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Rets, Irina; Herodotou, Christothea; Gillespie, Anna – Journal of Learning Analytics, 2023
The progressive move of higher education institutions (HEIs) towards blended and online environments, accelerated by COVID-19, and their access to a greater variety of student data has heightened the need for ethical learning analytics (LA). This need is particularly salient in light of a lack of comprehensive, evidence-based guidelines on ethics…
Descriptors: Ethics, Learning Analytics, Evidence Based Practice, Guidelines
Reinitz, Betsy Tippens; McCormack, Mark; Reeves, Jamie; Robert, Jenay; Arbino, Nichole – EDUCAUSE, 2022
With this 2022 data and analytics edition, EDUCAUSE further expands their series of Horizon Reports to focus on an emerging area of practice that is driving institutional decision-making and strategic planning for the future--the trends, technologies, and practices that are shaping the world of postsecondary data and analytics. Based on a…
Descriptors: Learning Analytics, Educational Trends, Trend Analysis, Higher Education
Utamachant, Piriya; Anutariya, Chutiporn; Pongnumkul, Suporn – Smart Learning Environments, 2023
Apart from good instructional design and delivery, effective intervention is another key to strengthen student academic performance. However, intervention has been recognized as a great challenge. Most instructors struggle to identify at-risk students, determine a proper intervention approach, trace and evaluate whether the intervention works.…
Descriptors: Intervention, Learning Analytics, Learning Management Systems, Programming
Andriamiseza, Rialy; Silvestre, Franck; Parmentier, Jean-Francois; Broisin, Julien – IEEE Transactions on Learning Technologies, 2023
Formative assessment provides teachers with feedback to help them adapt their behavior. To manage the increasing number of students in higher education, technology-enhanced formative assessment tools can be used to maintain and hopefully improve teaching and learning quality, thanks to the high amount of data that are generated by their usage.…
Descriptors: Learning Analytics, Formative Evaluation, Evidence Based Practice, Peer Evaluation
Forsyth, Carol M.; Graesser, Arthur; Millis, Keith – Technology, Knowledge and Learning, 2020
The current study investigated predictors of shallow versus deep learning within a serious game known as Operation ARA. This game uses a myriad of pedagogical features including multiple-choice tests, adaptive natural language tutorial conversations, case-based reasoning, and an E-text to engage students. The game teaches 11 topics in research…
Descriptors: Educational Games, Predictor Variables, Evidence Based Practice, Learning Analytics
Prinsloo, Paul – British Journal of Educational Technology, 2019
Data--their collection, analysis and use--have always been part of education, used to inform policy, strategy, operations, resource allocation, and, in the past, teaching and learning. Recently, with the emergence of learning analytics, the collection, measurement, analysis and use of student data have become an increasingly important research…
Descriptors: Learning Analytics, Data Collection, Data Analysis, Measurement
Bart, Rienties; Olney, Tom; Nichols, Mark; Herodotou, Christothea – Open Learning, 2020
The implementation of learning analytics may empower distance learning institutions to provide real-time feedback to students and teachers. Given the leading role of the Open University UK (OU) in research and application of learning analytics, this study aims to share the lessons learned from the experiences of 42 participants from a range of…
Descriptors: Learning Analytics, Distance Education, Teacher Attitudes, Individualized Instruction
Muhammad, Robert; McManus, Kristen – Strategic Enrollment Management Quarterly, 2018
If universities want to survive into the century while maintaining relevancy to the business world and the global market, they must utilize innovative methods that engage students from the time of admission through graduation. Successful engagement equates to economic growth and positive branding. Students who are 'invested' and feel that the…
Descriptors: Enrollment Management, Learning Analytics, Data Collection, Evidence Based Practice
Kannan, Vijayanandhini; Warriem, Jayakrishnan M.; Majumdar, Rwitajit; Ogata, Hiroaki – Research and Practice in Technology Enhanced Learning, 2022
With COVID-19 pandemic forcing academic institutions to shift to emergency remote teaching (ERT), teachers worldwide are attempting several strategies to engage their learners. Even though existing research in online learning suggests that effectiveness of the online session is more dependent on pedagogical design rather than technology feature,…
Descriptors: Physics, Undergraduate Students, COVID-19, Pandemics
Prestigiacomo, Rita; Hunter, Jane; Knight, Simon; Martinez Maldonado, Roberto; Lockyer, Lori – Australasian Journal of Educational Technology, 2020
Data about learning can support teachers in their decision-making processes as they design tasks aimed at improving student educational outcomes. However, to achieve systemic impact, a deeper understanding of teachers' perspectives on, and expectations for, data as evidence is required. It is critical to understand how teachers' actions align with…
Descriptors: Preservice Teachers, Preservice Teacher Education, Elementary Secondary Education, Undergraduate Students
Kuromiya, Hiroyuki; Majumdar, Rwitajit; Ogata, Hiroaki – Educational Technology & Society, 2020
Evidence-based education has become more relevant in the current technology-enhanced teaching-learning era. This paper introduces how Educational BIG data has the potential to generate such evidence. As evidence-based education traditionally hooks on the meta-analysis of the literature, so there are existing platforms that support manual input of…
Descriptors: Evidence Based Practice, Case Studies, Learning Analytics, Data Collection
Bozkurt, Aras; Ucar, Hasan; Durak, Gurhan; Idin, Sahin – Cypriot Journal of Educational Sciences, 2019
In the 21st century, when the knowledge-based economy is steering improvement and development, STEM education has gained increasing momentum and importance. This study aims to identify the current trends in STEM education, and also explores and identifies research trends and patterns in articles published between 2014 and 2016 on STEM education…
Descriptors: State of the Art Reviews, STEM Education, Educational Research, Educational Trends
US Department of Education, 2020
The U.S. Department of Education's (Department) mission is to promote student achievement and preparation for global competitiveness by fostering educational excellence and ensuring equal access. The Department pursues its mission by establishing policies and distributing corresponding funds, focusing national attention on key educational issues,…
Descriptors: Public Agencies, Institutional Mission, Academic Achievement, Educational Policy
Piety, Philip J. – Review of Research in Education, 2019
This chapter reviews actionable data use--both as an umbrella term and as a specific concept--developed in three different traditions that data/information can inform and guide P-20 educational practice toward better outcomes. The literatures reviewed are known as data-driven decision making (DDDM), education data mining (EDM), and learning…
Descriptors: Educational Practices, Data Use, Outcomes of Education, Learning Analytics
Craig, Scotty D. – Advanced Distributed Learning Initiative, 2021
The dynamic and high-stakes nature of education and training requires reliance on evidence-based practices and policies to make decisions about technology adoption and implementation. In the report, "Science of Learning and Readiness (SoLaR) Recommendation Report: Science of Learning Practices for Distributed Online Environments"…
Descriptors: Science Education, Learning Readiness, Evidence Based Practice, Check Lists
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