What factors predict the underreporting of sexual harassment in academe? We used logistic regression and sentiment analysis to examine 2,343 reports of sexual harassment involving members of university communities. Results indicate students were 1.6 times likely to not report their experiences when compared to faculty. Respondents in the life and physical sciences were 1.7 times more likely to not report their experiences when compared to respondents in other disciplines. Men represented 90% of the reported perpetrators of sexual harassment. Analysis of respondents' written accounts show variation of overall sentiment based on discipline, student type, and the type of institution attended, particularly with regard to mental health. Our results suggest that institutional and departmental barriers driven by power asymmetries play a large role in the underreporting sexual harassment among students-especially those in STEM disciplines.
We are now able to collect enormous amounts of information at the learner level. Mining educational data to provide data-driven analytics has spurred great interest among researchers and policymakers that continues to grow. This growing research area is called educational data mining (EDM). Yet the growing interest in the topic has also resulted in a fragmented body of literature. This recent growth justifies and renders it important to synthesize the extant body of multidisciplinary research to bring this literature together into a systematic whole and to assess the extent of our current knowledge. To this purpose, this article provides a bibliometric review of the accumulated literature (N=194) on educational data mining during 2015-2019. Findings suggest that interest in educational data mining has increased in recent years. The mainstream studies in this stream of research mainly focus on using state-of-the-art EDM techniques to optimize prediction models to accurately predict learners' academic performance and to early detect behaviors of learners for timely intervention. In addition, our findings show that EDM literature contains publications of researchers from diverse countries. Most studies were a result of collaborations between multiple authors, and most authors collaborated with authors from the same country. The United States, China, and Spain are the countries with the most prolific publications in EDM literature. For future research, EDM researchers should increase discussions on connecting theories with EDM techniques, discussions on ethics and privacy issues, and international collaboration.
School campus closures due to COVID-19 forced transition to remote learning in March 2020, which continues in Fall 2020. Remote learning measures presents multiple challenges for low-income, minority families, and these families have been disproportionately affected by the COVID-19 crisis. We sought to understand the challenges they faced, including the lack of Internet access and devices, digital skills and lack of appropriate learning space at home.
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