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Adams, Bryan; Baller, Daniel; Jonas, Bryan; Joseph, Anny-Claude; Cummiskey, Kevin – Journal of Statistics and Data Science Education, 2021
Since the publishing of Nolan and Temple Lang's "Computing in the Statistics Curriculum" in 2010, the American Statistical Association issued new recommendations in the revised GAISE college report. To reflect modern practice and technologies, they emphasize giving students experience with multivariable thinking. Students develop…
Descriptors: Multivariate Analysis, Statistics Education, Teaching Methods, Thinking Skills
Raudonyte, Ieva; Bodin, Mathieu – UNESCO International Institute for Educational Planning, 2021
Although the number of countries conducting large-scale assessments has increased significantly over the past two decades, this has not necessarily led to the effective use of learning assessment data in policy-making and planning. To better understand the reasons for this, the UNESCO International Institute for Educational Planning (IIEP)…
Descriptors: Data Use, Foreign Countries, Student Evaluation, Educational Planning
Cedefop - European Centre for the Development of Vocational Training, 2021
The feedback between vocational education and training (VET) and the labour market can provide important input for the review and renewal of qualifications. A feedback loop that is based on learning outcomes helps provide deeper insights into what is required on the labour market, what is offered in training provisions and assessed at the end of a…
Descriptors: Vocational Education, Outcomes of Education, Education Work Relationship, Qualifications
Hsiao, I-Han, Ed.; Sahebi, Shaghayegh, Ed.; Bouchet, Francois, Ed.; Vie, Jill-Jenn, Ed. – International Educational Data Mining Society, 2021
For this 14th iteration of the International Conference on Educational Data Mining (EDM 2021), the conference was held completely online. EDM is organized under the auspices of the International Educational Data Mining Society and was meant to happen in Paris, France. The official theme of this year's conference was Shifting Landscape of…
Descriptors: Blended Learning, Distance Education, Learning Analytics, Educational Technology
Fullerton, Jon – American Enterprise Institute, 2021
Over the past two decades, education underwent a "big data" revolution as states began tracking individual student performance and interim assessments and educational software allowed for a greater granularity of data on students, teachers, and schools. Despite this plethora of new data, considerable gaps in data on early childhood…
Descriptors: Academic Achievement, Learning Analytics, Computer Software, Educational Policy
Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – Annenberg Institute for School Reform at Brown University, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Higher Education, Predictive Measurement, Models
Jacob D. Downs – ProQuest LLC, 2021
For decades, researchers and practitioners have supported developing readers via synchronous oral reader with a stronger peer or adult tutor. These methods--collectively known as Paired Oral Reading--are purported to promote reading achievement for tutee readers. However, despite nearly 60 years of investigation, no known research has adequately…
Descriptors: Elementary Schools, Oral Reading, Reading Strategies, Elementary School Students
Taylor, Jason L.; Martineau, Mike – New Directions for Institutional Research, 2019
Decades of research suggest that faculty play a critical role in student learning and success, yet at many institutions, faculty are not integrated into the institutional research function. This chapter examines how institutional research and faculty can collaborate to encourage data-informed faculty decision-making to drive student success and…
Descriptors: Academic Achievement, College Faculty, Teacher Role, Decision Making
Debo, Justin; Podeschi, R. J. – Information Systems Education Journal, 2019
With the emergence of big data as a strategic weapon in business, the need for hands-on activities in undergraduate courses is essential for preparing the next wave of technical talent. As the availability of programs in data analytics and data science grows based on market demands, the need for foundational technical skills is important to equip…
Descriptors: Data Analysis, Undergraduate Students, Information Systems, Business
Pelaez, Kevin – Journal of Educational Data Mining, 2019
Higher education institutions often examine performance discrepancies of specific subgroups, such as students from underrepresented minority and first-generation backgrounds. An increase in educational technology and computational power has promoted research interest in using data mining tools to help identify groups of students who are…
Descriptors: At Risk Students, College Students, Identification, Multivariate Analysis
Gushchina, Oksana; Ochepovsky, Andrew – Turkish Online Journal of Distance Education, 2019
The article shows the role of data mining methods at the stages of the e-learning risk management for the various participants. The article proves the e-learning system fundamentally contains heterogeneous information, for its processing it is not enough to use the methods of mathematical analysis but it is necessary to apply the new educational…
Descriptors: Data Analysis, Information Retrieval, Electronic Learning, Risk Management
Seufert, Sabine; Meier, Christoph; Soellner, Matthias; Rietsche, Roman – Technology, Knowledge and Learning, 2019
The increasing prevalence of learner-centred forms of learning as well as an increase in the number of learners actively participating on a wide range of digital platforms and devices give rise to an ever-increasing stream of learning data. Learning analytics (LA) can enable learners, teachers, and their institutions to better understand and…
Descriptors: Incidence, Student Centered Learning, Data Analysis, Prediction
Scott, Daniel – Action Learning: Research and Practice, 2019
While on my own journey of personal development in action learning facilitation, I conducted a research project in response to the question: How do facilitators most effectively support Critical Action Learning (CAL)? From selecting the topic and establishing the methodology, through to collecting data and analysing the results, this account…
Descriptors: Experiential Learning, Facilitators (Individuals), Research Projects, Research Methodology
Lari, Pooneh; Rose, Annette; Ernst, Jeremy V.; Clark, Aaron C.; Kelly, Daniel P.; DeLuca, V. William – Technology and Engineering Teacher, 2019
Action research is a cyclical research process that may be used to improve instructional practice, assessment tools, and student outcomes. Action research always focuses on local problems and takes place in the natural setting of a classroom, laboratory, or school. Unlike traditional research, action researchers are primarily "committed to…
Descriptors: Action Research, Teacher Researchers, Teacher Collaboration, Research Methodology
Teixeira da Silva, Jaime A.; Al-Khatib, Aceil – Research Ethics, 2019
Without peer reviewers, the entire scholarly publishing system as we currently know it would collapse. However, as it currently stands, publishing is an extremely exploitative system, relative to other business models, in which trained and specialized labor is exploited, in the form of editors and peer reviewers, primarily by for-profit…
Descriptors: Peer Evaluation, Faculty Publishing, Editing, Publishing Industry

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