This dissertation investigates how collective process-oriented documentation tools, combined with Natural Language Processing (NLP) techniques, can enhance knowledge construction in hands-on, open-ended learning environments, such as makerspaces. Through a three-year design-based research, the study developed and tested a collective documentation…

This study explores the effectiveness of experiential learning in teaching generative AI to entrepreneurs and small business owners. The in-person training program, grounded in Kolb's Experiential Learning Theory, aimed to enhance participants' understanding, attitudes, and perceived benefits of AI adoption. Through a structured cycle of Concrete…

The current demand for integrating technology into English language instruction to engage students in meaningful conversations is pressing in the digital era. Despite this, research on employing Google tools for collaborative, task-based activities in English education is scarce, particularly in meeting the needs of today's digital learners and…

Task-based language teaching (TBLT) is widely recognized as an effective approach for developing second language (L2) learners' English skills. However, its success often depends on the teacher's ability to design engaging tasks and dynamic learning platforms that foster active participation. While previous studies highlight the importance of…

This study aimed to examine the effect of incorporating the generative pre-trained AI chatbot, ChatGPT, into an instructor-led writing class on the motivation of Japanese university students. This study examines changes in students' Ideal L2 Self, Ought-to L2 Self, and L2 Learning Experience using Dörnyei's L2 Motivational Self System (L2MSS)…

The aim of the study is to adapt the "Maker-Based Technological Pedagogical Content Knowledge" scale developed by Ku et al. (2021) for pre-service science teachers into Turkish. The study group for the research consists of 188 pre-service science teachers studying at the Department of Science Education at three state universities in…

The purpose of this qualitative descriptive single case study was to understand how college instructors across a variety of discipline areas described the development of their instructional strategies to embed sense of community and cognitive presence in a blended class environment at a university in the Midwest United States. The Community of…

As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced computing technologies, AI performance prediction model is widely used to identify at-risk students that tend to fail, establish student-centered learning pathways, and optimize instructional design and development. A majority of the existing AI…

Language learning engagement has awakened interest in recent decades. This has taken place because engagement enables students to perform physical and mental, goal-directed, and purpose-driven activities. Unfortunately, keeping students emotionally engaged during Emergency Remote Teaching (ERT) remains under-researched. Therefore, this study…

E-learning systems have strengthened the learning process among students by providing online learning opportunities to them. With the diminishing difference between the academic world and the job markets, students must get the full benefits of e-learning platforms. The disparity in online learning opportunities due to a lack of resources has…

This investigation utilized a phenomenological approach to investigate the experience of English language educators in employing artificial intelligence (AI) tools into English language learning. The study used purposive sampling and 20 participants were interviewed. The data analysis was guided by Bronfenbrenner's (1979) ecological systems…

This case study reviews the implementation of a learning analytics (LA) system at a large southeastern university. The LA system uses cloud computing to automate data collection and distribution, providing faculty with insights into student performance and engagement. The system includes weekly alert emails and dashboards offering detailed…

This paper addresses the limited exploration of the impact of virtual and augmented reality on the learning process, particularly within the context of foreign language learning among young learners. Motivated by this research gap, the EULALIA, conducted from 2019 to 2023 (2019-1-IT02-KA203-063228), sought to evaluate the efficacy of integrating…

The COVID-19 outbreak has seen the largest-scale emergency remote teaching in world history. Drawing on concepts of teacher belief and teacher agency, this study seeks to explore whether teachers' beliefs about teacher roles may influence their agentive use of online technology amid and after COVID-19. By tracing four English as a Foreign Language…

The evolving Metaverse in Higher Education (HE) in Mexico can enrich pedagogy, facilitate skills development, and improve students' learning experience. This research aimed to identify the factors guiding the adoption of the Metaverse in a Business School in Mexico. A survey analysis was conducted to gauge insights from stakeholders on the…