The purpose of this study was to evaluate the effectiveness of training plus Practice-Based Coaching (PBC), delivered via text message, on teacher use of targeted Pyramid Model (PM) practices. A multiple baseline design across behaviors was replicated across three early childhood teachers. Following training on self-selected target practices, the…

Rural schools face unique challenges providing high-quality professional development opportunities due to barriers such as geographic isolation and limited resources. This article provides information on three coaching models, eCoaching, iCoaching, and teacher dyad coaching. Each model has the potential to leverage technology to ameliorate…

Bridging Mental Health and Education (BRIDGE) is an evidence-based model for embedding teacher consultation and coaching activities into school-based mental health clinicians' regular workflow. Here we describe the process of adapting BRIDGE in partnership with a large urban school district and a local managed care organization during a…

Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Yet, few novice-oriented ML modeling tools are designed to foster hands-on learning of dataset design practices, including how to design for data diversity and inspect…

Background: Behavioural intention (BI) has been predicted using other variables by adopting the technology acceptance model (TAM). However, few studies have examined whether BI can predict learning performance. Objectives: The present study used an extended TAM to investigate whether students' BI is a predictor of their listening learning…

Kaggle is a data modeling competition service, where participants compete to build a model with lower predictive error than other participants. Several years ago they released a simplified service that is ideal for instructors to run competitions in a classroom setting. This article describes the results of an experiment to determine if…

The current paper conducted a critical analysis on the studies that have been carried out in both developing and developed countries regarding the adoption of e-learning technology based on the Unified Theory of Acceptance and Use of Technology (UTAUT2). The findings indicated that the UTAUT2 model is highly influential for all the models such as…

This work proposes a dropout prediction approach that is able to self-adjust their outcomes at any moment of a degree program timeline. To that end, a rule-based classification technique was used to identify courses, grade thresholds and other attributes that have a high influence on the dropout behavior. This approach, which is generic so that it…

Over the years, the Unified Theory of Acceptance and Use of Technology (UTAUT) model has been widely adopted for technology research dealing with intention and behavior. More currently, with the advancement of educational technology, the constructs embedded in this model and survey instrument can be easily applied to this setting. The UTAUT draws…

Training School Principals as Talent Developers: An International Perspective focuses on how to prepare school principals to lead their schools by training and supporting teachers in their craft. The main goal of schools is improving teaching and learning in order to maximize students' potential to be college ready and career ready. Principals…

This multiple case study describes a year-long implementation of a research-based coaching model designed to support changes in elementary teachers' technology integration practices. We examined coaches' perceptions of the model through the use of coaches' questionnaires, reflection notes, and meeting notes. Teachers' coaching experiences were…

Textual data, as a key carrier of learning feedback, is continuously produced by many students within course forums. The temporal nature of discussion requires students' emotions and concerned aspects (e.g. teaching styles, learning activities, etc.) to be dynamically tracked for understanding learning requirements. To characterize dynamics of…

Additive Factors Model (AFM) and Performance Factors Analysis (PFA) are two popular models of student learning that employ logistic regression to estimate parameters and predict performance. This is in contrast to Bayesian Knowledge Tracing (BKT) which uses a Hidden Markov Model formalism. While all three models tend to make similar predictions,…

Purpose: The study seeks to investigate the factors that influence MOOC usage by students in tertiary institutes in Ghana. Design/methodology/approach: As this study sought both to test existing UTAUT variables and potentially identify additional variables impacting MOOC usage, a mixed method approach was used. The quantitative study was used to…

Makerspaces are the latest educational movement that may disrupt the "grammar of schooling." Makerspaces may change the ways schools use technology; change the ways schools engage in learning and teaching; and change the forms of learning that count in schools. However, without deliberate professional learning and planning, the glamor of…