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Direct linkReinhart, Alex; Genovese, Christopher R. – Journal of Statistics and Data Science Education, 2021
Traditionally, statistical computing courses have taught the syntax of a particular programming language or specific statistical computation methods. Since Nolan and Temple Lang's seminal paper, we have seen a greater emphasis on data wrangling, reproducible research, and visualization. This shift better prepares students for careers working with…
Descriptors: Computer Software, Graduate Students, Computer Science Education, Statistics Education
What! No GUI? -- Teaching a Text Based Command Line Oriented Introduction to Computer Science Course
Download full textGoldstein, Ira – Information Systems Education Journal, 2019
Computer Science students need to acquire knowledge about both the hardware and software aspects of computing systems. It is necessary for them to understand how each layer interacts with one another. However, since Graphical User Interfaces have become ubiquitous, the opportunities to interact with the computer via a command prompt as part of…
Descriptors: Computer Science Education, Computer Software, Introductory Courses, Programming
Braun, Linda W. – School Library Journal, 2010
HomeworkNYC Apps is a suite of tools designed to provide around-the-clock help to the estimated 1.3 million children and teens served by the libraries of New York City. Aimed at being a one-stop shop for all things homework related, the HomeworkNYC website offers access to library catalogs and databases, browsable subject guides, and even…
Descriptors: Homework, Teacher Education Programs, Young Adults, Libraries
Richter, Thomas; Rudlof, Stephan; Adjibadji, B.; Bernlohr, Heiko; Gruninger, Christoph; Munz, Claus-Dieter; Stock, Andreas; Rohde, Christian; Helmig, Rainer – Interactive Technology and Smart Education, 2012
Purpose: In the process of the implementation of the eBologna program and the recent change of the university system, curricula at German universities have been redesigned; courses have been condensed and learning content has been re-structured into modules, each of which requires an evaluation. Simultaneously, skills required for working in…
Descriptors: Foreign Countries, Electronic Learning, Computer Software, Course Evaluation
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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
