli Calling International Conference on Computing Education Research (Koli Calling ’24), November 12–17, 2024, Koli, Finland. ACM, New York, NY, USA. https://doi.org/10.1145/3699538.3699580

Keuning, Hieke; Luxton-Reilly, Andrew; Ott, Claudia; Petersen, Andrew; Kiesler, Natalie (2024). Goodbye Hello World – Research Questions for a Future CS1 Curriculum. In: 24th Koli Calling International Conference on Computing Education Research (Koli Calling ’24), November 12–17, 2024, Koli, Finland. ACM, New York, NY, USA. https://doi.org/10.1145/3699538.3699591

Schiffner, Daniel; Kiesler, Natalie (2024). Open Science in den Bildungstechnologien: Unterstützung bei der Veröffentlichung von Forschungsdaten. In: Proceedings of the DELFI 2024 Workshops, Kiesler, Natalie; and Sandra Schulz (Eds.). Bonn: Gesellschaft für Informatik e.V., pp. 77-85. https://doi.org/10.18420/delfi2024-ws-11

Kiesler, Natalie; Impagliazzo, John; Biernacka, Katarzyna; Kapoor, Amanpreet; Kazmi, Zain; Ramagoni, Sujeeth Goud; Sane, Aamod; Tran, Keith; Taneja, Shubbhi; Wu, Zihan (2024). Where’s the Data? Finding and Reusing Datasets in Computing Education. In Working Group Reports of the 2023 ACM Conference on Global Computing Education (CompEd-WGR 2023), December 5–9, 2023, Hyderabad, India. ACM, New York, NY, USA, 30 pages. https://doi.org/10.1145/3598579.3689378

Prather, James; Leinonen, Juho; Kiesler, Natalie; Gorson Benario, Jamie; Lau, Sam; MacNeil, Stephen; Norouzi, Narges; Opel, Simone; Pettit, Virginia; Porter, Leo; Reeves, Brent N.; Savelka, Jaromir; Smith IV, David H.; Strickroth, Sven; Zingaro, Daniel (2024). How Instructors Incorporate Generative AI into Teaching Computing. In Proceedings of the 2024 Conference on Innovation and Technology in Computer Science Education V. 2 (ITiCSE 2024), July 5–10, 2024, Milan, Italy. ACM, New York, NY, USA. https://doi.org/10.1145/3649405.3659534

Kiesler, Natalie; Kumar, Amruth; Mackellar, Bonnie; McCauley, Renée; Sabin, Mihaela; Impagliazzo, John (2024). Students‘ Perceptions of Behaviors Associated with Professional Dispositions in Computing Education. In Proceedings of the 2024 Conference on Innovation and Technology in Computer Science Education Vol. 1 (Milan, Italy) (ITiCSE 2024). Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3649217.3653566

Kiesler, Natalie; Opel, Simone; Thorbrügge, Carsten (2024). With Great Power Comes Great Responsibility – Integrating Data Ethics into Computing Education. In Proceedings of the 2024 Conference on Innovation and Technology in Computer Science Education Vol. 1 (Milan, Italy) (ITiCSE 2024). Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3649217.3653637

Grande, Virginia; Kiesler, Natalie; Francisco, Maria Andreina (2024). Student Perspectives on Using a Large Language Model (LLM) for an Assignment on Professional Ethics. In Proceedings of the 2024 Conference on Innovation and Technology in Computer Science Education Vol. 1 (Milan, Italy) (ITiCSE 2024). Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3649217.3653624

Azaiz, Imen; Kiesler, Natalie; Strickroth, Sven (2024). Feedback-Generation for Programming Exercises With GPT-4. In Proceedings of the 2024 Conference on Innovation and Technology in Computer Science Education Vol. 1 (Milan, Italy) (ITiCSE 2024). Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3649217.3653594 (Preprint verfügbar: https://doi.org/10.48550/arXiv.2403.04449)

Kiesler, Natalie; Schiffner, Daniel (2024). Conferences are Exclusive by Nature. In Proceedings of the 2024 RESPECT Annual Conference (Atlanta, Georgia, USA) (RESPECT). Association for Computing Machinery, New York, NY, USA, pp. 288-292. https://doi.org/10.1145/3653666.3656077

Scarcella, Diego; Schneider, Jan; Kiesler, Natalie; Schiffner, Daniel (2024). MathKinetics: Solving Arithmetics while Running out of Breath. In Proceedings of the 16th International Conference on Computer Supported Education (CSEDU 2024). In Proceedings of the 16th International Conference on Computer Supported Education – Volume 1: CSEDU. SciTePress, pp. 250-256. https://doi.org/10.5220/0012536900003693

