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Hilliker, Angela K.; Grayson, Kristine L. – Biochemistry and Molecular Biology Education, 2022
As biologists accumulate or encounter increasingly large and complex data sets, our field creates the need for students to develop skills in data exploration and visualization. Many biology courses lack the time for students to develop the skills needed to parse complex datasets and visualize them appropriately. We developed a new upper-level…
Descriptors: Science Instruction, Biology, Undergraduate Students, Data Collection
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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
Zhang, Zhiyong; Zhang, Danyang – Grantee Submission, 2021
Data science has maintained its popularity for about 20 years. This study adopts a bottom-up approach to understand what data science is by analyzing the descriptions of courses offered by the data science programs in the United States. Through topic modeling, 14 topics are identified from the current curricula of 56 data science programs. These…
Descriptors: Statistics Education, Definitions, Course Descriptions, Computer Science Education
Marker, Kathryn Christner – ProQuest LLC, 2016
Because data access may be perceived by principals as overwhelming or irrelevant rather than helpful (Wayman, Spikes, & Volonnino, 2013), data access does not guarantee effective data use. The data-based decision making literature has largely focused on teacher use of data, considering less often data-based organizational improvements for the…
Descriptors: Principals, Data Collection, Evaluation Methods, Decision Making
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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
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Hawkey, Roger; Thompson, Sue; Turner, Richard – Learning, Media and Technology, 2007
The analysis of classroom observation data is seen as increasingly important in research on the impact of high-stakes language tests or new foreign-language programmes on students, teachers and other stakeholders. Video-recordings of language teaching and learning in classrooms impacted by such tests or programmes can provide revealing data,…
Descriptors: Databases, Language Tests, Language Teachers, Educational Research
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San Diego, Jonathan P.; McAndrew, Patrick – Journal of Interactive Media in Education, 2009
Two small studies, one an "eye-tracking" study and the other a "remote observation" study, have been conducted to investigate ways to identify two kinds of online learner interactions: users flicking through the web pages in "browsing" action, and users engaging with the content of a page in "learning"…
Descriptors: Observation, Flow Charts, Eye Movements, Use Studies
Pitler, Howard; Hubbell, Elizabeth R.; Kuhn, Matt; Malenoski, Kim – Association for Supervision and Curriculum Development, 2007
One of the most effective ways to implement the research-based instructional strategies from Classroom Instruction That Works is to use them with educational technologies, such as word processing and spreadsheet applications, multimedia, data collection tools, communication software, and the Internet. This book shows you how and gives you hundreds…
Descriptors: Feedback (Response), Educational Strategies, Homework, Formative Evaluation
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers