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๐Ÿ” thomas eiter ๐Ÿ“‚ Education
Showing 198 results for "thomas eiter" in Education
Education Preprint PDF DOI

Six textbook mistakes in quantum field theory

Alexandros Gezerlis ยท 2026

This article discusses incorrect statements appearing in textbooks on quantum field theory (QFT); some of these mistakes also appear in the research literature. The focus is not on errors made by an iโ€ฆ

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Education Preprint PDF DOI

The Physics of Gudeg: Learning the Mechanics and Thermal Properties Using Collaborative Project based Activities for the High School Physics

Bayu Setiaji, Pramudya Wahyu Pradana, Febrina Siska Widyaningtyas, Purwoko Haryadi Santoso, Yusman Wiyatmo, Heru Kuswanto ยท 2026

In this paper, we describe a presentation on the physics of Gudeg, a traditional food from Indonesia specifically originated in the Special District of Yogyakarta. This learning context is designed foโ€ฆ

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What does it mean to think like a physicist? Insights from physics graduate students

Apekshya Ghimire, Chandralekha Singh ยท 2026

Learning to think like a physicist (LTP) is often cited as a central goal of graduate physics education, yet what this means in practice and the extent to which physics graduate education prepares stuโ€ฆ

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A visual introduction to curved geometry for physicists

Karol Urbanski ยท 2026

This article provides a gentle, visual introduction to the basic concepts of differential geometry appropriate for students familiar with special relativity. Visual methods are used to explain basics โ€ฆ

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Chatbot Conversations in Physics Education: Using Artificial Intelligence to Analyze Student Reasoning through Computational Grounded Theory

Atharva Dange, Ramon E. Lopez ยท 2026

This study applies Computational Grounded Theory (CGT) to analyze student misconceptions using interaction data from an AI-powered chatbot deployed in a university-level Modern Physics course. The chaโ€ฆ

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Students' understanding of the 2D Heat Equation: An APOS approach

Maria Al Dehaybes, Johan Deprez, Paul van Kampen, Mieke De Cock ยท 2026

In this paper, we use the APOS theoretical framework to validate a hypothetical learning trajectory of the 2D heat equation, a preliminary genetic decomposition that stresses the conceptual understandโ€ฆ

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Exploring Students perceptions of their learning experience and self efficacy in physics online class with project based learning

Mutmainna, Edi Istiyono, Haryanto, Beta Wulan Febriana ยท 2026

Project Based Learning (PBL), recognized as an active learning strategy, has been linked to self efficacy of student in prior studies, including those within Physics Education Research. Meanwhile, tecโ€ฆ

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Education Preprint PDF DOI

SMARTHEP: training PhD students in real-time analysis at the LHC and in industry

Johannes Albrecht, Laura Boggia, Leon Bozianu, Andrew Carey, Carlos Cocha, Caterina Doglioni, James Andrew Gooding, Joachim Hansen, Patin Inkaew, Kaare Iversen, Pratik Jawahar, Henning Kirschenmann, Daniel Magdalinski, Alice Ohlson, Micol Olocco, Henrique Pineiro Monteagudo, Steven Schramm, Mike Sokoloff, Alexandros Sopasakis, Leonardo Taccari, Sten {AA}strand ยท 2026

In this invited Editorial for Software and Computing for Big Science, we describe the SMARTHEP Innovative Training Network funded via the Marie Sk{\l}odowska-Curie Actions between 2021 and 2025. SMARTโ€ฆ

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Education Preprint PDF DOI

A critical review of pre-post surveys designed to measure student epistemology in undergraduate science courses

Kyriaki Chatzikyriakidou, Kristi L. Hall, Edward F. Redish, Todd J. Cooke ยท 2025

The epistemology of science students, i.e., their beliefs about the nature of the knowledge they are learning, about what they have to do to learn it, and about how they will use that knowledge, oftenโ€ฆ

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gr-Orbit-Toolkit: A Python-Based Software for Simulating and Visualizing Relativistic Orbits

Milagros Delgado, Wladimir E. Banda-Barragan ยท 2025

Creating software dedicated to simulation is essential for teaching and research in Science, Technology, Engineering, and Mathematics (STEM). Physics lecturing can be more effective when digital twinsโ€ฆ

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Examining Student and AI Generated Personalized Analogies in Introductory Physics

Amogh Sirnoorkar, Winter Allen, Syed Furqan Abbas Hashmi, N. Sanjay Rebello ยท 2025

Comparing abstract concepts (such as electric circuits) with familiar ideas (plumbing systems) through analogies is central to practice and communication of physics. Contemporary research highlights sโ€ฆ

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Preparing students for the quantum information revolution: Interdisciplinary teaching, curriculum development, and advising in quantum information science and engineering

