Purpose: This paper aims to introduce a novel AI learning progression for upper-elementary students and aligns assessment items across levels of each construct to gather evidence of understanding. It also validates this quantitative measure by examining these items as two subscales for psychometric properties using the Rasch model.…

In recent years, the heightened focus on school safety has spurred debate about policies and practices for protecting students and staff. Particularly with school shootings and concerns about external threats making headlines, decision makers are understandably under increasing pressure to implement measures that build safer learning environments.…

Research on artificial intelligence (AI) in education has revealed a significant gap in understanding the complex relationship between AI, self-regulation, and teachers' pedagogical practices in the United Arab Emirates (UAE). The study adopts a cross-sectional study that uses exploratory survey aimed at investigating ChatGPT's role in the future…

Leveraging gamification's potential in transforming the learning experience, this paper focuses on the application of technology in education to boost student learning and improve the education sector. A case study is presented where learning outcomes in two different environments are compared: traditional and gamified learning. The case study…

Background: Ethical decision-making is at the core of higher education, yet case-based ethics training often lacks depth and practical judgment. This study investigates whether integrating Artificial Intelligence (AI) and Virtual Reality (VR) enhances ethical reasoning compared with conventional training. Sixty undergraduates in business and…

The present study adopted a phenomenological approach to explore how high school students perceive their teachers' rhetorical and relational communication behaviours in artificial intelligence (AI)-supported classrooms and how these behaviours influence their willingness to attend such classes. Data were collected through semi-structured…

This study examines the relationship between college educators' psychological adaptability and their work engagement within a Smart teaching environment, highlighting the novel role of digital information literacy self-efficacy as a partial mediator. Drawing on a sample of 373 university teachers, structural equation modelling reveals that all…

The present study examined the content of applied behavior analytic therapy (ABA therapy) on skill acquisition and intelligence test scores of twenty-eight children with autism and related disabilities. Using a randomized controlled trial, we compared (a) traditional ABA consisting of verbal behavior techniques developed by Skinner (Verbal…

Individuals encounter problems daily wherein varying numbers of constraints require delimitation of memory to target goal-satisfying information. Multiply-constrained problems, such as the compound remote associates, are commonly used to study this type of problem solving. Since their development, multiply-constrained problems have been…

In recent studies, test-score increases have been shown in rule-based intelligence test tasks, such as number series, after watching a corresponding video tutorial. An open question remains regarding the mechanisms involved. Specifically, taking notes to describe the relations between numbers might be linked to test scores, and is hypothesized to…

In comparison to children and young students, adult learners usually exhibit more complex learning behaviors and psychological needs during the learning process. Designing social robots for adult learners has, thus, been a challenging task and a far less explored area, and it requires the great efforts from both technical and theoretical…

Text analytics in education has evolved to form a critical component of the future SMART campus architecture. Sentiment analysis and qualitative feedback from students is now a crucial application domain of text analytics relevant to institutions. The implementation of sentiment analysis helps understand learners' appreciation of lessons, which…

Mathematics education is like many scientific disciplines witnessing an increase in scientific output. Examining and reviewing every paper in an area in detail are time-consuming, making comprehensive reviews a challenging task. Unsupervised machine learning algorithms like topic models have become increasingly popular in recent years. Their…

Collaborative design approaches have been increasingly adopted in the design of learning technologies since they contribute to develop pedagogically inclusive and appropriate learning designs. Despite the positive reception of collaborative design strategies in technology-enhanced learning, little attention has been dedicated to analyzing the…

Researchers often make claims regarding the importance of predictor variables in multiple regression analysis by comparing standardized regression coefficients (standardized beta coefficients). This practice has been criticized as a misuse of multiple regression analysis. As a remedy, I highlight the use of dominance analysis and random forests, a…