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Karen L. Webber; Henry Y. Zheng – New Directions for Higher Education, 2024
Recently, the rise of generative AI tools such as "ChatGPT" have prompted deep and wide considerations about teaching and learning, student success, research and development, and the use of data for informed institutional decision making. In this volume, authors discuss specific concepts, considerations for use, and some specific tools…
Descriptors: Artificial Intelligence, Data Analysis, Higher Education
Kelli Bird – Association for Institutional Research, 2023
Colleges are increasingly turning to predictive analytics to identify "at-risk" students in order to target additional supports. While recent research demonstrates that the types of prediction models in use are reasonably accurate at identifying students who will eventually succeed or not, there are several other considerations for the…
Descriptors: Prediction, Data Analysis, Artificial Intelligence, Identification
M. Nazir; A. Noraziah; M. Rahmah – International Journal of Virtual and Personal Learning Environments, 2023
An effective educational program warrants the inclusion of an innovative construction that enhances the higher education efficacy in such a way that accelerates the achievement of desired results and reduces the risk of failures. Educational decision support system has currently been a hot topic in educational systems, facilitating the pupil…
Descriptors: Data Analysis, Academic Achievement, Artificial Intelligence, Prediction
Rohemi Zuluaga; Alicia Camelo-Guarín; Enrique De La Hoz – Journal on Efficiency and Responsibility in Education and Science, 2023
This research aims to design a helpful methodology for estimating universities' relative impact on students as a sustainability factor in higher education. To this end, the research methodology implemented a two-stage approach. The first stage involves the relative efficiency analysis of the study units using Fuzzy Data Envelopment Analysis. The…
Descriptors: Foreign Countries, Higher Education, Educational Practices, Efficiency
Allie Michael; Abdullah O. Akinde – Assessment Update, 2024
Open-ended responses to surveys can be highly beneficial to higher education institutions, providing clarity and context that quantitative data can sometimes lack. However, analyzing open-ended responses typically takes time and manpower most institutional assessment offices do not have to spare. This study focused on finding a potential solution…
Descriptors: Artificial Intelligence, Natural Language Processing, Student Surveys, Feedback (Response)
Chen Zhong; J. B. Kim – Journal of Information Systems Education, 2024
Data Analytics has emerged as an essential skill for business students, and several tools are available to support their learning in this area. Due to the students' lack of programming skills and the perceived complexity of R, many business analytics courses employ no-code analytical software like IBM SPSS Modeler. Nonetheless, generative…
Descriptors: Business Education, Regression (Statistics), Programming, Artificial Intelligence
Fernández, Antonio; Gómez, Beatriz; Binjaku, Kleona; Meçe, Elinda Kajo – Education and Information Technologies, 2023
Higher Education Institutions (HEIs) are involved in an evolution to a new model of university called "digital university." This model implies not only adopting new technologies but also developing an organizational strategic transformation which includes information, processes, human aspects, and more. Because an organization's digital…
Descriptors: Higher Education, Educational Change, Technology Integration, Educational Technology
Talan, Tarik; Kalinkara, Yusuf – International Society for Technology, Education, and Science, 2022
With the rapid development of science and technology in recent years, the application areas of fuzzy logic have also gained speed. Fuzzy logic is a frequently preferred approach in the educational process, and it can be said that scientific publications on this topic have recently gained momentum in the literature. In this context, the present…
Descriptors: Databases, Research Reports, Foreign Countries, Universities
Cox, A. M. – International Journal of Educational Technology in Higher Education, 2021
Artificial Intelligence (AI) and robotics are likely to have a significant long-term impact on higher education (HE). The scope of this impact is hard to grasp partly because the literature is siloed, as well as the changing meaning of the concepts themselves. But developments are surrounded by controversies in terms of what is technically…
Descriptors: Artificial Intelligence, Robotics, Higher Education, Futures (of Society)
Hsiao, I-Han, Ed.; Sahebi, Shaghayegh, Ed.; Bouchet, Francois, Ed.; Vie, Jill-Jenn, Ed. – International Educational Data Mining Society, 2021
For this 14th iteration of the International Conference on Educational Data Mining (EDM 2021), the conference was held completely online. EDM is organized under the auspices of the International Educational Data Mining Society and was meant to happen in Paris, France. The official theme of this year's conference was Shifting Landscape of…
Descriptors: Blended Learning, Distance Education, Learning Analytics, Educational Technology
Luttrell, Regina; Wallace, Adrienne; McCollough, Christopher; Lee, Jiyoung – Journalism and Mass Communication Educator, 2020
Artificial intelligence (AI) has gained both momentum and importance within society over the past several years. This article provides an opening for further discussion to the broader social and digital media research community and those interested in answering important questions related to these areas by leveraging a focused, productive…
Descriptors: Artificial Intelligence, Journalism Education, Social Media, Technology Uses in Education
He, Lingjun; Levine, Richard A.; Fan, Juanjuan; Beemer, Joshua; Stronach, Jeanne – Practical Assessment, Research & Evaluation, 2018
In institutional research, modern data mining approaches are seldom considered to address predictive analytics problems. The goal of this paper is to highlight the advantages of tree-based machine learning algorithms over classic (logistic) regression methods for data-informed decision making in higher education problems, and stress the success of…
Descriptors: Institutional Research, Regression (Statistics), Statistical Analysis, Data Analysis
Liu, Xiaoming; Schwieger, Dana – Information Systems Education Journal, 2023
Rapid advancements and emergent technologies add an additional layer of complexity to preparing computer science and information technology higher education students for entering the post pandemic job market. Knowing and predicting employers' technical skill needs is essential for shaping curriculum development to address the emergent skill gap.…
Descriptors: Network Analysis, Employment Opportunities, Information Technology, Computer Science Education
Grewal, Dhruv; Motyka, Scott; Levy, Michael – Journal of Marketing Education, 2018
The pace of retail evolution has increased dramatically, with the spread of the Internet and as consumers have become more empowered by mobile phones and smart devices. This article outlines significant retail innovations that reveal how retailers and retailing have evolved in the past several decades. In the same spirit, the authors discuss how…
Descriptors: Retailing, Marketing, Futures (of Society), Teaching Methods
Bendjebar, Safia; Lafifi, Yacine; Seridi, Hamid – International Journal of Web-Based Learning and Teaching Technologies, 2016
In e-learning systems, the tutors play many roles and carry out several tasks that differ from one system to another. The activity of tutoring is influenced by many factors. One factor among them is the assignment of the appropriate profile to the tutor. For this reason, the authors propose a new approach for modeling and evaluating the function…
Descriptors: Electronic Learning, Teaching Methods, Classification, Student Needs
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