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Yan Zhang – International Journal of Information and Communication Technology Education, 2024
Given the current rapid development of informatization, people will increasingly use online teaching methods to learn for their quality improvement. Starting from the fundamental theories, such as the concept, classification, basic process, task, and method of data mining under the background of Internet Plus, this article analyzes the problems…
Descriptors: Vocational Education, Educational Improvement, Web Based Instruction, Teaching Methods
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Loy, Adam; Kuiper, Shonda; Chihara, Laura – Journal of Statistics Education, 2019
This article describes a collaborative project across three institutions to develop, implement, and evaluate a series of tutorials and case studies that highlight fundamental tools of data science--such as visualization, data manipulation, and database usage--that instructors at a wide-range of institutions can incorporate into existing statistics…
Descriptors: Undergraduate Study, Data Collection, Data Analysis, Statistics
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Mejia, Carolina; Florian, Beatriz; Vatrapu, Ravi; Bull, Susan; Gomez, Sergio; Fabregat, Ramon – IEEE Transactions on Learning Technologies, 2017
Existing tools aim to detect university students with early diagnosis of dyslexia or reading difficulties, but there are not developed tools that let those students better understand some aspects of their difficulties. In this paper, a dashboard for visualizing and inspecting early detected reading difficulties and their characteristics, called…
Descriptors: Clinical Diagnosis, Dyslexia, Visualization, Metacognition
Annie E. Casey Foundation, 2009
The broad array of data presented each year in the "KIDS COUNT Data Book" is intended to illuminate the status of America's children and to assess trends in their well-being. By updating the assessment every year, KIDS COUNT provides ongoing benchmarks that can be used to see how states have advanced or regressed over time. Readers can…
Descriptors: Profiles, Maps, Well Being, Data Collection