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Zien Ding; Ru-De Liu; Yi Ding; Xiantong Yang; Yi Yang – Education and Information Technologies, 2025
Academic cyberloafing, defined as the involvement in non-academic online activities during academic tasks, has emerged as a prevalent concern within higher education. While previous research has identified course-related factors that may influence academic cyberloafing, the specific relation between perceived course difficulty and academic…
Descriptors: Course Selection (Students), Difficulty Level, Computer Use, Time Management
Ahmad Slim; Chaouki Abdallah; Elisha Allen; Michael Hickman; Ameer Slim – International Educational Data Mining Society, 2025
Designing balanced and optimized degree plans is a fundamental challenge in higher education, directly impacting student success, graduation rates, and institutional efficiency. This paper presents an innovative framework that addresses this challenge through a two-stage optimization approach. The first stage focuses on selecting a set of courses…
Descriptors: College Students, Academic Degrees, Planning, Course Selection (Students)
Kara, Dönay Nisa; Özkinaci, Afiyet Gül – Turkish Online Journal of Educational Technology - TOJET, 2023
Many factors are effective in the process of choosing the department that students study. Today, digital technologies are used effectively in the field of education, and the importance of digital technologies in the career choices of students is very high, because many professions for human needs have emerged with digital technologies. Some of…
Descriptors: College Students, Career Development, Course Selection (Students), Career Choice
Esteban, Aurora; Zafra, Amelia; Romero, Cristóbal – International Educational Data Mining Society, 2018
This paper describes a multiple criteria approach based on a hybrid method of Collaborative Filtering (CF) and ContentBased Filtering (CBF) for discovering the most relevant criteria which could affect the elective course recommendation for university students. In order to determine which factors are the most important, it is proposed a genetic…
Descriptors: College Students, Course Selection (Students), Computer Uses in Education, Elective Courses
Bydžovská, Hana – International Educational Data Mining Society, 2016
One of the main problems faced by university students is to create and manage the semester course plan. In this paper, we present a course enrollment recommender system based on data mining techniques. The system mainly helps with students' enrollment decisions. More specifically, it provides recommendation of selective and optional courses with…
Descriptors: Enrollment, College Students, Course Selection (Students), Data Analysis
Lee, Ahlam – Educational Research and Evaluation, 2015
Among the disciplines of science, technology, engineering, and math (STEM), much attention has been paid to the influences of math- and science-related learning contexts on students' STEM major selection. However, the technology and engineering learning contexts that are linked to STEM major selection have been overlooked. In response, a…
Descriptors: STEM Education, Majors (Students), College Students, Hierarchical Linear Modeling
Luo, Yi; Pan, Rui; Choi, Jea H.; Mellish, Linda; Strobel, Johannes – Journal of Educational Computing Research, 2011
Existing research on choice of online learning utilized factors such as perceived level of control, independence, and satisfaction, yet the relationship among these factors is under-researched. Due to the value of "learning anytime," biological factors underlying "choice of time" might provide additional insights. This article…
Descriptors: Electronic Learning, Online Courses, Statistical Significance, Computer Uses in Education
Sakurai, Yoshitaka; Dohi, Shinichi; Tsuruta, Setsuo; Knauf, Rainer – Educational Technology & Society, 2009
In high-level education such as university studies, there is a flexible but complicated system of subject offerings and registration rules such as prerequisite subjects. Those offerings, connected with registration rules, should be matched to the students' learning needs and desires, which change dynamically. Students need assistance in such a…
Descriptors: Feasibility Studies, Academic Education, Foreign Countries, College Students
Tsagala, Evrikleia; Kordaki, Maria – Themes in Science and Technology Education, 2008
This study focuses on how Computer Science and Engineering Students (CSESs) of both genders address certain critical issues for gender differences in the field of Computer Science and Engineering (CSE). This case study is based on research conducted on a sample of 99 Greek CSESs, 43 of which were women. More specifically, these students were asked…
Descriptors: Computer Science Education, Engineering Education, College Students, Gender Differences
Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2013
The 2012 edition of the "Digest of Education Statistics" is the 48th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information
covering the broad field…
Descriptors: Early Childhood Education, Elementary Secondary Education, Higher Education, Adult Education
Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2012
The 2011 edition of the "Digest of Education Statistics" is the 47th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information
covering the broad field…
Descriptors: Elementary Education, Secondary Education, Elementary Secondary Education, Higher Education

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