The present study aimed to explore the association between creativity, intelligence, and personality. The study recruited sixty healthy volunteers in the age range of 20-40 years from Bengaluru city (formerly Bangalore), South India, and administered tests for fluid intelligence (Raven's Standard Progressive Matrices), personality (Big Five…

This article explores the diverse epistemic perspectives on intelligence, tracing its conceptual evolution across early Indian philosophy, Western philosophical thought and contemporary computational theories. Intelligence is examined as a dynamic, multifaceted phenomenon that transcends mere cognition, extending into embodied, ecological and…

Purpose: This research employs machine learning and mediation analysis, along with path analysis, to investigate the correlations between factors such as body mass index (BMI) and the occurrence of diabetes and heart disease among the Indian population. The objective is to enhance models that are specifically designed to accommodate lifestyles,…

The Fourth Industrial Revolution, characterized by the proliferation of Artificial Intelligence (AI), is transforming the educational landscape and calls for educators who are not only digitally proficient but also cognitively adaptive. This study investigated the relationship between digital competence and attitudes toward AI among pre-service…

The integration of artificial intelligence (AI) in educational setting is rapidly growing. The huge impact of AI in education draws attention of school stakeholders to start incorporating AI in teaching and learning. AI in school curriculum is increasingly getting significant. The study aimed to understand factors influencing the incorporation of…

This study focused on the investigation of the spiritual intelligence of prospective teachers with respect to their gender, locality, and stream. A descriptive survey method was used along with the sample of 105 prospective teachers through multistage sampling techniques. A standardized Sixfold Spiritual Intelligence Scale was used for data…

Predicting academic performance in Educational Data Mining has been a significant research area. This involves utilizing machine learning techniques to analyze data from educational settings. Predicting student academic performance is a complex task due to the influence of multiple factors. This research uses supervised machine-learning approaches…

This paper aims to examine the variables involved in improving Teacher effectiveness through self-efficacy (SE) while focusing on higher education. The authors collected data from 600 usable responses from Northern India. The data was analyzed by structural equation modelling using analysis of moment structures (AMOS). The results indicate that…

The rapid integration of Artificial Intelligence (AI) in education has led to a surge in research on teachers' adoption of these technologies. However, there is a noticeable lack of comprehensive reviews synthesizing the current state of research on this topic. This study addresses this gap by systematically reviewing 33 studies published since…

This study explores the perspectives of Indian library professionals on the use of artificial intelligence (AI) in libraries. It aims to understand their knowledge, awareness, and views on AI and its challenges and opportunities. The research adopts a quantitative approach, using a closed-ended survey to collect data from 386 library professionals…

Emotional intelligence plays a vital role in accomplishing the determined objectives of mankind and promoting learning outcomes. For the first time psychologists, Mayer and Salovey coined and used the term "Emotional Intelligence" and defined it as the capacity or ability of an individual for perceiving, processing, knowing and…

Academically gifted students or high potential learners don't feel challenged in regular classrooms. Teachers in schools are also not quipped with pedagogical interventions to meet the advanced learning needs of gifted students. Mentoring is considered an effective method to guide, motivate and optimize learning abilities of gifted students. The…

Purpose: The Language ENvironment Analysis (LENA) technology uses automated speech processing (ASP) algorithms to estimate counts such as total adult words and child vocalizations, which helps understand children's early language environment. This ASP has been validated in North American English and other languages in predominantly monolingual…

The integration of artificial intelligence (AI) in contemporary classrooms is redefining educational processes and teacher roles. Tools such as ChatGPT, automated grading systems, and personalized learning platforms are being widely adopted for their ability to enhance efficiency, deliver adaptive instruction, and support data-driven…

Resilience is of utmost importance for first-year undergraduate students to persist and flourish throughout the course of their studies. The researchers explored the comparative and simultaneous effect of two factors, i.e., emotional intelligence (EI) and critical thinking (CT) disposition in predicting the resilience of first-year undergraduate…