Cikkek nyilvánosan hozzáférhető megbízással - Joshua M. RosenbergTovábbi információ
Valahol hozzáférhető: 25
tidyLPA: An R package to easily carry out Latent Profile Analysis (LPA) using open-source or commercial software
JM Rosenberg, PN Beymer, DJ Anderson, CJ van Lissa, JA Schmidt
Journal of Open Source Software 4 (44), 978, 2018
Megbízások: US National Science Foundation
A person‐in‐context approach to student engagement in science: Examining learning activities and choice
JA Schmidt, JM Rosenberg, PN Beymer
Journal of Research in Science Teaching 55 (1), 19-43, 2018
Megbízások: US National Science Foundation
Same data, different conclusions: Radical dispersion in empirical results when independent analysts operationalize and test the same hypothesis
M Schweinsberg, M Feldman, N Staub, OR van den Akker, RCM van Aert, ...
Organizational behavior and human decision processes 165, 228-249, 2021
Megbízások: Swiss National Science Foundation
Examining relationships among choice, affect, and engagement in summer STEM programs
PN Beymer, JM Rosenberg, JA Schmidt, NJ Naftzger
Journal of Youth and Adolescence 47, 1178-1191, 2018
Megbízások: US National Science Foundation
Combining machine learning and qualitative methods to elaborate students’ ideas about the generality of their model-based explanations
JM Rosenberg, C Krist
Journal of Science Education and Technology 30 (2), 255-267, 2021
Megbízások: US National Science Foundation
Making sense of uncertainty in the science classroom: A Bayesian approach
JM Rosenberg, M Kubsch, EJ Wagenmakers, M Dogucu
Science & Education 31 (5), 1239-1262, 2022
Megbízások: US National Science Foundation
Big data, big changes? The technologies and sources of data used in science classrooms
JM Rosenberg, EH Schultheis, MK Kjelvik, A Reedy, O Sultana
British Journal of Educational Technology 53 (5), 1179-1201, 2022
Megbízások: US National Science Foundation
Does choice matter or is it all about interest? An investigation using an experience sampling approach in high school science classrooms
PN Beymer, JM Rosenberg, JA Schmidt
Learning and Individual Differences 78, 101812, 2020
Megbízások: US National Science Foundation
All the pieces matter: The relationship of momentary self-efficacy and affective experiences with CS1 achievement and interest in computing
A Lishinski, J Rosenberg
Proceedings of the 17th ACM Conference on International Computing Education …, 2021
Megbízások: US National Science Foundation
Distributing epistemic functions and tasks—A framework for augmenting human analytic power with machine learning in science education research
M Kubsch, C Krist, JM Rosenberg
Journal of Research in Science Teaching 60 (2), 423-447, 2023
Megbízások: US National Science Foundation
Leveraging mathematics software data to understand student learning and motivation during the COVID-19 pandemic
T Rutherford, K Duck, JM Rosenberg, R Patt
Journal of Research on Technology in Education 54 (sup1), S94-S131, 2022
Megbízások: US National Science Foundation
Self-efficacy, interest, and belongingness–URM students’ momentary experiences in CS1
A Lishinski, S Narvaiz, JM Rosenberg
Proceedings of the 2022 ACM Conference on International Computing Education …, 2022
Megbízások: US National Science Foundation
Development of a community-driven mosquito surveillance program for vectors of La Crosse virus to educate, inform, and empower a community
RT Trout Fryxell, M Camponovo, B Smith, K Butefish, JM Rosenberg, ...
Insects 13 (2), 164, 2022
Megbízások: US Department of Agriculture
How does situational engagement vary between learners, situations, and classrooms? Findings from the use of intensive longitudinal methods and cross-classified, multi-level models
J Rosenberg, PN Beymer, V Phun, J Schmidt
OSF, 2020
Megbízások: US National Science Foundation
Champions of transparency in education: what journal reviewers can do to encourage open science practices
R Renbarger, JL Adelson, JM Rosenberg, SM Stegenga, O Lowrey, ...
Gifted Child Quarterly 67 (4), 337-351, 2023
Megbízások: US Institute of Education Sciences
Using intensive longitudinal methods to quantify the sources of variability for situational engagement in science learning environments
JM Rosenberg, PN Beymer, V Phun, JA Schmidt
International Journal of STEM Education 10 (1), 68, 2023
Megbízások: US National Science Foundation
Big data, big changes? A survey of K-12 science teachers in the United States on which data sources and tools they use in the classroom
J Rosenberg, E Schultheis, M Kjelvik, A Reedy, O Sultana
OSF, 2021
Megbízások: US National Science Foundation
Development of an Online Experiment Platform for High School Biology
DV Blondel, A Sansone, JM Rosenberg, EA Godin, BW Yang, ...
Journal of formative design in learning 3, 62-81, 2019
Megbízások: US National Institutes of Health
konfound: An R Sensitivity Analysis Package to Quantify the Robustness of Causal Inferences
S Narvaiz, Q Lin, JM Rosenberg, KA Frank, SJ Maroulis, W Wang, R Xu
Journal of Open Source Software 9 (95), 5779, 2024
Megbízások: US Institute of Education Sciences, US Department of Education
Open and Useful? Exploring the Science Education Resources on OER Commons
JM Rosenberg
Contemporary Issues in Technology and Teacher Education 23 (3), 490-507, 2023
Megbízások: Hewlett Foundation
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