While symbolic number processing is an important correlate for typical and low mathematics achievement, it remains to be determined whether children with high mathematics achievement also have excellent symbolic number processing abilities. We investigated this question in 64 children (aged 8 to 10), i.e., 32 children with persistent high…

The climate crisis threatens the sustainability of global ecosystems. To address climate change education, which has traditionally focused on scientific and technical approaches, one can consider learning from the ecological wisdom of ancient peoples. This qualitative paper explores the ecological wisdom behind the traditional painting of Wayang…

The "community of inquiry" framework examines the interplay between four kinds of presence (teaching, cognitive, social, and learner) to promote effective learning in online education. This paper investigates the impact of "instructor participation" ("IP"), a key component of "teaching presence," on student…

This article proposes a novel conceptual framework that integrates Artificial Intelligence (AI) with Cognitive Load Theory (CLT) and the Cognitive Theory of Multimedia Learning (CTML) to enhance Open Distance eLearning (ODeL) systems. By bridging the gap between traditional cognitive theories and cutting-edge AI technologies, this framework…

The study investigates the effects of AI-enhanced multi-display language teaching systems on English as a Foreign Language (EFL) learners. Utilizing a pretest-posttest random assignment experimental design, the research involved 302 EFL students aged 19 to 28 in a higher education setting. The study examines the effects of AI-powered virtual…

The effectiveness of generative AI tools in education depends largely on prompt engineering--the practice of designing inputs and interactions that guide AI systems to produce relevant, high-quality outputs. This systematic literature review examines empirical studies published since the release of ChatGPT in late 2022, identifying two broad…

This study examines how secondary-school students recognize and relate to artificial intelligence (AI) and the meanings they attribute to it in their everyday lives. Using a quantitative, descriptive, cross-sectional design, we explore the subjectivities of a purposive sample of 576 students from both public and private schools. The analysis…

Network models of the WAIS-IV based on regularized partial correlation matrices have been reported to outperform latent variable models based on uncorrected correlation matrices. The present study sought to compare network and latent variable models using both partial and uncorrected correlation matrices with both types of models. The results show…

Seventy-five general and 65 special education teachers working in the same 65 elementary schools in 12 different U.S. school districts were surveyed about their mindsets concerning the malleability of writing and intelligence as well as their practices for teaching writing. All teachers taught writing to one or more fourth-grade students receiving…

Conventional GIScience in favor of objectivity and rationality has focused mainly on locations in the physical environment while falling short of dealing with mental space and human perceptions, feelings, and emotions. Emotional factors are minimized in the majority of GIS algorithms as such factors are viewed as obstructive to spatial analysis.…

While societies struggle with the implications of text-based generative artificial intelligence (TGENAI), businesses are embracing the technology. Using framing, this original activity unit prepares business communication students for professional TGENAI use. Activities emphasize the need for an effective cognitive frame, as well as introduce…

Functional connectivity studies have demonstrated that creative thinking builds upon an interplay of multiple neural networks involving the cognitive control system. Theoretically, cognitive control has generally been discussed as the common basis underlying the positive relationship between creative thinking and intelligence. However, the…

The ability to reason and problem-solve in novel situations, as measured by the Raven's Advanced Progressive Matrices (RAPM), is highly predictive of both cognitive task performance and real-world outcomes. Here we provide evidence that RAPM performance depends on the ability to reallocate attention in response to self-generated feedback about…

This study aimed at investigating the relationship between multiple-intelligence and thinking patterns through critical thinking among tenth-grade students in Abu Dhabi private schools. This study used descriptive approach and SEM. Also, the study sample consisted of 350 students from five private schools in Abu Dhabi. The instruments used were…

This paper explores a major theoretical framework from psychology, Dual Process Theory (DPT), which has received surprisingly little attention in the computing education literature. DPT postulates the existence of two qualitatively different kinds of cognitive systems, a fast, intuitive "System 1" and a slow, reflective "System…