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Elhajjar, Samer; Borna, Shaheen – Marketing Education Review, 2023
This research explores the perspectives of marketing students and educators about the Big Data courses in marketing education programs. It also examines drivers that predict interest on the part of marketing students in taking Big Data courses. Data was collected through interviews with 20 marketing educators, and a survey was completed by 480…
Descriptors: Marketing, Teaching Methods, Competition, Statistics Education
Ana Stojanov; Ben Kei Daniel – Education and Information Technologies, 2024
The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and…
Descriptors: Higher Education, Learning Analytics, Well Being, Decision Making
Chinsook, Kittipong; Khajonmote, Withamon; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jantakoon, Thada – Higher Education Studies, 2022
Big data is an important part of innovation that has recently attracted a lot of interest from academics and practitioners alike. Given the importance of the education industry, there is a growing trend to investigate the role of big data in this field. Much research has been undertaken to date in order to better understand the use of big data in…
Descriptors: Student Behavior, Learning Analytics, Computer Software, Rating Scales
Technical Training to Nonprofit Managers Influences Using Big Data Technology in Business Operations
Arslan Isaac – ProQuest LLC, 2023
This nonexperimental, survey-based online quantitative study on nonprofit managers' technical training measures the extent of the influence on big data technology use. The unified theory of acceptance and use of technology is a theoretical framework to determine whether business managers are trained to have know-how in using big data technology.…
Descriptors: Nonprofit Organizations, Administrators, Data Use, Information Technology
Gafny, Ronit; Ben-Zvi, Dani – Teaching Statistics: An International Journal for Teachers, 2023
In recent years, big data has become ubiquitous in our day-to-day lives. Therefore, it is imperative for educators to integrate nontraditional (big) data into statistics education to ensure that students are prepared for a big data reality. This study examined graduate students' expressions of uncertainty while engaging with traditional and…
Descriptors: Student Attitudes, Data Science, Data Analysis, Models
Hamad, Faten; Fakhuri, Hussam; Abdel Jabbar, Sinaria – New Review of Academic Librarianship, 2022
Libraries hold large amounts of data, which can contribute to improvements in the quality of library services. Data resources of modern library have the characteristics of big-data, where library can use big-data methods to achieve reform and innovation, including resource transferring, resource utilisation, social identity, thinking innovation.…
Descriptors: Foreign Countries, Learning Analytics, Academic Libraries, Data Use
Desiree Walton – ProQuest LLC, 2023
Decision-making, a key factor of organizational performance, is based on information retrieved from processing raw data. As businesses and consumers are shifting toward digital channels, more and more data is being generated through digital services and electronic devices. Big Data is argued to have significant benefits to businesses, and yet data…
Descriptors: Data Analysis, Data Collection, Construction Industry, Construction Management
Hassna, Ghazwan – Perspectives: Policy and Practice in Higher Education, 2023
Given their potential, "Big Data and Analytics" can help institutions of higher education to thoroughly examine newly emerging challenges, explore and identify new ways to address them, and predict future outcomes for growth. Considering how new "Big Data and Analytics" are, existing knowledge about the potential value to…
Descriptors: Higher Education, Models, Marketing, Academic Advising
Lili Qin; Weixuan Zhong; Hugh C. Davis – International Journal of Web-Based Learning and Teaching Technologies, 2023
In response to the problem of inaccurate classification of big data information in traditional English teaching ability evaluation algorithms, this paper proposes an English teaching ability estimation algorithm based on big data fuzzy K-means clustering. Firstly, the article establishes a constraint parameter index analysis model. Secondly,…
Descriptors: Data Analysis, Data Collection, Algorithms, Teacher Evaluation
Novak, Walter R. P. – Biochemistry and Molecular Biology Education, 2022
Biochemistry is a data-heavy discipline, yet teaching students to work with large datasets is absent from many undergraduate Biochemistry programs. Ensuring that future generations of students are confident in tackling problems using big data first requires that educators become comfortable teaching big data skills. The activity described herein…
Descriptors: Biochemistry, Data, Workshops, Undergraduate Students
Quan Yuan; Lin Lv; Yolanda Cordero – International Journal of Web-Based Learning and Teaching Technologies, 2023
Relying on the nation's first judicial big data research base for people's courts in Southeast University, Southeast University Law School has set up a training direction for graduate students in legal big data and artificial intelligence, and explored the "three-dimensional, small-scale, wide-ranging, and large-scale ecology." The…
Descriptors: Law Schools, Legal Education (Professions), Graduate Students, Data
Nan Pang; Charles Crook – International Journal of Web-Based Learning and Teaching Technologies, 2023
With the advent of the big data internet era, the corresponding multimedia technology is also developing. At the same time, as an important place for students to improve their cognitive level and expand their knowledge coverage, the construction of knowledge and information in university libraries will have an important impact on the growth of…
Descriptors: Foreign Countries, Research Libraries, Library Facilities, Student Development
Picciotto, Robert – American Journal of Evaluation, 2020
Evaluators have been slow to "plug" into the digital world, let alone engage with the strategic implications of the Big Data revolution for the evaluation discipline. Yet, Big Data holds enormous promise for extending the reach and improving the quality of evaluation practice. Equally, systematic recourse to evaluation would greatly…
Descriptors: Data, Evaluation, Data Use, Change
Wu, Xinli; Chang, Jie; Lian, Fei; Jiang, Liheng; Liu, Juntong; Yasrab, Robail – International Journal of Information and Communication Technology Education, 2022
The rapid development of big data technology has attracted a variety of sectors, including tertiary education. The purpose of this paper is to construct a precision teaching mode based on big data technology in order to improve teaching quality and further promote education and teaching reform. The proposed mode, based on the theory of precision…
Descriptors: Precision Teaching, Learning Analytics, Teacher Evaluation, Programming Languages
Montree Chinsomboon; Pallop Piriyasurawong – Higher Education Studies, 2024
The article is in the second phase of research is about "the big data architecture for pre-teacher preparation supply chain with prescriptive analytics of higher education in Thailand". The objectives of the study were (1) to study the pre-teacher preparation supply chain in Thailand, (2) to develop a model the big data system for the…
Descriptors: Supply and Demand, Information Management, Preservice Teacher Education, Preservice Teachers