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Direct linkBurgiel, Heidi; Sadler, Philip M.; Sonnert, Gerhard – ACM Transactions on Computing Education, 2020
The number of computer science (CS) courses has been dramatically expanding in U.S. high schools (HS). In comparison with well-established courses in mathematics and science, little is known about how the decisions made by HS CS teachers regarding how and what to teach impact student performance later in introductory college CS courses. Drawing on…
Descriptors: Computer Science Education, High School Students, College Students, High School Teachers
Geng, Jianming; Chen, Kaiyuan; Wang, Nengxin; Ling, Sihan; Guo, Muqi; Huang, Zuyi – Chemical Engineering Education, 2019
US high school (HS) students are lagging behind their foreign peers in math performance. It is thus necessary to design teaching modules that motivate US HS students to learn more math and to improve their math skills. Our study set out to test two different software programs designed for the development of such skills. MATLAB Simulink provides a…
Descriptors: High School Students, Secondary School Mathematics, Mathematics Education, Computer Software
Download full textHolm, Jennifer, Ed.; Mathieu-Soucy, Sarah, Ed. – Canadian Mathematics Education Study Group, 2019
In June 2018 the Canadian Mathematics Education Study Group/Groupe Canadien d'étude en didactique des mathématiques (CMESG/GCEDM) held its 42nd meeting in the idyllic setting of Squamish, British Columbia. This meeting marked the first time CMESG/GCEDM had been in British Columbia since 2010 and the first time it had been held at Quest University.…
Descriptors: Mathematics Education, Mathematics Teachers, Teaching Methods, Interdisciplinary Approach
Erdogan, Yavuz; Aydin, Emin; Kabaca, Tolga – Journal of Instructional Psychology, 2008
The main purpose of this study is to explore the predictors of programming achievement. With this aim in mind, the students' success in the programming courses is specified as the dependent variable and creativity, problem solving, general aptitudes, computer attitudes and mathematics achievement are specified as the independent variables. A…
Descriptors: Predictor Variables, Programming, Achievement, Correlation
Clark, Kevin; Sheridan, Kimberly – Journal of Educational Multimedia and Hypermedia, 2010
The findings from an after-school program entitled Game Design through Mentoring and Collaboration (GDMC) funded by the National Science Foundation's Innovative Technology Experiences for Students and Teachers (ITEST) program. A total of 139 middle and high schools students in the Washington, D.C. metropolitan area to learn the basics of…
Descriptors: Mentors, After School Programs, Cooperation, Programming
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
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
