Objective/Research Question: This paper reports on data collected in a multi-year National Science Foundation grant project involving a professional development (PD) model built to support community college faculty as change agents (CAs). The research question was: How do disciplinary communities of practice (CoP) emerge among community college…

Purpose: The purpose of this paper is to gather elements to propose a sustainability assessment tool (SAT) to be used in higher education institutions (HEIs) in Brazil and the related program to be created for SAT dissemination and HEI monitoring, publication of results and benchmarking. Design/methodology/approach: The characteristics of eight…

The purpose of this ITEMS module is to provide an introduction to differential item functioning (DIF) analysis using mixture item response models. The mixture item response models for DIF analysis involve comparing item profiles across latent groups, instead of manifest groups. First, an overview of DIF analysis based on latent groups, called…

Many interventions are characterized by repeated observations on the same individuals (e.g., baseline, mid-intervention, two to three post-intervention observations), which offer the opportunity to consider differences in how individuals vary over time. Effective interventions may not be limited to changing means, but instead may also include…

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…

We propose that machine-learned computational models (MLCMs), in which the model parameters and perhaps even structure are learned from data, can complement extant approaches to the study of text and discourse. Such models are particularly useful when theoretical understanding is insufficient, when the data are rife with nonlinearities and…

Contemporary architecture teaching in Colombia still resembles the traditional master-apprentice model, which is also common in many parts of the world. The model of regular curricular focus on classroom-based modules where theory and practice are predominantly disengaged, leaving the students to make their connections. Students that learnt with…

Testing organizations are faced with increasing demand to provide subscores in addition to the total test score. However, psychometricians argue that most subscores do not have added value to be worth reporting. To have added value, subscores need to meet a number of criteria: they should be reliable, distinctive, and distinct from each other and…

Background: Individual patient data (IPD) meta-analysis allows for the exploration of heterogeneity and can identify subgroups that most benefit from an intervention (or exposure), much more successfully than meta-analysis of aggregate data. One-stage or two-stage IPD meta-analysis is possible, with the former using mixed-effects regression models…

In this study, we propose aggregating test scores with unidimensional within-test structure and multidimensional across-test structure based on a 2-level, 1-factor model. In particular, we compare 6 score aggregation methods: average of standardized test raw scores (M1), regression factor score estimate of the 1-factor model based on the…

Age of acquisition (AoA) is a measure of word complexity which refers to the age at which a word is typically learned. AoA measures have shown strong correlations with reading comprehension, lexical decision times, and writing quality. AoA scores based on both adult and child data have limitations that allow for error in measurement, and increase…

The problem of this project study was that middle school teachers in a public school district in southwestern United States did not understand the principals' expectations for implementing the team model and its effect on their relationship with administrators the team model regarding the relationship between administrators and teachers. The…

Linguistic alignment--the contingent reuse of our interlocutors' language at all levels of linguistic structure--pervades human dialogue. Here, we design unique measures to capture the degree of linguistic alignment between interlocutors' linguistic representations at three levels of structure: lexical, syntactic, and semantic. We track these…

Dialogic education has become increasingly appealing due to the recognized value of dialogue for the development of students' thinking and knowledge. Yet, its appeal has not catalysed widespread adoption of dialogic education in classrooms due partly to teachers' uncertainty over the conceptualization of dialogic education and the presence of…

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…