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Natalie Kiesler
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- affiliation: Nuremberg Institute of Technology Georg Simon Ohm, Nuremberg, Germany
- affiliation: DIPF - Leibniz Institute for Research and Information in Education, Frankfurt am Main, Germany
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2020 – today
- 2024
- [b2]Natalie Kiesler:
Modeling Programming Competency - A Qualitative Analysis. Springer 2024, ISBN 978-3-031-47147-6, pp. 3-165 - [c52]Diego Scarcella, Jan Schneider, Natalie Kiesler, Daniel Schiffner:
Mathkinetics: Solving Arithmetics While Running out of Breath. CSEDU (1) 2024: 250-256 - [c51]Natalie Kiesler, Sandra Schulz:
Proceedings of DELFI Workshops 2024 Vorwort. DELFI Workshops 2024: 0 - [c50]Natalie Kiesler, René Röpke, Daniel Schiffner, Sandra Schulz, Sven Strickroth, Matthias Ehlenz, Birte Heinemann, Arno Wilhelm-Weidner:
Towards Open Science at the DELFI Conference. DeLFI 2024 - [c49]Daniel Schiffner, Natalie Kiesler:
Open Science in den Bildungstechnologien: Zur Unterstützung bei der Veröffentlichung von Forschungsdaten. DELFI Workshops 2024: 11 - [c48]Andreas Scholl, Daniel Schiffner, Natalie Kiesler:
Analyzing Chat Protocols of Novice Programmers Solving Introductory Programming Tasks with ChatGPT. DeLFI 2024 - [c47]Imen Azaiz, Natalie Kiesler, Sven Strickroth:
Feedback-Generation for Programming Exercises With GPT-4. ITiCSE (1) 2024 - [c46]Virginia Grande, Natalie Kiesler, María Andreína Francisco Rodríguez:
Student Perspectives on Using a Large Language Model (LLM) for an Assignment on Professional Ethics. ITiCSE (1) 2024 - [c45]Natalie Kiesler, Amruth N. Kumar, Bonnie K. MacKellar, Renée McCauley, Mihaela Sabin, John Impagliazzo:
Students' Perceptions of Behaviors Associated with Professional Dispositions in Computing Education. ITiCSE (1) 2024 - [c44]Natalie Kiesler, Simone Opel, Carsten Thorbrügge:
With Great Power Comes Great Responsibility - Integrating Data Ethics into Computing Education. ITiCSE (1) 2024 - [c43]Dominic Lohr, Natalie Kiesler, Hieke Keuning, Johan Jeuring:
"Let Them Try to Figure It Out First" - Reasons Why Experts (Do Not) Provide Feedback to Novice Programmers. ITiCSE (1) 2024 - [c42]James Prather, Juho Leinonen, Natalie Kiesler, Jamie Gorson Benario, Sam Lau, Stephen MacNeil, Narges Norouzi, Simone Opel, Virginia Pettit, Leo Porter, Brent N. Reeves, Jaromír Savelka, David H. Smith IV, Sven Strickroth, Daniel Zingaro:
How Instructors Incorporate Generative AI into Teaching Computing. ITiCSE (2) 2024 - [c41]Natalie Kiesler, Daniel Schiffner:
Conferences are Exclusive by Nature. RESPECT 2024: 288-292 - [c40]Stephen MacNeil, Juho Leinonen, Paul Denny, Natalie Kiesler, Arto Hellas, James Prather, Brett A. Becker, Michel Wermelinger, Karen Reid:
Discussing the Changing Landscape of Generative AI in Computing Education. SIGCSE (2) 2024: 1916 - [e2]Sandra Schulz, Natalie Kiesler:
DELFI 2024 - Die 22. Fachtagung Bildungstechnologien der Gesellschaft für Informatik e.V., DELFI 2024, Fulda, Germany, September 9-11, 2024. LNI P-356, Gesellschaft für Informatik e.V. 2024, ISBN 978-3-88579-255-0 [contents] - [e1]Natalie Kiesler, Sandra Schulz:
Proceedings of DELFI Workshops 2024, Fulda, Germany, September 9-11, 2024. Gesellschaft für Informatik e.V. 2024 [contents] - [i9]Imen Azaiz, Natalie Kiesler, Sven Strickroth:
Feedback-Generation for Programming Exercises With GPT-4. CoRR abs/2403.04449 (2024) - [i8]Andreas Scholl, Daniel Schiffner, Natalie Kiesler:
Analyzing Chat Protocols of Novice Programmers Solving Introductory Programming Tasks with ChatGPT. CoRR abs/2405.19132 (2024) - [i7]Virginia Grande, Natalie Kiesler, María Andreína Francisco Rodríguez:
Student Perspectives on Using a Large Language Model (LLM) for an Assignment on Professional Ethics. CoRR abs/2406.11858 (2024) - [i6]Andreas Scholl, Natalie Kiesler:
How Novice Programmers Use and Experience ChatGPT when Solving Programming Exercises in an Introductory Course. CoRR abs/2407.20792 (2024) - 2023
- [c39]Natalie Kiesler, John Impagliazzo, Katarzyna Biernacka, Amanpreet Kapoor, Zain Kazmi, Sujeeth Goud Ramagoni, Aamod Sane, Keith Tran, Shubbhi Taneja, Zihan Wu:
Where's the Data? Finding and Reusing Datasets in Computing Education. CompEd (Working Group Reports) 2023: 31-60 - [c38]Natalie Kiesler, John Impagliazzo, Katarzyna Biernacka, Amanpreet Kapoor, Zain Kazmi, Sujeeth Goud Ramagoni, Aamod Sane, Keith Tran, Shubbhi Taneja, Zihan Wu:
Where's the Data? Exploring Datasets in Computing Education. CompEd (2) 2023: 209-210 - [c37]Natalie Kiesler, Daniel Schiffner:
Exploring and Improving Workflows for the Donation and Curation of Research Data. CoRDI 2023 - [c36]Natalie Kiesler, Daniel Schiffner, Axel Nieder-Vahrenholz:
Adapting RDMO for the Efficient Management of Educational Research Data. DELFI 2023: 51 - [c35]Natalie Kiesler, Daniel Schiffner:
Open Science in den Bildungstechnologien: Zur Publikation und Begutachtung von Forschungsdaten inklusive Software im Rahmen der DELFI. DELFI Workshops 2023: 501 - [c34]Natalie Kiesler, John Impagliazzo:
Industry's Expectations of Graduate Dispositions. FIE 2023: 1-5 - [c33]Natalie Kiesler, Dominic Lohr, Hieke Keuning:
Exploring the Potential of Large Language Models to Generate Formative Programming Feedback. FIE 2023: 1-5 - [c32]Renée McCauley, Mihaela Sabin, Amruth N. Kumar, Natalie Kiesler, Bonnie K. MacKellar, Rajendra K. Raj, John Impagliazzo:
Using Vignettes to Elicit Students' Understanding of Dispositions in Computing Education. FIE 2023: 1-5 - [c31]Natalie Kiesler, John Impagliazzo:
Evaluating Diversity, Equity, Inclusion, and Accessibility in Accreditation. ICACIT 2023: 1-5 - [c30]Natalie Kiesler, Benedikt Pfülb:
Higher Education Programming Competencies: A Novel Dataset. ICANN (8) 2023: 319-330 - [c29]Natalie Kiesler, Daniel Schiffner:
What is a Good API? A Survey on the Use and Design of Application Programming Interfaces. IoECon 2023: 45-55 - [c28]John Impagliazzo, Natalie Kiesler, Juan Chen:
Curricular Excursions on the Internet of Everything. IoECon 2023: 113-125 - [c27]Natalie Kiesler:
Workshop: Towards Open Data Practices at the International Conference on the Internet of Everything. IoECon 2023: 139-143 - [c26]Natalie Kiesler, Bonnie K. MacKellar, Amruth N. Kumar, Renée McCauley, Rajendra K. Raj, Mihaela Sabin, John Impagliazzo:
