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Shuyuan Yu – ProQuest LLC, 2022
Analogy is a powerful learning mechanism for children to learn novel, abstract concepts from only limited input, yet also requires cognitive supports. My dissertation sought to propose and examine number lines as a mathematical schema of the number system to facilitate both the development of rational number understanding and analogical reasoning.…
Descriptors: Logical Thinking, Mathematical Logic, Mathematics Instruction, Visual Aids
Cavalluzzo, Linda; Geraghty, Thomas M.; Steele, Jennifer L.; Holian, Laura; Jenkins, Frank; Alexander, Jane M.; Yamasaki, Kelsey Y. – CNA Corporation, 2014
The purpose of this study is to evaluate, using a randomized experimental design, the efficacy of TERC's "Using Data" program to change teacher behavior and improve student learning outcomes. The "Using Data" intervention provides professional development and technical assistance to teachers to help them use data…
Descriptors: Data, Program Effectiveness, Faculty Development, Intervention
Gillan-Sanderson, Nicole A. – ProQuest LLC, 2012
This study describes a procedure one school district used to increase students' reading abilities through reviewing data and adjusting the instruction to give students intensive services, as needed. This school worked in a problem-solving team approach to develop a comprehensive team that followed the progression of student achievement.…
Descriptors: Reading Instruction, Academic Achievement, Reading Achievement, Reading Improvement
Hess, Robert T.; Robbins, Pam – Corwin, 2012
Using data for school improvement is a key goal of Race to the Top, and now is the time to make data-driven school improvement a priority. However, many educators are drowning in data. Boost your professional learning community's ability to translate data into action with this new book from Pam Robbins and Robert T. Hess. "The Data Toolkit"…
Descriptors: Data, Educational Improvement, Educational Change, Teamwork
Cetintas, Suleyman; Si, Luo; Xin, Yan Ping; Hord, Casey – International Working Group on Educational Data Mining, 2009
This paper proposes a learning based method that can automatically determine how likely a student is to give a correct answer to a problem in an intelligent tutoring system. Only log files that record students' actions with the system are used to train the model, therefore the modeling process doesn't require expert knowledge for identifying…
Descriptors: Programming, Evidence, Intelligent Tutoring Systems, Regression (Statistics)