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Songer, Robert Wesley; Yamamoto, Tomohito – Educational Research and Reviews, 2023
Recommender systems in education aim to help students make good decisions about the direction of their learning. The design of such systems in conventional research has treated the decision making process of students as a black box and assumes the best recommendations to be those that accurately predict student choices. Such an approach overlooks…
Descriptors: Artificial Intelligence, Decision Making, Decision Support Systems, Engineering Education
Samaranayake, Sobitha; Gunawardena, Athula D. A.; Meyer, Robert R. – Athens Journal of Education, 2023
Many students in the Unites States enter college without having decided on a focus for their studies, and thus are faced with choosing from a large number of potential majors and associated very complex sets of degree requirements which can include many courses in other areas of study. Academic advisors use academic planning tools to help students…
Descriptors: College Students, Degree Requirements, Academic Degrees, Decision Support Systems
Zachary Bleemer – Center for Studies in Higher Education, 2024
Average-wage-by-major statistics have become widely available to students interested in the economic ramifications of their college major choice. However, earning a major with higher average wages does not necessarily lead individual students to higher-paying careers. This essay combines literature review with novel analysis of longitudinal…
Descriptors: College Students, Majors (Students), Course Selection (Students), Career Choice
Lin, Chin-Tsai; Chang, Shih-Jui; Chen, Yung-Hui – Journal of Educational Computing Research, 2022
With the progress and innovation of digital technology, people's knowledge acquisition, information exchange, and communication modes have changed significantly. The universality of emerging technology media enables instructional designers to use digital media to provide different teaching materials and teaching methods to meet the needs of…
Descriptors: Introductory Courses, Computer Science Education, Computer Uses in Education, Educational Technology
Gibson, Matthew J.; Luong, Justin; Cho, Hanbit; Moh, Bryan; Zanin, Simone; Djatmiko, Mentari; Aandahl, R. Zach – Australasian Journal of Educational Technology, 2022
Student evaluation surveys provide educational institutions with important feedback regarding the student experience of teaching and courses; however, qualitative comments can contain offensive, insulting or threatening content. Large educational institutions generate thousands of comments per academic term; therefore, manual screening processes…
Descriptors: Foreign Countries, Student Evaluation of Teacher Performance, College Students, Feedback (Response)
Jian-Wei Tzeng; Nen-Fu Huang; Yi-Hsien Chen; Ting-Wei Huang; Yu-Sheng Su – Educational Technology & Society, 2024
Massive open online courses (MOOCs; online courses delivered over the Internet) enable distance learning without time and place constraints. MOOCs are popular; however, active participation level among students who take MOOCs is generally lower than that among students who take in-person courses. Students who take MOOCs often lack guidance, and…
Descriptors: MOOCs, Artificial Intelligence, Electronic Learning, Student Participation
Mohamed, Abdallah – Quality Assurance in Education: An International Perspective, 2016
Purpose: This paper aims to support academic advising, which plays a crucial role in student success and retention. The paper focuses on one of the most challenging tasks involved in academic advising: individual course scheduling. This task includes not only careful planning for different courses over several semesters according to students'…
Descriptors: Academic Advising, Decision Support Systems, Scheduling, College Students
Aksu, Gökhan; Dogan, Nuri – Pegem Journal of Education and Instruction, 2019
The purpose of this study is to compare decision trees obtained by data mining algorithms used in various areas in recent years according to different criteria. In the study, similar and different aspects of the decision trees obtained by different methods for classifying the students as successful and unsuccessful in terms of science literacy…
Descriptors: Data Analysis, Decision Support Systems, Visual Aids, College Students
Swing, Randy L.; Ross, Leah Ewing – Change: The Magazine of Higher Learning, 2016
A new vision for institutional research is urgently needed if colleges and universities are to achieve their institutional missions, goals, and purposes. The authors advocate for a move away from the traditional service model of institutional research to an institutional research function via a federated network model or matrix network model. When…
Descriptors: Institutional Research, Models, Postsecondary Education, Decision Making
Chiu, Po-Sheng; Huang, Yueh-Min – Innovations in Education and Teaching International, 2016
While mobile learning (m-learning) has considerable potential, most of previous strategies for developing this new approach to education were analysed using the knowledge, experience and judgement of individuals, with the support of statistical software. Although these methods provide systematic steps for the implementation of m-learning…
Descriptors: Electronic Learning, Case Studies, Foreign Countries, Teaching Methods
Kadijevich, Djordje M. – Journal of Educational Computing Research, 2012
By using a sample of 1st-year undergraduate business students, this study dealt with the development of simple (deterministic and non-optimization) spreadsheet models of income statements within an introductory course on business informatics. The study examined students' errors in doing this for business situations of their choice and found three…
Descriptors: Foreign Countries, Spreadsheets, Decision Support Systems, Teaching Methods
Meyer, David – Computers & Education, 2009
A frequent task in educational settings is to assign students to groups based on stated preferences for some projects or topics. This paper introduces a web-based tool supporting both the work flow of collecting student data and the group formation. The latter is based on finding optimal solutions to suitable mathematical assignment problems,…
Descriptors: Problem Solving, Internet, Classroom Techniques, Educational Technology
Hunt, C. Steven; Smith, Lola B.; Chen, Minder – Journal of Computing in Higher Education, 2010
Web-based collaboration tools and groupware are uniquely qualified to address the emerging business opportunities heretofore hindered by location barriers, constraints of time, and expensive travel costs. Global business enterprises are implementing online collaboration software to augment their face-to-face meetings and group decision making in…
Descriptors: Cooperation, Internet, Group Activities, Teamwork
Baba, A. Fevzi; Kuscu, Dincer; Han, Kerem – Turkish Online Journal of Educational Technology - TOJET, 2009
The complex nature and uncertain information in social problems required the emergence of fuzzy decision support systems in social areas. In this paper, we developed user-friendly Fuzzy Group Decision Support Systems (FGDSS) software. The software can be used for multi-purpose decision making processes. It helps the users determine the main and…
Descriptors: Foreign Countries, College Students, Social Problems, Research Assistants
Ting, Choo-Yee; Phon-Amnuaisuk, Somnuk; Chong, Yen-Kuan – Educational Technology & Society, 2008
This article aims at discussing how Dynamic Decision Network (DDN) can be employed to tackle the challenges in modeling temporally variable scientific inquiry skills and provision of adaptive pedagogical interventions in INQPRO, a scientific inquiry exploratory learning environment for learning O'level Physics. We begin with an overview of INQPRO…
Descriptors: Discovery Learning, Educational Environment, Science Instruction, Inquiry
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