Naumann, Johannes; Hahnel, Carolin; Kiesler, Natalie; Macedo-Rouet, Mônica; Rouet, Jean-François (2024). Core skills of digital literacies: Constants in an everchanging literacy landscape. AERA 2024 Annual Meeting, Apr 2024, Philadelphia, United States. hal-04678908

MacNeil, Stephen; Leinonen, Juho; Denny, Paul; Kiesler, Natalie; Hellas, Arto; Prather, James; Becker, Brett A.; Wermelinger, Michel (2024). Discussing the Changing Landscape of Generative AI in Computing Education. In Proceedings of the Technical Symposium on Computer Science Education V.2 (SIGCSE TS 2024). Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3626253.3635369

Kiesler, Natalie; Schiffner, Daniel (2024). What is a Good API? A Survey on the Use and Design of Application Programming Interfaces. In: Pereira, T., Impagliazzo, J., Santos, H., Chen, J. (eds.) Internet of Everything. IOECON 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 551. Springer, Cham. https://doi.org/10.1007/978-3-031-51572-9_4

Impagliazzo, John; Kiesler, Natalie, Chen, Juan (2024). Curricular Excursions on the Internet of Everything. In: Pereira, T., Impagliazzo, J., Santos, H., Chen, J. (eds) Internet of Everything. IOECON 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 551. Springer, Cham. https://doi.org/10.1007/978-3-031-51572-9_9

Kiesler, Natalie (2024). Workshop: Towards Open Data Practices at the International Conference on the Internet of Everything. In: Pereira, T., Impagliazzo, J., Santos, H., Chen, J. (eds) Internet of Everything. IOECON 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 551. Springer, Cham. https://doi.org/10.1007/978-3-031-51572-9_11

Kiesler, Natalie; Impagliazzo, John (2024). Evaluating Diversity, Equity, Inclusion, and Accessibility in Accreditation. In 2023 International Symposium on Accreditation of Engineering and Computing Education (ICACIT), Lima, Peru, 2023, pp. 1-5, https://doi.org/10.1109/ICACIT59946.2023.10403684.

McCauley, Renée; Sabin, Mihaela; Kumar, Amruth; Kiesler, Natalie; MacKellar, Bonnie; Raj, Rajendra; Impagliazzo, John (2024). Using Vignettes to Elicit Students‘ Understanding of Dispositions in Computing Education. In 2023 IEEE Frontiers in Education Conference (FIE), College Station, TX, USA, 2023. https://doi.org/10.1109/FIE58773.2023.10342915

Kiesler, Natalie; Lohr; Dominic; Keuning, Hieke (2024). Exploring the Potential of Large Language Models to Generate Formative Programming Feedback. In 2023 IEEE Frontiers in Education Conference (FIE), College Station, TX, USA, 2023. https://doi.org/10.1109/FIE58773.2023.10343457

Kiesler, Natalie; Impagliazzo, John (2024). Industry’s Expectations of Graduate Dispositions. In 2023 IEEE Frontiers in Education Conference (FIE), College Station, TX, USA, 2023. https://doi.org/10.1109/FIE58773.2023.10343406

Kiesler, Natalie (2024). Modeling Programming Competency: A Qualitative Analysis. Springer Cham. https://doi.org/10.1007/978-3-031-47148-3

2023

Prather, James; Denny, Paul; Leinonen, Juho; Becker, Brett A.; Albluwi, Ibrahim; Craig, Michelle; Keuning, Hieke; Kiesler, Natalie; Kohn, Tobias; Luxton-Reilly, Andrew; MacNeil, Stephen; Peterson, Andrew; Pettit, Raymond; Reeves, Brent N.; Savelka, Jaromir (2023). The Robots Are Here: Navigating the Generative AI Revolution in Computing Education. In 2023 ITiCSE Working Group Reports (ITiCSE-WGR ’23), July 7–12, 2023, Turku, Finland. ACM, New York, NY, USA. https://doi.org/10.1145/3623762.3633499

Becker, Brett; Craig, Michelle; Denny, Paul, Keuning, Hieke; Kiesler, Natalie; Leinonen, Juho; Luxton-Reilly, Andrew; Malmi, Lauri; Prather, James; Quille, Keith (2023). Generative AI in Introductory Programming. In Computer Science Curricula 2023, Curricular Practices Volume. ACM, New York, NY, USA, 25 pages. https://csed.acm.org/large-language-models-in-introductory-programming/

