Artificial intelligence (AI)-based voice assistants have become an essential part of our daily lives. Yet, little is known concerning what motivates students to use them in educational activities. Therefore, this research develops a theoretical model by extending the technology acceptance model (TAM) with subjective norm, enjoyment, facilitating…

Emotional Intelligence and Adjustment are the essential conditions for living a healthy and wealthy life. From birth to death, everyone require healthy adjustments in all aspects of life. Adjustment problems, stress levels and homesickness are all supposed to be reduced for the development of a well-balanced personality. Emotional intelligence was…

Artificial Intelligence (AI) is one of the disruptive technologies which is being used to customize the experiences of various learning groups, instructors, and tutors. It is considered the most in-demand technology in today's education system. It is expected that AI will enhance the education system worldwide. The educational institutions are…

International organizations operating in China face difficult cultural, political, and regulatory issues that challenge their ability to operate successfully in the region. However, leaders who employ effective emotional labor strategies have been found to be more effective at building confident, optimistic, and resilient teams equipped to…

Adaptive systems in education need to ensure population validity to meet the needs of all students for an equitable outcome. Recent research highlights how these systems encode societal biases leading to discriminatory behaviors towards specific student subpopulations. However, the focus has mostly been on investigating bias in predictive…

The purpose of this exploratory study was to gain insight into the perceived importance of emotional awareness with pre-service teachers (PSTs) participating in a mixed reality simulator (MRS), as well as the impact of emotional awareness exercises in a MRS on adaptiveness in coping and empathy. Emotional awareness includes the cognitive skills of…

Item preknowledge refers to the phenomenon in which some examinees have access to live items before taking a test. It is one of the most common and significant concerns within the testing industry. Thus, various statistical methods have been proposed to detect item preknowledge in computerized linear or adaptive testing. However, the success of…

The quantitative nonexperimental correlational study examines principals' attitudes towards intelligence and inclusion and the academic growth of students with disabilities. Additionally, the study comparatively examined principals' attitudes toward intelligence and inclusion across 11 demographic factors. The Theories of Intelligence Scale --…

This research looked at how higher education leaders identified and managed their emotions in times of institutional change. Interviews were conducted with higher education leaders who were above the level of director and were not chancellors or presidents. The researcher sought to (1) discover the emotions of higher education leaders in times of…

Background: Emotional intelligence and spiritual intelligence are accompaniment to each other for refining human life. Spiritual intelligence builds up moral value, spiritual values and a strong belief system whereas emotional intelligence helps to develop personal relationships with one's own self, social relationships with others and to manage…

The factorial structure of the WISC-IV for 859 Spanish children diagnosed with ADHD was examined. A bifactor model with the four factors first identified by Wechsler (2003a) was the best fit to the data. The Coding and Symbol Search subtests were particularly poor measures of "g" but relatively strong measures of the Processing Speed…

This chapter discusses the importance of emotional intelligence and presents a case for including emotional intelligence in positive education.

The use of statistical investigations as a teaching strategy have been shown to both motivate and engage students. The implementation of a statistical investigation to measure intelligence is described, covering core statistical principles and key elements of research design.

Automated Essay Scoring (AES) tools aim to improve the efficiency and consistency of essay scoring by using machine learning algorithms. In the existing research work on this topic, most researchers agree that human-automated score agreement remains the benchmark for assessing the accuracy of machine-generated scores. To measure the performance of…

In chemistry, reasoning about the underlying mechanisms of observed phenomena lies at the core of scientific practices. The process of uncovering, analyzing, and interpreting mechanisms for explanations and predictions requires a specific kind of reasoning: mechanistic reasoning. Several frameworks have already been developed that capture the…