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Eric.ed.gov – Evaluation of the Computer and Team Assisted Mathematical Acceleration (CATAMA) Lab for Urban, High-Poverty, High Minority Middle Grade Students. Final Report to the Institute of Education Sciences

Posted on by Troels Gannerup Christensen - Læst 21 gange

eric.ed.gov har udgivet: This project entailed a three-year efficacy evaluation of the Computer and Team Assisted Mathematical Acceleration (CATAMA) Lab developed by the Center for Social Organization of Schools at Johns Hopkins University. The CATAMA Lab was proposed as an immediate and practical approach to addressing the different types of math deficits held by students at urban high-poverty schools. The Lab required only 1 teacher per school reducing staff and professional development requirements. It used multiple instructional techniques (including individualized computer instruction, direct instruction, pair and team learning, and individual instruction) to teach math concepts and skills. By taking the place of an elective it allowed students to continue with their on-grade math class. For a more detailed description of the Lab see Appendix 2. The original goal of the… Continue Reading →

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tandfonline.com – Supporting Computational Apprenticeship Through Educational and Software Infrastructure: A Case Study in a Mathematical Oncology Research Lab

Posted on by Troels Gannerup Christensen - Læst 7 gange

tandfonline.com har udgivet en rapport under søgningen “Teacher Education Mathematics”: ABSTRACT ABSTRACT There is growing awareness of the need for mathematics and computing to quantitatively understand the complex dynamics and feedbacks in the life sciences. Although several institutions and research groups are conducting pioneering multidisciplinary research, communication and education across fields remain a bottleneck. The opportunity is ripe for using education research-supported mechanisms of cross-disciplinary training at the intersection of mathematics, computation, and biology. This case study uses the computational apprenticeship theoretical framework to describe the efforts of a computational biology lab to rapidly prototype, test, and refine a mentorship infrastructure for undergraduate research experiences. We describe the challenges, benefits, and lessons learned, as well as the utility of the computational apprenticeship framework in supporting computational/math students learning and contributing… Continue Reading →