The main objective of this paper is the conceptual design of a computational AI system that emulates human creativity. To do this, extensive research has been done on recent discoveries about the neural bases of human creativity. As a result, eleven neurocognitive factors have been identified on which the tremendous creative capacity of the human…

Employers expect engineering graduates to be prepared for their entry-level positions in the rapidly advancing civil engineering industry. Employability, defined as developing capabilities for successful and sustainable career development, can help explain students' preparedness for the workforce. While prior studies identified various skills…

We explored the mediating role of prior knowledge on the relation between intelligence and learning proportional reasoning. What students gain from formal instruction may depend on their intelligence, as well as on prior encounters with proportional concepts. We investigated whether a basic curriculum unit on the concept of density promoted…

Disproportionate representation of culturally-linguistically diverse (CLD) students in special education has been well documented. Existing research has largely focused on the attitudes and beliefs of classroom teachers and the processes that lead to these placements. Few studies have examined how the perspectives of child study team (CST) members…

This phenomenological study explored the effects of five constructs of learning on student employability as perceived by secondary CTE teachers at a career center in Southeast Texas. Interviews of 11 career center instructors were coded and analyzed using thematic analysis to reveal themes for interpretation. The learning and employability model…

Trauma-informed teaching begins with the understanding of how trauma can impact learning and behavior. The need for trauma-informed teaching practices has increased, particularly with the uncertainties of the ongoing COVID pandemic. Even with the mandate of social-emotional curriculums in schools, trauma-informed teaching practices are not…

Audio-visual recording and location tracking produce enormous quantities of digital data with which researchers can document children's everyday interactions in naturalistic settings and assessment contexts. Machine learning and other computational approaches can produce replicable, automated measurements of these big behavioral data. The…

Teacher-centered learning has no ability in empowering students' science process skills and interpersonal intelligence. This study aimed at analyzing the effect of guided inquiry on students' Science Process Skills (SPS) and Interpersonal Intelligence (II). This quasi-experiment used nonequivalent control group design. This study involved control…

This study aims to determine the relationship of junior high school students' spatial and mathematical logical intelligence based on understanding the concepts. Spatial intelligence indicators in this study are reviewed from students' abilities in using images as a tool for solving problems, connecting data with concepts that have been held, and…

The COVID-19 epidemic is affecting all areas of life, including the training activities of universities around the world. Therefore, the online learning method is an effective method in the present time and is used by many universities. However, not all training institutions have sufficient conditions, resources, and experience to carry out online…

Advanced Item Response Theory (IRT) practices serve well in understanding the nature of latent variables which have been subject to research in various disciplines. In the current study, 7-12 aged 2536 children's responses to 20- item Visual Sequential Processing Memory (VSPM) sub-test of Anadolu-Sak Intelligence Scale (ASIS) were analyzed with…

Nowadays many companies and institutions are interested in learning what do people think and want. Many studies are conducted to answer these questions. That's why, emotions of people are significant in terms of instructional design. However, processing and analysis of many people's ideas and emotions is a challenging task. That is where the…

Identifying students at risk of failing a course has potential benefits, such as recommending the At-Risk students to various interventions that could improve pass rates. The challenges however, are firstly in measuring how effective these interventions are, i.e. measuring treatment effects, and secondly, to not only predict overall (average)…

The purpose of this case study is to demonstrate how to utilize machine learning approaches to analyze student process data for validating and informing digital game-based assessments (DGBAs) with an evidence-centered game design (ECgD). The first analysis was conducted to examine whether students' mastery of the overall skill required by the game…

The role of emotions in student engagement has been examined in many studies. However, little is known about how emotional intelligence (EI) is related to engagement and other key learning outcomes in higher education. To fill this gap, this study examined how EI is associated with student engagement and how EI and engagement jointly predict key…