The Role of Situational Interest in Personalized Learning
By Matthew L. Bernacki, Candace A. Walkington. Journal of Educational Psychology, 2018
169 citations recorded by the source corpus.
Context personalization—the incorporation of students’ out-of-school interests into learning tasks—has recently been shown to positively affect students’ situational interest and their performance and learning in mathematics. However, few studies have shown effects on both interest and achievement, drawing into question whether context personalization interventions can achieve both ends. The effects of personalization are theorized to result from activation of students’ prior knowledge of personal interests and generation of situational interest in math tasks, though theorists have begun to question whether situational interest serves as a mechanism by which learning outcomes are achieved. This experimental study examines whether personalizing 4 units of algebra problems that high school students (N = 150) solve in an intelligent tutoring system could improve their performance in units (i.e., accuracy and learning efficiency) and on classroom exams, whether adolescents who solved personalized problems would report greater situational interest in units (and later, individual interest in math) than peers who solved standard problems, and whether paths through situational interest would contribute to effects of personalization on outcomes. High school students in the personalization condition reported greater triggered situational interest in experimental units, and triggered interest predicted in-tutor outcomes (accuracy, learning efficiency). A total effect of personalization was also observed on classroom exam performance and individual interest in mathematics. Implications for theories of interest and context personalization are discussed, as are implications for math instruction and design of personalized learning environments.
Subfields: Education, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/f91073368471fccc522f3578263f297351bbe9c6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
- K. Ann Renninger
- Suzanne Hidi
- Matthew L. Bernacki
- William R. Watson
- Meghan J. Greene
- Nikki G. Lobczowski
- Hamdan A. Alamri
- Sunnie Lee Watson
In Experimental and Cognitive Psychology
- K. Ann Renninger
- Suzanne Hidi
- Matthew L. Bernacki
- William R. Watson
- Hamdan A. Alamri
- Sunnie Lee Watson
- Victoria Lynn Lowell
- Judith M. Harackiewicz
Citations in the corpus
- To Level the Playing Field, Develop Interest (2020, background): “…McDaniel, Waddill, Finstad, & Bourg, 2000), set and realize goals (e.g., Harackiewicz et al., 2008), effectively use learning strategies (e.g., Bernacki & Walkington, 2018), regulate behavior (e.g., Sansone, Thoman, & Fraughton, 2015), feel self-efficacious (e.g., Lee, Lee, & Bong, 2014), and…”
- A Systematic Review of Research on Personalized Learning: Personalized by Whom, to What, How, and for What Purpose(s)? (2021, background): “…context (i.e., passing references to basketball teams and terms vs. selecting a basketball phenomenon that illustrates an equation; Walkington & Bernacki, 2014, 2018), and whether the student should be afforded any ownership of the problem (e.g., the students ’ ability to name a player or…”
- Using personalized learning as an instructional approach to motivate learners in online higher education: Learner self-determination and intrinsic motivation (2020, background): “Similarly research has shown that aligning learning content with student interests results in better learning (Bernacki & Walkington, 2018; Hidi, 1990; Krapp, Hidi, & Renninger, 1992; Walkington, 2013), engagement (Ainley et al., 2002), motivation (Deci & Ryan, 2000), and increases in cognitive and…”
- Interest development, self-related information processing, and practice (2021, background): “Similarly, personalizing the context of problem solving (based on the students’ individual out-of-school interests, such as baseball) has been shown to benefit middle school, high school, and/or college students’ learning of mathematics (e.g., Bernacki & Walkington, 2018).”