The COVID-19 pandemic has brought the rapid transition to online quantitative education, leading to unique challenges and opportunities in assessments for both students and instructors. Focusing on undergraduate students and teaching staff at a Canadian university, this study investigates and compares their experiences and perspectives regarding…

"The English Speaking Achievement Test for Japanese Junior High School Students" (ESAT-J) was introduced to contribute to levelling up public English education in Tokyo in 2022. Critics, however, have made claims in the mass media against the use of the test and stakeholder groups have called for its cancellation. This paper presents an…

In the shift to Emergency Remote Teaching and Learning (ERT&L) during the COVID-19 pandemic, remote assessment and feedback became a major source of discontent and challenge for students and staff. This paper is a reflection and analysis of assessment practices during ERT&L, and our theorisation of the possibilities for shifts towards…

Chiang Mai Rajabhat University Test of English Proficiency (CMRU-TEP) is a required English proficiency test for all CMRU students before graduation. Despite its meticulous design, there is an opportunity for students to improve their scores through focused efforts and targeted support. This study employs an explanatory sequential mixed-methods…

With the research reported here, we specifically aim to develop application products of scientific work independence instruments through science integrated learning (SIL) for various education levels (elementary schools, junior high schools, senior high schools, and universities). The SIL model was applied in learning to determine specific…

The COVID-19 pandemic precipitated a rapid shift to virtual learning environments (VLEs) in higher education institutions (HEIs), presenting a complex array of challenges and opportunities. This study investigates the critical factors influencing faculty members' swift transition to VLEs during emergencies, focusing on a semi-government Emirati…

This study inspected how techno-competence in artificial intelligence (AI)-driven evaluations affected EFL learners' boredom, self-esteem, and writing skills. To do so, 66 Saudi Arabian male students from Saudi Arabia participated in the study. They were then split into the experimental group (EG) and the control group (CG). While the CG was…

The COVID-19 pandemic has forced higher education institutions worldwide to rapidly transition to online learning, exposing vulnerabilities and highlighting the critical need for robust ICT infrastructure. This study investigates the readiness of network universities in upper northeastern Thailand to provide education using ICT during the COVID-19…

The digital transformation in educational assessment has led to the proliferation of large-scale data, offering unprecedented opportunities to enhance language learning, and testing through machine learning (ML) techniques. Drawing on the extensive data generated by online English language assessments, this dissertation investigates the efficacy…

This paper employs BP Neural Network (BPNN) theory to evaluate innovation and entrepreneurship education in universities. It utilizes students' evaluation indexes as input vectors and determines the number of hidden layer neurons. Experimental results serve as output vectors. The BPNN method proves reasonable and feasible for vocational education…

Computerized assessments and interactive simulation tasks are increasingly popular and afford the collection of process data, i.e., an examinee's sequence of actions (e.g., clickstreams, keystrokes) that arises from interactions with each task. Action sequence data contain rich information on the problem-solving process but are in a nonstandard,…

Using self-paced reading, the present study compared native English and adult L1-Korean-L2-English speakers' processing behaviors during online comprehension of underinformative scalar sentences and non-scalar sentences like "Some/All elephants have trunks and ears." Results indicate that native speakers showed online sensitivity (i.e.…

The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…

Online teacher education programs can be more situated by engaging student teachers in Internet-based collaborative reflection (ICR) and e-learning-oriented assessment (ELOA) via Web 2.0 technology. Thus, this study explored how the role of English-as-a-foreign-language (EFL) student teachers' ICR practices and ELOA can enhance student teachers'…

The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-In-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this paper, we lay the foundation for DIRTy…