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Ahadi, Alireza; Singh, Abhay; Bower, Matt; Garrett, Michael – Education Sciences, 2022
Advances in Information Technology (IT) and computer science have without a doubt had a significant impact on our daily lives. The past few decades have witnessed the advancement of IT enabled processes in generating actionable insights in various fields, encouraging research based applications of modern Data Science methods. Among many other…
Descriptors: Data Analysis, Bibliometrics, Learning Analytics, Computer Software
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M. C. Morsink; E. N. van Schaik; K. Bossers; D. A. Duijker; A. G. C. L. Speksnijder – Biochemistry and Molecular Biology Education, 2025
Abstract Targeted metagenomics is a rapidly expanding technology to analyze complex biological samples and genetic monitoring of environmental samples. In this research field, data analytical aspects play a crucial role. In order to teach targeted metagenomics data analysis, we developed a 4-week inquiry-driven modular course-based undergraduate…
Descriptors: Genetics, Microbiology, College Science, Science Process Skills
National Forum on Education Statistics, 2024
The "Forum Guide to Data Literacy" is designed to help education agencies understand and build data literacy skills among various stakeholder groups such as administrators, teachers, students, parents and other caregivers, school board members, legislators, and community groups. This resource defines and discusses the importance of data…
Descriptors: Public Agencies, Statistics, Data Analysis, Statistics Education
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Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology