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Wurman, Ze'ev; Donovan, William – Pioneer Institute for Public Policy Research, 2020
In the fall of 2019, well before the appearance of COVID-19, there was heightened concern among U.S. business leaders, economists and investors about a global economic slowdown and the possibility of a recession in 2020. But a downturn in the technology sector was not prominent among their worries. In the decade from 2018 to 2028 computer and…
Descriptors: Computer Science Education, Public Schools, Elementary Secondary Education, State Aid
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Howard, A. M.; Park, Chung Hyuk; Remy, S. – IEEE Transactions on Learning Technologies, 2012
The robotics field represents the integration of multiple facets of computer science and engineering. Robotics-based activities have been shown to encourage K-12 students to consider careers in computing and have even been adopted as part of core computer-science curriculum at a number of universities. Unfortunately, for students with visual…
Descriptors: Robotics, Computer Interfaces, Federal Aid, Pilot Projects
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Doerschuk, Peggy; Liu, Jiangjiang; Mann, Judith – ACM Transactions on Computing Education, 2011
If we are to attract more women and minorities to computing we must engage students at an early age. As part of its mission to increase participation of women and underrepresented minorities in computing, the Increasing Student Participation in Research Development Program (INSPIRED) conducts computing academies for high school students. The…
Descriptors: Role Models, Females, Student Participation, High School Students
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Ludi, Stephanie; Reichlmayr, Tom – ACM Transactions on Computing Education, 2011
This article describes an outreach program to broaden participation in computing to include more students with visual impairments. The precollege workshops target students in grades 7-12 and engage students with robotics programming. The use of robotics at the precollege level has become popular in part due to the availability of Lego Mindstorm…
Descriptors: High School Students, Visual Impairments, Middle School Students, Outreach Programs
Cetintas, Suleyman; Si, Luo; Xin, Yan Ping; Hord, Casey – International Working Group on Educational Data Mining, 2009
This paper proposes a learning based method that can automatically determine how likely a student is to give a correct answer to a problem in an intelligent tutoring system. Only log files that record students' actions with the system are used to train the model, therefore the modeling process doesn't require expert knowledge for identifying…
Descriptors: Programming, Evidence, Intelligent Tutoring Systems, Regression (Statistics)