Assessing students' participation in science practices presents several challenges, especially when aiming to differentiate meaningful (vs. rote) forms of participation. In this study, we sought to use machine learning (ML) for a novel purpose in science assessment: developing a construct map for students' "consideration of generality,"…

This study aims to develop multiple intelligence-based textbooks seventh grade junior high school students with material on equations and inequalities. It is hoped that the results of the development of this textbook can improve student learning outcomes, especially in the ability of mathematical representation. The population used was students of…

A working knowledge of Artificial Neural Networks is rapidly becoming critical for navigating the modern world. Although the last few years have seen an explosion of the use of these tools in research, and there are many do-it-yourself articles on the web, they have not yet filtered down to wide implementation in introductory courses. I report…

Background: Implicit theories are important belief systems that influence an individual's motivation and behaviour. In academic contexts, domain-general implicit theories of ability (e.g., intelligence) and their relation to self-regulated learning (SRL) have been examined. Aims: In this study, we followed a domain-specific approach and first…

The aim of this study was to compare the multiple intelligence profiles of students in the Music Education Department of Necmettin Erbakan University, Ahmet Kelesoglu Faculty of Education, Department of Music Teaching of Fine Arts Department, in relation to the variable of music genre to which they preferred to listen. The data collection tool…

Mark and Greer's ("International Journal of Artificial Intelligence in Education," 4(2/3), 129-153, 1993) review was very influential in setting out effective goals and methods for evaluating adaptive educational systems of all kinds. A later review brought the story up to date (Greer, "International Journal of Artificial…

Massive open online courses (MOOCs) provide numerous open-access learning resources and allow for self-directed learning. The application of big data and artificial intelligence (AI) in MOOCs help comprehend raw educational data and enrich the learning process for students and instructors. Thus, we created two deep neural network models. The first…

Awareness of students' learning status, and maintaining students' focus and attention during class are important issues in classroom management. Several observation instruments have been designed for human observers to document students' engagement in class, but the processes are time-consuming and laborious. Recently, with the development of…

Dropout from engineering studies has been linked to 'fixed mindset' beliefs of intelligence as fixed-at-birth that make students more likely to disengage when facing new challenges. In contrast, 'growth mindset' beliefs that intelligence can be improved with effort make students more likely to persist when confronting difficulties. This systematic…

Trait emotional intelligence and evoked empathy may help in a task where emotion-evoking source material is utilized to ideate solutions and services for the end-user. Participants of the current study read life stories of different persons, with perspective-taking instruction to evoke either high or low empathy. The reading was followed with…

The "Current Insights" feature is designed to introduce life science educators and researchers to current articles of interest in other social science and education journals. In this installment, I highlight three that explore how different types of stress can produce different educational outcomes, how studying by writing questions can…

This study investigated the influence of trait emotional intelligence (EI) and self-efficacy (SE) on English as a Second Language (ESL) teachers' effectiveness (TE). The study also explored the mediating role of teacher self-efficacy in augmenting the relationship between trait EI and teacher effectiveness. We adopted a quantitative survey design…

In the US, undeniable evidence shows that socioeconomic inequities explain a high proportion of individual differences in school achievement. Although not all countries show this same effect due to socioeconomic status, it is consistently found that social inequities lead to achievement gaps. These achievement gaps then manifest into trajectories…

A considerable body of research has shown that preschoolers who have a better understanding of emotions also have better social competence. In the present study, we focused on the potential roles that verbal ability and working memory may play in the relationship. A total of 187 4- to 6-year-old preschoolers completed: (i) the Test of Emotion…

The authors report findings on reading and IQ from a contemporary study of 145 individually tested incarcerated men and women in two maximum-security prisons in Louisiana. To their knowledge this study is the first to use the definition of dyslexia from the First Step Act (FSA) and the first to incorporate an IQ measure to differentiate those with…