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Rollins, Derrick, Sr. – Chemical Engineering Education, 2017
Statistical inference simply means to draw a conclusion based on information that comes from data. Error bars are the most commonly used tool for data analysis and inference in chemical engineering data studies. This work demonstrates, using common types of data collection studies, the importance of specifying the statistical model for sound…
Descriptors: Data Analysis, Statistical Inference, Chemical Engineering, Models
Zseby, Tanja; Iglesias Vázquez, Félix; King, Alistair; Claffy, K. C. – IEEE Transactions on Education, 2016
This paper presents a network security laboratory project for teaching network traffic anomaly detection methods to electrical engineering students. The project design follows a research-oriented teaching principle, enabling students to make their own discoveries in real network traffic, using data captured from a large IP darkspace monitor…
Descriptors: Teaching Methods, Information Security, Information Networks, Computer Networks
Chen, Weiyu; Brinton, Christopher G.; Cao, Da; Mason-Singh, Amanda; Lu, Charlton; Chiang, Mung – IEEE Transactions on Learning Technologies, 2019
We study learning outcome prediction for online courses. Whereas prior work has focused on semester-long courses with frequent student assessments, we focus on short-courses that have single outcomes assigned by instructors at the end. The lack of performance data and generally small enrollments makes the behavior of learners, captured as they…
Descriptors: Online Courses, Outcomes of Education, Prediction, Course Content
Fry, Rick; Kennedy, Brian; Funk, Cary – Pew Research Center, 2021
For this report, the authors analyzed federal government data to look at gender, racial and ethnic diversity among those employed in and earning degrees in science, technology, engineering and math (STEM). Analysis of the STEM workforce is based solely on occupation, using data from the U.S. Census Bureau's 1990 and 2000 U.S. decennial censuses…
Descriptors: Gender Differences, Racial Differences, Disproportionate Representation, Federal Government
Toye, George; Sheppard, Sheri; Chen, Helen L. – Advances in Engineering Education, 2016
The Academic Pathway Study (APS) research program within National Science Foundation (NSF) Center for Advancement of Engineering Education (CAEE) ran from 2003-2010. It amassed a collection of longitudinal as well as cross-sectional data sets, of varying research method types and formats, from four different primary cohorts that included over…
Descriptors: Engineering Education, Longitudinal Studies, Research Methodology, Case Studies
Braun, D. – IEEE Transactions on Education, 2010
Laboratory courses represent an incompletely tapped opportunity to teach sustainability concepts. This work introduces and evaluates a simple strategy used to teach sustainability concepts in electrical engineering laboratory courses. The technique would readily adapt to other disciplines. The paper presents assessment data and a wiki containing…
Descriptors: Engineering, Data Analysis, Sustainability, Electronics
Clayson, Ashley – Journal of STEM Education: Innovations and Research, 2011
Much research has been conducted in the past decade and a half on the effectiveness of Laboratory for Innovative Technology and Engineering Education (LITEE) Case Studies in engineering education. A case study, as defined in this study context, is an online, multimedia tool designed to bring real-world problems into the classroom. Much past and…
Descriptors: Engineering Education, World Problems, Educational Improvement, Ecology
Dixon, Raymond A.; Lammi, Matthew – Journal of Technology Education, 2014
The primary goal of this paper is to present the theoretical basis and application of two types of cognitive maps, concept map and mind map, and explain how they can be used by educational researchers in engineering design research. Cognitive mapping techniques can be useful to researchers as they study students' problem solving strategies…
Descriptors: Cognitive Mapping, Concept Mapping, Engineering Education, Technology Education
Kim, Jihie; Shaw, Erin; Xu, Hao; Adarsh, G. V. – International Educational Data Mining Society, 2012
In this paper we examine the collaborative performance of undergraduate engineering students who used shared project documents (Wikis, Google documents) and a software version control system (SVN) to support project collaboration. We present an initial implementation of TeamAnalytics, an instructional tool that facilitates the analyses of the…
Descriptors: Undergraduate Students, Engineering Education, Teamwork, Group Activities
Reiser, Brian J.; Berland, Leema K.; Kenyon, Lisa – Science and Children, 2012
"A Framework for K-12 Science Education" identifies eight science and engineering practices for K-12 classrooms. These practices, along with core ideas and crosscutting concepts, define the nation's learning goals for science. An important advance from earlier standards (AAAS 1993, NRC 1996), these practices are clearly identified "not" as…
Descriptors: Thinking Skills, Persuasive Discourse, Elementary Secondary Education, Science Instruction
Weyten, L.; Rombouts, P.; De Maeyer, J. – IEEE Transactions on Education, 2009
A Web-based system for training electric circuit analysis is presented in this paper. It is centered on symbolic analysis techniques and it not only verifies the student's final answer, but it also tracks and coaches him/her through all steps of his/her reasoning path. The system mimics homework assignments, enhanced by immediate personalized…
Descriptors: Foreign Countries, Equipment, Electronics, Web Based Instruction
Carbo, Antonio Domenech; Adelantado, Jose Vicente Gimeno; Reig, Francisco Bosch – Online Submission, 2010
Misconceptions of chemistry and chemical engineering university students concerning instrumental analysis have been established from coordinated tests, tutorial interviews and laboratory lessons. Misconceptions can be divided into: (1) formal, involving specific concepts and formulations within the general frame of chemistry; (2)…
Descriptors: Chemistry, Chemical Engineering, Misconceptions, Science Instruction
Hunt, Jennifer – National Bureau of Economic Research, 2010
I use the 1993 and 2003 National Surveys of College Graduates to examine the higher exit rate of women compared to men from science and engineering relative to other fields. I find that the higher relative exit rate is driven by engineering rather than science, and show that 60% of the gap can be explained by the relatively greater exit rate from…
Descriptors: Engineering, Technical Occupations, Females, Incidence
Vialardi, Cesar; Bravo, Javier; Shafti, Leila; Ortigosa, Alvaro – International Working Group on Educational Data Mining, 2009
One of the main problems faced by university students is to take the right decision in relation to their academic itinerary based on available information (for example courses, schedules, sections, classrooms and professors). In this context, this work proposes the use of a recommendation system based on data mining techniques to help students to…
Descriptors: Data Analysis, Higher Education, Course Selection (Students), Enrollment
Paideya, V.; Sookrajh, R. – South African Journal of Higher Education, 2010
Many under-prepared university students do not know how to study (Martin and Arendale 1993) because they have not yet developed the abstract reasoning skills that allow them to learn new ideas simply by reading a text or listening to a lecture. This article draws from selected findings from a PhD study currently being undertaken at a university in…
Descriptors: Video Technology, Stoichiometry, Intervention, Focus Groups
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