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Md Akib Zabed Khan; Agoritsa Polyzou – Journal of Educational Data Mining, 2024
In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…
Descriptors: Academic Advising, Courses, Data Use, Artificial Intelligence
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Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
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Broumi, Said, Ed. – IGI Global, 2023
Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets are a few of these extensions. Researchers and academics have acquired a lot of information about their theories and methods…
Descriptors: Theories, Mathematical Logic, Intuition, Decision Making
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Khan, Md Akib Zabed; Polyzou, Agoritsa – International Educational Data Mining Society, 2023
Academic advising plays an important role in students' decision-making in higher education. Data-driven methods provide useful recommendations to students to help them with degree completion. Several course recommendation models have been proposed in the literature to recommend courses for the next semester. One aspect of the data that has yet to…
Descriptors: Course Selection (Students), Learning Analytics, Academic Advising, Decision Making
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Gruver, Nate; Malik, Ali; Capoor, Brahm; Piech, Chris; Stevens, Mitchell L.; Paepcke, Andreas – International Educational Data Mining Society, 2019
Understanding large-scale patterns in student course enrollment is a problem of great interest to university administrators and educational researchers. Yet important decisions are often made without a good quantitative framework of the process underlying student choices. We propose a probabilistic approach to modelling course enrollment…
Descriptors: Models, Course Selection (Students), Enrollment, Decision Making
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Villatoro Moral, Sofía; De-Benito Crosseti, Barbara – Journal of Interactive Media in Education, 2022
The way we learn is changing, and this requires seeking learner-centred pedagogical strategies. Based on this idea, this paper is about the process of construction and validation of a pedagogical model approach based on the perspectives of co-design, learning pathways and self-regulated learning. Through a process of Design Based Research,…
Descriptors: Metacognition, Instructional Design, Student Centered Learning, Teaching Methods
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Bardesi, Hisham Jameel; Garba, Ibrahim – Arab World English Journal, 2022
King Abdulaziz University (KAU) took extra measures in response to COVID-19 in March 2020. The current research evaluated an Emergency Training Session (ETS) Knowledge Model during the pandemic with the aim of identifying for the Deanship of e-Learning and Distance Education (DeLDE) to evaluate how the e-learning services support learning and…
Descriptors: COVID-19, Pandemics, Immunization Programs, Electronic Learning
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Sabitha, Sai; Mehrotra, Deepti; Bansal, Abhay – Electronic Journal of e-Learning, 2015
The most important dimension of learning is the content, and a Learning Management System (LMS) suffices this to a certain extent. The present day LMS are designed to primarily address issues like ease of use, search, content and performance. Many surveys had been conducted to identify the essential features required for the improvement of LMS,…
Descriptors: Convergent Thinking, Management Systems, Integrated Learning Systems, Knowledge Management
Lynch, John Kenneth – ProQuest LLC, 2013
Using an exploratory model of the 9/11 terrorists, this research investigates the linkages between Event Driven Business Process Management (edBPM) and decision making. Although the literature on the role of technology in efficient and effective decision making is extensive, research has yet to quantify the benefit of using edBPM to aid the…
Descriptors: Management Systems, Decision Making, Travel, Information Technology
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Yurtseven, M. Kudret; Buchanan, Walter W. – American Journal of Engineering Education, 2016
Decision making in most universities is taught within the conventional OR/MS (Operations Research/Management Science) paradigm. This paradigm is known to be "hard" since it is consisted of mathematical tools, and normally suitable for solving structured problems. In complex situations the conventional OR/MS paradigm proves to be…
Descriptors: Decision Making, Models, Industrial Education, Engineering Education
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Jones, Dennis P.; Johnstone, Sally M. – Change: The Magazine of Higher Learning, 2016
With very few exceptions colleges and universities of all types--2-year and 4-year, public and private-- are feeling the fiscal pinch. They are caught in the vise of rising expectations and constrained revenues. Public institutions are operating in an environment in which state-level policy-makers press for increasing numbers of graduates,…
Descriptors: Expectation, State Policy, College Graduates, Student Financial Aid
Momani, Alaa – Online Submission, 2010
E-learning systems have become an issue in recent years. A learning management system (LMS) is an electronic environment helps the educational society to communicate, exchange information, manage, and schedule the learning process. This study has provided a web-based evaluation system that may help the users to choose the convenient system…
Descriptors: Electronic Learning, Management Systems, Databases, Internet
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Popovich, Karen – Information Systems Education Journal, 2012
This paper describes the process taken to develop a quantitative-based and Excel™-driven course that combines "BOTH" Management Information Systems (MIS) and Decision Science (DS) modeling outcomes and lays the foundation for upper level quantitative courses such as operations management, finance and strategic management. In addition,…
Descriptors: Management Systems, Decision Making, Spreadsheets, Models
Kokensparger, Brian Jay – ProQuest LLC, 2013
This study explored relationships between writing sample features and LMS usage patterns for 366 college students who enrolled in Theology courses, junior-level courses cross-listed with theology courses, or Senior Perspective Program courses in the fall semester of 2012. These hybrid courses were managed inside the Canvas(TM) learning management…
Descriptors: College Students, Theological Education, Blended Learning, Writing (Composition)
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Wang, Aubrey H.; Walters, Alyssa M.; Thum, Y. M. – International Journal of Educational Management, 2013
Purpose: The purpose of this paper is to provide an empirical comparison of two measures of school success -- a value-added assessment system and the federally-mandated system of adequate yearly progress (AYP) -- to identify highly effective urban schools in the USA and to explore the predictive relationship between evidence-based decision-making…
Descriptors: Comparative Analysis, Evaluation Methods, Educational Indicators, Federal Programs
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