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Showing 1 to 15 of 35 results Save | Export
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Annabelle T. Lolinco; Thomas A. Holme – Journal of Chemical Education, 2024
Technological tools, like virtual assistants (aka chatbots), have been ubiquitous in people's day to day. The challenge becomes how educators leverage digital omnipresence to benefit the learning environment. Using a curated chatbot allows educators to reach more students with instructor-approved information, particularly in large classrooms.…
Descriptors: Help Seeking, Chemistry, Artificial Intelligence, Technology Uses in Education
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Li, Ak Wai; Sinnamon, Luanne S.; Kopak, Rick – Information and Learning Sciences, 2022
Purpose: The purpose of this study is to explore open data portals as data literacy learning environments. The authors examined the obstacles faced and strategies used by university students as non-expert open data portal users with different levels of data literacy, to inform the design of portals intended to scaffold informal and situated…
Descriptors: Data Collection, Multiple Literacies, Data, College Students
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Intepe, Gizem; Shearman, Don – Statistics Education Research Journal, 2020
Students in many Australian universities start their studies mathematically underprepared as there are no prerequisites for mathematics, and assumed knowledge requirements are often overlooked. Many degrees include at least one statistics subject for which students require a reasonable level of mathematical ability to successfully complete.…
Descriptors: Statistics, Academic Support Services, Mathematics Anxiety, Foreign Countries
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Schwartz, Allan J. – Journal of College Student Psychotherapy, 2016
Among the approaches that have been used to balance the demand for services with the agency's service resources is to limit the number of visits available to clients. Such limits have been introduced, however, without any empirical basis for estimating the impact of a limit on the overall demand for services or the proportion of clients. The…
Descriptors: College Students, Counseling Services, Probability, Persistence
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Guest, Greg; Namey, Emily; McKenna, Kevin – Field Methods, 2017
Few empirical studies exist to guide researchers in determining the number of focus groups necessary for a research study. The analyses described here provide foundational evidence to help researchers in this regard. We conducted a thematic analysis of 40 focus groups on health-seeking behaviors of African American men in Durham, North Carolina.…
Descriptors: Focus Groups, Sample Size, Evidence Based Practice, Thematic Approach
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Levy, Michal; Gumpel, Thomas P. – Journal of School Violence, 2018
This study explores correlations between bystanders' intervention styles by means of the bullying circle model. Three aims were examined in this study. First, we reevaluated the number and type of bystander intervention styles in aggressive school incidents. Second, we examined the association between reports of relational aggression and…
Descriptors: Audiences, Intervention, Bullying, Prevention
Castro, Francisco Enrique Vicente; Adjei, Seth; Colombo, Tyler; Heffernan, Neil – International Educational Data Mining Society, 2015
A great deal of research in educational data mining is geared towards predicting student performance. Bayesian Knowledge Tracing, Performance Factors Analysis, and the different variations of these have been introduced and have had some success at predicting student knowledge. It is worth noting, however, that very little has been done to…
Descriptors: Models, Student Behavior, Intelligent Tutoring Systems, Data Analysis
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Klingler, Severin; Käser, Tanja; Solenthaler, Barbara; Gross, Markus – International Educational Data Mining Society, 2016
The extraction of student behavior is an important task in educational data mining. A common approach to detect similar behavior patterns is to cluster sequential data. Standard approaches identify clusters at each time step separately and typically show low performance for data that inherently suffer from noise, resulting in temporally…
Descriptors: Student Behavior, Data Analysis, Behavior Patterns, Multivariate Analysis
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Price, Thomas; Zhi, Rui; Barnes, Tiffany – International Educational Data Mining Society, 2017
In this paper we present a novel, data-driven algorithm for generating feedback for students on open-ended programming problems. The feedback goes beyond next-step hints, annotating a student's whole program with suggested edits, including code that should be moved or reordered. We also build on existing work to design a methodology for evaluating…
Descriptors: Feedback (Response), Computer Software, Data Analysis, Programming
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Coombs, Nicole; Allen, Louise; Cooper, Simon; Cant, Robyn; Beauchamp, Alison; Laszcyk, Jacki; Giannis, Anita; Hopmans, Ruben; Bullock, Shane; Waller, Susan; McKenna, Lisa; Peck, Blake – Health Education Journal, 2018
Objective: This study explored young university students' (aged 18-24 years) health literacy, asthma experiences and help-seeking behaviours to inform the development of a web-based asthma education intervention relevant to this age group. Design: Exploratory mixed-methods design incorporateing a health literacy survey and interviews, plus the…
Descriptors: Foreign Countries, College Students, Diseases, Literacy
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Silva, João Carlos Sedraz; Zambom, Erik; Rodrigues, Rodrigo Lins; Ramos, Jorge Luis Cavalcanti; de Souza, Fernando da Fonseca – International Journal of Information and Communication Technology Education, 2018
The present article is aimed at analyzing the effects of learning analytics on students' self-regulated learning in a flipped classroom. An experiment was conducted with 96 engineering students, enrolled in a subject offered in the Flipped Classroom model. The students were divided into two groups: an experimental group (N = 51) and a control…
Descriptors: Blended Learning, Academic Achievement, Experimental Groups, Learning Strategies
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Hughes, Kate; Corcoran, Tim; Slee, Roger – Higher Education Research and Development, 2016
This paper reports on a small-scale project undertaken with tertiary students who identified as having an impairment either at enrolment or by registering with the university's Disability Support Unit (DSU). The aim of the study was to explore with these students ways in which the university was currently meeting their academic support needs and…
Descriptors: Foreign Countries, College Students, Disabilities, Chronic Illness
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Alschuler, Mari; Yarab, Jessica – Journal of College Student Retention: Research, Theory & Practice, 2018
Student veterans face many challenges when transitioning to college. This two-phase study first examined their retention and persistence through the use of archival data at one Midwestern public university. Results indicated a 50% graduation rate, comparable to the national average and above that for nonveterans at the same university. The second,…
Descriptors: Undergraduate Students, Veterans, Prevention, Student Attrition
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Park, Min Sook; Park, Hyejin – Information Research: An International Electronic Journal, 2016
Introduction: Health information-seeking and sharing online has become immensely intertwined with day-to-day information-seeking of US immigrants with health concerns. Despite the consistent recognition of unique health needs among different US immigrant communities, little is known about the distinctive patterns and extent of health information…
Descriptors: Korean Americans, Cancer, Help Seeking, Computer Mediated Communication
Ciscell, Galen; Foley, Leslie; Luther, Kate; Howe, Robin; Gjsedal, Taylor – Learning Assistance Review, 2016
For this focus group study we recruited from a population of 345 university students who had been informed of their poor academic performance in at least one course, but who had not utilized peer tutoring in the semester they received the warning, in order to determine if stigma played a role in their decision not to seek help. We learned from…
Descriptors: Undergraduate Students, At Risk Students, Academic Failure, Barriers
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