Arne Bewersdorff

According to our database, Arne Bewersdorff authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Simulating Validity: Modal Decoupling in MLLM Generated Feedback on Science Drawings.

Arne Bewersdorff, Nejla Yuruk, Xiaoming Zhai

Proceedings of the Artificial Intelligence in Education - 27th International Conference, 2026

2025

Towards Adaptive Feedback with AI: Comparing the Feedback Quality of LLMs and Teachers on Experimentation Protocols.

Kathrin Seßler, Arne Bewersdorff, Claudia Nerdel, Enkelejda Kasneci

CoRR, February, 2025

Multimodality of AI for Education: Toward Artificial General Intelligence.

Gyeong-Geon Lee, Lehong Shi, Ehsan Latif, Yizhu Gao, Arne Bewersdorff, Matthew Nyaaba, Shuchen Guo, Zhengliang Liu, Gengchen Mai, Tianming Liu, Xiaoming Zhai

IEEE Trans. Learn. Technol., 2025

Development and validation of a short AI literacy test (AILIT-S) for university students.

Marie Hornberger, Arne Bewersdorff, Daniel S. Schiff, Claudia Nerdel

Comput. Hum. Behav. Artif. Humans, 2025

A multinational assessment of AI literacy among university students in Germany, the UK, and the US.

Marie Hornberger, Arne Bewersdorff, Daniel S. Schiff, Claudia Nerdel

Comput. Hum. Behav. Artif. Humans, 2025

How AI literacy correlates with affective, behavioral, cognitive and contextual variables: A systematic review.

Arne Bewersdorff, Claudia Nerdel, Xiaoming Zhai

Comput. Educ. Artif. Intell., 2025

AI advocates and cautious critics: How AI attitudes, AI interest, use of AI, and AI literacy build university students' AI self-efficacy.

Arne Bewersdorff, Marie Hornberger, Claudia Nerdel, Daniel S. Schiff

Comput. Educ. Artif. Intell., 2025

2024

Can OpenAI o1 outperform humans in higher-order cognitive thinking?

Ehsan Latif, Yifan Zhou, Shuchen Guo, Lehong Shi, Yizhu Gao, Matthew Nyaaba, Arne Bewersdorff, Xiantong Yang, Xiaoming Zhai

CoRR, 2024

A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education.

Ehsan Latif, Yifan Zhou, Shuchen Guo, Yizhu Gao, Lehong Shi, Matthew Nayaaba, Gyeong-Geon Lee, Liang Zhang, Arne Bewersdorff, Luyang Fang, Xiantong Yang, Huaqin Zhao, Hanqi Jiang, Haoran Lu, Jiaxi Li, Jichao Yu, Weihang You, Zhengliang Liu, Vincent Shung Liu, Hui Wang, Zihao Wu, Jin Lu, Fei Dou, Ping Ma, Ninghao Liu, Tianming Liu, Xiaoming Zhai

CoRR, 2024

Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education.

Arne Bewersdorff, Christian Hartmann, Marie Hornberger, Kathrin Seßler, Maria Bannert, Enkelejda Kasneci, Gjergji Kasneci, Xiaoming Zhai, Claudia Nerdel

CoRR, 2024

2023

Multimodality of AI for Education: Towards Artificial General Intelligence.

Gyeong-Geon Lee, Lehong Shi, Ehsan Latif, Yizhu Gao, Arne Bewersdorff, Matthew Nyaaba, Shuchen Guo, Zihao Wu, Zhengliang Liu, Hui Wang, Gengchen Mai, Tiaming Liu, Xiaoming Zhai

CoRR, 2023

What do university students know about Artificial Intelligence? Development and validation of an AI literacy test.

Marie Hornberger, Arne Bewersdorff, Claudia Nerdel

Comput. Educ. Artif. Intell., 2023

Myths, mis- and preconceptions of artificial intelligence: A review of the literature.

Arne Bewersdorff, Xiaoming Zhai, Jessica Roberts, Claudia Nerdel

Comput. Educ. Artif. Intell., 2023

Assessing student errors in experimentation using artificial intelligence and large language models: A comparative study with human raters.

Arne Bewersdorff, Kathrin Seßler, Armin Baur, Enkelejda Kasneci, Claudia Nerdel

Comput. Educ. Artif. Intell., 2023