Open R and Python-based Digital Tools in Statistics, Random Processes, and Metrology

Hanč, Jozef; Hančová, Martina; Gajdoš, Andrej

doi:10.1109/iceta57911.2022.9974918

Cited by 2 publications

(5 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The above classification of learning spaces allows us to present the important theoretical frameworks connected to BL. The very natural fundamental pedagogical principle of BL, from which all successful and efficient BL pedagogical models emerge and strive to adhere, states [2,10]:…”

Section: Blended Learning In Action: Pedagogical Models and Configura...mentioning

confidence: 99%

“…Specifically, students mastered measurements using vernier calipers, micrometers, double-pan balances, digital scales, and setting up simple experimental apparatuses. More educational examples from our blended learning can be found in [9][10][11]20].…”

Section: Blended Learning In Action: Pedagogical Models and Configura...mentioning

confidence: 99%

“…Today, in our current scientific projects mentioned in the acknowledgments, we are intensively exploring the use of modern open data science tools to simplify the handling of educational data. From what we have found so far, these tools greatly streamline the process with just a few clicks, eliminating the need for extensive setups or substantial software investments (see our papers [8][9][10][11]). Furthermore, with the rise of generative AI, such as ChatGPT, these tools have become more accessible to BL teachers and researchers without programming skills.…”

Section: Future Perspectives In Bl Data Managementmentioning

confidence: 99%

“…• synchronous − simultaneously, often at approximately the same pace, usually in the classroom • asynchronous − not simultaneously, anytime, at one's own pace, typically online Especially notable digital spaces in STEM education are two widely used and free collaborative digital platforms. The open science Jupyter notebooks (https://jupyter.org/) allow effective interactive STEM education [8][9][10] where students can together do (synchronously or asynchronously) on, e.g. interactive visualizations, modeling, programming, and solve genuine, multifaceted interdisciplinary challenging problems (see figure 2, upper half).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Blended learning: A data-literate science teacher is a better teacher

Hanč,

Borovský,

Hančová

2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

The COVID-19 pandemic has underscored the importance of blended learning in contemporary physics and, more generally, STEM education. In this contribution, we summarize current pedagogical models of blended learning, such as rotational and flexible non-rotational models, and customizable configurations of physical and virtual learning spaces. With the inevitable integration of digital technology as one of the pillars of blended learning, teachers find themselves in an unprecedented position to not only obtain data more frequently but also analyze it and adjust instruction accordingly. Consequently, we discuss a crucial element of blended learning effectiveness: data management and usage. In this context, data literacy for teaching emerges as an essential skill for effective blended learning, encompassing the ability to transform various data types into actionable instructional knowledge and practices. In other words, current research in physics education shows that a data-literate science teacher is a more prosperous and effective teacher.

show abstract

Section: Blended Learning In Action: Pedagogical Models and Configura...mentioning

confidence: 99%

Section: Blended Learning In Action: Pedagogical Models and Configura...mentioning

confidence: 99%

Section: Future Perspectives In Bl Data Managementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Blended learning: A data-literate science teacher is a better teacher

Hanč,

Borovský,

Hančová

2024

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…data analysis or visualization [17,18], or to report a computational activity in a form of a computational essay [19]. The use of Jupyter notebooks in physics education is reviewed in [20] where research results supporting the use of interactive learning tools such as Jupyter notebooks are also presented.…”

Section: Introductionmentioning

confidence: 99%

Exploring digital signal processing using an interactive Jupyter notebook and smartphone accelerometer data

Pirinen,

Klein,

Lahme

et al. 2023

Eur. J. Phys.

View full text Add to dashboard Cite

Digital signal processing is a valuable practical skill for the contemporaryphysicist, yet in physics curricula, its central concepts are often introduced eitherin method courses in a highly abstract and mathematics-oriented manner or in labwork with little explicit attention. In this paper, we present an experimental task inwhich we focus on a practical implementation of the discrete Fourier transform (DFT)in an everyday context of vibration analysis using data collected by a smartphoneaccelerometer. Students are accompanied in the experiment by a Jupyter notebookcompanion, which serves as an interactive instruction sheet and a tool for data analysis.The task is suitable for beyond-first-year university physics students with some priorexperience in uncertainty analysis, data representation, and data analysis. Based onour observations the experiment is very engaging. Students have consistently reportedinterest in the experiment and they have found it a good demonstration of the DFTmethod.

show abstract

Open R and Python-based Digital Tools in Statistics, Random Processes, and Metrology

Cited by 2 publications

References 13 publications

Blended learning: A data-literate science teacher is a better teacher

Blended learning: A data-literate science teacher is a better teacher

Exploring digital signal processing using an interactive Jupyter notebook and smartphone accelerometer data

Contact Info

Product

Resources

About