Title: Interdisciplinary and Community Collaboration through the Transition to Distance Learning caused by the COVID-19 Pandemic.
This submission was accepted for a special edition of Science Education and Civic Engagement: An International Journal focused on “Teaching Through Covid.” This submission was drawn from interviews, journals, and workshops of faculty participants and reviewed by the special edition editors prior to acceptance. more »« less
Dancer, F. C.
(, Journal of research in higher education)
Smith, I.
(Ed.)
The Journal of Research in Higher Education special edition - Women RISE (Research in STEM and STEM Education) is a peer-reviewed publication. This special edition focuses on scholarly articles, research studies, and related research conducted by women in Science, Technology, Engineering, Math and STEM Education. The Women RISE project was funded by the Thurgood Marshall College Fund, The National Coalition of 100 Black Women Central Mississippi Chapter and Jackson State University.
The papers published in this special edition of the Journal of Composites Science will give the polymer engineer and scientist insight into what the existing challenges are in the discontinuous fiber composites field, and how these challenges are being addressed by the research community. [...]
Prasad, Sushil K.; Ghafoor, Sheikh; Kaklamanis, Christos; Vaidyanathan, Ramachandran
(, Journal of parallel and distributed computing)
This special issue is devoted to progress in one of the most important challenges facing computing education.The work published here is of relevance to those who teach computing related topics at all levels, with greatest implications for undergraduate education. Parallel and distributed computing (PDC) has become ubiquitous to the extent that even casual users feel their impact. This necessitates that every programmer understands how parallelism and a distributed environment affect problem solving. Thus,teaching only traditional, sequential programming is no longer adequate. For this reason, it is essential to impart a range of PDC and high performance computing (HPC) knowledge and skills at various levels within the educational fabric woven by Computer Science (CS), Computer Engineering (CE), and related computational science and engineering curricula. This special issue sought high quality contributions in the fields of PDC and HPC education. Submissions were on the topics of EduPar2016, Euro-EduPar2016 and EduHPC2016 workshops,but the submission was open to all. This special issue includes 12 paper spanning pedagogical techniques, tools and experiences.
Abstract This special edition is based on the revelation that “the lessons learned and unlearned during COVID-19 grant us an unparalleled opportunity to reflect.” Here, we reflect on lessons learned related to teacher adaptiveness. We examined how the COVID-19 pandemic demonstrated the adaptiveness necessary for teachers to knowledge generation approaches aligned with the Next Generation Science Standards. First, we outline a three-year professional development program focused on knowledge generation approaches. We present findings from teachers’ experiences teaching science from 2019 to 2021, collected through consecutive form explanatory mixed-methods analysis involving written responses to vignettes (n = 474) and classroom observations (n = 58). Then, using an individual teacher case study, we explore how the shift to virtual teaching was supported by adaptiveness. Results suggest a significant relationship between teacher adaptiveness and the use of knowledge generation approaches. We conclude with implications for elementary science teacher professional development and present questions for further research on adaptiveness.
Price, Thomas W; Hsiao, Sharon; Akram, Bita; Brusilovsky, Peter; Leinonen, Juho
(, Journal of educational data mining)
Educational Data Mining in Computer Science Education (CSEDM) is an interdisciplinary research community that combines discipline-based computing education research (CER) with educational data-mining (EDM) to advance knowledge in ways that go beyond what either research community could do on its own. The JEDM Special Issue on CSEDM received a total of 12 submissions. Each submission was reviewed by at least three reviewers, who brought expertise from both the EDM and CER communities, as well as one of special issue editors. Ultimately, three papers were accepted, for an acceptance rate of 25%. These three papers cover a variety of important topics in CSEDM research. Edwards et al. discuss the challenges of collecting, sharing and analyzing programming data, and contribute two high-quality CS datasets. Gitinabard et al. contribute new approaches for analyzing data from pairs of students working on programs together, and show how such data can inform classroom instruction. Finally, Zhang et al. contribute a novel model for predicting students' programming performance based on their past performance. Together, these papers showcase the complexities of data, analytics and modeling in the domain of CS, and contribute to our understanding of how students learn in CS classrooms.
Bates, Diane C., King, Jessica, Pearson, Kim, and Pulimood, S. Monisha. Interdisciplinary and Community Collaboration through the Transition to Distance Learning caused by the COVID-19 Pandemic.. Retrieved from https://par.nsf.gov/biblio/10170351. Science Education and Civic Engagement: An International Journal .
Bates, Diane C., King, Jessica, Pearson, Kim, & Pulimood, S. Monisha. Interdisciplinary and Community Collaboration through the Transition to Distance Learning caused by the COVID-19 Pandemic.. Science Education and Civic Engagement: An International Journal, (). Retrieved from https://par.nsf.gov/biblio/10170351.
Bates, Diane C., King, Jessica, Pearson, Kim, and Pulimood, S. Monisha.
"Interdisciplinary and Community Collaboration through the Transition to Distance Learning caused by the COVID-19 Pandemic.". Science Education and Civic Engagement: An International Journal (). Country unknown/Code not available. https://par.nsf.gov/biblio/10170351.
@article{osti_10170351,
place = {Country unknown/Code not available},
title = {Interdisciplinary and Community Collaboration through the Transition to Distance Learning caused by the COVID-19 Pandemic.},
url = {https://par.nsf.gov/biblio/10170351},
abstractNote = {This submission was accepted for a special edition of Science Education and Civic Engagement: An International Journal focused on “Teaching Through Covid.” This submission was drawn from interviews, journals, and workshops of faculty participants and reviewed by the special edition editors prior to acceptance.},
journal = {Science Education and Civic Engagement: An International Journal},
author = {Bates, Diane C. and King, Jessica and Pearson, Kim and Pulimood, S. Monisha},
}
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