Although educational research and evaluation generally occur in multilevel settings, many analyses ignore cluster effects. Neglecting the nature of data from educational settings, especially in non-randomized experiments, can result in biased estimates with long-term consequences. Our manuscript improves the availability and understanding of…

The assessment of autism spectrum disorder (ASD) is based on semi-structured procedures addressed to children and caregivers. Such methods rely on the evaluation of behavioural symptoms rather than on the objective evaluation of psychophysiological underpinnings. Advances in research provided evidence of modern procedures for the early assessment…

Background: Motivational factors are one active area of research that aims to increase the inclusion of women in physics. One of these factors that has only recently gained traction in physics is intelligence mindset (i.e., the belief that intelligence is either innate and unchangeable or can be developed). We studied 781 students in…

This quantitative study examined self-perceptions of multiple intelligences among gifted physics-oriented Finnish upper-secondary students (N = 164). The specific focus was on gender differences in the self-evaluated intelligence profiles. The data were gathered via an online questionnaire based on Gardner's theory of multiple intelligences. The…

This present work uses artificial neural networks (ANNs) to examine the association between various dimensions of coaching leadership and turnover Intention. The coaching leadership data were collected from 194 employees across multiple schools in Korea. The ANN models are capable of higher predictive accuracy than conventional linear regression…

In this study, the usability of images generated by artificial intelligence (AI) in education was attempted to be determined. For this purpose, the DALL·E AI tool developed by OpenAI was used. This research aims to determine the usability of images generated by artificial intelligence in education and the qualitative research design was used.…

Social media propagation carries the capacity for global communication and societal wellbeing, digital trading, entertainment, and the centre of engagement. The consequences of over-engagement in social media lead to depression, stress, and low performance. This study unfolds tendencies of excessive use of social media towards general anxiety and…

There has been increasing interest in the use of Fourth Industrial Revolution technologies such as artificial intelligence to help achieve the Sustainable Development Goals. Recently, multilateral organizations have sponsored initiatives to make countries aware of the benefits of using artificial intelligence for sustainable development and to…

Over the past two decades, innovations powered by artificial intelligence (AI) have extended into nearly all facets of human experience. Our ethnographic research suggests that while young people sense they can't "trust" AI, many are not sure how it works or how much control they have over its growing role in their lives. In this study,…

Learning agility is a relatively novel concept and has the potential to be considered an important characteristic of an effective teacher. Thus, a scale to measure it might be beneficial especially for selecting and recruiting teachers. Based on this notion, the purpose of this study was to develop a scale to measure the learning agility of…

The daily contingent and ambiguous praxis of teaching raises various issues that are related to the multidimensional question of the purpose: what to do and how to act with a view to what is considered to be educationally desirable? Despite the revival of interest for practical wisdom as quality of teachers to judge what is to be done, literature…

Feedback is a crucial component of student learning. As advancements in technology have enabled the adoption of digital learning environments with assessment capabilities, the frequency, delivery format, and timeliness of feedback derived from educational assessments have also changed progressively. Advanced technologies powered by Artificial…

The incorporation of emotions in educational and cultural spaces is increasingly important in our society. The main objective is to review studies on emotional pedagogy both in school and in the museum and its importance in the education of blind pupils, providing elements for good practice. In the methodology used, a systematic review has been…

Technology and data analysis have evolved into a resource-rich tool for collecting, researching and comparing student achievement levels in the classroom. There are sufficient resources to discover student success through data analysis by routinely collecting extensive data on student behaviour and curriculum structure. Educational Data Mining…

Aim/Purpose: This paper presents a machine learning approach for analyzing Course Learning Outcomes (CLOs). The aim of this study is to find a model that can check whether a CLO is well written or not. Background: The use of machine learning algorithms has been, since many years, a prominent solution to predict learner performance in Outcome Based…