Fargol Seifollahi, Chandralekha Singh ยท 2025

As the field of quantum information science and engineering (QISE) continues its rapid growth, there are increasing concerns about the workforce demands and the necessity of preparing students for quaโ€ฆ

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Double Slit Experiment from Nano to Femto Scale

Arvind Khuntia, Raghunath Sahoo ยท 2025

The evolution of light theories began with Isaac Newton's corpuscular model, which explained reflection and refraction but could not account for diffraction and interference. In contrast, Christiaan Hโ€ฆ

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Feedback That Clicks: Introductory Physics Students' Valued Features in AI Feedback Generated From Self-Crafted and Engineered Prompts

Amogh Sirnoorkar, N. Sanjay Rebello ยท 2025

Since the advent of GPT-3.5 in 2022, Generative Artificial Intelligence (AI) has shown tremendous potential in STEM education, particularly in providing real-time, customized feedback to students in lโ€ฆ

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Education Preprint PDF DOI

Industry Perspectives on Projected Quantum Workforce Needs

Shams El-Adawy, A.R. Pina, Benjamin M. Zwickl, H.J. Lewandowski ยท 2025

As more physics educators are developing courses and programs to prepare students for careers in quantum information science, understanding the quantum industry's future workforce needs has become incโ€ฆ

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Education Preprint PDF DOI

Industry Insights into Quantum Knowledge Needed for the Quantum Information Science and Engineering Workforce

A.R. Pina, Shams El-Adawy, H.J. Lewandowski, Benjamin M. Zwickl ยท 2025

Quantum Information Science and Engineering (QISE) education and workforce development are top priorities at the national level in the US. This has included a push for academia to support the developmโ€ฆ

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Investigation of the Inter-Rater Reliability between Large Language Models and Human Raters in Qualitative Analysis

Nikhil Sanjay Borse, Ravishankar Chatta Subramaniam, N. Sanjay Rebello ยท 2025

Qualitative analysis is typically limited to small datasets because it is time-intensive. Moreover, a second human rater is required to ensure reliable findings. Artificial intelligence tools may replโ€ฆ

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Education Preprint PDF DOI

From Self-Crafted to Engineered Prompts: Student Evaluations of AI-Generated Feedback in Introductory Physics

Amogh Sirnoorkar, N. Sanjay Rebello ยท 2025

The abilities of Generative-Artificial Intelligence (AI) to produce real-time, sophisticated responses across diverse contexts has promised a huge potential in physics education, particularly in proviโ€ฆ

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When AI Evaluates Its Own Work: Validating Learner-Initiated, AI-Generated Physics Practice Problems

Tobias Geisler, Gerd Kortemeyer ยท 2025

Large language models (LLMs) can now generate physics practice problems in real time, yet the educational value of these items hinges on rapid, reliable post-generation vetting. In this exploratory stโ€ฆ

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Dangerous Questions in Astronomy Education

Michael Fitzgerald, Rachel Freed, Dan Reichart, Kate Meredith, Kalee Tock, Daryl Janzen, Saeed Salimpour, Jennifer Lynn Bartlett, Matthew Beaky, Art Borja, Ken Brandt, Jim Buchholz, Patricia Craig, Anthony Crider, Richard Datwyler, Marta Dark-McNeese, Anna DeJong, Donovan Domingue, Debbie French, Oliver Fraser, Amy L. Glazier, Enrique Gomez, Erika Grundstrom, Nicole Gugliucci, Kevin Healy, Ardis Herrold, Ian Hewitt, Jack Howard, Katherine Hunt, Yashashree Jadhav, Jonathan Keohane, Noah Kearns, Lancelot Kao, Brian Kloppenborg, Kelly Kosmo O'Neil, Kevin Lee, Ulrike Lahaise, Sandy Liss, David McKinnon, Adam McKay, Stephen McNeil, Mariel Meier, Jackie Milingo, Qurat-ul-Ann Mirza, Abbas Mokhtarzadeh, Raul Morales-Juberias, Sean Moroney, Rhone O'Hara, Angela Osterman Meyer, Imad Pasha, Bradley W. Peterson, Luisa Rebull, Digesh Raut, Christine Russell, Ann Schmiedekamp, Carl Schmiedekamp, Madeline Shepley, Deanna Shields, Brooke Skelton, Don Smith, David Sukow, John B. Taylor, Elise Weaver, Michelle Wooten, Tiffany Stone Wolbrecht, David Yenerall ยท 2025

As astronomy enters an era defined by global telescope networks, petabyte-scale surveys, and powerful computational tools, the longstanding goals of astronomy education, particularly introductory ``ASโ€ฆ

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