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Capability Assessment of Cultivating Innovative Talents for Higher Schools Based on Machine Learning
Rongjie Huang; Yusheng Sun; Zhifeng Zhang; Bo Wang; Junxia Ma; Yangyang Chu – International Journal of Information and Communication Technology Education, 2024
The innovation capability largely determines the initiative for future development of a region. Higher school is the main position for training innovative talents. Accurate and comprehensive assessment of innovation cultivation capability is an important basis of higher schools for continuous improvement. Thus, this paper focuses on assessing…
Descriptors: Models, Innovation, Higher Education, Evaluation
Michael Wade Ashby – ProQuest LLC, 2024
Whether machine learning algorithms effectively predict college students' course outcomes using learning management system data is unknown. Identifying students who will have a poor outcome can help institutions plan future budgets and allocate resources to create interventions for underachieving students. Therefore, knowing the effectiveness of…
Descriptors: Artificial Intelligence, Algorithms, Prediction, Learning Management Systems
Selma Tosun; Dilara Bakan Kalaycioglu – Journal of Educational Technology and Online Learning, 2024
Predicting and improving the academic achievement of university students is a multifactorial problem. Considering the low success rates and high dropout rates, particularly in open education programs characterized by mass enrollment, academic success is an important research area with its causes and consequences. This study aimed to solve a…
Descriptors: Academic Achievement, Open Education, Distance Education, Foreign Countries
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
Tanjea Ane; Tabatshum Nepa – Research on Education and Media, 2024
Precision education derives teaching and learning opportunities by customizing predictive rules in educational methods. Innovative educational research faces new challenges and affords state-of-the-art methods to trace knowledge between the teaching and learning ecosystem. Individual intelligence can only be captured through knowledge level…
Descriptors: Artificial Intelligence, Prediction, Models, Teaching Methods
Min Zhang – International Journal of Information and Communication Technology Education, 2024
The purpose of this article is to investigate how 5G and wireless communication technologies (5G+WCT) might be applied to English language classroom programs in higher education. The paper describes the complimentary roles of 5G and wireless communication technologies in English language teaching, includes student data collecting and…
Descriptors: Internet, Technology Uses in Education, English (Second Language), Second Language Instruction
Kukkar, Ashima; Mohana, Rajni; Sharma, Aman; Nayyar, Anand – Education and Information Technologies, 2023
Predicting student performance is crucial in higher education, as it facilitates course selection and the development of appropriate future study plans. The process of supporting the instructors and supervisors in monitoring students in order to upkeep them and combine training programs to get the best outcomes. It decreases the official warning…
Descriptors: Academic Achievement, Mental Health, Well Being, Interaction
Kamdjou, Herve D. Teguim – Open Education Studies, 2023
This article revisits the Mincer earnings function and presents comparable estimates of the average monetary returns associated with an additional year of education across different regions worldwide. In contrast to the traditional Ordinary Least Squares (OLS) method commonly employed in the literature, this study applied a cutting-edge approach…
Descriptors: Outcomes of Education, Artificial Intelligence, Human Capital, Regression (Statistics)

White, George M.; Haddad, Michel – Computers and Education, 1983
Describes an algorithm used at the University of Ottawa to create examination schedules that are not only conflict free and minimize number of consecutive examinations for individual students, but provide for the scheduling of certain proper subsets of examinations into proper time slots and minimal overall number of consecutive examinations. (MBR)
Descriptors: Algorithms, Day Students, Evening Students, Higher Education

Murphy, Michael J.; And Others – Simulation and Games, 1982
Describes NEGOTIATE, an interactive computer model that synthesizes bargaining theories into algorithmic functions capable of simulating complex labor relations. The models employed in the simulation, the instructional dimension of NEGOTIATE, and various applications of the game are discussed. A seven-item reference list is included. (Author/JL)
Descriptors: Algorithms, Collective Bargaining, Computer Oriented Programs, Decision Making

Gruska, Jozef – Education and Computing, 1993
Describes shortcomings of computer science/engineering education and explains a new focus on informatics. Highlights include simulation, visualization, algorithmization, design of information processing models, parallel computing, a history of informatics, informatics versus physics and mathematics, and implications for education. (51 references)…
Descriptors: Algorithms, Computer Science Education, Computer Simulation, Higher Education

Ferguson, David L.; Henderson, Peter B. – Machine-Mediated Learning, 1987
Designed initially for use in college computer science courses, the model and computer-aided instructional environment (CAIE) described helps students develop algorithmic problem solving skills. Cognitive skills required are discussed, and implications for developing computer-based design environments in other disciplines are suggested by…
Descriptors: Algorithms, Classroom Environment, Cognitive Ability, Computer Assisted Instruction

Gelovan, Viktor – Impact of Science on Society, 1981
Proposes a problem-oriented, man-machine modelling process which combines algorithms and software to assist decision makers and planners in dealing with complex socio-economic issues. Includes the specific parts in each of the system's three basic elements: a library, special units, and system control units. (Author/DC)
Descriptors: Algorithms, Computer Oriented Programs, Economics, Environmental Education

Burston, Jack; Monville-Burston, Monique – CALICO Journal, 1995
Describes the academic context in which the "French CAT" was created and trialed and gives a detailed consideration of the test presentation platform and operating algorithms. Finally, the article evaluates the first administration of the test and discusses its reliability and validity as a placement instrument for first-year Australian…
Descriptors: Achievement Tests, Algorithms, College Students, Computer Assisted Testing

Johnston, Mark; Weckert, John – Information Technology and Libraries, 1990
Describes the development of an expert system to help in the selection of materials for academic libraries. A model of selection criteria is explained, computerization of the model is discussed, user-defined criteria are considered, and machine learning of rules through the use of algorithms is described. (18 references) (LRW)
Descriptors: Academic Libraries, Algorithms, Evaluation Criteria, Expert Systems
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