In the current scenario, Smart Phones are one of the Artificial Intelligence devices regularly used by the students. The study aimed to know the utility of the SmartPhones in their day to day life, most useful applications and the valid security features of the Smart Phones and its impact among the Students at Higher Education level. Primary data…

Little research has considered whether prenatal experience contributes to executive function (EF) development above and beyond postnatal experience. This study tests direct, mediated, and moderated associations between prenatal risk factors and preschool EF and IQ in a longitudinal sample of 1,292 children from the Family Life Project. A composite…

In this study logistic regression and Lord's Chi Square methods were used to research the items that have DIF. The study utilized Peabody Picture Vocabulary Test (PPVT). The original form of the PPVT includes four options. Three different forms (A, B and C) were formed by removing one of the distractors respectively. The original form of PPVT was…

Waldorf Education follows a holistic approach of children's development, where the fundamental characteristics are creative/artistic activities, integrating imagination-based teaching methods to support and enhance the development of children's and adolescents' physical, social, emotional, and cognitive skills. Neuroeducation provides the most…

Bots are destined to dominate how humans interact with the internet of things that continues to grow around them. Despite their still budding intellectual capacity, major companies (e.g., Apple, Google and Amazon) have already placed (chat)bots at the centre of their flagship devices. (Chat)Bots currently fill the internet acting as guides,…

Purpose: The purpose of this paper is to investigate the way informal groups rise and operate in the Teacher Association in a Secondary Vocational School Unit in Greece. More specifically, the way the role of the head teacher, the school culture and teachers' emotional intelligence impacts these groups is investigated. Design/methodology/approach:…

We present the design of a citizen science system that uses machine learning to guide the presentation of image classification tasks to newcomers to help them more quickly learn how to do the task while still contributing to the work of the project. A Bayesian model for tracking volunteer learning for training with tasks with uncertain outcomes is…

This article addresses the psychosocial functioning of young people with artistic abilities. The study involved 354 students from music, art, and general education schools, ages 16 to 19 years. The research hypothesis was that the diversity of situations experienced by students studying at different types of schools could generate differences in…

Introduction: Adolescence is a transition period between childhood and adulthood during which a decision to embark on a career is made. Furthermore, emotional intelligence is linked to self-efficacy in career decision-making, and some adolescents possess a proactive personality trait that seemingly strengthens the relation between the two…

This study discussed the potential effects of artificial intelligence on higher education at Prince Sattam Bin Abdulaziz University. To achieve this goal, a qualitative research methodology was used by asking an open question on a sample of academics. The results of the analysis showed that there is a decrease in the level of awareness of the…

Objective: States in the United States differ in how they determine special education eligibility for autism services. Few states include an autism-specific diagnostic tool in their evaluation. In research, the Autism Diagnostic Observation Schedule (ADOS for first edition, ADOS-2 for second edition) is considered the gold-standard autism…

For decades, educators have relied on readability metrics that tend to oversimplify dimensions of text difficulty. This study examines the potential of applying advanced artificial intelligence methods to the educational problem of assessing text difficulty. The combination of hierarchical machine learning and natural language processing (NLP) is…

This report reflects on progress from over eight years of research projects in the cyberlearning community. The community involved computer scientists and learning scientists who received NSF awards to investigate the design of more equitable learning experiences with emerging technology--focusing on developing the learning theories and…

Human beings have tremendous potential to acquire new knowledge, develop new skills, and improve their brains throughout life. By explicitly teaching learners about brain plasticity and malleable intelligence (the idea that they can become functionally smarter through effort) and by modeling and teaching specific learning strategies, teachers can…

Today's globally-recognized servant leadership philosophy was born from a series of essays written by Robert Greenleaf in the 1970s. In his manifesto, Greenleaf underscored how through the precedence of a desire to serve and then to lead, servant leaders are motivated to help meet the needs of others. Researchers identify various dimensions and…