Reducing learning time or training time in intelligent tutors is a challenging research problem. In this study, we aim to reduce training time while maintaining student performance in intelligent tutors. We propose a Deep Reinforcement Learning (DRL) based method to determine when students need more training and when they don't. We design an…

As AI becomes increasingly integrated into the higher education sector, academics are grappling with an identity crisis. "Academic Identity in the Age of AI" explores the impact of AI on the role of the academic, examines ethical considerations, and envisions the future of higher education academics in the AI era. Delving into the…

A personalized system of instruction is one of the strategies to personalize instruction. It is a technique that allows the student to move from one unit to another according to his own pace and his potential. Although this system is distinguished with activity and effectiveness to master the instructional subject, it lacks evaluation of the essay…

Based on hundreds of thousands of hours of data about how students learn in massive open online courses, educational machine learning promises to help students who are learning to code. However, in most classrooms, students and assignments do not have enough historical data for feeding these data hungry algorithms. Previous work on predicting…

Theory of Mind (ToM) is the ability understand that other people's mental states may be different from one's own. Psychometric models have shown that individual differences in ToM can largely be attributed to general intelligence ("g") (Coyle et al. 2018). Most psychometric models specify "g" as a reflective latent variable,…

The "Raven's 2 Progressive Matrices Clinical Edition" (Raven's 2; Raven, Rust, Chan, & Zhou, 2018), published by NCS Pearson, is an individually administered nonverbal assessment of general cognitive ability developed to measure "educative abilities," defined as the ability to think clearly and solve complex problems in…

In response to the call for promoting three-dimensional science learning (NRC, 2012), researchers argue for developing assessment items that go beyond rote memorization tasks to ones that require deeper understanding and the use of reasoning that can improve science literacy. Such assessment items are usually performance-based constructed…

Worldview is often neglected as a dimension of holistic student learning and development in college, yet certain higher education practitioners are deeply committed to supporting students with diverse religious, spiritual, and secular identities. This article explores common characteristics among these "interfaith champions" and how…

Non-Factoid Question Answering (QA) is the next generation of textual QA systems, which gives passage level summaries for a natural language query, posted by the user. The main issue lies in the appropriateness of the generated summary. This paper proposes a framework for non-factoid QA system, which has three main components: (1) a deep neural…

Jacques Rancière's "The Ignorant Schoolmaster" confronts its reader with an intellectual adventure. In this article, Michael McCreary interrogates why Rancière might have chosen to share Joseph Jacotot's pedagogical ideas with us and how the method in which he casts them might be internal to their teaching. In the first section, McCreary…

The study investigated the mediating role of tolerance in the relationship between cultural intelligence and xenophobia. The study further investigated the moderating role of gender in the relationships between cultural intelligence, tolerance, and xenophobia. A structural equation modeling-based mediation and multi-group analysis were employed…

To support online learners at a large scale, extensive studies have adopted machine learning (ML) techniques to analyze students' artifacts and predict their learning outcomes automatically. However, limited attention has been paid to the fairness of prediction with ML in educational settings. This study intends to fill the gap by introducing a…

In recent years, modern technologies have enabled the collection of exponentially larger quantities of data in the biomedical domain and elsewhere. In particular, the advent of single-cell genomics has allowed for the collection of datasets containing hundreds of thousands of cells measured in tens of thousands of dimensions. This rapid expansion…

This predictive correlational study examined to what extent a relationship exists between the emotional intelligence of the staff in the information technology department's productivity and end-user satisfaction, as well as the quality of work done by those departments. Three universities were sampled for emotional intelligence, work productivity,…

The Cattell-Horn-Carroll (CHC) model presently serves as a blueprint for both test development and a taxonomy for clinical interpretation of modern tests of cognitive ability. Accordingly, the trend among test publishers has been toward creating tests that provide users with an ever-increasing array of scores that comport with CHC. However, an…