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Brodsky, Jessica E.; Brooks, Patricia J.; Scimeca, Donna; Galati, Peter; Todorova, Ralitsa; Caulfield, Michael – AERA Open, 2021
College students, and adults in general, may find it hard to identify trustworthy information amid the proliferation of false news and misinformation about the COVID-19 pandemic. In Fall 2020, college students (N = 221) in an online general education civics course were taught through asynchronous assignments how to use lateral reading strategies…
Descriptors: Correlation, Online Courses, Reading Strategies, COVID-19
Cherrstrom, Catherine A.; Robbins, Stacey E.; Boden, Carrie J.; Bixby, John – Journal of Continuing Higher Education, 2019
Improved educational technology provides new opportunities and tools for enhanced teaching and learning. However, low efficacy with technology adversely affects nontraditional students' course and college outcomes. The purpose of this qualitative study was to examine nontraditional student perceptions of educational technology tools. We…
Descriptors: College Students, Nontraditional Students, Student Attitudes, Educational Technology
Samuel-Azran, Tal; Ravid, Gilad – Interactive Learning Environments, 2016
In light of systematic evidence that extroverts are disadvantaged in the classroom, we examined whether an online environment assignment that builds on extroverts' character strengths can increase their overall course satisfaction. Based on previous studies demonstrating that extroverts are energized by feedback from outsiders, we asked 180…
Descriptors: Student Journals, Electronic Journals, Web Sites, Extraversion Introversion
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating