engleski

LEARNING STYLE AND STUDENT SUCCESS IN AN AUTOMATIC IDENTIFICATION AND DATA CAPTURE COURSE

⎯Industrial Technology (IT) 345, a junior-level course at Purdue University, has been assessing students’ learning styles every semester since spring 2008 to understand how to best send information to the student. IT 345 is a hands- on, lecture, and laboratory course on the subject of automatic identification and data capture technology including barcodes, scanning technology, card technology, and biometric technology. The Index of Learning Styles (ILS) questionnaire by Felder and Silverman was administered to assess students’ learning styles and categorize students according to their learning style as active/reflective, sensing/intuitive, visual/auditory, or sequential/global learners. The goals of this paper are to understand the categories of students that perform well in the course and whether the teaching methods and the media used to deliver this information are sufficiently universal to satisfy all students.

automatic identification and data capture; index of learning styles; industrial technology; student success

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