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Showing 1 to 15 of 21 results Save | Export
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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
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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
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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
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Chanel Schwenck; Jessica Pryor; Sean Simons – Educational Research Quarterly, 2024
This quantitative research study explored college students' perceptions and evaluations of the website, RateMyProfessors.com, and its impact on their course selection process. Whereas most universities do not publish course evaluations, Rate My Professors (RMP) provides a virtual space for students to read and offer each other insight on professor…
Descriptors: Student Evaluation of Teacher Performance, College Faculty, Web Sites, Computer Use
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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
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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
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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
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
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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
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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
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Downes, Toni; Looker, Dianne – Computer Science Education, 2011
This article explores factors that contribute to low participation rates in computing and information technology (CIT) courses in senior secondary school, particularly for females. Partly drawing on the Values-Expectancy Theory the following variables are explored separately and within a single model: gender, ability and values beliefs, access and…
Descriptors: Foreign Countries, Computer Science Education, Student Attitudes, Females
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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
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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
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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
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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
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