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Full-Text Articles in Education
Volume 18, Number 01, G. William Hill Editor, Linda M. Noble Editor, Tom Pusateri Editor
Volume 18, Number 01, G. William Hill Editor, Linda M. Noble Editor, Tom Pusateri Editor
Reaching Through Teaching
Full text of Volume 18, Number 01 of Reaching Through Teaching.
Testing The Test: Item Response Curves And Test Quality, Gary A. Morris, Lee Branum-Martin, Nathan Harshman, Stephen D. Baxter, Eric Mazur, Suvendra Dutta, Taha Mzoughi, Veronica Mccauley
Testing The Test: Item Response Curves And Test Quality, Gary A. Morris, Lee Branum-Martin, Nathan Harshman, Stephen D. Baxter, Eric Mazur, Suvendra Dutta, Taha Mzoughi, Veronica Mccauley
Faculty and Research Publications
We present a simple technique for evaluating multiple-choice questions and their answers beyond the usual measures of difficulty and the effectiveness of distractors. The technique involves the construction and qualitative consideration of item response curves and is based on item response theory from the field of education measurement. To demonstrate the technique, we apply item response curve analysis to three questions from the Force Concept Inventory. Item response curve analysis allows us to characterize qualitatively whether these questions are efficient, where efficient is defined in terms of the construction, performance, and discrimination of a question and its answer choices. This …
Student Perceptions Of Diversity Issues In It, Amy B. Woszczynski, Martha Myers, Janette Moody
Student Perceptions Of Diversity Issues In It, Amy B. Woszczynski, Martha Myers, Janette Moody
Faculty and Research Publications
This study examines student perceptions regarding the desirability of diversity in the IT workplace. Several diversity variables were included: age, disability status, ethnicity, and gender. Participants included upper division students with declared majors in IT fields, as well as upper division students enrolled in an Accounting Information Systems course. We analyzed their perceptions in relation to diversity, along with distinguishing factors influencing the choice of IT as a career. We administered the Diversity Perceptions Inventory (DPI) to 162 undergraduate students from three institutions. Using multivariate analysis of variance, we found no significant differences in a number of areas: gender, age, …