Measuring Curiosity in Introductory Statistics Students
Amy Truong
Co-Author
Cal Poly - California Polytechnic State University
Ella Smith
Co-Author
Cal Poly - California Polytechnic State University
Beth Chance
Co-Author
California Polytechnic State University
Wednesday, Aug 6: 10:30 AM - 12:20 PM
2154
Contributed Posters
Music City Center
Exploring the nature of how students learn Statistics and how instructors can most effectively help them has been a focal point in statistics education research over the past few decades (Carver et al., 2016). While earlier studies focused on different teaching approaches (e.g., Simon et al., 1976; Federer, 1978), cognitive challenges and misconceptions (e.g., Brewer, 1985; Garfield and Ahlgren, 1988), and students' attitudes (e.g., Pavlick, 1975; Gal and Ginsburg, 1994), recent research has shifted toward understanding the motivational aspects of learning statistics, e.g. interest (e.g., Sproesser, 2016), self-efficacy (e.g., Finney and Schraw, 2003), and intrinsic motivation (e.g., Dun, 2014). We aim to explore curiosity as part of intrinsic motivation, recognizing its potential to enhance students' learning (Pluck and Johnson, 2011).
Curiosity–the desire to acquire knowledge–is integral to learning environments that actively engage students when teachers can use specific techniques to evoke curiosity, enriching the learning atmosphere (Schmitt and Lahroodi, 2008). One of the initial focuses of this cross-institutional collaboration is to see whether we can measure curiosity
Curiosity
Statistics Education
Intrinsic Motivation
Learning
Student Engagement
Teaching Environment
Main Sponsor
Section on Statistics and Data Science Education
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