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Nathan A. Hawk; Kui Xie; Azita Manouchehri – Journal of Urban Mathematics Education, 2025
In online virtual-based learning, combining more adaptive personal student characteristics with risk factors, the purpose of this study was to examine the relationship between student at-risk factors and mathematics achievement. Further, the study examined how personal student characteristics, which are sometimes amenable to change and…
Descriptors: Student Characteristics, Mathematics Achievement, Nontraditional Students, High School Students
Aristeidou, Maria; Cross, Simon – Open Learning, 2021
Despite a growing body of work on understanding how students perceived the impacts of the COVID-19 pandemic, the effects on existing distance learning universities have received less attention. This study aimed to understand changes in distance learning students' study habits (learning, assessment and social activities) and assess the factors…
Descriptors: COVID-19, Pandemics, Distance Education, School Closing
Sense, Florian; van der Velde, Maarten; van Rijn, Hedderik – Journal of Learning Analytics, 2021
Modern educational technology has the potential to support students to use their study time more effectively. Learning analytics can indicate relevant individual differences between learners, which adaptive learning systems can use to tailor the learning experience to individual learners. For fact learning, cognitive models of human memory are…
Descriptors: Predictor Variables, Undergraduate Students, Learning Analytics, Cognitive Psychology
Sheshadri, Adithya; Gitinabard, Niki; Lynch, Collin F.; Barnes, Tiffany; Heckman, Sarah – International Educational Data Mining Society, 2018
Online tools provide unique access to research students' study habits and problem-solving behavior. In MOOCs [Massive Open Online Courses], this online data can be used to inform instructors and to provide automatic guidance to students. However, these techniques may not apply in blended courses with face to face and online components. We report…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Khan, Bibi Rabia – ProQuest LLC, 2018
The purpose of this study was to evaluate whether supplemental instruction and online homework can improve student performance and understanding in a first-semester calculus course at a large urban four-year college. The study examined the metacognitive and study skills and posttest scores of students. The study also focused on students' and…
Descriptors: Homework, Undergraduate Students, College Mathematics, Calculus
Ren, Zhiyun; Rangwala, Huzefa; Johri, Aditya – International Educational Data Mining Society, 2016
The past few years has seen the rapid growth of data mining approaches for the analysis of data obtained from Massive Open Online Courses (MOOCs). The objectives of this study are to develop approaches to predict the scores a student may achieve on a given grade-related assessment based on information, considered as prior performance or prior…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Dvorak, Tomas; Jia, Miaoqing – Journal of Learning Analytics, 2016
This study analyzes the relationship between students' online work habits and academic performance. We utilize data from logs recorded by a course management system (CMS) in two courses at a small liberal arts college in the U.S. Both courses required the completion of a large number of online assignments. We measure three aspects of students'…
Descriptors: Online Courses, Educational Technology, Study Habits, Academic Achievement
Uzun, Ahmet Murat; Ünal, Erhan; Tokel, Saniye Tugba – Online Submission, 2014
Internet addiction is regarded to be as a psychological issue with potential sociological effects. Considering this reality in mind, the purpose of this research is to investigate the existence of internet addiction among pre-service ICT teachers. The study also aimed at examining relationships among academic procrastination, general…
Descriptors: Addictive Behavior, Internet, Preservice Teachers, Study Habits
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Strang, Kenneth D. – Multicultural Education & Technology Journal, 2008
Purpose: The purpose of this paper is to inform international student study strategies as well as course design and instructional approach. Design/methodology/approach: Multiple research methods are applied, starting with exploratory data analysis, principal component analysis, confirmatory ordinal factor analysis, then recursive regression.…
Descriptors: Foreign Students, Cognitive Style, Academic Achievement, Factor Analysis
Holder, Bruce – Internet and Higher Education, 2007
Predictors of persistence previously found useful in distinguishing successful from unsuccessful distance learners were assembled in a 60-item survey. The survey was completed by 259 learners enrolled in associate's, bachelor's, or master's level distance learning courses in accounting, business administration, information services, criminal…
Descriptors: Distance Education, Self Efficacy, Academic Persistence, Student Motivation
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers