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Large-Scale Studies of Student Understanding and Achievement (Table 38)
Sun, April 14, 1:15 to 2:45pm, Pennsylvania Convention Center, Floor: Level 200, Exhibit Hall BSession Type: Roundtable Session
Abstract
This roundtable highlights a variety of aspects of student learning that all capitalize on large data sets.
Sub Unit
Chair
Papers
Bridging DBIR (Design-Based Implementation Research) and RCT (Randomized Controlled Trial) Approaches to Prepare to Scale-Up Playful Fraction Learning in Kosova - Kreshnik Nasi Begolli, University of California - Irvine; Vanessa Noemy Bermudez, University of California - Irvine; Blerina Tafolli, University of Prishtina; Njomza Selimi, University of Ljubljana; Siling Guo, University of California - Irvine; Andres Sebastian Bustamante, University of California - Irvine; Eda Vula, University of Prishtina
Factors That Influence Math Self-Efficacy and Grade Point Average: Based on Social Influences, Intrinsic Motivation, and Race - Sherilyn Coleman, University of Memphis; Yonghong Jade Xu, University of Memphis
Planning for Mathematics Learning Renewal Among Ontario Students: Comparison of Item-Level Performance Pre- and Post-Pandemic - Margaret Dunlop, Education Quality and Accountability Office; Hyunah Kim, Education Quality and Accountability Office; Jennifer Hove, Education Quality and Accountability Office
The Role of Higher-Order Thinking Skills Instructions in Enhancing Student Achievement and Attitudes Toward Mathematics - Sangmin Park, University of Missouri; Soobin Choi, The Education University of Hong Kong; Se Woong Lee, University of Missouri