Kiesler, Natalie; Schiffner, Daniel (2023). Open Science in den Bildungstechnologien: Zur Publikation und Begutachtung von Forschungsdaten inklusive Software im Rahmen der DELFI. Workshops der 21. Fachtagung Bildungstechnologien (DELFI). Open Science in den Bildungstechnologien, Aachen, September 11-13, 2023. Gesellschaft für Informatik e.V., Bonn, pp. 159-168. https://doi.org/10.18420/wsdelfi2023-40

Kiesler, Natalie; Impagliazzo, John; Biernacka, Katarzyna; Kapoor, Amanpreet; Kazmi, Zain; Ramagoni, Sujeeth Goud; Sane, Aamod; Tran, Keith; Taneja, Shubbhi; Wu, Zihan. (2023). Where’s the Data? Exploring Datasets in Computing Education. In Proceedings of the ACM Conference on Global Computing Education Vol 2 (CompEd 2023). Association for Computing Machinery, New York, NY, USA, 209–210. https://doi.org/10.1145/3617650.3624951

Kiesler, Natalie; Pfülb, Benedikt. (2023). Higher Education Programming Competencies: A Novel Dataset. In: Iliadis, L., Papaleonidas, A., Angelov, P., Jayne, C. (Hrsg.) Artificial Neural Networks and Machine Learning – ICANN 2023. ICANN 2023. Lecture Notes in Computer Science, vol 14261. Springer, Cham. https://doi.org/10.1007/978-3-031-44198-1_27

Kiesler, Natalie; Schiffner, Daniel. (2023). Exploring and Improving Workflows for the Donation and Curation of Research Data. In 1st Conference on Research Data Infrastructure. Karlsruhe, Germany. https://doi.org/10.52825/CoRDI.v1i.284

Kiesler, Natalie; Schiffner, Daniel; Nieder-Vahrenholz, Axel. (2023). Adapting RDMO for the Efficient Management of Educational Research Data. In: 21. Fachtagung Bildungstechnologien (DELFI). Bonn: Gesellschaft für Informatik e.V., S. 271-272. https://doi.org/10.18420/delfi2023-51

Kiesler, Natalie; Schiffner, Daniel. (2023). Large Language Models in Introductory Programming Education: ChatGPT’s Performance and Implications for Assessments. arXiv:2308.08572, 1-10. https://doi.org/10.48550/arXiv.2308.08572

MacKellar, Bonnie K.; Kiesler, Natalie; Kumar, Amruth N.; McCauley, Renée; Raj, Rajendra K.; Sabin, Mihaela; Impagliazzo, John. (2023). Promoting the Dispositional Dimension of Competency in Undergraduate Computing Programs. In 2023 ASEE Annual Conference & Exposition. Baltimore, Maryland. https://peer.asee.org/43018

Prather, James; Denny, Paul; Leinonen, Juho; Becker, Brett A.; Albluwi, Ibrahim; Caspersen, Michael E.; Craig, Michelle; Keuning, Hieke; Kiesler, Natalie; Kohn, Tobias; Luxton-Reilly, Andrew; MacNeil, Stephen; Peterson, Andrew; Pettit, Raymond; Reeves, Brent N.; Savelka, Jaromir. (2023). Transformed by Transformers: Navigating the AI Coding Revolution for CS Education: An ITiCSE Working Group Conducted by Humans. In Proceedings of the 2023 ACM Conference on Innovation and Technology in Computer Science Education Vol. 2 (ITiCSE ’23), July 10–12, 2023, Turku, Finland. ACM, New York, NY, USA. https://doi.org/10.1145/3587103.3594206

Kiesler, Natalie; Thorbrügge, Carsten. (2023). Socially Responsible Programming in Computing Education and Expectations in the Profession. In Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education Vol. 1 (Turku, Finland) (ITiCSE 2023). Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3587102.3588839

Kiesler, Natalie; MacKellar, Bonnie K.; Kumar, Amruth N.; McCauley, Renée; Raj, Rajendra K.; Sabin, Mihaela; Impagliazzo, John. (2023). Computing Students‘ Understanding of Dispositions: A Qualitative Study. In Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education Vol. 1 (Turku, Finland) (ITiCSE 2023). Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3587102.3588797

Kiesler, Natalie; Schiffner, Daniel. (2023). Why We Need Open Data in Computer Science Education Research. In Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education Vol. 1 (Turku, Finland) (ITiCSE 2023). Association for Computing Machinery, New York, NY, USA. https://doi.org/10.1145/3587102.3588860

