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Burgos, Daniel, Ed. – Lecture Notes in Educational Technology, 2020
This open access book presents how Open Science is a powerful tool to boost Higher Education. The book introduces the reader into Open Access, Open Technology, Open Data, Open Research results, Open Licensing, Open Accreditation, Open Certification, Open Policy and, of course, Open Educational Resources. It brings all these key topics from major…
Descriptors: Educational Change, Science Education, Open Education, Higher Education
Acosta, Alejandra – New America, 2020
Predictive analytics has taken higher education by storm, with its promise of closing equity gaps, raising student retention rates, and increasing tuition revenue by keeping students enrolled. Many colleges and universities have made an investment in predictive analytics for student success initiatives, and even more are looking into implementing,…
Descriptors: Prediction, Learning Analytics, Higher Education, Information Dissemination
Morenike Adebodun – ProQuest LLC, 2020
The purpose of this study was to examine the predictive power of Academic and Learning Analytics models on the persistence, retention, and graduation rates for students enrolled in higher education institutions in the United States. Specifically, this study is concerned with the relationships between the present usage of Academic and Learning…
Descriptors: Predictor Variables, Learning Analytics, Academic Achievement, Higher Education
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Lezhnina, Olga; Kismihók, Gábor – International Journal of Research & Method in Education, 2022
In our age of big data and growing computational power, versatility in data analysis is important. This study presents a flexible way to combine statistics and machine learning for data analysis of a large-scale educational survey. The authors used statistical and machine learning methods to explore German students' attitudes towards information…
Descriptors: Student Attitudes, Scientific Literacy, Numeracy, Foreign Countries
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Jørnø, Rasmus Leth; Andersen, Bjarke Lindsø; Gundersen, Peter – Nordic Journal of Studies in Educational Policy, 2022
In this theoretical paper, we argue that Tech enthusiasts and skeptics are animated by the same sociotechnical personalization imaginary to improve education and teaching through personalization, but see very different paths to this goal. Tech boosters point to well-known problems of the existing education system -- and rhetorically ask: 'why…
Descriptors: Educational Improvement, Teaching Methods, Professional Autonomy, Problem Solving
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Salas-Pilco, Sdenka Zobeida; Yang, Yuqin – International Journal of Educational Technology in Higher Education, 2022
Over the last decade, there has been great research interest in the application of artificial intelligence (AI) in various fields, such as medicine, finance, and law. Recently, there has been a research focus on the application of AI in education, where it has great potential. Therefore, a systematic review of the literature on AI in education is…
Descriptors: Artificial Intelligence, Higher Education, Foreign Countries, Technology Uses in Education
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Lee, Ji-Eun; Chan, Jenny Yun-Chen; Botelho, Anthony; Ottmar, Erin – Educational Technology Research and Development, 2022
Online educational games have been widely used to support students' mathematics learning. However, their effects largely depend on student-related factors, the most prominent being their behavioral characteristics as they play the games. In this study, we applied a set of learning analytics methods (k-means clustering, data visualization) to…
Descriptors: Computer Games, Educational Games, Mathematics Instruction, Learning Processes
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Pishtari, Gerti; Prieto, Luis P.; Rodriguez-Triana, Maria Jesus; Martinez-Maldonado, Roberto – Journal of Learning Analytics, 2022
This research was triggered by the identified need in literature for large-scale studies about the kinds of designs that teachers create for mobile learning (m-learning). These studies require analyses of large datasets of learning designs. The common approach followed by researchers when analyzing designs has been to manually classify them…
Descriptors: Scaling, Classification, Context Effect, Telecommunications
Lee, Ji-Eun; Chan, Jenny Yun-Chen; Botelho, Anthony; Ottmar, Erin – Grantee Submission, 2022
Online educational games have been widely used to support students' mathematics learning. However, their effects largely depend on student-related factors, the most prominent being their behavioral characteristics as they play the games. In this study, we applied a set of learning analytics methods ("k"-means clustering, data…
Descriptors: Computer Games, Educational Games, Mathematics Instruction, Learning Processes
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Adair, Amy; Owens, Jessica; Gobert, Janice – Grantee Submission, 2022
Providing high-level support to students on NGSS inquiry practices can be challenging; however, teacher dashboards can help teachers provide just-in-time instruction to students, both in-person and online. Prior work has shown some success with a dashboard that alerts teachers in real time on students' science inquiry difficulties, but teachers…
Descriptors: Epistemology, Network Analysis, Discourse Analysis, Educational Technology
Yikai Lu; Teresa M. Ober; Cheng Liu; Ying Cheng – Grantee Submission, 2022
Machine learning methods for predictive analytics have great potential for uncovering trends in educational data. However, simple linear models still appear to be most widely used, in part, because of their interpretability. This study aims to address the issues of interpretability of complex machine learning classifiers by conducting feature…
Descriptors: Prediction, Statistics Education, Data Analysis, Learning Analytics
Rina Levy Cohen – ProQuest LLC, 2022
The aim of this study was to examine the relationship between common classroom help-seeking determinants (achievement goals, self-efficacy, prior knowledge, gender, and help-seeking perceptions) and help-seeking behaviors online (hint use percentage, latency of help seeking, answer attempt percentage, feedback level percentage, and seeking help…
Descriptors: Correlation, Help Seeking, Self Efficacy, Prior Learning
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De Jesús Liriano, Rubén; Sevillano, María C. – Distance Learning, 2019
In recent years, the academic industry has seen a widespread development of digital technology and learning analytics. Certainly, the exchange of automatic processing has opened a broad set of new ways and opportunities, allowing additional emphasis on interaction and connectivity. This new learning approach provides improvement in the development…
Descriptors: Learning Processes, Higher Education, Learning Analytics, Educational Technology
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Prieto, Luis P.; Rodríguez-Triana, María Jesús; Martínez-Maldonado, Roberto; Dimitriadis, Yannis; Gaševic, Dragan – Australasian Journal of Educational Technology, 2019
Despite the recent surge of interest in learning analytics (LA), their adoption in everyday classroom practice is still slow. Knowledge gaps and lack of inter-stakeholder communication (particularly with educational practitioners) have been posited as critical factors for previous LA adoption failures. Yet, what issues should researchers,…
Descriptors: Learning Analytics, Adoption (Ideas), Stakeholders, Technology Uses in Education
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Ahn, June; Campos, Fabio; Hays, Maria; DiGiacomo, Daniela – Journal of Learning Analytics, 2019
Researchers and developers of learning analytics (LA) systems are increasingly adopting human-centred design (HCD) approaches, with growing need to understand how to apply design practice in different educational settings. In this paper, we present a design narrative of our experience developing dashboards to support middle school mathematics…
Descriptors: Learning Analytics, Usability, Man Machine Systems, Interaction
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