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Ramirez-Arellano, Aldo; Bory-Reyes, Juan; Hernández-Simón, Luis Manuel – Journal of Educational Computing Research, 2017
The main goal of this article is to develop a Management System for Merging Learning Objects (msMLO), which offers an approach that retrieves learning objects (LOs) based on students' learning styles and term-based queries, which produces a new outcome with a better score. The msMLO faces the task of retrieving LOs via two steps: The first step…
Descriptors: Cognitive Style, Computer Science Education, Management Systems, Educational Resources
Gorbunova, Tatiana N. – European Journal of Contemporary Education, 2017
The subject of the research is to build methodologies to evaluate the student knowledge by testing. The author points to the importance of feedback about the mastering level in the learning process. Testing is considered as a tool. The object of the study is to create the test system models for defence practice problems. Special attention is paid…
Descriptors: Testing, Evaluation Methods, Feedback (Response), Simulation
Casola, Linda – National Academies Press, 2020
Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and…
Descriptors: Meetings, Data Analysis, Postsecondary Education, Statistics Education
Casey, Kevin – Journal of Learning Analytics, 2017
Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…
Descriptors: Keyboarding (Data Entry), Educational Research, Data Collection, Data Analysis
Armoni, Michal – Journal of Computers in Mathematics and Science Teaching, 2013
Abstraction is a key concept in CS, one of the most fundamental ideas underlying CS and its practice. However, teaching this soft concept to novices is a very difficult task, as discussed by many CSE experts. This paper discusses this issue, and suggests a general framework for teaching abstraction in CS to novices, a framework that would fit into…
Descriptors: Introductory Courses, Computer Science, Novices, Expertise
Avancena, Aimee Theresa; Nishihara, Akinori; Vergara, John Paul – International Association for Development of the Information Society, 2012
This paper presents the online cognitive and algorithm tests, which were developed in order to determine if certain cognitive factors and fundamental algorithms correlate with the performance of students in their introductory computer science course. The tests were implemented among Management Information Systems majors from the Philippines and…
Descriptors: Foreign Countries, Computer Science Education, High School Students, College Students
Myller, Niko; Bednarik, Roman; Sutinen, Erkki; Ben-Ari, Mordechai – ACM Transactions on Computing Education, 2009
As collaborative learning in general, and pair programming in particular, has become widely adopted in computer science education, so has the use of pedagogical visualization tools for facilitating collaboration. However, there is little theory on collaborative learning with visualization, and few studies on their effect on each other. We build on…
Descriptors: Computer Science Education, Learning Activities, Visualization, Classification
Deal, Walter F., III; Hsiung, Steve C. – Technology Teacher, 2007
Robotics is a rich and exciting multidisciplinary area to study and learn about electronics and control technology. The interest in robotic devices and systems provides the technology teacher with an excellent opportunity to make many concrete connections between electronics, control technology, and computers and science, engineering, and…
Descriptors: Space Exploration, Electronics, Robotics, Technological Advancement