Article exploring how information and knowledge are absorbed by utilizing Constructor Theory and the Substrate-Independence Theory.

This article is an introduction to the special issue Assistive Technology Services During and After the COVID-19 Pandemic, which was created to provide a historical record of the impact of the COVID-19 pandemic on the provision of assistive technology services in schools.

Article presents a study employing multi-mode stimuli of learners’ eye movements and feedforward that aims to develop the effect of Stimulated Recall (SR) on activating learners’ metacognition in remote settings.

Paper presented at the 2019 ASEE Annual Conference & Exposition. The research presented studies achievement scores and affinity towards STEM scores of male and female students after participating in a unit focused on understanding a solenoid.

Article investigating the use of information and communication technologies (ICTs) in education. To investigate this issue, the technology adoption and gratification (TAG) model was validated and used to examine Malaysian university teachers' adoption and gratification of ICT for teaching and research purposes and then used to investigate the moderating effect of universities in different regions. This paper confirms the utility of the TAG model for comparing teachers' adoption and gratification of ICT.

Article providing a review of the recent research literature on personalized learning as technology is changing how learning can be effectively personalized. The emphasis is on the terms used to characterize learning as those can suggest a framework for personalized and will eventually be used in meta-analyses of research on personalized learning.

Article reviews opportunities for novel brain-behavior characterizations. Emphasis is placed on the increasing concern of neuropsychology with these topics and the need for development in these areas to maintain relevance as a scientific discipline and advance scientific developments.

Article examines K-12 students and parents in the United States’ experiences and challenges during the sudden shift to distance learning during the COVID19 crisis. This article is part of the special issue: Learning and learning ecosystems in the time of Covid-19.

This article presents a study that examined how three auditory lectures delivered at different speeds – normal (1.0x), fast (1.5x) and very fast (3.0x) speeds – affected graduate students’ attention, cognitive load, and learning.

Article studies information and communication technology (ICT) in tertiary education. This article is part of the special collection: Educational Psychology & Counseling, Educational Psychology.

Article investigates Massive Open Online Courses (MOOC) impact on participants' actual practices.

This article covers the challenges brought about for teachers and learners from transitioning to online education due to the COVID-19 pandemic. The authors reflect on these challenges based on discussions at EDUsummIT2019 in Quebec about the theme “Learners and learning contexts: New alignments for the digital age." Informed by theoretical conceptualization and empirical evidence the authors identify micro-meso-macro alignments that need to be in place to move education into the digital age: alignments for quality learning contexts, alignments in support for teachers, and alignments through partnerships.

This article is a review of literature for skills comprised within the Accreditation Board of Engineering and Technology (ABET) criteria determined 26 topics necessary for the entry-level and continued success of engineers. The findings suggest that although entry-level engineers have proficiency in all of these ABET required skills, the entry-level engineers were not meeting the level of importance expressed by the organization for 24 of these 26 skills.

This article discusses ethical issues involved in the clinical use of novel technologies.

This article provides a content analysis of studies from 2010 to 2020 aiming to disclose how artificial intelligence (AI) has been applied to the education sector and explore the potential research trends and challenges of AI in education. The content analysis shows that the research questions can be classified into development layer (classification, matching, recommendation, and deep learning), application layer (feedback, reasoning, and adaptive learning), and integration layer (affection computing, role-playing, immersive learning, and gamification).

This article explores networked learning technologies and the development of Massive Online Open Courses (MOOCs). The study examines and explains hybrid MOOCs and focuses on the use of bot-teachers within a post-humanist perspective. The research findings reveal that, while the use of bot-teachers is beneficial in terms of facilitating and increasing discourse/interaction, it is ineffective in providing other components of teaching presence. Yet ultimately, learners' positive behaviors indicate that bot-teachers hold promise as an educational tool.

This article seeks to support researchers by concisely reviewing key statistical assumptions associated with substantive statistical tests across the general linear model. Additionally, the article reviews techniques to check for statistical assumptions and identifies remedies and problems if data do not meet the necessary assumptions.

Article evaluates the impact of new media on scientific literacy. Content analysis with a coding scheme was performed on 42 filtered websites and 20 microblogs to analyze the role of new media in disseminating scientific knowledge. The results showed that the quality of science-oriented websites was higher than that of microblogs. Suggestions about how to improve the quality of science-oriented new media and how to develop students’ scientific literacy through new media are also discussed.

In this article, a topic model was explored using unsupervised machine learning to summarized free-text narrative reports of 77,215 injuries that occurred in coal mines in the USA between 2000 and 2015. Latent Dirichlet Allocation modeling processes identified six topics from the free-text data. The modeling success enjoyed in this exploratory effort suggests that additional topic mining of these injury text narratives is justified, especially using a broad set of covariates to explain variations in topic emphasis and for comparison of surface mining injuries with injuries occurring during site preparation for construction.

Article describes study investigating the effect of stereoscopic three-dimensional (S3D) images on recall and retention of foreign language vocabulary.

Article describes a collaborate study between University of North Texas and Toyota Connected focusing on how to structure and manage multiteam systems (MTSs).

Article describes study which examines the relationships between job satisfaction, work engagement, and turnover intention of Career and Technical Education (CTE) health science teachers in the United States (US).

The article focuses on a systematic review of current team effectiveness frameworks and models. A narrative-based method for theorizing was utilized to develop a new MTS team effectiveness framework. This research contributes to the MTS literature by providing a new formula for team effectiveness at both the team level (team effectiveness formula) and the MTS level (MTS team effectiveness formula).

This article produced descriptive narrative outcomes and data visualizations including information about top soft system methodology (SSM) authors, author citation impacts, common dissemination outlets for SSM work, and other relevant metrics commonly used to measure academic impact. The goal of this piece is to depict who, what, why, when, and where SSM had the greatest impact on research, systems thinking, and methodology after nearly 40 years of use, as we look towards its future as a methodological approach used to comprehend complex problem situations.