Cover Image

Data Science Education in Undergraduate Physics: Lessons Learned from a Community of Practice

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shah, Karan, Butler, Julie, Knaub, Alexis, Zenginoğlu, Anıl, Ratcliff, William, Soltanieh-ha, Mohammad
Format:	Preprint
Published:	2024
Subjects:	Physics Education Machine Learning Data Analysis, Statistics and Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dominant misconceptions and alluvial flows between Engineering and Physical Science students
by: Chrysostomou, Anna, et al.
Published: (2024)

Using Text Embeddings for Deductive Qualitative Research at Scale in Physics Education
by: Odden, Tor Ole B., et al.
Published: (2024)

Easy JavaScript Simulation (EJSS) Data Analytics for Singapore
by: Wee, Loo Kang, et al.
Published: (2024)

Dynamic Metadata Schemes in the Neutron and Photon Science Communities: A Case Study of X-Ray Photon Correlation Spectroscopy
by: Tosson, Amir, et al.
Published: (2025)

It's Not The Plane -- It's The Pilot: A Framework for Cognitive-Activated AI-Augmentation to Avoid the Boiling Frog Problem
by: Kuhn, Jochen, et al.
Published: (2026)

Unsupervised and semi-supervised clustering methods to identify and refine participant experience levels in educational research
by: Weihs, Julien-Pooya, et al.
Published: (2025)

The Flight Physics Concept Inventory: Development of a research-based assessment instrument to enhance learning and teaching
by: Genz, Florian
Published: (2025)

Experimental Physics Laboratory 2: Calculating the Value of Water Density using Metal Rod and Water Container
by: Santos-Pereira, Osvaldo L.
Published: (2025)

Applying Machine Learning Methods to Laser Acceleration of Protons: Lessons Learned from Synthetic Data
by: Desai, Ronak, et al.
Published: (2023)

Roadmap on Data-Centric Materials Science
by: Bauer, Stefan, et al.
Published: (2024)

Training on Data Analysis Reproducibility via Containerization with Apptainer
by: Candelaria, Roy Cruz, et al.
Published: (2026)

Lectures on Statistics in Theory: Prelude to Statistics in Practice
by: Cousins, Robert D.
Published: (2018)

Approach to Data Science with Multiscale Information Theory
by: Nawaz, Shahid, et al.
Published: (2023)

Complexity of Financial Time Series: Multifractal and Multiscale Entropy Analyses
by: Masoudi, Oday, et al.
Published: (2025)

High-Performance Data Format for Scientific Data Storage and Analysis
by: Gavalian, Gagik
Published: (2025)

Exploring the Statistical Properties of Outputs from a Process Inspired by Geometrical Interpretation of Newton's Method
by: Kirouani, Taki
Published: (2024)

Data-driven Progressive Discovery of Physical Laws
by: Xia, Mingkun, et al.
Published: (2026)

Physical meaning of principal component analysis for classical lattice systems with translational invariance
by: Park, Su-Chan
Published: (2024)

Eigenvalue Distribution of Empirical Correlation Matrices for Multiscale Complex Systems and Application to Financial Data
by: de Moraes, Luan M. T., et al.
Published: (2025)

Physics-based linear regression for high-dimensional forward uncertainty quantification
by: Wang, Ziqi
Published: (2024)

Uncertainties in ROC (Receiver Operating Characteristic) Curves Derived from Counting Data
by: Fewell, M. P.
Published: (2024)

Workflows and Principles for Collaboration and Communication in Battery Research
by: Kuhn, Yannick, et al.
Published: (2025)

Data-driven assessment of optimal spatiotemporal resolutions for information extraction in noisy time series data
by: Doria, Domiziano, et al.
Published: (2024)

"Layer-by-layer" Unsupervised Clustering of Statistically Relevant Fluctuations in Noisy Time-series Data of Complex Dynamical Systems
by: Becchi, Matteo, et al.
Published: (2024)

Guidelines for the Creation of Analysis Ready Data
by: Phillips, Harriette, et al.
Published: (2024)

On the dynamical evolution of randomness Part A: Random experiments as dynamical systems
by: Lobo, Allen, et al.
Published: (2025)

On the dynamical evolution of randomness Part B: Geometrisation and the origin of convergence in LLN
by: Lobo, Allen
Published: (2025)

Elephant random walks with graph based shared memory: First and second order asymptotics
by: Das, Deborshi
Published: (2024)

Adiabatic Approximation of Coarse Grained Second Order Response
by: Müller, Fenna, et al.
Published: (2022)

Predictability Analysis and Prediction of Discrete Weather and Financial Time-Series Data with a Hamiltonian-Based Filter-Projection Approach
by: Kiefer, Henrik, et al.
Published: (2024)

Identification of the parameters of complex constitutive models: Least squares minimization vs. Bayesian updating
by: Most, Thomas
Published: (2024)

Exact fluctuation relation for open systems beyond the Jarzynski equality
by: Rahbar, Mohammad, et al.
Published: (2025)

Probabilistic Emissivity Retrieval from Hyperspectral Data via Physics-Guided Variational Inference
by: Tempelman, Joshua R., et al.
Published: (2025)

Single Pixel Imaging and Compressive Sensing: A Practical Tutorial
by: Scheidt, Dennis
Published: (2026)

Novel Data Models for Inter-operable LCA Frameworks
by: Malek, Kourosh, et al.
Published: (2024)

Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory
by: Kavrakov, Igor, et al.
Published: (2024)

A Tutorial on Bayesian Analysis of Linear Shock Compression Data
by: Bernstein, Jason, et al.
Published: (2026)

ALISE Library and Information Science Education Statistical Report, 1999.
by: Daniel, Evelyn H., Ed., et al.
Published: (1999)

Dynamic redundancy and mortality in stochastic search
by: Linn, Samantha, et al.
Published: (2026)

Statistical limits of correlation detection in trees
by: Ganassali, Luca, et al.
Published: (2022)