The use of adaptive comparative judgement (ACJ) for assessment in technology education has been topical since its introduction to the field through the e-scape project coordinated by the Technology Education Research Unit in the United Kingdom. In the last decade, however, there has been an increasing volume of research examining how ACJ can and…

Integrating ChatGPT into educational contexts has become prevalent due to its potential to revolutionize teaching, learning, and research. However, to ensure positive use, it is necessary to design learning environments that effectively incorporate this technology. This study employed self-determination theory as an undergirding framework to…

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 examined the effects of reflective practices (RP) on self-directed learning competencies (SDLC) as well as the relationship between technology-mediated collaborative learning (TMCL) as a reflective practice and SDLC in a preservice teachers' class. Regression analyses were conducted to examine the effects of RP on SDLC. In addition, a…

Flipped learning is gaining prominence in EFL classrooms, where it has been shown to provide various advantages. However, the literature has not adequately addressed the integration of L2 interaction outside the classroom into flipped learning design. Accordingly, given the ubiquitous and interactive nature of chatbot technology, we designed a…

Statistical tables associated with named probability distributions and their families, such as the standard normal, Student's t, and chi-square tables, among others, have been utilized for years and are still widely used today, especially for mathematics and statistics education. While such tables can be found in many statistics textbooks and even…

The COVID-19 pandemic forced the digitalization of education to be accelerated to continue the teaching-learning processes in confined populations. The irruption of this fact caused the evolution that had previously been occurring in the integration of digital technologies, and in general information and communication technologies (ICT), in…

This study aimed to evaluate the utility of artificial intelligence (AI) in improving the persuasive communication skills of online Master of Business Administration (MBA) students. In particular, this study investigated the influence of personalization through AI using the Google Gemini platform on conventional and online instructional…

Automatic speech recognition (ASR) technology affords language learners the ability to evaluate their pronunciation accuracy by comparing their intended spoken output with the transcribed text produced by ASR-based dictation applications. However, earlier dictation tools were criticized for producing low level recognition rates for non-native…

This dissertation consists of three papers. In each paper, I leverage a different quantitative method to study a downstream effect of technology on educational outcomes. In the first paper, I study the impact of an online math learning program on 3rd through 5th grade math achievement in Louisiana. Employing Zearn Math usage metrics and…

Background: This study investigates the use of large language models to create adaptive, contextually relevant survey questions, aiming to enhance data quality in educational research without limiting scalability. Purpose: We provide step-by-step methods to develop a dynamic survey instrument, driven by artificial intelligence (AI), and introduce…

The capabilities of large language models (LLMs) in language comprehension, conversational interaction, and content generation have led to their widespread adoption across various educational stages and contexts. Given the fundamental role of education, concerns are rising about whether LLMs can serve as competent teachers. To address the…

Background: Generative artificial intelligence (AI) represents a potentially powerful, time-saving tool for grading student essays. However, little is known about how AI-generated essay scores compare to human instructor scores. Objective: The purpose of this study was to compare the essay grading scores produced by AI with those of human…

The Fuzzy Analytic Hierarchy Process (FAHP) was employed to evaluate and rank language-learning applications based on criteria such as engagement, interactivity, feedback, content quality and usability. A pairwise comparison matrix was constructed, fuzzy logic was applied to convert qualitative judgements into numerical values, and these values…

The study explored the educational potential of the application of student-generated digital visual content for learning English as a second language (ESL) by undergraduate students enrolled in the course Foreign Language which is actually Introduction to Legal English. This study used a mixed-methods approach. The researchers designed a…