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Melcher, Jennifer; Lavoie, Joel; Hays, Ryan; D'Mello, Ryan; Rauseo-Ricupero, Natali; Camacho, Erica; Rodriguez-Villa, Elena; Wisniewski, Hannah; Lagan, Sarah; Vaidyam, Aditya; Torous, John – Journal of American College Health, 2023
Objective: This study assessed the feasibility of capturing smartphone based digital phenotyping data in college students during the COVID-19 pandemic with the goal of understanding how digital biomarkers of behavior correlate with mental health. Participants: Participants were 100 students enrolled in 4-year universities. Methods: Each…
Descriptors: Telecommunications, Handheld Devices, College Students, COVID-19
John Zilvinskis; Louis Rocconi – Sage Research Methods Cases, 2016
The following case study describes a research project that used survey data from the National Survey of Student Engagement to examine the relationship between student engagement in higher education and institutional rank as reported by "U.S. News," "Forbes," and "Washington Monthly." The research article was presented…
Descriptors: Research Projects, Graduate Students, Researchers, College Students
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Weng, Xiaoqian; Li, Guangze; Li, Rongbao – Journal of Psycholinguistic Research, 2016
This study examined the mediating role of working memory (WM) in the relation between rapid automatized naming (RAN) and Chinese reading comprehension. Three tasks assessing differentially visual and verbal components of WM were programmed by E-prime 2.0. Data collected from 55 Chinese college students were analyzed using correlations and…
Descriptors: Short Term Memory, Naming, Chinese, Reading Comprehension
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Pérez-Lemonche, Ángel; Drury, Byron Coffin; Pritchard, David – International Educational Data Mining Society, 2018
We analyze results from paired pre- and post-instruction administration of the Mechanics Baseline Test to 2238 students in introductory mechanics classes. We investigate pairs of specific wrong answers given with unusual frequency by students on the pretest. We also identify transitions between pre- and post-test answers on the same question which…
Descriptors: Data Collection, Knowledge Level, Misconceptions, Pretests Posttests
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Guarcello, Maureen A.; Levine, Richard A.; Beemer, Joshua; Frazee, James P.; Laumakis, Mark A.; Schellenberg, Stephen A. – Technology, Knowledge and Learning, 2017
Supplemental Instruction (SI) is a voluntary, non-remedial, peer-facilitated, course-specific intervention that has been widely demonstrated to increase student success, yet concerns persist regarding the biasing effects of disproportionate participation by already higher-performing students. With a focus on maintaining access for all students, a…
Descriptors: Peer Teaching, Supplementary Education, College Students, Student Participation
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Escorcia, Dyanne; Passerault, Jean-Michel; Ros, Christine; Pylouster, Jean – Metacognition and Learning, 2017
We studied the processes involved in synthesis writing, focusing on planning, editing and self-regulation strategies. The aims of the study were a) to analyse the temporal distribution of cognitive strategies and self-regulation across the different phases of writing, b) to identify different writing approaches (i.e., profiles), and c) to…
Descriptors: College Students, Humanities, Writing (Composition), Synthesis
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Baloglu, Nuri – Educational Research and Reviews, 2017
In this study, the effects of family leadership orientation on social entrepreneurship, generativity and academic education success were examined with the views of college students. The study was conducted at a state university in Central Anatolia in Turkey. 402 college students who attending at three different colleges voluntarily participated in…
Descriptors: Leadership, Entrepreneurship, Academic Achievement, College Students
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McBroom, Jessica; Jeffries, Bryn; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2016
Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for early intervention. In this paper we investigate…
Descriptors: Data Collection, Student Behavior, Academic Achievement, Correlation
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Çevik, Gülsen Büyüksahin – Journal of Education and Practice, 2017
The current research aims to study university students' levels of anger and satisfaction with life, based on gender, years of attendance, accommodation, and whether they experience adjustment problems. The current research participants included a total of 484 individuals (X-bar age = 22.56; SD = 1.72; range = 19-37), with 269 (55.6%) males and 215…
Descriptors: Foreign Countries, College Students, Student Attitudes, Life Satisfaction
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Atherton, Mirella; Shah, Mahsood; Vazquez, Jenny; Griffiths, Zoe; Jackson, Brian; Burgess, Catherine – Open Learning, 2017
Curriculum design, teaching methods, assessments and range of academic support need to be inclusive in Open Access Enabling courses. The findings of this study confirm a correlation between student access to online learning materials and a positive impact on grades in science courses. More specifically, students who frequently use the online…
Descriptors: Foreign Countries, College Students, Educational Research, Data Collection
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Sole, Marla A. – Mathematics Teacher, 2016
Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…
Descriptors: Statistics, Mathematics Instruction, Data Collection, Teaching Methods
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Pardo, Abelardo; Han, Feifei; Ellis, Robert A. – IEEE Transactions on Learning Technologies, 2017
Self-regulated learning theories are used to understand the reasons for different levels of university student academic performance. Similarly, learning analytics research proposes the combination of detailed data traces derived from technology-mediated tasks with a variety of algorithms to predict student academic performance. The former approach…
Descriptors: Student Centered Learning, Learning Theories, College Students, Academic Achievement
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Xu, Cuiqin; Qi, Yan – Educational Technology & Society, 2017
Using computer keystroke logs, this study investigated how writing skill affected L2 writers' pausing patterns to gain insights into their management of the cognitive writing processes. The 59 participants, 29 in the more-skilled group and 30 in the less-skilled group, were recruited from a college English course at a key Chinese university. The…
Descriptors: Computer Assisted Instruction, Writing Instruction, Second Language Instruction, English (Second Language)
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Miyamoto, Yohsuke R.; Coleman, Cody A.; Williams, Joseph Jay; Whitehill, Jacob; Nesterko, Sergiy; Reich, Justin – Journal of Learning Analytics, 2015
A long history of laboratory and field experiments have demonstrated that dividing study time into many sessions is often superior to massing study time into few sessions, a phenomenon known as the "spacing effect." We use this well-established finding from the psychology literature as inspiration for investigating how students…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
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Pardos, Zachary A. – Journal of Learning Analytics, 2015
In Miyamoto et al. (2015, this issue) the authors looked to substantiate the presence of the spacing effect, referenced from the psychology literature, in several MOOCs. Their secondary analyses constituted a robust, empirical finding on the correspondence between session distribution and certification but with only a coarse, analogous…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
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