Contribution: This study qualitatively uncovered meaning for why and what was motivating to undergraduates participating in an educational human-robot interaction (HRI) experience. A data corpus of four documents (groups) was evaluated from a quasi-experimental, nonequivalent control (n = 23) and treatment (n = 61) research design revealing three…

Automated image analysis has received increasing attention in social scientific research, yet existing scholarship has mostly covered the application of supervised learning to classify images into predefined categories. This study focuses on the task of unsupervised image clustering, which aims to automatically discover categories from unlabelled…

Based on the Job Demands-Resources theory, this research investigated the multiple mediating role of special education teachers' social support and work engagement in the relationship between their emotional intelligence and job performance. Data of 710 Chinese mainland teachers in special education schools were analyzed. The results showed that…

This position paper introduces the idea of cognicy, the foundational ability to think and understand in a process that decouples cognitive processes from their tangible outcomes. Generative artificial intelligence (AI) can produce output often nearly indistinguishable from a human product, which presents a problem for educational assessment.…

Industrial and academic laboratories are undergoing a paradigm shift in process technology from batch to modular flow. Implementation of modular flow processes can enable more efficient operation with superior throughput, scalability, and safety factors owing to superior transport and reaction kinetics. However, both fine chemical and…

Students' view of intelligence (i.e., their mindset beliefs) has been found to be related to their self-efficacy and goal orientations as well as to influence their course outcomes. Comparisons of students' chemistry mindset between different groups found that organic chemistry I students held more of a growth mindset than general chemistry I…

An increasing number of students have been adopting AI technology for more personalized learning experiences. This exploratory study investigates the perceptions of 55 undergraduate students regarding the integration of ChatGPT into their learning. Several current perspectives on ChatGPT have focused on academic integrity and its ethical use.…

This study examines receptive-expressive language, gross-fine motor skills, and IQ abilities in 78 children, 43 children with an older sibling with autism spectrum disorder (Sibs-ASD) and 35 children with an older sibling with typical development, ranging from 4 to 11 years of age. Depending on age, both groups were divided in preschool and school…

The Georgia Institute of Technology is proud to host the seventeenth International Conference on Educational Data Mining (EDM) in Atlanta, Georgia, July 14-July 17, 2024. EDM is the annual flagship conference of the International Educational Data Mining Society. This year's theme is "New tools, new prospects, new risks--educational data…

Large Language Models (LLMs) have prompted widespread application across diverse domains. In some applications, human-like quality in output is essential for optimal user experience and credibility. This is particularly evident in applications such as Chatbots. Conversely, concerns arise regarding LLM use in contexts where human authenticity is…

For middle-school math students, interactive question-answering (QA) with tutors is an effective way to learn. The flexibility and emergent capabilities of generative large language models (LLMs) has led to a surge of interest in automating portions of the tutoring process--including interactive QA to support conceptual discussion of mathematical…

The rapid adoption of Artificial Intelligence in various industries and the emergence of Generative Artificial Intelligence (GenAI) in recent years have prompted highlighted interest in training and supporting university students to develop industry-oriented AI literacy competencies. "Effective Practices in AI Literacy Education" serves…

There is less attention on examining algorithmic fairness in secondary education dropout predictions. Also, the inclusion of protected attributes in machine learning models remains a subject of debate. This study delves into the use of machine learning models for predicting high school dropouts, focusing on the role of protected attributes like…

The integration of artificial intelligence (AI) into parenting practices has gained significant attention, but there is limited understanding of how demographic factors influence the engagement and perceptions of AI-assisted parenting. This study aims to address this gap by examining the demographic profile of individuals engaging in AI-assisted…

The present study examined the factor structure of the Differential Ability Scales--Second Edition (DAS-II) core subtests from the standardization sample via confirmatory factor analysis (CFA) using methods (bifactor modeling and variance partitioning) and procedures (robust model estimation due to nonnormal subtest score distributions)…