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Noor Maizura Mohamad Noor; Nur Azhani Rosly; Noraaini Ali; Faaizah Shahbodin; Rohayu Abdul Ghani – International Society for Technology, Education, and Science, 2023
Higher education institutions should rely on the success of educators to deliver quality education in an increasingly economic context. The definition of the competencies necessary for an effective educator rest on top higher education management. Institutions of higher learning may also enhance cognitive abilities. The development of cognitive…
Descriptors: Decision Making, Teacher Evaluation, Teacher Competencies, Self Evaluation (Individuals)
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)
Meng Qu – Education and Information Technologies, 2024
This paper introduces a Patron Counting and Analysis (PCA) system that leverages Wi-Fi-connection data to monitor space utilization and analyze visitor patterns in academic libraries. The PCA system offers real-time crowding information to the public and a comprehensive visitor analysis dashboard for library administrators. The system's…
Descriptors: Academic Libraries, Users (Information), Use Studies, Space Utilization
Yung-Hsiang Hu – Educational Technology & Society, 2024
Ethical decision-making is challenging for most students. Values clarification exercises (VCEs) can help reduce decisional conflicts and feelings of regret. Scholars have suggested Ethical decision-making is challenging for most students. Values clarification exercises (VCEs) can help reduce decisional conflicts and feelings of regret. Scholars…
Descriptors: Foreign Countries, Undergraduate Students, Artificial Intelligence, Business Administration Education
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
Modaresnezhad, Minoo; Schell, George – Information Systems Education Journal, 2019
The introductory course in information systems plays an important role in a business school's curriculum. The soul of that course should be information and systems. The introductory course is where all business students, information systems majors and non-majors alike, learn why information and the technologies associated with it are driving…
Descriptors: Information Systems, Introductory Courses, Decision Support Systems, Business Schools
Burgher, Joshua; Hamers, Herbert – International Journal of Educational Management, 2020
Purpose: The purpose of this paper is to provide a decision support model for optimizing the composition of portfolios of market-driven academic programs, primarily in schools offering market-driven academic programs. This model seeks to maximize financial performance during a desired planning time period while also achieving targets for other…
Descriptors: Portfolios (Background Materials), College Programs, Decision Support Systems, Private Colleges
Dina Fitria Murad; Meta Amalya Dewi; Arbaiah Inn; Silvia Ayunda Murad; Noor Udin; Taufik Darwis – Journal of Educators Online, 2025
This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…
Descriptors: Electronic Learning, Data Collection, Context Effect, Learning Processes
Jabbour, Randa; McClelland, Shelby C.; Schipanski, Meagan E. – Natural Sciences Education, 2021
Global food systems contribute to greenhouse gas emissions, and the mitigation of these emissions is a critical component of addressing the challenge of climate change. A variety of decision-support tools are available for agricultural producers to use to estimate how their management decisions affect emissions. These tools, often free and online,…
Descriptors: Agricultural Production, Food, Ecology, Climate
Wagner, Kerstin; Merceron, Agathe; Sauer, Petra; Pinkwart, Niels – International Educational Data Mining Society, 2023
In this paper, we present an extended evaluation of a course recommender system designed to support students who struggle in the first semesters of their studies and are at risk of dropping out. The system, which was developed in earlier work using a student-centered design and which is based on the explainable k-nearest neighbor algorithm,…
Descriptors: College Freshmen, At Risk Students, Dropouts, Dropout Programs
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