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Dogucu, Mine; Çetinkaya-Rundel, Mine – Journal of Statistics and Data Science Education, 2022
It is recommended that teacher-scholars of data science adopt reproducible workflows in their research as scholars and teach reproducible workflows to their students. In this article, we propose a third dimension to reproducibility practices and recommend that regardless of whether they teach reproducibility in their courses or not, data science…
Descriptors: Statistics Education, Data Science, Teaching Methods, Instructional Materials
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Neely, Megan L.; Troy, Jesse D.; Gschwind, Gerald T.; Pomann, Gina-Maria; Grambow, Steven C.; Samsa, Gregory P. – Journal of Curriculum and Teaching, 2022
We describe an innovative preorientation curriculum (POC) for a Master of Biostatistics (MB) program. The goal of the POC is to fill critical skills gaps for students entering the MB program from heterogeneous backgrounds so they are prepared to engage in the program's rigorous, fast-paced training upon arrival. To achieve this goal, we introduce…
Descriptors: Masters Programs, Graduate Students, Biology, Statistics Education
Huang, Hong – Online Submission, 2016
Project-Based Learning (PBL) is a widely adopted pedagogy that ignites students' interest of a subject through the investigation of an authentic problem and cultivates their abilities of innovation and self-learning. Traditional PBL often involves a project of complexity and significant scale, which, under the time constraint of a course, is often…
Descriptors: Active Learning, Student Projects, Teaching Methods, Computer Science Education
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Udvaros, József; Gubán, Miklós – Acta Didactica Napocensia, 2016
The world all around us is rapidly developing. We are witnessing the rapid evolution of technology and communication. This means new challenges and responsibilities to future strategies and attitudes. Today's operating systems and development environments apply the principle of OOP; therefore today's developments are inconceivable without the…
Descriptors: Programming, Computer Science Education, Programming Languages, Computer Software
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Amadio, William J. – American Journal of Business Education, 2009
This paper examines how Team Learning allows students to express themselves through their work. I define expression to include taking ownership of one's work, i.e. working through self-motivation rather than through the dictates of a teacher, and participating in a community of workers. This participation includes working with colleagues on…
Descriptors: Technical Education, Self Expression, Cooperative Learning, Teamwork
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
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Nuutila, Esko; Torma, Seppo; Malmi, Lauri – Computer Science Education, 2005
Problem-Based Learning (PBL) method emphasizes students' own activity in learning about problems, setting up their own learning goals and actively searching for and analyzing information. In this paper, we describe and discuss our experiences on applying PBL, especially the seven steps method widely used in medical faculties, in an introductory…
Descriptors: Problem Based Learning, Teaching Methods, Programming, Computer Science Education
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