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Showing 1 to 15 of 55 results Save | Export
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Poolman, Toryn M.; Townsend-Nicholson, Andrea; Cain, Amanda – Biochemistry and Molecular Biology Education, 2022
The final year of a biochemistry degree is usually a time to experience research. However, laboratory-based research projects were not possible during COVID-19. Instead, we used open datasets to provide computational research projects in metagenomics to biochemistry undergraduates (80 students with limited computing experience). We aimed to give…
Descriptors: Genetics, Undergraduate Students, Biological Sciences, Internet
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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
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Firat, Mehmet; Altinpulluk, Hakan; Kilinç, Hakan – Asian Association of Open Universities Journal, 2021
Purpose: This study aims to investigate the preferences of 96 educational researchers on the use of digital technologies in scientific research. Design/methodology/approach: The study was designed as a quantitative-dominant sequential explanatory mixed-method research. Findings: Despite the spreading use of advanced technologies of big data and…
Descriptors: Educational Researchers, Preferences, Scientific Research, Technology Uses in Education
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Fancsali, Stephen E.; Murphy, April; Ritter, Steve – International Educational Data Mining Society, 2022
Ten years after the announcement of the "rise of the super experiment" at Educational Data Mining 2012, challenges to implementing "internet scale" educational experiments often persist for educational technology providers, especially when they seek to test substantive instructional interventions. Studies that deploy and test…
Descriptors: Learning Analytics, Educational Technology, Barriers, Data Analysis
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Burda, Brittany U.; O'Connor, Elizabeth A.; Webber, Elizabeth M.; Redmond, Nadia; Perdue, Leslie A. – Research Synthesis Methods, 2017
Background: Systematic reviewers often encounter incomplete or missing data, and the information desired may be difficult to obtain from a study author. Thus, systematic reviewers may have to resort to estimating data from figures with little or no raw data in a study's corresponding text or tables. Methods: We discuss a case study in which…
Descriptors: Computer Software, Internet, Literature Reviews, Data Analysis
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
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Charles Melvin Ess; Ylva Hård af Segerstad – New Perspectives on Learning and Instruction, 2019
We briefly review the emergence of internet research ethics (IRE) since 2000 across three stages, showing how the last, IRE 3.0, focuses on ethical challenges and issues evoked by Big Data. We explore specific examples of IRE 3.0 as occasioned by requirements for informed consent -- including Big Data analyses of a closed Facebook group -- as…
Descriptors: Ethics, Barriers, Internet, Research Methodology
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Ravendran, Saravnesvaran; Karpudewan, Mageswary; Ali, Mohd Norawi; Lay, Yoon Fah – Malaysian Online Journal of Educational Sciences, 2023
The Fourth Industrial Revolution (4IR) refers to the current rapid technological growth that fundamentally changes how humans live. 4IR is essential to improve higher education worldwide and develop crucial skills such as e-learning and innovation, information and media technology, and life and career skills. This study aims to assess the…
Descriptors: Technological Advancement, Foreign Countries, Technological Literacy, Pedagogical Content Knowledge
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Barollet, Théo; Bouchez Tichadou, Florent; Rastello, Fabrice – International Educational Data Mining Society, 2021
In Intelligent Tutoring Systems (ITS), methods to choose the next exercise for a student are inspired from generic recommender systems, used, for instance, in online shopping or multimedia recommendation. As such, collaborative filtering, especially matrix factorization, is often included as a part of recommendation algorithms in ITS. One notable…
Descriptors: Intelligent Tutoring Systems, Prediction, Internet, Purchasing
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Raj, Gaurav; Mahajan, Manish; Singh, Dheerendra – International Journal of Web-Based Learning and Teaching Technologies, 2020
In secure web application development, the role of web services will not continue if it is not trustworthy. Retaining customers with applications is one of the major challenges if the services are not reliable and trustworthy. This article proposes a trust evaluation and decision model where the authors have defined indirect attribute, trust,…
Descriptors: Trust (Psychology), Models, Decision Making, Computer Software
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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
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Višnovský, Ján; Ungerová, Magdaléna; Kubíková, Karina – NORDSCI, 2019
Due to the development of artificial intelligence and language-based software, automatic machines, which can generate news contents from data, are starting to be used in the editorial practice. Despite the fact that this field of editorial work is currently at its advent, it has been developing and improving relatively quickly. At present, robots…
Descriptors: Journalism, Artificial Intelligence, News Reporting, Information Science
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Labrecque, Lauren I.; Markos, Ereni; Darmody, Aron – Journal of Marketing Education, 2021
Sophisticated technology advances are delivering new and powerful ways for marketers to collect and use consumer data. These data-driven marketing capabilities present a unique challenge for students, as they will soon be expected to manage consumer data and make business decisions based on ethical, legal, and fiscal considerations. This article…
Descriptors: Marketing, Advertising, Privacy, Comparative Analysis
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Liu, Yiyuan; Levin, Michael A. – Marketing Education Review, 2018
With the emerging use of analytics tools and methodologies in marketing, marketing educators have provided students training and experiences beyond the soft skills associated with understanding consumer behavior. Previous studies have only discussed how to apply analytics in course designs, tools, and related practices. However, there is a lack of…
Descriptors: Teaching Methods, Data Analysis, Marketing, Curriculum Design
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Winne, Philip H.; Nesbit, John C.; Popowich, Fred – Technology, Knowledge and Learning, 2017
A bottleneck in gathering big data about learning is instrumentation designed to record data about processes students use to learn and information on which those processes operate. The software system nStudy fills this gap. nStudy is an extension to the Chrome web browser plus a server side database for logged trace data plus peripheral modules…
Descriptors: Data Collection, Research Methodology, Learning Processes, Computer Software
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