With the development of science and technology, the demand for programmers has increased. However, learning computer programs is not an easy task. It might cause a significant impact on programming if misconceptions exist at the beginning of the study. Hence, it is important to discover and correct them immediately. Chatbots are effective teaching…

This study explores the roles and research foci of AILEd (Artificial Intelligence in Language Education). The AILEd studies published from 1990 to 2020 in the WOS (Web of Science) database were included in the present study. Based on the well-recognized Technology-based Learning Review model, several dimensions, such as research methods, research…

Mobile learning or mLearning has become an essential tool in many fields in this digital era, among the ones educational training deserves special attention, that is, applied to both basic and higher education towards active, flexible, effective high-quality and continuous learning. However, despite the advances in Natural Language Processing…

The unprecedented growth in the use of AI and its related technologies will put a tremendous stress on US institutions to produce the required number of technologically prepared workers to fill critically important job openings. In the US, low-income and URM students participate less vigorously in STEM-related fields; the problem is even more…

The goal of the current study was to ascertain pre-service English language teachers' impressions of the impact of thematic speaking tasks on the development of their intercultural competence in an online Spoken English course. Moreover, the effect of certain demographic variables on pre-service teachers' cultural intelligence (CQ) was also…

Computer vision (CV) is a subfield of artificial intelligence (AI) that trains computers to understand our visual world based on digital images. There are many successful applications of CV including face and hand gesture detection, weather recording, smart farming, and self-driving cars. Recent advances in computer vision with machine learning…

The ability to recognize temporal patterns and position events in time emerges during the preschool years and is refined in middle childhood. This study explored individual differences in temporal cognition in relation to verbal and nonverbal abilities. Children (30 boys, 32 girls; M[subscript age] = 8;2, age range = 6;0-10;8) completed 3…

Purpose: Although the role of reflections in entrepreneurship education is undeniable, the research has focused mainly on their advantages and consequences for learning process, whereas their dynamics and interrelations with other mental processes remain unexplored. The purpose of this paper is to better understand how personality and intelligence…

In Malaysia, most parents prefer to choose registered early childhood learning centers ("TASKA"), due to their perceptions that the centers are with quality services and well-observed by the government authority. In this quantitative research, the main objective is to identify the best model to represent the contributing factors which…

Psychometric tests related to vocabulary assessments are, for the most part, restricted in their use by trained professionals and/or are costly. These restrictions limit their use, especially for research purposes. To circumvent these limitations, the Raney Vocabulary Measure was created for assessing vocabulary proficiency, specifically for…

The present research examined the consequences of telling young children they have a reputation for being smart. Of interest was how this would affect their willingness to resist the temptation to cheat for personal gain as assessed by a temptation resistance task, in which children promised not to cheat in the game. Two studies with 3- and…

How women understand and practice leadership is a growing focus in research and in practice. This study was the first of its kind to examine different variables that drive college women's leadership self-efficacy. The researchers sought to identify which of the 19 capacities of emotionally intelligent leadership (EIL) are significant drivers of…

Recent work by a number of researchers has argued that the capacity for mathematical thinking is innate to human intelligence. Much of the evidence for this conclusion is based on findings in fields as diverse as linguistics, genetics, evolution, archaeology, psychology, and philosophy. This paper argues that the genealogy for this development is…

The article investigates several ways in which creating, entering, and playing games requires uniquely human levels of intelligence. It examines an element of our evolutionary heritage and the possibility that games (particularly in the form of sport) were among the first elements of culture. It describes sport as a "way of knowing," a…

Intelligence is at the heart of what makes us human, but the methods we use for identifying, talking about and valuing human intelligence are impoverished. We invest artificial intelligence (AI) with qualities it does not have and, in so doing, risk losing the capacity for education to pass on the emotional, collaborative, sensory and…