The core function of science education is to equip students with scientific literacy, enabling them to understand complex environmental challenges and actively engage in proenvironmental behaviors. Therefore, understanding students' conceptions of environmental education is crucial for advancing environmental education. In this study, we explored…

A noticeable surge in students' widespread adoption of ChatGPT in the past year brought attention to the need for a deeper understanding of their interactions with this new technology. While attempts at theorising learner-ChatGPT interactions have been made, few studies offer empirical accounts of the interactions between learners and ChatGPT.…

Artificial intelligence (AI) has extensively developed, impacting different sectors of society, including higher education, and has attracted the attention of various educational stakeholders, leading to a growing number of research on its integration into education. Hence, this systematic literature review examines the impact of integrating AI…

The American Speech-Language-Hearing Association (n.d.) suggests that acquisition and use of augmentative and alternative communication (AAC) is dynamic and that learning multiple modalities may be beneficial particularly for those individuals with severe disabilities. Evaluation of response variability after training multiple modalities has yet…

As the years progress, blended learning has risen in popularity. In light of a lack of systematic research on the significant intertwined influence on English learners' academic success, this empirical study attempted to reveal critical success factors of students' English learning outcomes in the blended learning environment based on the…

Young children often learn less from video than face-to-face presentations. Meta-regression models were used to examine the average size of this difference (video deficit) and investigate moderators. An average deficit of about half of a standard deviation was reported across 122 independent effect sizes from 59 reports, involving children ages…

Contending with talker variability has been found to lead to processing costs but also benefits by focusing learners on invariant properties of the signal, indicating that talker variability acts as a desirable difficulty. That is, talker variability may lead to initial costs followed by long-term benefits for retention and generalization. Adult…

This study reports on the theoretical- and empirical-based design and evaluation of cell membrane biology learning activities within the Model of Educational Reconstruction and experiential realism. First, we designed analogy-based learning activities by considering students' and scientists' conceptions as described in the literature. Secondly, we…

In a range of settings, human operators make decisions with the assistance of automation, the reliability of which can vary depending upon context. Currently, the processes by which humans track the level of reliability of automation are unclear. In the current study, we test cognitive models of learning that could potentially explain how humans…

Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen-based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real-time…

Sequence learning is fundamental to a wide range of cognitive functions. Explaining how sequences--and the relations between the elements they comprise--are learned is a fundamental challenge to cognitive science. However, although hundreds of articles addressing this question are published each year, the actual learning mechanisms involved in the…

With the advent of technological advancement in learning, such as context-awareness, ubiquity and personalisation, various innovations in teaching and learning have led to improved learning. This research paper aims to develop a system that supports personalised learning through adaptive content, adaptive learning path and context awareness to…

In this article, we investigate a systematic workflow that supports the learning engineering process of formulating the starting question for a conversational module based on existing learning materials, specifying the input that transformer-based language models need to function as classifiers, and specifying the adaptive dialogue structure,…

Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…

Creativity has been described as an indissociable component of music education, complex to conceptualize and often overgeneralized. This article provides an overview of existing research on musical creativities in secondary education between 1990 and 2020. A total of 76 articles published in peer-reviewed journals are reviewed according to PRISMA…