College calculus plays an important role in STEM students' degree and career aspirations. One of the key factors considered in assessing a student's ability to be successful in calculus is their proficiency in topics from prior mathematics courses such as algebra and precalculus. This study set out to examine the impact of students' precalculus…

The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…

Given the significant role that academic self-concept plays in students' learning, understanding the psychological processes involved in its formation continues to be an important focus of enquiry. There is strong empirical support for two major models of academic self-concept (ASC) formation: the big-fish-little-pond (BFLP) model and the…

Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…

Dimensional comparisons are comparisons of one's accomplishments between two domains (e.g., comparisons between math and verbal achievements) that affect our self-perceptions in the domains compared with each other. In particular, dimensional comparisons explain the seemingly paradoxical finding, described in the internal/external frame of…

This article details the adaptation of the FOCUS (Fundamentals of Conceptual Understanding and Success) model (Mireles, Acee, & Gerber, 2014) implemented to improve student success in general education and developmental mathematics at a four-year rural university. The model has been demonstrated successful when implemented at a four-year large…

This study aims to compare the performances of the artificial neural network, decision trees and discriminant analysis methods to classify student achievement. The study uses multilayer perceptron model to form the artificial neural network model, chi-square automatic interaction detection (CHAID) algorithm to apply the decision trees method and…

Pandemic-related policies are typically developed by districts and translated to all schools for implementation. Understanding the degree to which the pandemic impacted school-level performance would provide additional perspective for researchers looking to help district and school officials move forward. The main purpose of this study is to…

This article explores the associations between the achievement of economically disadvantaged students and the presence of state policies that include student achievement in teacher evaluations. We looked at student achievement across all 50 states from 2007 through 2013. A simple comparison of states with and without the policy suggested that…

A mathematical client-driven task known as Model-Eliciting Activities was implemented with students of different levels of achievement (i.e., low, average, and high) at the high-school level. The study strived to prove that Model-Eliciting Activities can be solved by students at any achievement level and be used as an assessment tool. Students…

Teacher quality, along with the school context, classroom practice, and student mathematics achievement, are the key components in Clarke and Hollingsworth's (2002) model that depicts teachers' professional growth as an ongoing, dynamic, and interactive enterprise. Comfort and preparedness are dispositions that, along with teacher knowledge, are…

Preparing students placing into developmental mathematics for success in undergraduate mathematics and preparing future teachers for the increasing demands of K-12 school settings are both persistent, yet seemingly divergent, problems facing higher education. In this paper, we shed light on a model that attempts to address aspects of each problem…

The 2I/E model is an extension of Marsh's (1986) classical internal/external frame of reference (I/E) model. Whereas the classical I/E model describes the formation of academic self-concept by the joint operation of social (external) and dimensional (internal) comparisons, the 2I/E model integrates temporal comparisons as an additional internal…

This study aims at testing the generalisability of Marsh's Internal/External (I/E) frame of reference model as well as its Dimensional Comparison Theory (DCT) extension in a sample of United Arab Emirates (UAE) high school students. Relationship between self-concept and achievement in Arabic, English and mathematics were explored. A sample of 990…

The purpose of this study was to assess the effectiveness of Uncommon Schools in a turnaround setting. Uncommon was awarded a 2016 grant from the U.S. Department of Education's Investing in Innovation Fund (i3) to support TurnNJ, a project intended to support Uncommon's whole-school turnaround efforts in Camden and Newark, New Jersey. The study…