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Prat, Alain; Code, Warren J. – International Journal of Mathematical Education in Science and Technology, 2021
The online homework system WeBWorK has been successfully used at several hundred colleges and universities. Despite its popularity, the WeBWorK system does not provide detailed metrics of student performance to instructors. In this article, we illustrate how an analysis of the log files of the WeBWorK system can provide information such as the…
Descriptors: Data Analysis, Homework, Student Behavior, Educational Technology
Mangaroska, Katerina; Sharma, Kshitij; Giannakos, Michail; Træteberga, Hallvard; Dillenbourg, Pierre – Journal of Learning Analytics, 2018
This study investigates how multimodal user-generated data can be used to reinforce learner reflection, improve teaching practices, and close the learning analytics loop. In particular, the aim of the study is to utilize user gaze and action-based data to examine the role of a mirroring tool (i.e., Exercise View in Eclipse) in orchestrating basic…
Descriptors: Eye Movements, Student Behavior, Computer Science Education, Programming
Rawson, Kevin; Stahovich, Thomas F.; Mayer, Richard E. – Journal of Educational Psychology, 2017
There is a long history of research efforts aimed at understanding the relationship between homework activity and academic achievement. While some self-report inventories involving homework activity have been useful for predicting academic performance, self-reported measures may be limited or even problematic. Here, we employ a novel method for…
Descriptors: Homework, Technology Uses in Education, Academic Achievement, Engineering Education
Chen, Zhongzhou; Lee, Sunbok; Garrido, Geoffrey – International Educational Data Mining Society, 2018
The amount of information contained in any educational data set is fundamentally constrained by the instructional conditions under which the data are collected. In this study, we show that by redesigning the structure of traditional online courses, we can improve the ability of educational data mining to provide useful information for instructors.…
Descriptors: Online Courses, Course Organization, Data Analysis, Instructional Design
Bälter, Olle; Zimmaro, Dawn – Interactive Learning Environments, 2018
It is challenging for students to plan their work sessions in online environments, as it is very difficult to make estimates on how much material there is to cover. In order to simplify this estimation, we have extended the Keystroke-level analysis model with individual reading speed of text, figures, and questions. This was used to estimate how…
Descriptors: Keyboarding (Data Entry), Data Analysis, Time Management, Online Courses
Sanderson, Heather; DeRousie, Jason; Guistwite, Nicole – Journal of Student Affairs Research and Practice, 2018
This study examined the impact of collegiate recreation participation on academic success as measured by grade point average, course credit completion, and persistence or graduation. Logistic and multiple regressions were run to explore the relationship between total recreation contact hours and outcome variables. Results indicated a positive and…
Descriptors: College Athletics, Recreational Activities, Academic Achievement, Success
Hunter, Jevon D.; Silvestri, Katarina N.; Ackerman, Madison L. – School-University Partnerships, 2018
This article shares the qualitative research findings of an emerging professional development schools partnership that investigated the way Twitter, as a type of digital literacy, mediated literature discussions of Lois Lowry's "The Giver" between urban high school students and master's degree literacy specialist candidates. The findings…
Descriptors: Social Media, Adolescent Literature, Novels, Urban Youth
Carver, Lin B.; Mukherjee, Keya; Lucio, Robert – Online Learning, 2017
Online education is rapidly becoming a significant method of course delivery in higher education. Consequently, instructors analyze student performance in an attempt to better scaffold student learning. Learning analytics can provide insight into online students' course behaviors. Archival data from 167 graduate level education students enrolled…
Descriptors: Graduate Students, Correlation, Grades (Scholastic), Time on Task
Kovanovic, Vitomir; Gaševic, Dragan; Dawson, Shane; Joksimovic, Srecko; Baker, Ryan S.; Hatala, Marek – Journal of Learning Analytics, 2015
With widespread adoption of Learning Management Systems (LMS) and other learning technology, large amounts of data--commonly known as trace data--are readily accessible to researchers. Trace data has been extensively used to calculate time that students spend on different learning activities--typically referred to as time-on-task. These measures…
Descriptors: Time on Task, Computation, Validity, Data Analysis
Reynolds, Todd – Studying Teacher Education, 2016
During my English Language Arts methods class, I noticed that my discussion patterns were teacher-focused and in an Initiation-Response-Evaluation format. Because I wanted to model dialogic methods of whole-class discussions for my preservice teachers, I recoiled from this finding and began a self-study using an action research method to examine…
Descriptors: Teacher Educators, Language Arts, Methods Courses, Classroom Communication
Brophy, Caroline; Hahn, Lukas – Journal of Statistics Education, 2014
In this paper, we describe an in-class experiment that is easy to implement with large groups of students. The experiment takes approximately 15-20 minutes to run and involves each student completing one of four types of Sudoku puzzles and recording the time it takes to completion. The resulting data set can be used as a teaching tool at an…
Descriptors: Large Group Instruction, Lecture Method, Educational Experiments, Puzzles
Levy, Yair; Ramim, Michelle M. – Interdisciplinary Journal of E-Learning and Learning Objects, 2012
Procrastination appears to be an inevitable part of daily life, especially for activities that are bounded by deadlines. It has implications for performance and is known to be linked to poor personal time management. Although research related to procrastination as a general behavior has been well established, studies assessing procrastination in…
Descriptors: Computer Assisted Testing, Time Management, Student Behavior, Data Collection
Heathcock, Kristin – Journal of Library & Information Services In Distance Learning, 2015
Embedded librarians in online courses provide a wealth of service and information to students. Though students indicate that these services are valuable, the librarians providing embedded services frequently note that these projects are very time consuming. This study examines the provision of a less time-intensive model of embedded librarianship…
Descriptors: Online Courses, Models, Library Services, Library Research
Liu, Xianghu – English Language Teaching, 2014
This study investigates the attitudes towards, and practices of, computer-assisted autonomous learning in learning English of 160 students from three different higher education institutions in China. To do this, a questionnaire was completed by 160 participants, and follow-up in-depth interviews were undertaken with six participants and six of…
Descriptors: Foreign Countries, Student Attitudes, Computer Assisted Instruction, Electronic Learning
Myers, Valerie Ann-Marie – ProQuest LLC, 2013
Academic advising significantly impacts student achievement, persistence, and retention, yet it continues to be an area of weakness for many institutions. The purpose of this sequential mixed-methods case study was to explore the experiences of faculty advisors to identify strengths and weaknesses in their knowledge and skills. Appreciative…
Descriptors: Faculty Advisers, Academic Advising, Inquiry, Mixed Methods Research
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