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Showing 1 to 15 of 67 results Save | Export
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Kean Birch; Janja Komljenovic; Sam Sellar; Morten Hansen – Learning, Media and Technology, 2025
The COVID pandemic highlighted the increasing deployment of digital technologies in educational institutions, defined as 'edtech'. The most visible edtech was video conferencing software, but a swathe of edtech startups have sought to roll out their products and services to educational institutions. We focus specifically on the deployment of…
Descriptors: Educational Technology, Technology Uses in Education, Higher Education, Videoconferencing
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Elena Drugova; Irina Zhuravleva; Ulyana Zakharova; Adel Latipov – Journal of Computer Assisted Learning, 2024
Background: Driven by the ongoing need to provide high-quality learning and teaching, universities recently have shown an increased interest in using learning analytics (LA) for improving learning design (LD). However, the evidence of such improvements is scarce, and the maturity of such research is unclear. Objectives: This study is aimed to…
Descriptors: Learning Analytics, Instructional Design, Higher Education, Instructional Improvement
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Lakshminarayanan, Srinivasan; Rao, N. J. – Higher Education for the Future, 2022
There are many grey areas in the interpretation of academic integrity in the course on Introduction to Programming, commonly known as CS1. Copying, for example, is a method of learning, a method of cheating and a reuse method in professional practice. Many institutions in India publish the code in the lab course manual. The students are expected…
Descriptors: Integrity, Cheating, Duplication, Introductory Courses
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Lim, Miguel Antonio – Higher Education Policy, 2021
This article reflects on the 'quantified self at work' (Moore and Robinson in New Media Soc 18(11):2774-2792, 2016), neoliberal government (Miller and Rose in Econ Soc 19(1):1-31, 1990; Rose and Miller in Br J Sociol 43(2):173-205, 1992; Ball in J Educ Policy 18(2):215-228, 2003), and the use of bibliometric technologies that record research…
Descriptors: Neoliberalism, Bibliometrics, Research, Higher Education
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Vetter, Matthew A.; McDowell, Zachary J. – Journal of University Teaching and Learning Practice, 2023
COVID-19 and the public health policies emerging in response have laid bare a multiplicity of issues related to educational access and knowledge equity on a global scale. Among these, the quick shift to online and hybrid education models led teachers to adapt a plethora of digital platforms to deliver content and sponsor interactions). Such…
Descriptors: Equal Education, Epistemology, Educational Technology, Technology Uses in Education
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Wonkyung Choi; Jun Jo; Geraldine Torrisi-Steele – International Journal of Adult Education and Technology, 2024
Despite best efforts, the student experience remains poorly understood. One under-explored approach to understanding the student experience is the use of big data analytics. The reported study is a work in progress aimed at exploring the value of big data methods for understanding the student experience. A big data analysis of an open dataset of…
Descriptors: College Students, Data Analysis, Data Collection, Learning Analytics
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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
Z. W. Taylor; Joshua Childs – Sage Research Methods Cases, 2022
This case study explains how to gather web metrics to measure the size, investment, and popularity of K-12 school system and higher education websites. This case study will first explain and define web metrics in detail, such as keywords, traffic, search engine optimization, and other terminology crucial for educational researchers to understand…
Descriptors: Search Engines, Evaluation, Web Sites, Educational Researchers
Dunlap, Jill; Palmer, Iris; Wesley, Alexa – New America, 2021
The use of student data to inform decision-making and communication is still evolving in higher education. Often missing from campus conversations about use of student data are student voices about their preferences and needs. NASPA and New America engaged in a joint research effort to better understand student perceptions of data use within…
Descriptors: Data Use, Student Attitudes, Decision Making, Trust (Psychology)
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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
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Stern, David; Stern, Roger; Parsons, Danny; Musyoka, James; Torgbor, Francis; Mbasu, Zach – Statistics Education Research Journal, 2020
The African Data Initiative started as a crowd-sourced campaign to improve the teaching of statistics in African universities. The analysis of climate data provides one suitable context to illustrate ideas that lead to a radical new form of teaching. The problem within the context comes first, the technicalities are largely reduced -- mathematics…
Descriptors: Foreign Countries, Data Collection, Data Analysis, Higher Education
Hijazi, Sam – Association Supporting Computer Users in Education, 2016
Universities need to keep up with the demand of the business world when it comes to Big Data. The exponential increase in data has put additional demands on academia to meet the big gap in education. Business demand for Big Data has surpassed 1.9 million positions in 2015. Big Data, Business Intelligence, Data Analytics, and Data Mining are the…
Descriptors: Data Collection, Data Analysis, Computer Software, Spreadsheets
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Oliveira, David Manuel Duarte; Pedro, Luís; Santos, Carlos – Smart Learning Environments, 2021
This paper was developed within the scope of a PhD thesis that intends to characterize the use of mobile applications by the students of the University of Aveiro during class time. The main purpose of this paper is to present the results of an initial pilot study that aimed to fine-tune data collection methods in order to gather data that…
Descriptors: Telecommunications, Higher Education, Pilot Projects, Handheld Devices
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Jones, Kyle M. L.; McCoy, Chase – Learning, Media and Technology, 2019
In this article, we argue that the contributions of documentation studies can provide a useful framework for analyzing the datafication of students due to emerging learning analytics (LA) practices. Specifically, the concepts of individuals being 'made into' data and how that data is 'considered as' can help to frame vital questions concerning the…
Descriptors: Data Analysis, Documentation, Guidelines, Data Collection
Hamilton, Clovia; Swart, William; Stokes, Gerald M. – Online Submission, 2021
We address the issue of consumer privacy against the backdrop of the national priority of maintaining global leadership in artificial intelligence, the ongoing research in Artificial Cognitive Assistants, and the explosive growth in the development and application of Voice Activated Personal Assistants (VAPAs) such as Alexa and Siri, spurred on by…
Descriptors: Rating Scales, Ethics, Compliance (Legal), Artificial Intelligence
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