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Tian, Xuetao; Liu, Feng – IEEE Transactions on Learning Technologies, 2021
Massive open online courses (MOOCs) have been an important learning tool in education. In order to reduce the high dropout rate and improve learners' satisfactions, it is urgent for MOOCs platform to provide course recommendation and tutoring service. To achieve it, it is necessary to determine and trace learners' learning state. Cognitive…
Descriptors: Online Courses, Item Response Theory, Course Selection (Students), Artificial Intelligence
Sood, Sakshi; Saini, Munish – Education and Information Technologies, 2021
For a productive life, education plays a critical role to fill individual life with value and excellence. Education is compulsory to provide things that individuals partake in to compete in the modern world. Predicting the academic performance of the student is the most successive research in this era. A different set of approaches and methods are…
Descriptors: Multivariate Analysis, Artificial Intelligence, Academic Achievement, Prediction
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
Bushweller, Kevin C., Ed. – Education Week, 2017
This report, the 20th edition of "Technology Counts," examines how schools are tackling tech training for teachers, "passive" vs. "active" use of digital tools, and online learning needs. Contents include: (1) Tracking 20 Years of Change in Ed Tech (Kevin C. Bushweller); (2) Poor Students Face Digital Divide in How…
Descriptors: Educational Technology, Technology Uses in Education, Teacher Education, Technological Literacy
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
Wabwoba, Franklin; Mwakondo, Fullgence M. – Journal of Information Technology Education, 2011
Every year, the Joint Admission Board (JAB) is tasked to determine those students who are expected to join various Kenyan public universities under the government sponsorship scheme. This exercise is usually extensive because of the large number of qualified students compared to the very limited number of slots at various institutions and the…
Descriptors: Foreign Countries, Developing Nations, Courses, Student Placement
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
de Brey, Cristobal; Snyder, Thomas D.; Zhang, Anlan; Dillow, Sally A. – National Center for Education Statistics, 2021
The 2019 edition of the "Digest of Education Statistics" is the 55th in a series of publications initiated in 1962. The purpose of the "Digest" is to provide a compilation of statistical information covering the broad field of American education from prekindergarten through graduate school. It contains data on a variety of…
Descriptors: Elementary Secondary Education, Postsecondary Education, Federal Aid, Educational Finance
Chambers, Kent A.; Blake, Bob. – Journal of Chemical Education, 2008
This study focuses on the effect of using a computer-based competitive learning system called LearnStar, as supplementary instruction in introductory chemistry courses. The outcomes evaluated were of student performance on classroom exams, the cumulative final, overall course grade, overall DFW rate (the percentage of student receiving a D, F, or…
Descriptors: Comparative Analysis, Chemistry, Statistical Analysis, Teaching Methods
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
Janssen, Jose; Tattersall, Colin; Waterink, Wim; van den Berg, Bert; van Es, Rene; Bolman, Catherine; Koper, Rob – Computers & Education, 2007
Increased flexibility and modularisation in higher education complicates the process of learners finding their way through the offerings of higher education institutions. In lifelong learning, where learning opportunities are diverse and reach beyond institutional boundaries, it becomes even more complex to decide on a learning path. However,…
Descriptors: Higher Education, Interpersonal Relationship, Interaction, Lifelong Learning
Snyder, Thomas D.; de Brey, Cristobal; Dillow, Sally A. – National Center for Education Statistics, 2019
The 2017 edition of the "Digest of Education Statistics" is the 53rd 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 Secondary Education, Postsecondary Education, Federal Aid, Educational Finance
Snyder, Thomas D.; de Brey, Cristobal; Dillow, Sally A. – National Center for Education Statistics, 2019
The 54th in a series of publications initiated in 1962, the purpose of the "Digest" is to provide a compilation of statistical information covering the broad field of education from prekindergarten through graduate school. It contains data on a variety of topics, including the number of schools and colleges, teachers, enrollments, and…
Descriptors: Elementary Secondary Education, Postsecondary Education, Federal Aid, Educational Finance
Snyder, Thomas D.; de Brey, Cristobal; Dillow, Sally A. – National Center for Education Statistics, 2018
The 2016 edition of the "Digest of Education Statistics" is the 52nd 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 Secondary Education, Postsecondary Education, Federal Aid, Educational Finance
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