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J. Bryan Osborne; Andrew S. I. D. Lang – Journal of Postsecondary Student Success, 2023
This paper describes a neural network model that can be used to detect at- risk students failing a particular course using only grade book data from a learning management system. By analyzing data extracted from the learning management system at the end of week 5, the model can predict with an accuracy of 88% whether the student will pass or fail…
Descriptors: Identification, At Risk Students, Learning Management Systems, Prediction
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Wang, Yuancheng; Luo, Nanyu; Zhou, Jianjun – International Educational Data Mining Society, 2022
Doing assignments is a very important part of learning. Students' assignment submission time provides valuable information on study attitudes and habits which strongly correlate with academic performance. However, the number of assignments and their submission deadlines vary among university courses, making it hard to use assignment submission…
Descriptors: College Students, Assignments, Time, Scheduling
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Kokoç, Mehmet; Akçapinar, Gökhan; Hasnine, Mohammad Nehal – Educational Technology & Society, 2021
This study analyzed students' online assignment submission behaviors from the perspectives of temporal learning analytics. This study aimed to model the time-dependent changes in the assignment submission behavior of university students by employing various machine learning methods. Precisely, clustering, Markov Chains, and association rule mining…
Descriptors: Electronic Learning, Assignments, Behavior Patterns, Learning Analytics
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Howard, Tiffiany O.; Winkelmes, Mary-Ann; Shegog, Marya – Journal of Political Science Education, 2020
The existing literature on transparency teaching in higher education reveals that the adoption of transparent-oriented assignments improves the learning outcomes for underserved students at the introductory level, and decreases the rate of attrition among the student population with the highest risk of dropping out. Concurrently, the continued…
Descriptors: Virtual Classrooms, Higher Education, Assignments, Teaching Methods
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Olive, David Monllao; Huynh, Du Q.; Reynolds, Mark; Dougiamas, Martin; Wiese, Damyon – IEEE Transactions on Learning Technologies, 2019
A significant amount of research effort has been put into finding variables that can identify students at risk based on activity records available in learning management systems (LMS). These variables often depend on the context, for example, the course structure, how the activities are assessed or whether the course is entirely online or a…
Descriptors: Prediction, Identification, At Risk Students, Online Courses
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Botelho, Anthony F.; Varatharaj, Ashvini; Patikorn, Thanaporn; Doherty, Diana; Adjei, Seth A.; Beck, Joseph E. – IEEE Transactions on Learning Technologies, 2019
The increased usage of computer-based learning platforms and online tools in classrooms presents new opportunities to not only study the underlying constructs involved in the learning process, but also use this information to identify and aid struggling students. Many learning platforms, particularly those driving or supplementing instruction, are…
Descriptors: Student Attrition, Student Behavior, Early Intervention, Identification
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Tettey, Naa-Solo – Journal of Health Education Teaching, 2018
Understanding the social determinants of health, health equity, and social justice from a social ecological perspective is vital for public health students. This paper provides an example of a creative method for teaching health disparities, using the HBO television series "The Wire." Methods: The pedagogical strength of "The…
Descriptors: Public Health, Health Education, Access to Health Care, Teaching Methods
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de Araujo, Zandra – Curriculum Inquiry, 2017
The tasks teachers select impact students' opportunities to learn mathematics and teachers' beliefs influence their choice of tasks. Through the qualitative analysis of surveys, interviews and classroom artefacts from three secondary mathematics teachers, this study examined teachers' selection of mathematics tasks for English language learners…
Descriptors: Secondary School Teachers, Mathematics Teachers, English Language Learners, Teacher Attitudes
TNTP, 2018
We have been telling students that doing well in school creates opportunities--that showing up, doing the work, and meeting teachers' expectations will prepare them for their futures. Unfortunately, that is a myth. Far too many students graduate from high school still unprepared for the lives they want to lead. They enroll in college and land in…
Descriptors: Educational Opportunities, College Readiness, Career Readiness, Equal Education
TNTP, 2018
How can so many students be graduating from high school unprepared to meet their goals for college and careers? Three years ago, TNTP set out to answer that question. Researchers suspected that they could gain a better understanding of students' daily experiences by observing those experiences in action, looking closely at the work students were…
Descriptors: Educational Opportunities, College Readiness, Career Readiness, Equal Education
TNTP, 2018
How can so many students be graduating from high school unprepared to meet their goals for college and careers? Three years ago, TNTP set out to answer that question. Researchers suspected that they could gain a better understanding of students' daily experiences by observing those experiences in action, looking closely at the work students were…
Descriptors: Educational Opportunities, College Readiness, Career Readiness, Equal Education
Baker, Ryan S.; Lindrum, David; Lindrum, Mary Jane; Perkowski, David – International Educational Data Mining Society, 2015
College students enrolled in online courses lack many of the supports available to students in traditional face-to-face classes on a campus such as meeting the instructor, having a set class time, discussing topics in-person during class, meeting peers and having the option to speak with them outside of class, being able to visit faculty during…
Descriptors: College Students, At Risk Students, Online Courses, Educational Technology
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Taylor, Jonte'; Villanueva, Mary Grace – Science and Children, 2014
Ensuring science for all in the classroom requires that all students are afforded ways to grasp key science and engineering practices; however, we know that the practice of "obtaining, evaluating, and communicating information" can be a challenging task for children with high incidence disabilities (NGSS Lead States 2013, p. 15).…
Descriptors: Science Instruction, At Risk Students, Learning Disabilities, Behavior Disorders
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Pierson, Susan Jacques – Teaching English with Technology, 2015
One way to provide high quality instruction for underserved English Language Learners around the world is to combine Task-Based English Language Learning with Computer- Assisted Instruction. As part of an ongoing project, "Bridges to Swaziland," these approaches have been implemented in a determined effort to improve the ESL program for…
Descriptors: Foreign Countries, English (Second Language), Second Language Instruction, Teaching Methods
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Skerbetz, Mandi Davis; Kostewicz, Douglas E. – Preventing School Failure, 2013
Students with emotional disturbances present with behavioral and academic deficits that often limit their participation in general education settings. As an antecedent intervention, academic choice provides multiple choices surrounding academic work promoting academic and behavioral gains. The authors examined the effects of assignment choice with…
Descriptors: Emotional Disturbances, Behavior Disorders, Program Effectiveness, At Risk Students
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