This study introduces a novel approach for predicting student engagement levels in a language-based AI curriculum. The curriculum was integrated into English Language Arts classrooms, in which 106 students from five classes participated five web-based machine learning and text mining modules for 2 weeks. Sentiment and categorical analyses,…

Computational thinking (CT) is a fundamental ability for learners in today's society. Although CT assessments and interventions have been studied widely, little is known about CT predictions. This study predicted students' CT achievement in the ICILS 2018 using five machine learning models. These models were trained on the data from five European…

The AIM process is a strategic planning process for school districts to create Comprehensive Health and Wellness Plans (CHWPs) aligned with the Whole School, Whole Community, Whole Child model. The purpose of this study is to describe results of this process as it was implemented with 21 rural school districts. An 81-item survey was completed by…

Detecting wheel-spinning behaviors of students who interact with an Intelligent Tutoring System (ITS) is important for generating pertinent and effective feedback and developing more enriching learning experiences. This analysis compares decision tree and bagged tree models of student productive persistence (i.e., mastering a skill) using the…

In Bayesian structural equation modeling (BSEM), prior settings may affect model fit, parameter estimation, and model comparison. This simulation study was to investigate how the priors impact evaluation of relative fit across competing models. The design factors for data generation included sample sizes, factor structures, data distributions, and…

Scoring of teachers' noticing responses is typically burdened with rater bias and reliance upon interrater consensus. The authors sought to make the scoring process more objective, equitable, and generalizable. The development process began with a description of response characteristics for each professional noticing component disconnected from…

This paper will demonstrate how we used state-level longitudinal data to model reading growth trajectories. Using data from large scale assessments that were vertically linked across grades in Hawaii, we utilized a multilevel regression framework to develop growth models to study students' reading performance trajectories during their elementary…

Due to the complexity of latent transition analysis (LTA) model structure and qualitative decision making in LTA, power analysis has less been reported and studied. Baldwin (2015) and Gudicha, et al., (2016) recently reported results about power analysis in LTA, which included useful information. On the other hand, both studies are limited in the…

This study proposes a strategic model that schools can adapt their goals and pace of innovation to meet different needs and challenges in their school settings. Based on literature review, field visits, one-on-one and focus group interviews with primary and secondary school teachers and principals, and expert consultations, the model consists of…

This paper explores school development processes in four schools in challenging circumstances. These schools were selected from a sample of schools in a longitudinal mixed-method study over a five-year period of around 100 schools using a typology of different models of change over time. The paper presents first selected findings from the overall…

This mixed methods study examined the impact of using untethered lecture capture (ULC) as an instructional technology with preservice teacher educators, both on learning experiences as students and confidence using technology as teachers. Results found statistically significant (p < 0.05) increases in confidence in using technology as a…

Background: Literature in the field of school leadership substantiates principals' influence on student achievement. There is less clarity about principals' influence on school turnaround or the competencies needed for principals to effectively turn around schools. Research Design: A two-phase, mixed-methods study design analyzed 41 behavioral…

A predictive model for the USMLE Step 1 was created based on NBME Comprehensive Basic Sciences Self-Assessment (CBSSA) exams. All second year medical students at a southwestern university from 2014-2016 took a NBME CBSSA exam under controlled testing conditions six months (January) and three months (April) prior to their Step 1. A multiple…

To support our understanding of how we might support the use of modeling in PBL activities for classroom use, this study explores how to scaffold collaborative scientific modeling activities. It draws on prior work with scientific modeling centered on the use of the Component-Mechanism-Phenomenon (CMP) conceptual framework (Hmelo-Silver et al.,…

Food and food concerns within the context of higher education have been under-researched, despite that food is essential and should be a basic provision for all. This theoretical paper advocates for the adoption of a transformative paradigm in researching food concerns at the university and makes an appeal to conduct research that promotes and is…