False alarming, or detecting an error when there is not one, is a pervasive problem across numerous industries. The present study investigated the role of elaboration, or additional information about non-error differences in complex visual displays, for mitigating false error responding. In Experiment 1, learners studied errors and non-error…

This article presents a theoretical justification and a proposal that seeks to educate university students in leadership through virtues and personal competencies. A distinction is offered between virtues and competencies without opposing them. Subsequently, a leadership education model based on virtues and personal competencies is offered. This…

The education sector has been quick to recognize the power of predictive analytics to enhance student success rates. However, there are challenges to widespread adoption, including the lack of accessibility and the potential perpetuation of inequalities. These challenges present in different stages of modeling, including data preparation, model…

Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…

The interest in entrepreneurship is growing, due to its relationship with competitiveness, growth, employment, and innovation. In fact, there are numerous studies trying to identify factors influencing entrepreneurial intentions among university students, especially among young people, and in those countries with declining growth rates. Using the…

In the educational landscape, educational data mining has emerged as an indispensable tool for institutions seeking to deliver exceptional and high-quality education. However, education data revealed suboptimal academic performance among a significant portion of the student population, which consequently resulted in delayed graduation. This…

The purpose of this study is to develop an instructional model to improve the reading abilities of technical documents, and to enhance students' positive learning attitudes for TVE college students in China. This study developed a teaching model based on the Information Processing Approach, Vygotsky's Scaffolding, and Motivation. This teaching…

This study reports on the development and assessment of a new 30-item Multidimensional Language Class Anxiety Scale which is designed to assess foreign language learners' anxiety regarding four language skills (listening, reading, writing, and speaking) and testing. In Study 1, the initial items were piloted with 323 students studying English as a…

This scholarly inquiry critically examines the pedagogical aspects pertaining to the instruction and acquisition of Abstract Algebra within the realm of University Mathematics Education (UME). Drawing upon multiple lenses, including epistemological, cognitive, phenomenological, and institutional perspectives, this study investigates the formidable…

Scaled analog modeling ("sandbox modeling") allows deformational processes, such as the development of a mountain belt, to be observed in real time in a classroom setting. However, the actual learning gains from exposure to sandbox modeling in geology courses in higher education settings have not been explicitly studied. We begin to…

Through this point-of-departure paper we aim to prompt discussion and action around redesigning university learning to help students tackle climate-related challenges in a personally and societally meaningful way. We use the lens of assessment to draw attention to how discipline areas without an explicit environmental or climate science focus can…

The motivation, philosophy, and organization of a course on artificial intelligence in chemical engineering is presented. The purpose is to teach undergraduate and graduate students how to build AI-based models that incorporate a first principles-based understanding of our products, processes, and systems. This is achieved by combining…

University students are at higher risk than the general population of becoming mentally unwell. Dominant risk factors are to do with relationships, work load, the university environment and approaches to learning and teaching. Over recent decades higher education has been increasingly influenced by rules of commodification, however less…

With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…

In recent years, China has accelerated the process of internationalization and made more and more achievements in transnational communication and cooperation. English learning is very important for contemporary college students. And English reading is an important means to acquire English language knowledge, understand external information and…