The purpose of this three-article dissertation is to better understand the role emerging technologies are playing in learning. This dissertation explores tools on a spectrum of reality from fully immersive virtual reality (VR), semi-immersive VR, non-immersive VR, augmented reality (AR), mixed reality (MR), and extended reality (XR). Three studies…

Digital media and advancements in learning technologies have dramatically reshaped the landscape of K-12 education. By 2018, 96% of public schools had the infrastructure required for digital learning. This dissertation evaluates how augmented reality (AR) and virtual reality (VR) technologies are integrated into K-12 education, focusing on…

Giving feedback has always been the backbone of the English as a Foreign Language (EFL) writing class. Written corrective feedback focuses on responding to students' written work by extensively correcting their errors or offering constructive suggestions for improvements. The process of digitalization of education offered an alternative to…

This mixed-methods study analyzed Technological Pedagogical Content Knowledge (TPACK) learning trajectories of preservice teachers enrolled in an online seven-week long educational technology course. Timeline analysis was used to identify and interpret emerged patterns of learning trajectories. The study suggests that continuous growth of the…

Nursing educators have been asked to incorporate teaching and learning strategies that prepare nursing graduates to work in healthcare environments that require higher levels of thinking and clinical judgment. It is imperative that nurse educators use evidence-based teaching strategies that reflect the actualities of nursing practice. The flipped…

With the development of education technology, Smart classroom has evolved to version 2.0. Currently, the meta-analysis literature on the effects of smart classroom-based instruction on academic achievement ignores the impact of technological changes and time on the effect sizes. This study incorporated the impact of technological changes and time,…

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…

Providing consistent, individualized feedback to teachers is essential for improving instruction but can be prohibitively resource-intensive in most educational contexts. We develop M-Powering Teachers, an automated tool based on natural language processing to give teachers feedback on their uptake of student contributions, a high-leverage…

This study explores ICT profiles of teacher educators to understand personal, pedagogical and organisational factors affecting technology use in teacher education. After delineating latent profiles based on survey data, 12 teacher educators were interviewed on technology integration in educational settings for a deeper insight. Based on the…

The purpose of the current study was to qualitatively explore the home mathematical environment across two regions in two different countries (i.e., Cuba and Mexico), replicating a qualitative study previously conducted in Northern Ireland (NI), United Kingdom (Cahoon et al., 2017). Semi-structured interviews with parents/caregivers of children…

This quantitative causal-comparative study discusses the effectiveness of eLearning tools in Higher Educational Institutions (HEI). Technology acceptance by the teaching faculty and administrative staff plays a vital role in implementing an effective education using eLearning platforms in HEI. The topic focuses on the perspective of a faculty and…

Over the past few decades, online schools have witnessed exponential growth. Nevertheless, the body of research on their effectiveness and viability as educational options for students with disabilities, as well as their offerings for diverse learners, remains surprisingly sparse. This deficiency in evidence is noteworthy, especially as the demand…

The global Coronavirus disease 2019 (COVID-19) pandemic and associated restrictions on indoor gatherings posed considerable challenges to the delivery of courses that traditionally have relied on hands-on learning in their laboratory components. Here, our experiences converting a senior instrumental analysis course to remote online learning in the…

Forty-eight (48) K-12 teachers in two US states completed five repetitions of a 15-minute simulated teaching lesson in which six of their 12 simulated students in a class were labeled as having and were embodied with special learning needs, while the other six were without special learning needs. Analysis of three measures of differential focus in…

Effective personalization of education requires knowing how each student will perform under certain conditions, given their specific characteristics. Thus, the demand for interpretable and precise estimation of heterogeneous treatment effects is ever-present. This paper outlines a new approach to this problem based on the Leave-One-Out Potential…