education research
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2022 ◽  
Author(s):  
Kayoko Komatsu ◽  
Kikuko Takagi ◽  
Hiroaki Ishiguro ◽  
Takeshi Okada
Keyword(s):  

2022 ◽  
Vol 22 (1) ◽  
pp. 1-46
Author(s):  
Sarah Heckman ◽  
Jeffrey C. Carver ◽  
Mark Sherriff ◽  
Ahmed Al-zubidy

Context. Computing Education Research (CER) is critical to help the computing education community and policy makers support the increasing population of students who need to learn computing skills for future careers. For a community to systematically advance knowledge about a topic, the members must be able to understand published work thoroughly enough to perform replications, conduct meta-analyses, and build theories. There is a need to understand whether published research allows the CER community to systematically advance knowledge and build theories. Objectives. The goal of this study is to characterize the reporting of empiricism in Computing Education Research literature by identifying whether publications include content necessary for researchers to perform replications, meta-analyses, and theory building. We answer three research questions related to this goal: (RQ1) What percentage of papers in CER venues have some form of empirical evaluation? (RQ2) Of the papers that have empirical evaluation, what are the characteristics of the empirical evaluation? (RQ3) Of the papers that have empirical evaluation, do they follow norms (both for inclusion and for labeling of information needed for replication, meta-analysis, and, eventually, theory-building) for reporting empirical work? Methods. We conducted a systematic literature review of the 2014 and 2015 proceedings or issues of five CER venues: Technical Symposium on Computer Science Education (SIGCSE TS), International Symposium on Computing Education Research (ICER), Conference on Innovation and Technology in Computer Science Education (ITiCSE), ACM Transactions on Computing Education (TOCE), and Computer Science Education (CSE). We developed and applied the CER Empiricism Assessment Rubric to the 427 papers accepted and published at these venues over 2014 and 2015. Two people evaluated each paper using the Base Rubric for characterizing the paper. An individual person applied the other rubrics to characterize the norms of reporting, as appropriate for the paper type. Any discrepancies or questions were discussed between multiple reviewers to resolve. Results. We found that over 80% of papers accepted across all five venues had some form of empirical evaluation. Quantitative evaluation methods were the most frequently reported. Papers most frequently reported results on interventions around pedagogical techniques, curriculum, community, or tools. There was a split in papers that had some type of comparison between an intervention and some other dataset or baseline. Most papers reported related work, following the expectations for doing so in the SIGCSE and CER community. However, many papers were lacking properly reported research objectives, goals, research questions, or hypotheses; description of participants; study design; data collection; and threats to validity. These results align with prior surveys of the CER literature. Conclusions. CER authors are contributing empirical results to the literature; however, not all norms for reporting are met. We encourage authors to provide clear, labeled details about their work so readers can use the study methodologies and results for replications and meta-analyses. As our community grows, our reporting of CER should mature to help establish computing education theory to support the next generation of computing learners.


2022 ◽  
pp. 0013189X2110708
Author(s):  
Matthew H. Rafalow ◽  
Cassidy Puckett

Existing scholarship suggests that schools do the work of social stratification by functioning as “sorting machines,” or institutions that determine which populations of students are provided educational resources needed to help them get ahead. We build on this theory of social reproduction by extending it to better understand how digital technology use is implicated in this process of unequal resource allocation in schools. We contend that educational resources, like digital technologies, are also sorted by schools. Drawing on scholarship from both education research and science and technology studies, we show how educational institutions have long played a role in constructing the value of technologies to different ends, by constructing hierarchies of technological activity, like “vocational” and “academic” computer use, even when strikingly similar. We then apply this lens to three areas of inquiry in education research: the use of digital technologies for instruction, school use of student data, and college admissions. Each illustrates how education scholars can view technologies as part of school sorting processes and with implications for inequality within and beyond the classroom.


2022 ◽  
Vol 99 (1) ◽  
pp. 1-4
Author(s):  
Zakiya S. Wilson-Kennedy ◽  
Leyte L. Winfield ◽  
Jennifer Nielson ◽  
Edgar A. Arriaga ◽  
Ann C. Kimble-Hill ◽  
...  

2022 ◽  
Vol 11 (1) ◽  
pp. 41
Author(s):  
Iwona Anna Jażdżewska ◽  
Łukasz Lechowski ◽  
Dominika Babuca

This paper presents a new geospatial approach, and a proposal to study the geographic educational path of individuals or social groups identified by researchers using a Geographic Information System (GIS) and spatial statistics. A scheme of research proceedings has been proposed, including obtaining data from various sources (including surveys and other sources, e.g., from the university and OpenStreetMap), their proper preparation and categorisation into one geodatabase on the GIS system, followed by visualisation and the calculation of statistics. The whole research procedure was carried out in GIS. The results can be useful for detecting patterns of educational paths in different countries and social groups, and comparing them. Indirectly, they can be used to study mobility, and to indicate the spatial range of studied schools. The study was carried out among a group of students of geoinformation at the University of Lodz. Visualization and analysis of their geographical educational path showed that most of them attended schools close to where they lived, indicating low mobility during their education. The results obtained may be relevant to the “spatial turn” in education research.


2022 ◽  
Vol 9 (1) ◽  
Author(s):  
Fatma Kayan-Fadlelmula ◽  
Abdellatif Sellami ◽  
Nada Abdelkader ◽  
Salman Umer

AbstractAbundant research conducted in many countries has underlined the critical role of Science, Technology, Engineering, and Mathematics (STEM) in developing human capital in fields important to a nation’s global competiveness and prosperity. In the Gulf Cooperation Council (GCC) States, recent long-term policy plans emphasize the ever-increasing need of transition to a knowledge-based economy and preparing highly qualified nationals with credentials in STEM fields to meet the current and future needs of the labor market. Yet, despite multiple educational reforms and substantial resources, national and international indicators of student performance still demonstrate insignificant improvement in GCC students’ achievement in STEM subjects. Demonstrably, the GCC youth still lack interest in STEM careers and represent low enrollment rates in STEM fields. This paper presents the results of a systematic review conducted on STEM education research in GCC countries. The review seeks to contribute to the body of the existing STEM literature, explore the factors influencing student participation in STEM, and identify the gaps in STEM education research in those countries.


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