Teaching students statistical programming languages while simultaneously teaching them how to debug erroneous code is challenging. The traditional programming course focuses on error-free learning in class while students' experiences outside of class typically involve error-full learning. While error-free teaching consists of focused lectures…

The study of mind-wandering is popular since it is linked to the emotional problems and working/learning performance. In terms of education, it impacts comprehension during learning which affects academic success. Therefore, we sought to develop a machine learning model for an embedded portable device that can categorize mind-wandering state to…

In recent years technology has changed dramatically. Due to the increasing need and accessibility of technology, it has expanded the toolbox and provides opportunities to the teachers for using technology. Computer devices are considered to be the more powerful tools which have come in various forms. The internet helps connect those devices and…

This dissertation is about designing learning environments that foreground students' epistemic agency as they "do science" in a science classroom. I build on the prior work that combines two important strands in learning sciences - agent-based modeling of complex systems and constructionism to design learning environments. I call such…

A high number of cyber breaches in organizations occur as a result of email phishing attempts. Research has shown that cyber education has a positive impact in user awareness of attack methods resulting in the reduction of compromises from email phishing attempts. However, in some instances, cyber education does not have a positive impact on the…

This dissertation examines how analog and digital history games complicate and challenge the dominant discourse of teaching American History through Texas state high school-focused texts and these texts complicity in suppressing non-normative histories. These histories are formed at the intersection of political, social, and cultural power…

The problem addressed in this study is that the potential roles of an artificial intelligence-enhanced chatbot using big data in e-learning in higher education were not widely documented in the research community. The purpose of this qualitative case study was to explore the potential roles of an artificial intelligence-enhanced chatbot using big…

Pronunciation is often not given the attention it deserves in the foreign language classroom, especially as research continues to show that poor pronunciation can impede communication (Agostinelli, 2012; Arteaga, 2000). Recent attempts have been made to determine the utility of technology for the purposes of acquiring another language;…

This study evaluated how students enrolled in a comprehensive post-secondary transition program learned how to use text-to-speech (TTS) software to read higher-level written text. Using a pre- and post-test research design, researchers examined whether direct instruction effectively taught students to use a TTS program. We used third and…

The article suggests that the non-destructive editing features of the Digital Audio Workstation (DAW) can be useful for communication centers and for the support of multimodal assignments because they can promote greater attention to sound. The turn to the DAW is situated in a tradition of embracing sonic technologies for pedagogical purposes…

One educational technology that is worth a look is Google's G-Suite for Education (GS-E). Google has invested a great deal in GS-E and publicizes it as a full-fledged member of Google's family of suites. GS-E comprises Classroom, which acts as the course hub, while the entire suite of other Google products such as Docs, Calendar, Sheets, Hangouts,…

This contribution shows a simple implementation of Monte Carlo simulation method when presenting Bayes' rule. The implementation is carried out in the environment of Microsoft Excel spreadsheets by means of a generator of random numbers. The empiric results gained by simulation serve to confirm the correctness of the chosen procedures in…

This article provides an overview of the R package lsasim, designed to facilitate the generation of data that mimics a large scale assessment context. The package features functions for simulating achievement data according to a number of common IRT models with known parameters. A clear advantage of lsasim over other simulation software is that…

Multilevel modeling is a statistical approach to analyze hierarchical data, which consist of individual observations nested within clusters. Bayesian methods is a well-known, sometimes better, alternative of Maximum likelihood methods for fitting multilevel models. Lack of user-friendly and computationally efficient software packages or programs…

This paper investigates the role of teacher agency for those who were trained in using an innovative Geographic Information Systems (GIS) approach and incorporated GIS into their teaching. While national curricula increasingly emphasise STEM and sustainability approaches, there has been limited analysis of how teachers can bring new software,…