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Jang, Eunice Eunhee; Lajoie, Susanne P.; Wagner, Maryam; Xu, Zhenhua; Poitras, Eric; Naismith, Laura – Journal of Educational Computing Research, 2017
Technology-rich learning environments (TREs) provide opportunities for learners to engage in complex interactions involving a multitude of cognitive, metacognitive, and affective states. Understanding learners' distinct learning progressions in TREs demand inquiry approaches that employ well-conceived theoretical accounts of these multiple facets.…
Descriptors: Educational Technology, Technology Uses in Education, Simulation, Patients
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Park, Daeun; Gunderson, Elizabeth A.; Tsukayama, Eli; Levine, Susan C.; Beilock, Sian L. – Journal of Educational Psychology, 2016
Although students' motivational frameworks (entity vs. incremental) have been linked to academic achievement, little is known about how early this link emerges and how motivational frameworks develop in the first place. In a year-long study (student N = 424, Teacher N = 58), we found that, as early as 1st and 2nd grade, children who endorsed an…
Descriptors: Young Children, Mathematics Achievement, Teaching Methods, Intelligence
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Shim, Sungok Serena; Cho, YoonJung; Cassady, Jerrell – Journal of Experimental Education, 2013
This study investigated how teachers' achievement goals for teaching and implicit theories of their students' intelligence are associated with the goal structures that they create in their classrooms. Teachers ("N" = 209) reported their achievement goals for teaching (mastery, performance-approach goals, and performance-avoidance goals),…
Descriptors: Intelligence, Theories, Expectation, Goal Orientation