With growing research attention in artificial intelligence in education (AIED), there is a profusion of systematic reviews that have investigated AI integration in a wide variety of educational contexts, including PreK-12 schools and higher education. Even though existing systematic reviews have explored effects of AI on education, few studies…

This teaching tip offers valuable insights into establishing a GenCyber student camp in underserved communities. It provides teaching tips and best practices for designing a curriculum tailored to high school students. The study highlights effective strategies for recruiting a diverse group of participants, addressing the global shortage in the…

Large Language Models (LLMs) are rapidly gaining attention across the open-source and commercial fields, bolstered by their constantly growing capabilities. While such models have a vast array of applications, their integration into higher education--as supportive tools for lecturers--has been largely unexplored. Exploring this area entails…

Programming demands a variety of cognitive skills, and mastering these competencies is essential for success in computer science education. The importance of formative feedback is well acknowledged in programming education, and thus, a diverse range of techniques has been proposed to generate and enhance formative feedback for programming…

In response to rapid technological advancements, higher education institutions face an urgent need for innovative, competency-based learning systems to address workforce development challenges. This research aims to design and validate the competency-based MOOC system architecture using microlearning objects, referred to as the digital MicroLearn…

Examination of the effectiveness of an attention intervention using a randomized controlled trial for toddlers with suspected or confirmed autism spectrum disorder (ASD). Data was collected from Alberta, Ontario, and Nova Scotia, Canada between February 2018 and February 2020 (halted due to COVID-19 pandemic). Participants were 35 toddlers…

The current insertion of Machine Learning (ML) in our everyday life demonstrates the importance of introducing the teaching of a basic understanding of ML already in school. Accompanying this trend arises the need to assess the students' learning of ML, yet so far only a few assessment models have been proposed, most of them rather simple, based…

Digital adoption has increasingly been seen as a key driver for accelerating human development. However, contextual factors affect digital adoption in a particular geographical setting. These factors have gendered differences due to systemic patriarchy and social stereotypes. There is limited scholarship on identifying such factors and gender…

The aim of this study is to examine the effect of Micro:bit applications with the participation of 6th grade students on students' attitudes towards coding. In addition participants' opinion regarding Micro:bit applications were examined. In this quantitative study, six-week applications with Micro:bit coding content were carried out using the…

As online spaces for mathematics content and lesson plans become more accessible, teachers are exploring these websites to make decisions about instructional materials for their courses. These resources then have an impact on what is enacted in the classroom and what opportunities students have to learn mathematics. One of the most popular online…

The aim of the current study is to develop a detailed understanding of how thirdgrade primary school students construct 3D printers in their minds based on their initial knowledge about 3D printers. This study, which was conducted with a phenomenological design, is one of the qualitative research methods. The participants of the study consisted of…

Recent developments in the field of artificial intelligence allow for improved performance in the automated assessment of extended response items in mathematics, potentially allowing for the scoring of these items cheaply and at scale. This study details the grand prize-winning approach to developing large language models (LLMs) to automatically…

Human anatomy dissection serves as a cornerstone of medical education, fostering not only anatomical knowledge but also teamwork and professionalism. Given the considerable intellectual, physical, and emotional demands of dissection, effective team dynamics are essential for student success. To enhance learning experiences and academic outcomes,…

In today's vocational education, preparing prospective vocational teachers requires developing innovative, creative thinking that strengthens pedagogical competence and classroom management. These abilities help address the complexity of modern vocational classes and support a positive, engaging learning environment. This study examines how…

In educational assessments, detecting aberrant test-taking behaviors is crucial for ensuring test validity and reliability. We propose a deep learning method based on a one-dimensional convolutional neural network (1D-CNN) combined with a sliding window technique, and detect aberrant behaviors by analyzing responses and response times. To validate…