While synthesis projects are not uncommon in the undergraduate organic curriculum, the problems posed are usually not representative of what chemists actually do. The sudden dislocation to online learning precipitated by the COVID-19 pandemic provided both a need and an opportunity to develop an organic synthesis project with greater relevance to…

Quality feedback is crucial to learning; the growth of online delivery has altered how it is obtained and shared. Educators interested in improving online learning can benefit from understanding formal and informal feedback flows existing in face-to-face environments and how these transfer online. This article examines the nuance of informal…

This study aimed at investigating the relationship between the parenting styles and emotional intelligence of a sample of kindergarten children in Zarqa II Governorate, Jordan. To achieve this objective, two measures were utilized, namely, the emotional intelligence scale of the kindergarten children and the parenting styles scale on a sample of…

This study investigated how preschool children processed and understood critical information in Magical Garden, a teachable agent-based play-&-learn game targeting early math. We analyzed 36 children's (ages 4-6 years) real-time behavior during game-use to explore whether children: (i) processed the information meant to support number sense…

This study aimed to assess the emotional intelligence and work values of the selected instructors from a teacher education institution. The researcher used a descriptive correlational design in this study with the questionnaire as the main instrument of gathering data. Thirty instructors took part in the survey via convenience sampling. For the…

Although the general purpose in this research is to use the artificial neural network model in mathematics education, the main purpose is to show the relationship between students' tendency towards the types of mathematical proof and the learning styles they have by using the artificial neural network model. In addition, SOM-Ward clustering…

Extensive literature in artificial intelligence in education focuses on developing automated methods for detecting cases in which students struggle to master content while working with educational software. Such cases have often been called "wheel-spinning," "unproductive persistence," or "unproductive struggle." We…

Scientific understanding of the nature of intelligence has steadily evolved over the years; however, the past century has seen an explosion of research aimed at understanding the construction of intelligence, the relationships between neuroscience and cognitive skills, and the best ways to measure intellectual abilities. While there is no clear…

With the increased adoption and use of smart home speakers in households, many young children have learned to use listening and speaking to interact with the voice assistants (VAs) for a variety of daily activities (e.g., asking questions, listening to music). Despite the proliferation of VAs, due to the technical limitations such as automatic…

Media like videogames (and novels, film, music, etc.) play an important role in most people's lives, and creation and comprehension of these works benefit from critical study. Scholarly analysis of media has been facilitated by information retrieval technology, which not only saves time, but also makes it possible to ask new kinds of questions.…

University instructors' goals for teaching are important for teaching quality. However, studies examining factors that shape instructors' goal adoption are lacking. Using data from 785 instructors, we investigated whether implicit theories (ITs) about the malleability of intelligence constitute one such factor. Following achievement goal theory…

Purpose: This article aimed to document longitudinal changes in auditory function, including measures of temporal processing, and to examine the associations between observed changes in auditory and cognitive function in middle-aged and older adults. Method: This was a prospective longitudinal study of 98 adults (66 women) with baseline ages…

Contribution: This study applies supervised and unsupervised machine learning (ML) techniques to discover which significant attributes that a successful learner often demonstrated in a computer course. Background: Students often experienced difficulties in learning an introduction to computers course. This research attempts to investigate how…

"Stimulus over-selectivity" describes a phenomenon in which an individual responds only to a subset of the stimuli present in the environment and, thus, may restrict learning. This study aimed to develop understanding of the nature and role of over-selectivity in autism spectrum disorder (ASD) by analyzing the relationship of…

The research aimed to: 1) develop the chatbot; 2) evaluate its effectiveness; and 3) investigate its effects on students' research knowledge. The sample consisted of 36 Thai university students. The research instruments consisted of: 1) the chatbot; 2) an evaluation form; 3) an effectiveness questionnaire; and 4) research tests. Data analysis used…