For item selection in cognitive diagnostic computerized adaptive testing (CD-CAT), ideally, a single item selection index should be created to simultaneously regulate precision, exposure status, and attribute balancing. For this purpose, in this study, we first proposed an attribute-balanced item selection criterion, namely, the standardized…

In this study, how the length and characteristics of routing module in different panel designs affect measurement precision is examined. In the scope of the study, six different routing module length, nine different routing module characteristics, and two different panel design are handled. At the end of the study, the effects of conditions on…

Peer-grading is commonly adopted by instructors as an effective assessment method for MOOCs (Massive Open Online Courses) and SPOCs (Small Private online course). For solving the problems brought by varied skill levels and attitudes of online students, statistical models have been proposed to improve the fairness and accuracy of peer-grading.…

This work presents a study that used distributed language representations of test items to model test item difficulty. Distributed language representations are low-dimensional numeric representations of written language inspired and generated by artificial neural network architecture. The research begins with a discussion of the importance of item…

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…

This paper presents results of a score interpretation study for a computer adaptive mathematics assessment. The study purpose was to test the efficacy of item developers' alignment of items to Range Achievement-Level Descriptors (RALDs; Egan et al.) against the empirical achievement-level alignment of items to investigate the use of RALDs as the…

In the traditional conception of working memory for word lists, phonological codes are used primarily, and semantic codes are often discarded or ignored. Yet, other evidence indicates an important role for semantic codes. We carried out a preplanned set of four experiments to determine whether phonological and semantic codes are used similarly or…

Scores from computer-based tests are increasingly used to inform a variety of school- and student-level decisions. An underlying assumption is that the associated scores represent effortful responding by each student with respect to the tasks presented. An innovative method for examining evidence for this assumption involves an examination of item…

Technology has paved the way for new modalities in language learning, teaching, and assessment. However, there is still a great deal of work to be done to develop such tools for oral communication, specifically tools that address suprasegmental features in pronunciation instruction. Therefore, this critical literature review examines how…

The properties of a blockchain such as immutability, provenance, and peer-executed smart contracts could bring a new level of security, trust, and transparency to e-learning. In this paper, we introduce our proof-of-concept blockchain-based e-learning platform developed to increase transparency in assessments and facilitate curriculum…