Learning path generation involves the computation of learning trajectories to personalize academic instruction to prevent school problems. The Educational Planning Problem (EPP) considers generating personalized learning paths by scheduling activities that satisfy expected grades while minimizing plans makespan. In this work, we propose two…

The purpose of this quantitative correlational study was to determine if and to what extent statistically significant correlations exist between high school STEM teachers' attitudes toward the use of computer technology and the duration of software utilization in their classrooms in the United States. This research was based on the Unified Theory…

This research examines the implementation of virtual reality into an effective speaking course at a small business college in New England. The researchers detail how they piloted the use of MetaQuest 2 headsets to students for round-the-clock availability of public speaking software in an Effective Speaking course. Students were administered a…

R is becoming the standard for teaching statistics due to its flexibility, and open-source nature, replacing software programs like Minitab and SPSS. The main driver for reform within Scottish statistical undergraduate programs is the creation of the Scottish Qualification Authority's Higher Applications of Mathematics course which has statistics…

To promote computational thinking in mathematics education, Scratch is used to foster students' computational thinking and mathematical understanding. However, students face challenges in block-based programming environments, such as having low motivation, high anxiety, and cognitive loads. This study combined the pedagogical values of Geogebra…

The study sought to examine the gender, faculty and school-based disparity that exists in students' research self-efficacy, perception of ethics in research and the level of stress they face in conducting research. A sample of 385 undergraduate students from the faculty of business and hospitality were selected from three public universities in…

The public release of ChatGPT in November 2022 brought excitement and concerns regarding students' use of language models in higher education. However, little research has empirically investigated students' intention to adopt ChatGPT. This study developed a theoretical model based on the Unified Theory of Acceptance and Use of Technology (UTAUT)…

Anatomy is fundamental to medical disciplines. However, its complexity can be challenging to learners, and traditional anatomy teaching may not be easily accessible. Virtual Reality has the potential to supplement anatomy education, but its effectiveness depends on students' willingness to accept it. This study aimed to measure students'…

This study seeks to deepen the understanding of the direct and indirect effects of human-computer dialogic interaction programming activities, facilitated by ChatGPT, on student engagement. Data were collected from 109 Chinese high school students who engaged in programming tasks using either ChatGPT-driven dialogic interaction or traditional pair…

Hackathons are characterized by their dynamic and collaborative nature, acting as incubators for innovation in diverse contexts. They are celebrated for nurturing creativity and tackling current challenges while offering distinctive educational opportunities. However, participants' lack of confidence and increased anxiety can diminish the utility…

Purpose: This study investigates the impact of AI-assisted pair programming on undergraduate students' intrinsic motivation, programming anxiety, and performance, relative to both human-human pair programming and individual programming approaches. Methods: A quasi-experimental design was conducted over two academic years (2023-2024) with 234…

Accurate assessment of saliva sampling time is essential for studies that collect cortisol sample in ambulatory settings. This study examined the sampling time assessed by user-submitted photos via a mobile application (ZEMI) compared with MEMSCaps™. Intra-class correlation coefficient (ICC) of the time differences between when the 16 adolescents…

Mindfulness apps have shown promise to reduce stress and improve well-being among college students however the mechanisms of these beneficial effects are less clear. In addition, findings are inconclusive about the necessary dose of mindfulness app usage to achieve improvements in mental health. Thus, more dose-response research is needed on…

This paper proposes a framework for integrating generative artificial intelligence (AI) tools into statistical training for Doctor of Education (EdD) students. The rigorous demands of doctoral education, coupled with the challenges of learning complex statistical software and coding language, often lead to anxiety and frustration among students,…

This dissertation was developed in response to a significant rise in stress, anxiety, and depression within the adolescent population during 2019-2021. The research was exploratory in nature to determine the feasibility of utilizing targeted social emotional mobile applications with high school students. A single case study design with changing…