| Measuring conceptual understanding: a case study |
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Conference On Information Technology Education (formerly CITC)
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Proceedings of the 9th ACM SIGITE conference on Information technology education
table of contents
Cincinnati, OH, USA
SESSION: Session 1.1
table of contents
Pages 11-16
Year of Publication: 2008
ISBN:978-1-60558-329-7
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Authors
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Steven Rigby
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Brigham Young University - Idaho, Rexburg, ID, USA
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Melissa J. Dark
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Purdue University, West Lafayette, IN, USA
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J. Ekstrom
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Brigham Young University, Provo, UT, USA
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Marcus Rogers
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Purdue University, West Lafayette, IN, USA
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ABSTRACT
IT Educators are challenged with the task of providing learning experiences that helps learners build abstract mental models of IT concepts to help solve the complex, ill-defined problems they will face. But of the many instructional strategies discussed in the literature how can we tell which methods are better for the different types of IT knowledge presented. Can we assess how well different instructional strategies affect student's conceptual understanding of IT concepts? This descriptive study examined one possible way of measuring conceptual understanding of a specific learning activity called Model Eliciting Activates (MEAs).
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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