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GIREP-EPEC 2023 Conference, Košice, Slovakia

3–7 Jul 2023
Faculty of Science, UPJS, Košice, Slovakia
Europe/Bratislava timezone

Local organizing committee

Session

Digital technologies

DIG
3 Jul 2023, 16:00
Faculty of Science, UPJS, Košice, Slovakia

Faculty of Science, UPJS, Košice, Slovakia

Šrobárova 2, Košice, Slovakia

Conveners

Digital technologies: 176,048,051,185

  • Chairman: Michael Fox

Description

DIG: Digital technologies in physics education

Presentation materials

There are no materials yet.

  1. 176. Open Data Science Tools and Artificial Intelligence in Physics Education & Research
    Prof. Jozef Hanč (P. J. Safarik University)
    03/07/2023, 16:00
    Digital technologies in physics education
    Oral presentation

    The current data-driven era is rapidly transforming the world around us, including physics education research (PER) and education. Modern statistical, data science, and artificial intelligence (AI) methodologies enhance data processing, analysis, and visualization, enabling optimal data-driven decision-making. As PER increasingly adopts advanced methods and tools, there is still a lack of full...

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  2. 48. Equipping the Youth for the 21st Century - Open Data and Scientific Literacy for All
    Peitsa Veteli (Helsinki Institute of Physics (FI))
    03/07/2023, 16:20
    Digital technologies in physics education
    Oral presentation

    Our increasingly data-driven societies put pressure on the students’ skillsets while schools struggle to fit the demands of global digitalisation into their curricula. Promoting data-based literacy skills in the students’ upbringing requires their committed long-term application in meaningful contexts, in which open data from “the real world” of scientific experiments and governmental...

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  3. 185. Integrating Python data analysis in an existing introductory laboratory course
    Eugenio Tufino (University of Trento)
    03/07/2023, 16:40
    Digital technologies in physics education
    Oral presentation

    In this presentation we describe how we incorporated data analysis with Python in the first year laboratory course at the University of Potsdam. This transformation was implemented without considerably altering the course structure. We carefully designed Jupyter Notebooks with exercises and applied physics examples. We use these Notebooks to guide students through the fundamentals of data...

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  4. 51. Context dependence of machine-learning models for the analysis of argumentation in undergraduate lab reports
    Michael Fox (Imperial College London)
    03/07/2023, 17:00
    Digital technologies in physics education
    Oral presentation

    Lab reports form an important part of learning experimental physics in undergraduate courses. Advances in natural language processing give us new tools that allow for the large-scale qualitative analysis of lab reports to understand how students demonstrate their skills and knowledge. Hence, we compare natural language processing techniques to understand whether it is possible to reliably...

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