The integration of artificial intelligence in e-learning presents promising avenues for scalable, efficient content creation. However, the prevailing content-first approach in AI course design often compromises educational quality for speed, leading to courses that lack coherence, cognitive alignment, and structured progression. This article…

An intelligent tutoring system (ITS, henceforth) is currently defined as a computer system that delivers personalized instruction to students by using computational techniques to evaluate the learner in a variety of ways, including (but not limited to) their prior knowledge, competency/skill levels, motivation, and affective states. ITSs are…

This chapter explores the urgent relevance of posthumanist theory and practice for democratizing creative educational experiences in 21st-century schools, universities, and informal learning environments. Posthumanism challenges the myopic centering of the human in creative education in an age of climate change, artificial intelligence, and…

Librarians, who have long promoted the criticality of information literacy, were quick to identify a role for themselves in confronting the challenges of mis/disinformation through library instruction. Nevertheless, little research has been done to examine discipline faculty's perspectives on mis/disinformation or the extent to which they are…

This article presents an Internet data analysis model based on Web Mining with the aim to find knowledge about large amounts of data in cyberspace. To test the proposed method, suicide web pages were analyzed as a study case to identify and detect traits in students with suicidal tendencies. The procedure considers a Web Scraper to locate and…

Language learning has dramatically influenced the extensiveness of web-based learning, AI applications, smart content, personalized tutoring systems, virtual facilitators. This paper aims to review the empirical evidence on the application of intelligent agents in English learning to define the future research perspectives of Teachable…

This article argues that consumer-oriented machine translation software applications are disrupting foreign language education. In order to mitigate this impact, the article provides guidance on how to transform teachers' perceptions of online translators. This process is a critical precondition for the gradual and thoughtful implementation of…

The purpose of the study is to evaluate the opinion of employers on the factors that are the most important for employers in Latvia in the recruitment process, considering increasingly global and changing labour market. A total of 750 companies participated in this research. A list of 17 skills, competencies and attitudes, important for individual…

Providing timely feedback is crucial in promoting academic achievement and student success. However, for multifarious reasons (e.g., limited teaching resources), feedback often arrives too late for learners to act on the feedback and improve learning. Thus, automated feedback systems have emerged to tackle educational tasks in various domains,…

The modern teacher must respond to the needs of society in the context of Education 4.0. It seems suitable to adapt this trend to teaching children at an early age. The paper examines the usefulness of professional education for kindergarten and primary school teachers focused on personality development, emotional intelligence, and other social…

Although the field of artificial intelligence (AI) has rapidly developed, there has been little research to review, describe, and analyse the trends and development of empirical research on AI-supported language learning. This paper selected and analysed 25 empirical research papers on AI-supported language learning published in the last 15 years.…

Learning skills and developing competencies at early ages augment its benefits later in life, and therefore, can be effective in the long run. Starting from this point, the paper argues the need for and importance of enterprise education in preschool education. The paper aims to explore preservice preschool teachers' entrepreneurship features and…

The purpose of this study is to propose an e-learning system model for learning content personalisation based on students' emotions. The proposed system collects learners' brainwaves using a portable Electroencephalogram and processes them via a supervised machine learning algorithm, named K-nearest neighbours (KNN), to recognise real-time…

In this article, we address the issue of reliability of quantitative data on multilingualism of the past obtained as recall data. More specifically, we investigate whether the interviewees' assessments of the language repertoires of their late relatives (indirect data) provide results that are quantitatively similar to those obtained from the…

Concerns about the health effects of frequent exposure to electromagnetic fields (EMF) emitted from mobile towers and handsets have been raised because of the gradual increase in usage of cell phones and frequent setting up of mobile towers. Present study is targeted to detrimental effects of EMF radiation on various biological systems mainly due…