NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 1 to 15 of 130 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Taylor, Kevin – Education and Culture, 2022
For Dewey, growth in the educative process means education that enriches and expands one's experience as it prepares students for not only a vocation but also entry into and transaction with the world. In few places can we see growth, generally understood, to be occurring as fast as in big data technology. This essay begins with an overview of…
Descriptors: Educational Philosophy, Educational Development, Technology Uses in Education, Learning Analytics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Lee, Sang Eun; Choi, Naya; Kiaer, Jieun – Contemporary Educational Technology, 2023
The study explored the social perceptions of young children's use of smart devices in South Korea using big data methodologies. Big data methodologies allowed to uncover underlying thoughts and feelings about young children's use of smart devices that had not been discovered in existing studies. The study extracted raw data from three different…
Descriptors: Foreign Countries, Social Attitudes, Educational Technology, Technology Uses in Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Bonami, Beatrice; Piazentini, Luiz; Dala-Possa, André – Comunicar: Media Education Research Journal, 2020
Digital technology has provided users with new connections that have reset our understanding of social architectures. As a reaction to Artificial Intelligence (AI) and Big Data, the educational field has rearranged its structure to consider human and non-human stakeholders and their actions on digital platforms. In light of this increasingly…
Descriptors: Artificial Intelligence, Data, 21st Century Skills, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Shanshan Yan; Jiajia Liu – International Journal of Web-Based Learning and Teaching Technologies, 2023
College English teaching should give full play to the important role of network resources, implement the student-centered network autonomous learning model, and give full play to learners' autonomous learning potential. At present, although some universities have tried this new model, its application in college English lacks practical research.…
Descriptors: Foreign Countries, Data Collection, Data Analysis, English (Second Language)
Peer reviewed Peer reviewed
Direct linkDirect link
Dishon, Gideon – Theory and Research in Education, 2017
Personalized learning has become the most notable application of big data in primary and secondary schools in the United States. The combination of big data and adaptive technological platforms is heralded as a revolution that could transform education, overcoming the outdated classroom model, and realizing the progressive vision of…
Descriptors: Data Collection, Data Analysis, Information Utilization, Individualized Instruction
Nicholas Raikes – Research Matters, 2019
Big international assessment organisations like Cambridge Assessment have long held considerable amounts of data. When text is produced digitally, we can do more with it. Surprisingly to many, there have been examples of automatic scoring of extended writing for around 20 years, though what works well in one context may not be applicable in all…
Descriptors: Data Collection, Data Analysis, Evaluation, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Attaran, Mohsen; Stark, John; Stotler, Derek – Industry and Higher Education, 2018
Business leaders around the world are using emerging technologies to capitalize on data, to create business value and to compete effectively in a digitally driven world. They rely on data analytics to accelerate time to insight and to gain a better understanding of their customers' needs and wants. However, big data and data analytics solutions in…
Descriptors: Models, Higher Education, Data Collection, Program Implementation
Peer reviewed Peer reviewed
Direct linkDirect link
Pence, Harry E. – Journal of Educational Technology Systems, 2015
Big Data is currently a hot topic in the field of technology, and many campuses are considering the addition of this topic into their undergraduate courses. Big Data tools are not just playing an increasingly important role in many commercial enterprises; they are also combining with new digital devices to dramatically change privacy. This article…
Descriptors: Data Collection, Privacy, Undergraduate Study, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Knake, Kaitlin Torphy; Karimi, Hamid; Hu, Sihua; Frank, Kenneth A.; Tang, Jiliang – Elementary School Journal, 2021
Pinterest, a prominent social media platform and facilitator of social networks within virtual spaces, provides individuals the ability to access an array of resources. Teachers may seek out and share instructional resources and professional support to one another across subjects and content. However, in an era of big data metrics, researchers…
Descriptors: Educational Research, Social Media, Technology Uses in Education, Educational Resources
Peer reviewed Peer reviewed
Direct linkDirect link
Apfeldorf, Michael – Social Education, 2018
Big data analysis involves the examination of large sets of data in order to uncover patterns and trends. Within the social studies or history classroom, such analyses can be effective for gaining insights into historical trends over time or across geographical regions. For instance, using simple technology tools, students can perform word…
Descriptors: Data Collection, Data Analysis, Social Studies, Geographic Regions
Peer reviewed Peer reviewed
Direct linkDirect link
Lynch, Collin F. – Theory and Research in Education, 2017
Big Data can radically transform education by enabling personalized learning, deep student modeling, and true longitudinal studies that compare changes across classrooms, regions, and years. With these promises, however, come risks to individual privacy and educational validity, along with deep policy and ethical issues. Education is largely a…
Descriptors: Data Analysis, Data Collection, Privacy, Evaluation Methods
Almes, Guy T.; Hillegas, Curtis W.; Lance, Timothy; Lynch, Clifford A.; Monaco, Gregory E.; Mundrane, Michael R.; Zottola, Ralph J. – EDUCAUSE, 2014
This paper is part of series of the EDUCAUSE Center for Analysis and Research Campus Cyberinfrastructure (ECAR-CCI) Working Group. The topic of big data continues to receive a great deal of publicity because of its promise for opening new avenues of scholarly discovery and commercial opportunity. The ability to sift rapidly through massive amounts…
Descriptors: Data Collection, Data Analysis, Higher Education, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Percell, Jay C. – Quarterly Review of Distance Education, 2016
Wikis continue to be used within technology environments of K-12 and higher education because they offer a collaborative environment for students to produce and receive content in concert with each other or on an individual basis (Kirkham, 2014). These online spaces are typically used as a course management system where students can both receive…
Descriptors: Data, Web 2.0 Technologies, Technology Uses in Education, Social Media
Peer reviewed Peer reviewed
Direct linkDirect link
Rybinski, Krzysztof; Kopciuszewska, Elzbieta – Assessment & Evaluation in Higher Education, 2021
This article presents the first-ever big data study of the student evaluation of teaching (SET) using artificial intelligence (AI). We train natural language processing (NLP) models on 1.6 million student evaluations from the US and the UK. We address two research questions: (1) are these models able to predict student ratings from the student…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Evaluation of Teacher Performance, Natural Language Processing
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9