Deep neural networks are increasingly employed to model classroom dialogue and provide teachers with prompt and valuable feedback on their teaching practices. However, these deep learning models often have intricate structures with numerous unknown parameters, functioning as black boxes. The lack of clear explanations regarding their classroom…

Although decades of research attest to the importance of vocabulary teaching and learning, and recent research points to principles of effective vocabulary instruction, the small number of studies on actual classroom practice suggest that teachers continue to use the least effective approaches, often focusing on memorization of definitions.…

"Education is the key to success," one of the most heard motivational statements by all of us. People engage in education at different phases of our lives in various forms. Among them, university education plays a vital role in our academic and professional lives. During university education many undergraduates will face several…

The 6E Learning by Design (LbD) model can enhance student teachers' development of competence for integrating technologies in the classrooms including Artificial Intelligence (AI). However, teacher educators rarely use the 6E LbD model in supporting and encouraging student teachers to integrate AI applications in their classrooms effectively. To…

Science, Technology, Engineering, and Mathematics (STEM) play a prominent role in today's society. At the same time, studies show that the gap in science performance between students from lower socioeconomic background and students from a more advantaged background is wide. Studies further show that role models can have a positive effect and the…

The purpose of this study is to investigate whether the implementation of a belongingness strategy positively influences student performance in an online higher education environment. Belonging is defined as a student's sense of being accepted, respected, encouraged and supported in their college environment by both peers and faculty. This study's…

Using the High School Longitudinal Study of 2009, the association between high school exit exams and mathematics course-taking patterns is explored. Exit exams are linked to a decreased likelihood of students taking upward-bound mathematics during their four years of high school. Exit exams are also associated with fewer mathematics credits…

The study examined how, in the current context of reading reform, teachers' beliefs coalesced and aligned with prevailing paradigms of reading instruction (Science of Reading, Balanced Literacy, and Whole Language). The sample included 14 graduate students (in-service teachers) and 13 undergraduate students (pre-service teachers). Q Methodology…

Gifted education has been recognised as a fractured field that can be categorised using varying paradigmatic approaches. Over the past thirty years, Gagne's Differentiated Model of Giftedness and Talents (DMGT) has maintained a strong influence in Australia, which means that the paradigmatic assumptions that are present in this model have shaped…

Purpose: This study leverages social network analysis (SNA) to visualise the way students interacted with online resources and uses the data obtained from SNA as features for supervised machine learning algorithms to predict whether a student will successfully complete a course. Design/methodology/approach: The exploration and visualisation of the…

In the fall of 2021, the National Institute for Excellence in Teaching (NIET) began partnering with districts in Texas­ with the goals of increasing educator effectiveness and improving student achievement. The partnership, Texas IMPACT (Improving Management Systems for Principals and Classroom Teachers), is supported by a Teacher and School…

The Cognition and Exploratory Learning in the Digital Age (CELDA) conference focuses on discussing and addressing the challenges pertaining to the evolution of the learning process, the role of pedagogical approaches and the progress of technological innovation, in the context of the digital age. In each edition, CELDA, gathers researchers and…

Data in social and behavioral sciences typically contain measurement errors and also do not have predefined metrics. Structural equation modeling (SEM) is commonly used to analyze such data. This article discuss issues in latent-variable modeling as compared to regression analysis with composite-scores. Via logical reasoning and analytical results…

Community colleges provide broad access to a college degree due to their less expensive tuition, greater course time offerings, and more open admission policies compared to four-year universities as reported (Juszkiewicz, 2015). These institutions have great potential to diversify who chooses STEM, such as engineering. Such diverse representation…

Machine learning (ML) models are fundamentally shaped by data, and building inclusive ML systems requires significant considerations around how to design representative datasets. Yet, few novice-oriented ML modeling tools are designed to foster hands-on learning of dataset design practices, including how to design for data diversity and inspect…