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 research delves into the transformative potential of humanoid robotics and artificial intelligence (AI) in the field of Teaching English to Speakers of Other Languages (TESOL), spotlighting their innovative contributions to modern language instruction. With a focus on robot-assisted language learning (RALL) and AI-powered tools, particularly…

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)…

This study examines the potential of ChatGPT to enhance grammar development in an academic writing context, where grammar instruction is often overlooked. Adopting a qualitative case study, this research explores how a localized version of ChatGPT can assist first-year undergraduate students in improving their grammar in writing tasks. The study…

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…

The growing integration of technology into society highlights the need for educational transformation to better equip students for future challenges and the evolving labor market. Digital game-based learning (DGBL) has emerged as a promising strategy for enhancing learning using interactive digital games. This study investigates the implementation…

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…