Abstract The latest development of Generative Artificial Intelligence (GenAI), particularly ChatGPT, has drawn the attention educational researchers and practitioners. We have witnessed many innovative uses ChatGPT in STEM classrooms. However, studies regarding students’ perceptions as a virtual tutoring tool education are rare. current study investigated undergraduate using physics class an assistant for addressing questions. Specifically, examined accuracy answering questions, relationship...

Abstract To date, many AI initiatives (eg, AI4K12, CS for All) developed standards and frameworks as guidance educators to create accessible engaging Artificial Intelligence (AI) learning experiences K‐12 students. These efforts revealed a significant need prepare youth gain fundamental understanding of how intelligence is created, applied, its potential perpetuate bias unfairness. This study contributes the growing interest in education by examining student modelling real‐world text data....

Multiple myeloma is a hematologic malignancy characterized by the proliferation of abnormal plasma cells in bone marrow. Despite therapeutic advancements, there remains critical need for reliable, noninvasive methods to monitor multiple myeloma. Circulating (CPCs) peripheral blood are robust and independent prognostic markers, but their detection challenging due low abundance. Next-generation flow cytometry commonly used CPC not performed routine clinical practice because it requires...

Generative artificial intelligence brings opportunities and unique challenges to nontraditional higher education students, stemming, in part, from the experience of digital divide. Providing access practice is critical bridge this divide equip students with needed competencies. This mixed‐methods study investigated how interact ChatGPT multiple courses examined relationships between interactions, engagement, self‐efficacy performance. Data were collected 73 undergraduate graduate through...

Augmented reality (AR) has the potential to fundamentally transform science education by making learning of abstract ideas tangible and engaging. However, little is known about how students interacted with AR technologies these interactions may affect performance in laboratories. This study examined high school students’ navigation patterns a mobile technology, developed research team, laboratory settings. The technology allows conduct hands-on experiments interactively explore various...

The current K-12 educational system often does not engage students in interdisciplinary learning. To address this need, we developed an integrated STEM + L (Science, Technology, Engineering, Math, and Digital Literacies) afterschool programme which middle school took discipline-specific roles (writer, scientist, artist, engineer) worked small groups to produce multimodal science fictions. study aims investigate the effect of on students' collaborative learning processes. Two were chosen as...

As AI becomes more widely used across a variety of disciplines, it is increasingly important to teach concepts K-12 students in order prepare them for an AI-driven future workforce. Hence, educators and researchers have been working develop curricula that make these accessible students. We are designing developing comprehensive curriculum delivered through series carefully crafted activities adapted \emph{Snap!} environment middle-grade In this work, we lay out the proposed content our...

Computational thinking (CT) has been advocated as an essential problem solving skill students need to develop. Emphasizing on CT applied in both programming and everyday contexts, we developed a humanoid robotics curriculum computerized assessment instrument. We implemented the with six classes of 125 fifth graders. Quantitative methods were used compare students' performance from pretest posttest. Learning analytics techniques examine processes. The results showed that improved reasoning...

Abstract This study addresses the need for inclusive AI education by focusing on marginalized female students who historically lack access to learning opportunities in computing. It applies theoretical framework of intersectionality understand how gender, race and ethnicity intersect shape these students' experiences outcomes. Specifically, this investigated 27 high‐school cognitive engagement machine practices. We conducted Wilcoxon–Mann–Whitney test explore differences between their peers,...

We present a micro-analysis of youth interactions with large complex, socioeconomic datasets and data visualization tools. Middle high school used georeferenced tools to assemble models that their family migration histories in relation larger trends summer program. Using screen-capture video recordings, field notes, artifacts, we analyzed youth's step-by-step decision-making interaction interfaces wrangling, which define as the practices for selecting, interpreting, integrating order build...

Recently, the ever-increasing vehicle population has become a severe challenge to traffic safety, especially problem of single-vehicle overtaking platoon on Two-Lane Two-Way (TLTW) road. Platooning potential improve efficiency and safety. However, there exists perilous situation "Neither overtake nor give up" when overtakes TLTW This paper presents flexible framework automatically filter large quantity Advanced Driver Assistance Strategies (ADAS) select most suitable driver assistance...

Previous research illustrates the collaborative nature of adolescents' multimodal composing processes. However, few studies have specifically focused on how different modes influence student interactions over time. This study examines multiple (e.g. text, music, visuals, and animations) mediated middle schoolers' processes as they worked in small groups to create science fictions. Situated an afterschool program, each selected role writer, scientist, or designer. Data sources included screen...

Strain analysis provides more thorough spatiotemporal signatures for myocardial contraction, which is helpful early detection of cardiac insufficiency. The use deep learning (DL) to automatically measure strain from echocardiogram videos has garnered recent attention. However, the development key techniques including segmentation and motion estimation remains a challenge. In this work, we developed novel DL-based framework generate measures videos.Three-dimensional (3D) Convolutional Neural...

It's critical to foster artificial intelligence (AI) literacy for high school students, the first generation grow up surrounded by AI, understand working mechanism of data-driven AI technologies and critically evaluate automated decisions from predictive models. While efforts have been made engage youth in understanding through developing machine learning models, few provided in-depth insights into nuanced processes. In this study, we examined students' data modeling practices Twenty-eight...