This paper presents a systematic literature review of artificial intelligence (AI)-supported teaching and learning in early childhood. The focus is on human-machine cooperation in education. International evidence and associated problems with the reciprocal contributions of humans and machines are presented and discussed, as well as future…

Purpose: Together, learning objects (LOs) and e-pedagogical practices have the potential to improve the performance of e-learning systems in several ways. They can make e-learning more personalised and adaptable, providing students with a more engaging and effective learning experience. Design/methodology/approach: The development of LOs and…

This paper presents a study analyzing the perception of artistic products created by or with the support of artificial intelligence (AI). The research builds on previous studies revealing that the output of artificial creativity processes can indeed rival human-made products, satisfy consumer expectations, and derive enjoyment. However, in…

The chance to start your own business is appealing when the labor market experiences a slump in the current crisis scenario. The factors that affect sustainable entrepreneurship were examined in this study. The factors contributing to an entrepreneur's success, including successful intelligence, social skills, and entrepreneurial personality, were…

Vision classification tasks, a fundamental and transformative aspect of deep learning and computer vision, play a pivotal role in our ability to understand the visual world. Deep learning techniques have revolutionized the field, enabling unprecedented accuracy and efficiency in vision classification. However, deep learning models, especially…

Learning Management Systems (LMS) or Learning Content Management Systems (LCMS) are the core of e-learning platforms and have evolved according to the development of new information and communication technologies. In this type of software there are many products on the market, some developed by the institutions themselves (in-house), others are…

The issues of poor academic outcomes, dismissal, high attrition, and dropout rates among college students have long concerned for many educators and college communities. Several scholars have posited that these problems can be addressed through the development of emotional intelligence and increased student engagement. Considering these problems,…

The exponential growth of scholarly publications in recent years has presented a daunting challenge for researchers to keep track of relevant articles within their research field. To address this issue, we examined the capabilities of InfraNodus, an AI-Powered text network analysis platform. InfraNodus promises to provide insights into any…

This paper explores the understudied topic of international student sojourners' emotional intercultural competence in higher education by analysing Chinese postgraduate students' experiences of managing their emotions evoked during intercultural communication at a British university. Through ethnographic interviews, this study examines how…

The purpose of this qualitative descriptive study was to investigate how leaders described their experiences with team collaboration, organizational knowledge creation, and organizational culture when using Artificial Intelligence in companies in the Western United States. Nonaka and Takeuchi's SECI Knowledge Spiral model was used to underpin this…

The close relationship between working memory and maths problem solving is generally accepted, but the specifics of how working memory and its subcomponents contribute to maths problem solving remain poorly understood. Tests of working memory, maths problem problem solving, calculation, and intelligence were administered to 246 university…

Participating in online communities has significant benefits to students learning in terms of students' motivation, persistence, and learning outcomes. However, maintaining and supporting online learning communities is very challenging and requires tremendous work. Automatic support is desirable in this situation. The purpose of this work is to…

This study aimed to investigate the relationship between motor skills and fluid intelligence in children aged 5-7 years. In this cross-sectional study, 115 children between 5 and 7 years of age (preschool children with sports skill learning) were included (51 boys, 44.34%), and fluid intelligence was measured using the Wide Range of Intelligence…

The development of automated systems for evaluating spontaneous speech is desirable for L2 learning, as it can be used as a facilitating tool for self-regulated learning, language proficiency assessment, and teacher training programs. However, languages with fewer learners face challenges due to the scarcity of training data. Recent advancements…

With the release of artificial intelligence image-generation platforms to the broader public in 2022, there is an opportunity to evaluate how image-making practices may change and speculate how graphic design software, such as Photoshop, may evolve. Using a methodology of assemblage, a relational study of Photoshop and Midjourney is gathered to…