Engineering education aims to equip children with the skills to solve and apply complex problems. Problem-solving processes in engineering require high-level thinking and mind habits. Habit is a term used to describe various aspects of intelligence. Engineering habits of mind are the values, attitudes, and thinking skills associated with…

Engineering lacks quantitative measures of racism and sexism in engineering graduate education. Racial and gendered disparities in participation, persistence, and experience combined with qualitative evidence indicate that discrimination interferes with marginalized students' well-being and degree completion. The Discrimination in Engineering…

As a result of the COVID-19 pandemic, anatomy education was forced to adopt online modes of delivery. Previous research on student views revealed areas of strong preference (asynchronous lectures) and strong dislike (virtual specimens) in online anatomy courses. The current study seeks to compare the views of a single cohort of students…

Character measurement has become increasingly relevant and needed in recent years due to its significant impact on an individual's success in various aspects of life. However, existing methods of character measurement such as self-assessment, peer assessment, and observation, still have many limitations. The Situational Judgement Test (SJT) is a…

The interaction between Higher Education Institutions (HEIs) and industry for the purpose of improving the exchange of knowledge and technology refers to the concept of universities--industry collaboration (UIC). This research aims to identify the Determinants of UIC in Oman by considering the four main players in UIC, which are faculty, students,…

In this paper, we examined the relationship between social networking sites (SNSs) and the coping strategies international students adopt amidst cultural shocks in India, particularly in the vibrant locale of Chandigarh. The study scrutinizes pivotal factors that influence international students' SNS use and creates and validates an instrument…

The present study administered six test instruments to 13- to 14-year-old learners of English in Austria and Sweden (N = 213), countries offering settings with more explicit and implicit learning environments, respectively. Confirmatory Factor Analyses for Austria yielded a factor comprising timed grammaticality judgment tests, an oral narrative…

This study reports on developing and validating the School Alienation in Online Schooling Scale (SAOSS). School alienation in online schooling is conceptualized as opposed to school belonging and the main reason for minimal participation, reduced educational benefits, and school dropout in school aged-children, especially during the online…

The objective of this study was to create a psychometrically valid and reliable toxic leadership scale (TLS) for use in higher education workplace environments. The TLS was administered to a sample of 482 faculty members employed by three public universities in Jordan. Another aim of the study was to determine the level of toxic leadership based…

This note extends the results in the 2016 article by Raykov, Marcoulides, and Li to the case of correlated errors in a set of observed measures subjected to principal component analysis. It is shown that when at least two measures are fallible, the probability is zero for any principal component--and in particular for the first principal…

Socially regulated learning (SoRL) is a critical mechanism for enhancing the effectiveness of collaborative learning outcomes. Measurement of university students' engagement in SoRL is essential for refining the strategies aimed at improving its efficacy. Nonetheless, the measurement of university students' levels of engagement in SoRL remains…

Background: Critical thinking is essential in modern education, and artificial intelligence (AI) offers new possibilities for enhancing it. However, the lack of validated tools to assess teachers' AI-integrated pedagogical skills remains a challenge. Objectives: The current study aimed to develop and validate the Artificial Intelligence-Critical…

A multiple regression analysis was conducted to investigate what variables may predict the student's self-perceived proficiency in mathematics. Hence, this quantitative cross-sectional survey design aimed to explore the factors predicting the student's self-perceived proficiency in mathematics using gamified instruction. Two hundred twenty-five…

The spread of fake news (FN) has attracted attention from disciplines ranging from social sciences to Artificial Intelligence. This work is novel because it explores the news-sharing behaviour of social-media users, focussing on those that spread FN, rather than the psychological motivations behind them. The 14-item Risky News-Sharing Quotient…

This study aims to examine the construct validity of the English Language Resilience Scale (ELRS), explore how English learning resilience can be predicted through the six factors of resilience (i.e. planning, self-control, persistence and continuity in English learning, growth mindset, flexibility, and sociability), investigate how English…