High levels of attrition characterize undergraduate science courses in the USA. Predictive analytics research seeks to build models that identify at-risk students and suggest interventions that enhance student success. This study examines whether incorporating a novel assessment type (concept inventories [CI]) and using machine learning (ML)…

Learning achievement was one of the indicators often used to measure student success in learning. A comprehensive understanding of this topic requires contributions from a variety of disciplines. Recently, researchers are interested in examining the impact of religiosity and emotional intelligence on learning achievement. However, the study on…

This investigation provides internal consistency reliabilities for the Wechsler Memory Scale--Fourth Edition (WMS-IV) subtest and index discrepancy scores using the standardization samples of the Adult and Older Adult batteries. Subtest reliabilities ranged from 0.00 to 0.93 for Adults and 0.25 to 0.94 for Older Adults. Three of 91 Adult…

Promoting creativity is considered an important goal of education, but creativity is notoriously hard to measure. In this article, we make the journey from defining a formal measure of creativity, that is, efficiently computable to applying the measure in a practical domain. The measure is general and relies on core theoretical concepts in…

Machine learning systems are infiltrating our lives and are beginning to become important in our education systems. This article, developed from a synthesis and analysis of previous research, examines the implications of recent developments in machine learning for human learners and learning. In this article we first compare deep learning in…

Learning Management Systems (LMS) lack automated intelligent components that analyze data and classify learners in terms of their respective characteristics. Manual methods involving administering questionnaires related to a specific learning style model and cognitive psychometric tests have been used to identify such behavior. The problem with…

Nowadays, AI is a real springboard for finding solutions to optimize and improve learning and teaching processes. This issue has been a focus of humanity for millennia, and very significant advances have been made in this quest. This article aims to address the issue of optimizing and improving learning and teaching processes through AI…

Many college leadership educators use inventories as part of co-curricular programs, outside the traditional classroom. This article will describe and critique the use of four instruments (Myers-Briggs Type Indicator, CliftonStrengths, Emotionally Intelligent Leadership Inventory, and Earthquake[TM] Simulation) to support student development…

Automatically detecting bugs in student program code is critical to enable formative feedback to help students pinpoint errors and resolve them. Deep learning models especially code2vec and ASTNN have shown great success for "large-scale" code classification. It is not clear, however, whether they can be effectively used for bug…

In this study, it was investigated the intention of students to stay enrolled and student retention in undergraduate business management programs. The intention of students to stay enrolled and student retention are concerns for academic institutions. There is the need to direct resources to attract students and provide students with tools to…

The processes used in identifying/diagnosing specific learning disabilities (SLDs) vary across settings and classification systems. Moreover, the theoretically and mathematically derived identification models (i.e., discrepancy model) have thus far not demonstrated adequate reliability and validity. The present study explores the utility of…

When it comes to the spread of disinformation, society has lived through the perfect storm. The isolation of the pandemic and the depression induced by that isolation gave rise to a raw need for camaraderie and connection. Forced into digital spaces to work, teach, and learn, meant spending increasing amounts of time in those spaces hoping to be…

Critical thinking, intelligence, and language aptitude are three cognitive factors, each, in its own way, influencing our lives. They are important in successful reasoning, problem-solving, and foreign language learning, and thus are worth studying regarding their influence on individuals' language-related skills, in particular, foreign…

Inclusive education is a global priority and binding obligation for Australia to meet as a signatory to international human rights treaties. It is also supported by evidence as an effective model of schooling for all students and supporting those with disability. Yet segregation remains deeply embedded within the education systems of all states…

Children with autism often display discrepancies in their intellectual functioning, with nonverbal skills frequently being more developed than verbal. Compared to monolingual autistic children, however, much less is known about how bilingualism affects intelligence in autism. The current study examined the intelligence profiles of 146 bilingual…