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Yibei Yin – International Journal of Web-Based Learning and Teaching Technologies, 2023
In order to study the big data of college students' employment, this paper takes the big data of college students' employment as the premise, analyzes the current employment data by establishing a DBN model, and puts forward relevant management measures, aiming to provide scientific basis for the management of graduates' employment data. The…
Descriptors: College Students, Student Employment, Data Analysis, Artificial Intelligence
Baig, Maria Ijaz; Yadegaridehkordi, Elaheh; Shuib, Liyana; Sallehuddin, Hasimi – Education and Information Technologies, 2023
Even though big data offers new opportunities to organizations, big data adoption (BDA) is still in the early stages of introduction, and its determinants remain unclear in many sectors. Therefore, this research intended to identify the determinants of BDA in the education sector. A theoretical model was developed based on the integration of the…
Descriptors: Foreign Countries, Learning Analytics, Higher Education, Structural Equation Models
Pratsri, Sajeewan; Nilsook, Prachyanun – Higher Education Studies, 2020
According to a continuously increasing amount of information in all aspects whether the sources are retrieved from an internal or external organization, a platform should be provided for the automation of whole processes in the collection, storage, and processing of Big Data. The tool for creating Big Data is a Big Data challenge. Furthermore, the…
Descriptors: Data Analysis, Higher Education, Information Systems, Data Collection
Williams, Tamara; Cheng, Xiaoyue; Majumder, Mahbubul; Hastings, Matt; Suh, Hongwook; Dash, Kunal; Yeo, Jian Ju – School Community Journal, 2020
Big data is a unique field of study which requires specialized analytics. The field of education has a lot of data: individual student test scores, attendance, behavior, and demographic data are just some of the regularly collected information year after year. Individual student data across an entire state over several years quickly becomes big…
Descriptors: Data, Elementary Secondary Education, Data Analysis, Cooperation
Khajonmote, Withamon; Chinsook, Kittipong; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jansawang, Natchanok; Jantakoon, Thada – Journal of Education and Learning, 2022
The system architecture of big data in massive open online courses (BD-MOOCs System Architecture) is composed of six components. The first component was comprised of big data tools and technologies such as Hadoop, YARN, HDFS, Spark, Hive, Sqoop, and Flume. The second component was educational data science, which is composed of the following four…
Descriptors: MOOCs, Data Collection, Student Behavior, Computer Software
Alkhalil, Adel; Abdallah, Magdy Abd Elrahman; Alogali, Azizah; Aljaloud, Abdulaziz – International Journal of Information and Communication Technology Education, 2021
Higher education systems (HES) have become increasingly absorbed in applying big data analytics due to competition as well as economic pressures. Many studies have been conducted that applied big data analytics in HES; however, a systematic review (SR) of the research is scarce. In this paper, the authors conducted a systematic mapping study to…
Descriptors: Learning Analytics, Higher Education, Educational Research, Publications
Woo, Sang Eun, Ed.; Tay, Louis, Ed.; Proctor, Robert W., Ed. – APA Books, 2020
Technological advances have led to an abundance of widely available data on every aspect of life today. Psychologists today have more information than ever before on human cognition, emotion, attitudes, and behavior. "Big Data in Psychological Research" addresses the opportunities and challenges that this data presents to psychological…
Descriptors: Psychological Studies, Research Design, Data Collection, Best Practices
Baig, Maria Ijaz; Shuib, Liyana; Yadegaridehkordi, Elaheh – International Journal of Educational Technology in Higher Education, 2020
Big data is an essential aspect of innovation which has recently gained major attention from both academics and practitioners. Considering the importance of the education sector, the current tendency is moving towards examining the role of big data in this sector. So far, many studies have been conducted to comprehend the application of big data…
Descriptors: Educational Research, Educational Trends, Learning Analytics, Student Behavior
François, Karen; Monteiro, Carlos; Allo, Patrick – Statistics Education Research Journal, 2020
In the contemporary society a massive amount of data is generated continuously by various means, and they are called Big-Data sets. Big Data has potential and limits which need to be understood by statisticians and statistics consumers, therefore it is a challenge to develop Big-Data Literacy to support the needs of constructive, concerned, and…
Descriptors: Data Collection, Data Analysis, Statistical Analysis, Comprehension
Li, Xiaoyu; Xia, Jianping – Science Insights Education Frontiers, 2020
The rise of big data technology provides direction and support for the reform and development of education. Big data technology can realize the inventory management and effective dynamic monitoring of schools, students, and teachers. It is conducive to comprehensively and accurately controlling the development of teaching activities, injecting new…
Descriptors: Foreign Countries, Middle School Students, Data Analysis, Data Collection
Zadeh, Amir H.; Zolbanin, Hamed M.; Sharda, Ramesh – Journal of Information Systems Education, 2021
The age of big data drives the need for emerging technologies to enable scalable analytics on massive, rapidly generated, and varied data. It requires "data scientists" with deep knowledge of managing the six Vs of big data: volume, velocity, variety, volatility, veracity, and value. As a result of this trend, new analytical tools are…
Descriptors: Social Media, Business Administration Education, Data Analysis, Teaching Methods
Corple, Danielle J.; Linabary, Jasmine R. – International Journal of Social Research Methodology, 2020
Many ethical concerns in online big data research stem from a pervasive assumption that data are disembodied and place-less. While some scholars have begun addressing the ethical dilemmas of big data, few offer approaches or tools that fully grapple with the situatedness of online data and its ethical implications. We draw on feminist new…
Descriptors: Feminism, Ethics, Research, Epistemology
Beerkens, Maarja – Quality in Higher Education, 2022
Performance data in higher education has gone through a major development in the last few decades. Simple input measures have given way to increasingly nuanced and dynamic output measures and performance indicators have become an integral part of management at the organisational and system level. The evolution of higher education performance…
Descriptors: Higher Education, Governance, Data Use, College Administration
Saadia, Drissi – International Journal of Web-Based Learning and Teaching Technologies, 2021
Cloud computing, internet of things (IoT), artificial intelligence, and big data are four very different technologies that are already discussed separately. The use of the four technologies is required to be more and more necessary in the present day in order to make them important components in today's world technology. In this paper, the authors…
Descriptors: Teaching Methods, Computer Science Education, Computer Software, Artificial Intelligence
Guoxiang, Zhou; Elnura, Mambetova; Guihua, Wang – International Journal of Distance Education Technologies, 2023
The arrival of big data poses a challenge to foreign language teachers in colleges and universities. Based on the background of big data, this study verifies the impact of information literacy on creativity of foreign language teachers in colleges and universities. By collecting 205 foreign language teachers from colleges and universities in…
Descriptors: Foreign Countries, Information Literacy, Creativity, Second Language Learning