Computing Students' Understanding of Dispositions: A Qualitative Study. ITiCSE (1) 2023: 103-109 - [c25]James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Petersen, Raymond Pettit, Brent N. Reeves, Jaromír Savelka:
The Robots Are Here: Navigating the Generative AI Revolution in Computing Education. ITiCSE-WGR 2023: 108-159 - [c24]Natalie Kiesler, Daniel Schiffner:
Why We Need Open Data in Computer Science Education Research. ITiCSE (1) 2023: 348-353 - [c23]Natalie Kiesler, Carsten Thorbrügge:
Socially Responsible Programming in Computing Education and Expectations in the Profession. ITiCSE (1) 2023: 443-449 - [c22]James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michael E. Caspersen, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Petersen, Raymond Pettit, Brent N. Reeves, Jaromír Savelka:
Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans. ITiCSE (2) 2023: 561-562 - [c21]Mihaela Sabin, Natalie Kiesler, Amruth N. Kumar, Bonnie K. MacKellar, Renée McCauley, Rajendra K. Raj, John Impagliazzo:
Fostering Dispositions and Engaging Computing Educators. SIGCSE (2) 2023: 1216-1217 - [c20]Amruth N. Kumar, Renée McCauley, Bonnie K. MacKellar, Mihaela Sabin, Natalie Kiesler, Rajendra K. Raj:
Quantitative Results from a Study of Professional Dispositions. SIGCSE (2) 2023: 1390 - [i5]Natalie Kiesler, Daniel Schiffner:
Large Language Models in Introductory Programming Education: ChatGPT's Performance and Implications for Assessments. CoRR abs/2308.08572 (2023) - [i4]Natalie Kiesler, Dominic Lohr, Hieke Keuning:
Exploring the Potential of Large Language Models to Generate Formative Programming Feedback. CoRR abs/2309.00029 (2023) - [i3]James Prather, Paul Denny, Juho Leinonen, Brett A. Becker, Ibrahim Albluwi, Michelle Craig, Hieke Keuning, Natalie Kiesler, Tobias Kohn, Andrew Luxton-Reilly, Stephen MacNeil, Andrew Peterson, Raymond Pettit, Brent N. Reeves, Jaromír Savelka:
The Robots are Here: Navigating the Generative AI Revolution in Computing Education. CoRR abs/2310.00658 (2023) - 2022
- [c19]Natalie Kiesler, Daniel Schiffner:
ComPleTT - Common Plattform for electronic Teacher Training. DeLFI Workshops 2022: 191-198 - [c18]Natalie Kiesler, Daniel Schiffner:
On the Lack of Recognition of Software Artifacts and IT Infrastructure in Educational Technology Research. DELFI 2022: 201-206 - [c17]Natalie Kiesler:
Reviewing Constructivist Theories to Help Foster Creativity in Programming Education. FIE 2022: 1-5 - [c16]Natalie Kiesler, John Impagliazzo:
Implementing Diversity, Equity, and Inclusion in Accreditation. ICACIT 2022: 1-6 - [c15]Natalie Kiesler, John Impagliazzo:
Perspectives on the Internet of Everything. IoECon 2022: 3-17 - [c14]Johan Jeuring, Hieke Keuning, Samiha Marwan, Dennis J. Bouvier, Cruz Izu, Natalie Kiesler, Teemu Lehtinen, Dominic Lohr, Andrew Petersen, Sami Sarsa:
Towards Giving Timely Formative Feedback and Hints to Novice Programmers. ITiCSE-WGR 2022: 95-115 - [c13]Natalie Kiesler, Carsten Thorbrügge:
