2008 38th Annual Frontiers in Education Conference 2008
DOI: 10.1109/fie.2008.4720456
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Introducing data mining techniques and software engineering to high school science students

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Cited by 5 publications
(3 citation statements)
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“…Lessons developed by students, faculty, and teachers are discussed in the literature [6][7][8][9][10].…”
Section: Related Workmentioning
confidence: 99%
“…Lessons developed by students, faculty, and teachers are discussed in the literature [6][7][8][9][10].…”
Section: Related Workmentioning
confidence: 99%
“…A related effort at the University of Cincinnati, NSF Project STEP [5], places engineering graduate fellows into high school STEM classrooms for intensive interaction with students and teachers. Lessons developed by students, faculty, and teachers are discussed in the literature [7][8][9][10][11].…”
Section: Related Workmentioning
confidence: 99%
“…This is being done to scale up analysis capacity [2] of graduating students, towards Industry 4.0 jobs. Data mining is the identification of interesting structure in data [3,4] towards knowledge discovery or insight. Unlike some approaches [5,6], the objective here is not to create a new course on data-mining towards industry 4.0 but to distribute these concepts across many courses by providing examples that fit within the context of mechanical engineering undergraduate curriculum.…”
Section: Motivationmentioning
confidence: 99%