Generative artificial intelligence (AI) has the potential to revolutionize social science research. However, researchers face the difficult challenge of choosing a specific AI model, often without social science-specific guidance. To demonstrate the importance of this choice, we present an evaluation of the effect of alignment, or human-driven…

Over the past decade, social scientists have adapted computational methods for qualitative text analysis, with the hope that they can match the accuracy and reliability of hand coding. The emergence of GPT and open-source generative large language models (LLMs) has transformed this process by shifting from programming to engaging with models using…

The growing integration of artificial intelligence (AI) into everyday life necessitates a transformation in machine learning (ML) education and development practices, empowering end users with domain knowledge to independently design, train, test, and deploy specialized ML models. However, the technical complexity of ML, particularly in areas such…

This study presents a mobile application (app) that facilitates undergraduate students to learn data science using their own full-body motion data. The app captures a user's movements through the built-in camera of a mobile device and processes the images for data generation using BlazePose, an open-source computer vision model for real-time pose…

Automated multiple-choice question (MCQ) generation is valuable for scalable assessment and enhanced learning experiences. How-ever, existing MCQ generation methods face challenges in ensuring plausible distractors and maintaining answer consistency. This paper intro-duces a method for MCQ generation that integrates reasoning-based explanations…

In higher education, a primary concern with online learning versus in-person learning centers on offering and facilitating effective communication and collaboration opportunities for students. New technologies, specifically free and open source system (FOSS) applications, help bridge these gaps by giving instructors and students the means to…

The integration of different technologies for formative assessment activities into the classroom is very important for the effectiveness of learning and teaching processes. This study is an experimental study in which the student teachers designed jupyter notebooks as formative assessment activities for specified aims and subject contents. For…

In the current educational environment, e-learning and online education have gained significant prominence, especially highlighted during the COVID-19 pandemic when their importance increased dramatically. Empirical evidence highlights the undeniable benefits of online learning, with learners globally appreciating the flexibility to access course…

Large Language Models (LLMs) hold promise as dynamic instructional aids. Yet, it remains unclear whether LLMs can replicate the adaptivity of intelligent tutoring systems (ITS)--where student knowledge and pedagogical strategies are explicitly modeled. We propose a prompt variation framework to assess LLM-generated instructional moves' adaptivity…

Researchers often study dynamic processes of latent variables in everyday life, such as the interplay of positive and negative affect over time. An intuitive approach is to first estimate the measurement model of the latent variables, then compute factor scores, and finally use these factor scores as observed scores in vector autoregressive…

This research will analyze the issues encountered by two science teachers implementing Arduino-based robotic coding projects. This research employed a case study design. This research has used a criterion sampling group. This study used semi-structured observation, interviews, and video observations as data collection tools. The teachers conducted…

This study explores the integration of H5P (HTML5), an open-source content creation platform, in a teacher preparation program at a medium-sized public university in the south of the USA. Conducted over five semesters, the research involved 94 undergraduate students (pre-service teachers). The study aimed to evaluate the pedagogical effectiveness…

Caregivers (i.e., parents and members of a child's caring community) are underappreciated stakeholders in learning analytics. Although caregiver involvement can enhance student academic outcomes, many obstacles hinder involvement, most notably knowledge gaps with respect to modern school curricula. An emerging topic of interest in learning…

This qualitative study examined the perspectives of educational professionals on integrating H5P technology to foster self-regulated learning (SRL) in blended learning environments at a post-secondary institution in Ontario, Canada. Using a phenomenological approach, data were collected through semi-structured interviews with five educators, five…