Kiesler, Natalie (2023). Investigating the Use and Effects of Feedback in CodingBat Exercises: An Exploratory Thinking Aloud Study. 2023 Future of Educational Innovation-Workshop Series Data in Action. Monterrey, Mexico, S. 1-12. https://doi.org/10.1109/IEEECONF56852.2023.10104622

Ahmad, Atezaz; Kiesler, Natalie; Schiffner, Daniel; Schneider, Jan; Wollny; Sebastian (2023). Caught in the Lifelong Learning Maze: Helping People with Learning Analytics and Chatbots to Find Personal Career Paths. International Journal of Information and Education Technology vol. 13, no. 3, S. 423-429. http://www.ijiet.org/show-186-2416-1.html

Sabin, Mihaela; Kiesler, Natalie; Kumar, Amruth N.; MacKellar, Bonnie; McCauley, Renée; Raj, Rajendra K.; Impagliazzo, John (2023). Fostering Dispositions and Engaging Computing Educators. In Proceedings of the Technical Symposium on Computer Science Education V. 2 (SIGCSE TS 2023). Association for Computing Machinery, New York, NY, USA, S. 1216-1217. https://doi.org/10.1145/3545947.3569592

Kumar, Amruth N.; McCauley, Renée; MacKellar, Bonnie; Sabin, Mihaela; Kiesler, Natalie; Raj, Rajendra K. (2023). Quantitative Results from a Study of Professional Dispositions. In Proceedings of the Technical Symposium on Computer Science Education V. 2 (SIGCSE TS 2023). Association for Computing Machinery, New York, NY, USA, S. 1390. https://doi.org/10.1145/3545947.3576335

Kiesler, Natalie; Impagliazzo, John (2023). Implementing Diversity, Equity, and Inclusion in Accreditation. In Proceedings of the 8th ICACIT Symposium 2022 Cusco, Peru. https://www.doi.org/10.1109/ICACIT56139.2022.10041468

Kiesler, Natalie (2023). Mental Models of Recursion: A Secondary Analysis of Novice Learners’ Steps and Errors in Java Exercises. In: Holland, S., Petre, M., Church, L., Marasoiu, M. (Hrsg.) PPIG 2022 – Proceedings. https://www.ppig.org/papers/2022-ppig-33rd-kiesler/

Kiesler, Natalie; Schiffner, Daniel (2023). ComPleTT – Common Platform for electronic Teacher Training. Ein Blick auf die Entstehung der gemeinsamen Arbeitsplattform der Länder zur Lehrkräfteausbildung. In: Mandausch, M. & Henning, P. A. (Hrsg.), Proceedings of DELFI Workshops 2022. Bonn: Gesellschaft für Informatik e.V., S. 191-198. https://www.doi.org/10.18420/delfi2022-ws-52

Projekte

Betreute IT-Projekte an der Fakultät Informatik:

StepLog: Eine Webanwendung für Forschende zur Untersuchung von Daten aus Programmier-Lernkontexten. Die Webanwendung ermöglicht es den Forschenden, Logdaten im ProgSnap2 Format hochladen zu können. Diese Daten beinhalten unter anderem den Code, der von Lernenden bei der Bearbeitung von Programmieraufgaben (in Lernumgebungen) geschrieben wurde. Anschließend sollen Umfragen zu den einzelnen Lösungsschritten erstellt werden können. Diese Umfragen können veröffentlicht werden, sodass Expertinnen und Experten entsprechend Rückmeldungen geben können. Mit Hilfe der Anwendung können nicht zuletzt die Expertenmeinungen in einer Übersicht dargestellt und für weitere Verarbeitungsschritte aufbereitet werden.
ProgSnap 2: Bei der Untersuchung von Logdaten aus verschiedenen Programmier-Lernumgebungen bestehen zahlreiche Herausforderungen, vor allem, da Problemlösungsschritte in verschiedenen Formaten und Granularitäten vorliegen. Ein einheitliches Format für Logdaten kann mit dem bestehenden Standard für Programmierprozessdaten „ProgSnap2“ erreicht werden. Dafür braucht es jedoch oft eine Übersetzung von dem vorliegenden Format in das Zielformat. In diesem IT-Projekt entwickelten die Studierenden einen Converter sowie einen Editor zur Bearbeitung von Problemlöseschritten (in den Daten), sodass die Umwandlung zwischen verschiedenen Datenformaten gelingen kann.

Weitere Projekte 2025:

Entwicklung eines Lehrangebots für die Virtuelle Hochschule Bayern. Wissenschaftlich Arbeiten mit KI - Future Skill KI: Kritisch, Kreativ, Kompetent (Konsortialpartner)