This study aimed to understand facilitators and barriers to returning to in-person learning for youth, caregivers, and school staff from three communities in the Navajo Nation and the White Mountain Apache Tribe following the 2020 COVID-19-driven school closures. A safe and rapid return to school through effective and acceptable COVID-19…

Artificial intelligence (AI) is rapidly transforming our world, making it imperative to educate the next generation about both the potential benefits and the challenges associated with AI. This study presents a cross-disciplinary curriculum that connects AI and chemistry disciplines in the high school classroom. Particularly, we leverage machine…

Massive open online courses (MOOCs; online courses delivered over the Internet) enable distance learning without time and place constraints. MOOCs are popular; however, active participation level among students who take MOOCs is generally lower than that among students who take in-person courses. Students who take MOOCs often lack guidance, and…

Spanish-speaking students, also identified as Hispanic or Latino/a/x, have been reported to have lower high school graduation rates, and lower enrollment and retention rates in higher education than their peers. Research exists describing technology and emergency remote teaching (ERT) as widening the achievement gap, however Spanish-speaking…

The integration of ICT in foreign language instruction at primary school level has emerged as a significant component of contemporary educational methodologies. This study aims to examine the impact of ICT-based interactive foreign language instruction on the academic performance and attitudes of fourth-grade students towards foreign language…

With the aim to provide teachers with more specific, frequent, and actionable feedback about their teaching, we explore how Large Language Models (LLMs) can be used to estimate "Instructional Support" domain scores of the CLassroom Assessment Scoring System (CLASS), a widely used observation protocol. We design a machine learning…

This study investigates the primary school teachers' perceptions towards the Intelligent Material System (IMS), which was developed to enhance the quality of inclusive environments and support the academic skills of students with Special Educational Needs (SEN). Within this scope, IMS training was conducted with 84 classroom teachers who worked at…

Suddenly, adjusting to a new way of learning is a major challenge for university students. The objective of this article was to study university student determinants of the well-being in the context of the sudden transition towards e-learning imposed by the COVID-19 lockdown. Based on the antecedents linked to the structure of e-learning and its…

Background: Studies in biology have shown that students perceive variation and evolution to be difficult areas to learn. This has sparked rote learning of variation and evolution concepts and is evidenced in poor performance in tests involving these concepts. Purpose: In light of the significant role of variation and evolution in a human's…

Aim/Purpose: This study explores the Knowledge, Attitude, and Perception (KAP) towards ChatGPT among university students and faculty. It also examines the faculty's readiness to cope with the challenges and leverage the opportunities presented by AI-powered conversational models. Background: Launched on November 30, 2022, ChatGPT took the world by…

Multimedia information fusion technology is currently a popular technology for data processing. The advanced productivity it brings is dozens of times that of traditional data information processing. The collected and processed information is not only efficient and accurate, but also has strong scalability. With the continuous development of…

Faculty members impacted by the COVID-19 pandemic inadvertently participated in a historic, widespread, and rapidly occurring educational development phenomenon: the global shift toward emergency remote teaching. We surveyed faculty members (n = 502) at four different institutions (a community college and a small, medium-sized, and large…

Purpose: Digital technology's integration into education has transformed learning frameworks, necessitating the exploration of factors influencing students' engagement in digital informal settings. This study, grounded in self-determination theory (SDT), proposes a model comprising artificial intelligence (AI) competence, chatbot usage, perceived…

This study investigates the relative impact of online delivery of supplemental instruction (SI) to undergraduate students enrolled in STEM courses at a large, four-year, Hispanic Serving Institution (HSI) in the southern United States. A multi-condition, randomized trial comparing the relative performance of in-person to online SI was implemented…

AI-enabled educational tools have great potential for enhancing learning and teaching, yet there is a notable lack of study on AI-focused professional development for K-12 teachers. This phenomenological study employed the TPACK framework to examine teachers' incorporation of AI and engagement in professional development activities. The use of a…