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Price, Richard; Dunagan, Alana – Clayton Christensen Institute for Disruptive Innovation, 2019
Whirlwind growth in the technology sector has led to heightened demand for workers with specialized skills in coding and computer science. Projections for continued expansion of the sector feed a persistent fear that traditional educational offerings won't generate enough graduates with the skills the economy demands. Bootcamps focused on coding…
Descriptors: Computer Science Education, Program Length, Higher Education, Federal Aid
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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Sondag, Tyler; Pokorny, Kian L.; Rajan, Hridesh – ACM Transactions on Computing Education, 2012
Students in all areas of computing require knowledge of the computing device including software implementation at the machine level. Several courses in computer science curricula address these low-level details such as computer architecture and assembly languages. For such courses, there are advantages to studying real architectures instead of…
Descriptors: Programming Languages, Computer Simulation, Computer Graphics, Computer Interfaces
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Kinnunen, Paivi; Simon, Beth – Computer Science Education, 2012
This article provides insight into how computing majors experience the process of doing programming assignments in their first programming course. This grounded theory study sheds light on the various processes and contexts through which students constantly assess their self-efficacy as a programmer. The data consists of a series of four…
Descriptors: Grounded Theory, Majors (Students), Assignments, Self Efficacy
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Miller, L. D.; Soh, Leen-Kiat; Samal, Ashok; Nugent, Gwen – International Journal of Artificial Intelligence in Education, 2012
Learning objects (LOs) are digital or non-digital entities used for learning, education or training commonly stored in repositories searchable by their associated metadata. Unfortunately, based on the current standards, such metadata is often missing or incorrectly entered making search difficult or impossible. In this paper, we investigate…
Descriptors: Computer Science Education, Metadata, Internet, Artificial Intelligence
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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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Kumar, R.; Rose, C. P. – IEEE Transactions on Learning Technologies, 2011
Tutorial Dialog Systems that employ Conversational Agents (CAs) to deliver instructional content to learners in one-on-one tutoring settings have been shown to be effective in multiple learning domains by multiple research groups. Our work focuses on extending this successful learning technology to collaborative learning settings involving two or…
Descriptors: Educational Technology, Computer Software, Computer Software Evaluation, Programming
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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)