Nurturing twenty-first-century competency is one important agenda in this era, especially in developing collaborative learning and critical thinking skills. Yet, facilitating such a computer-supported collaborative learning (CSCL) environment is challenging. Although several technological platforms from past research studies were developed to…

This exploratory sequential mixed methods case study investigates how K-3 teachers utilize educational technology to enhance literacy instruction integration. Through a combination of semi-structured interviews, classroom observations, surveys, and artifact reviews, the study thoroughly examines the factors influencing technology selection and its…

This paper systematically explores how Large Language Models (LLMs) generate explanations of code examples of the type used in intro-to-programming courses. As we show, the nature of code explanations generated by LLMs varies considerably based on the wording of the prompt, the target code examples being explained, the programming language, the…

Due to the difficulties of speech signal processing, there is still a considerable gap between the ability of machines to correctly process and that of human beings. In order to overcome the defects of isolated learning and noise sensitivity of SOM, this paper proposes a new time self-organization model (TSOM) from the perspective of deep…

Creative music skills promote much more divergent thinking perceived as a key element of creativity. The current research examines how music-making software enhances creative thinking skills in music. The research discusses the impact of music-making multimedia software on creative thinking development while creating musical pieces of a variety of…

The increasing volume of large-scale assessment data poses a challenge for testing organizations to manage data and conduct psychometric analysis efficiently. Traditional psychometric software presents barriers, such as a lack of functionality for managing data and conducting various standard psychometric analyses efficiently. These challenges…

Virtual worlds, like Second Life, are transformative innovations in education. These immersive 3D environments offer teachers and students unique opportunities beyond traditional classrooms. They foster active learning, allowing students to interact, manipulate objects, and engage with diverse content. This multimodal approach accommodates various…

Educational games are effective learning tools frequently used to motivate students and enhance their engagement in the learning process. Using these games in challenging courses, such as organic chemistry, creates a more engaging and student-friendly learning environment that can enhance students' learning. Drawing organic compounds and…

Adaptive educational software is likely to better support broader and more diverse sets of learners by considering more comprehensive views (or models) of such learners. For example, recent work proposed making inferences about "non-math" factors like reading comprehension while students used adaptive software for mathematics to better…

Predictive coding theories suggest that core symptoms in autism spectrum disorders (ASD) may stem from atypical mechanisms of perceptual inference (i.e., inferring the hidden causes of sensations). Specifically, there would be an imbalance in the precision or weight ascribed to sensory inputs relative to prior expectations. Using three tactile…

To have software tools that facilitate the rapid development of applications and generate information systems is a requirement in a globalized world. Worldwide in the engineers training field it is basic to apply measurements and evaluations to the rapid design tools used to obtain applications faster and generate quality information systems in…

Learning science is a social enterprise that involves students communicating ideas, observations, and findings. Navigating talk between students about scientific concepts and practices is a complex task for teachers. Traditionally, science educators have used a method called microteaching (teaching to peers) as a context for practicing teaching.…

Educational process mining aims (EPM) to help teachers understand the overall learning process of their students. Although deep learning models have shown promising results in many domains, the event log dataset in many online courses may not be large enough for deep learning models to approximate the probability distribution of students' learning…

Machine translation (MT) is the automated process of translating text between different languages, encompassing a wide range of language pairs. This study focuses on non-professional bilingual speakers of Turkish and English, aiming to assess their ability to discern accuracy in machine translations and their preferences regarding MT. A particular…

This study investigated the effect of using Stoodle software program on Iranian EFL teachers' autonomy, creativity, and work engagement in the light of teaching experience and gender. The participants comprised 60 EFL teachers including 30 male (15 novice and 15 experienced) and 30 female (15 novice and 15 experienced) teachers teaching at five…