Emerging Artificial Intelligence-enhanced technology platforms in education warrant attention to exploring new learning strategies and dynamics. Keeping up with the accelerating momentum to bring classic traditional learning activities to Artificial Intelligence-supported platforms may unbalance the interest in developing the participants'…

Teaching history invokes the motif of ancient feud with dispute focused on meanings of learning. Learning meanings deriving from traditional theories such as behaviourism need abandoning post-pandemic. Emerging theories, including Non-Affirmative Theory of Education (NATE) with a strong social justice motif, ought to undergird new learning. This…

The Cross Industry Standard Process for Data Mining (CRISP-DM) framework was developed in the 1990s and has been widely used as the most relevant and comprehensive leading principle for conducting analytics projects. Despite the wide acceptance and adoption of the CRISP-DM framework, the current business analytics discipline often focuses on the…

Previous research has investigated the nature of imagination as a construct related to multiple forms of higher-order cognition. Despite the emergence of various conceptualizations of imagination, few attempts have been made to explore the structure of imagination as a trait in the context of existing hierarchically-nested personality dimensions.…

Teamwork skills are commonly evaluated by human assessors, which can be logistically challenging and resource intensive. Technological advancements provide an opportunity for a new assessment method -- virtual behavioural simulations with self-scoring algorithms. This study explores whether a rule-based algorithm can match human assessors at…

In language assessment, AI technology has been incorporated in task design, assessment delivery, automated scoring of performance-based tasks, score reporting, and provision of feedback. AI technology is also used for collecting and analyzing performance data in language assessment validation. Research has been conducted to investigate the…

Artificial Intelligence (AI) based assessments are commonly used in a variety of settings including business, healthcare, policing, manufacturing, and education. In education, AI-based assessments undergird intelligent tutoring systems as well as many tools used to evaluate students and, in turn, guide learning and instruction. This chapter…

Artificial Intelligence (AI) is developing in a manner that blurs the boundaries between specific areas of application and expands its capability to be used in a wide range of applications. The public release of ChatGPT, a generative AI chatbot powered by a large language model (LLM), represents a significant step forward in this direction.…

Electronic learning (e-learning) is considered the new norm of learning. One of the significant drawbacks of e-learning in comparison to the traditional classroom is that teachers cannot monitor the students' attentiveness. Previous literature used physical facial features or emotional states in detecting attentiveness. Other studies proposed…

Estimation of causal effects requires making comparisons across groups of observations exposed and not exposed to a a treatment or cause (intervention, program, drug, etc). To interpret differences between groups causally we need to ensure that they have been constructed in such a way that the comparisons are "fair." This can be…

The purpose of this study was to provide recommendations to improve the practice of incorporating emotional intelligence instructional strategies at Marine Corps University (MCU) in Quantico, Virginia. The problem was that emotional intelligence needs to be consistently addressed in the curriculum at MCU since research and strategic guidance…

Many Library and Information Science (LIS) training programs are gradually expanding their curricula to include computational data science courses such as supervised and unsupervised machine learning. These programs focus on developing both "classic" information science competencies as well as core data science competencies among their…

Books shape how children learn about society and norms, in part through representation of different characters. We use computational tools to characterize representation in children's books widely read in homes, classrooms, and libraries over the last century, and describe economic forces that may contribute to these patterns. We introduce new…

While it is easy to include gifted into society individuals representing the social functions of maintenance or entertainment, it is much more challenging to fully include brilliant intellectuals, who can potentially change society and its power structure by their insights. This paper presents the theory and research underpinning various aspects…

An area of particular importance when examining index scores on the Wechsler Intelligence Scale for Children--Fifth Edition (WISC-V) is the utilization and interpretation of critical values and base rates associated with differences between an individual's subtest scaled score and the individual's mean scaled score for an index. For the WISC-V,…