A Comparative Study of Programming Competencies in Vocational Training and Higher Education. ITiCSE (1) 2022: 214-220 - [c12]Johan Jeuring, Hieke Keuning, Samiha Marwan, Dennis J. Bouvier, Cruz Izu, Natalie Kiesler, Teemu Lehtinen, Dominic Lohr, Andrew Petersen, Sami Sarsa:
Steps Learners Take when Solving Programming Tasks, and How Learning Environments (Should) Respond to Them. ITiCSE (2) 2022: 570-571 - [c11]John Impagliazzo, Natalie Kiesler, Amruth N. Kumar, Bonnie K. MacKellar, Rajendra K. Raj, Mihaela Sabin:
Perspectives on Dispositions in Computing Competencies. ITiCSE (2) 2022: 662-663 - [c10]Natalie Kiesler:
Mental Models of Recursion: A Secondary Analysis of Novice Learners' Steps and Errors in Java Exercises. PPIG 2022: 226-240 - [i2]Natalie Kiesler:
An Exploratory Analysis of Feedback Types Used in Online Coding Exercises. CoRR abs/2206.03077 (2022) - 2021
- [b1]Natalie Kiesler:
Kompetenzförderung in der Programmierausbildung durch Modellierung von Kompetenzen und informativem Feedback. University of Frankfurt, Frankfurt am Main, Germany, 2021 - [c9]Natalie Kiesler:
Wer ist GeRRI? Eine kritische Diskussion des Gemeinsamen Referenzrahmens Informatik. DELFI 2021: 343-348 - [c8]Rajendra K. Raj, Mihaela Sabin, John Impagliazzo, David Bowers, Mats Daniels, Felienne Hermans, Natalie Kiesler, Amruth N. Kumar, Bonnie K. MacKellar, Renée McCauley, Syed Waqar Nabi, Michael Oudshoorn:
Professional Competencies in Computing Education: Pedagogies and Assessment. ITiCSE-WGR 2021: 133-161 - [c7]Rajendra K. Raj, Mihaela Sabin, John Impagliazzo, David Bowers, Mats Daniels, Felienne Hermans, Natalie Kiesler, Amruth N. Kumar, Bonnie K. MacKellar, Renée McCauley, Syed Waqar Nabi, Michael Oudshoorn:
Toward Practical Computing Competencies. ITiCSE (2) 2021: 603-604 - [c6]Natalie Kiesler, Benedikt Pfülb:
The Boolean Dilemma: Representing Gender as Data Type. Koli Calling 2021: 30:1-30:2 - 2020
- [c5]Natalie Kiesler:
Kompetenzmodellierung für die grundlegende Programmierausbildung - Eine kritische Diskussion zu Vorzügen und Anwendbarkeit der Anderson Krathwohl Taxonomie im Vergleich zum Kompetenzmodell der GI. DeLFI 2020: 187-192 - [c4]Natalie Kiesler:
Towards a Competence Model for the Novice Programmer Using Bloom's Revised Taxonomy - An Empirical Approach. ITiCSE 2020: 459-465 - [c3]Natalie Kiesler:
On Programming Competence and its Classification. Koli Calling 2020: 1:1-1:10 - [i1]Natalie Kiesler:
Zur Modellierung und Klassifizierung von Kompetenzen in der grundlegenden Programmierausbildung anhand der Anderson Krathwohl Taxonomie. CoRR abs/2006.16922 (2020)
2010 – 2019
- 2018
- [c2]Natalie Kiesler:
Feedback als Licht im Dunkeln - Zwischen Lust und Frust beim Lernen von Programmieren mit Online-Tools(Feedback Sheds Light in the Dark - Between Pleasure and Pain When Learning Programming with Online Tools). DeLFI Workshops 2018 - 2016
- [c1]Natalie Kiesler:
Ein Bild sagt mehr als tausend Worte - interaktive Visualisierungen in webbasierten Programmieraufgaben. DeLFI 2016: 335-337
Coauthor Index
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last updated on 2024-10-25 20:13 CEST by the dblp team
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