This study examined the effect of mobile-mediated dynamic assessment on reading comprehension and reading fluency skills of Iranian L2 learners. With 50 Iranian L2 learners, randomly assigned to the experimental and control groups, a pretest-posttest control group design was used. Whereas the control group received traditional instructor…

Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…

It has been suggested that the reading acceleration program (RAP) (Breznitz et al. in Nature Communications 4: 1486, 2013), in which participants are forced to read at a rate faster than their normal reading fluency rate, improves reading fluency and comprehension in alphabetic languages. However, its effectiveness has never been examined in…

Improving early mathematical competence is a major priority worldwide; thus, assessing early math abilities is critical. Although various international standardized instruments serve this purpose, their usage in underdeveloped countries is prohibitive due to their resource-intensive requirements. In this report, we explore the development of the…

This article provides a detailed review of the Computer-based English Listening Speaking Test (CELST) used in Guangdong, China, as part of the National Matriculation English Test (NMET) to assess students' English proficiency. The CELST measures listening and speaking skills as outlined in the "English Curriculum for Senior Middle…

This study investigates the role of educational technology, including artificial intelligence (AI), in improving learning outcomes and addressing the complexities of multi-grade classrooms. A qualitative research method based on the analysis of scientific papers was employed. The findings of the study include an examination of the role of AI in…

This study investigates the impact of artificial intelligence (AI) on personalized learning, automated assessment and feedback, intelligent tutoring systems, and student engagement in online learning environments. The research focuses on fourth-year English major students at a university in the Mekong Delta region, utilizing a mixed-methods…

This meta-synthesis study examines the use of digital assessment tools in education, focusing on their prevalence, benefits, limitations, and recommendations for effective integration into teaching processes. Based on 41 empirical studies published between December 2012 and January 2023, this study follows the thematic synthesis approach proposed.…

Ongoing professional development is a critical component of high-quality early childhood education systems. To guide the content of such professional development, teacher and classroom quality assessments are often used. These assessments generally address universal or tier 1 instruction but omit information to guide teachers' practices to support…

Background: Number line accuracy (NL accuracy) shows improvement over the course of a school education. However, there are practically no cross-country longitudinal studies of NL accuracy over the whole course of elementary school. Aims: This study investigated the developmental trajectories of NL accuracy and its types across the elementary…

The aim of the present study is to reconcile previous findings (a) that testing mode has no effect on test outcomes or cognitive load (Comput Hum Behav 77:1-10, 2017) and (b) that younger learners' working memory processes are more sensitive to computer-based test formats (J Psychoeduc Assess 37(3):382-394, 2019). We addressed key methodological…

Research on dynamic assessment (DA) has been conducted on the efficiency of either face-to-face (F2F) or mobile-assisted (MA) DA sessions. However, studies investigating the difference between these sessions conducted in the foreign language learning context are scarce. Thus, this study aims to explore the differences between F2F- and MA-DA…

Evaluating written texts is believed to be a time-consuming process that can lack consistency and objectivity. Automated essay scoring (AES) can provide solutions to some of the limitations of human scoring. This research aimed to evaluate the performance of one AES system, Grammarly, in comparison to human raters. Both approaches' performances…

This study aimed to adapt the Get Set2 quiz and design a diagnostic quiz for implementation under assumed knowledge admissions into university science degrees. The GetReady Quiz that was designed, comprised five modules benchmarked against the high school curriculum in Mathematics, Chemistry and Biology. The significance of this study stems from…

The present paper raises a discussion about assessment formats in mathematics courses at Norwegian universities during the Covid lockdown. This proved to be challenging since the European GDPR regulations are strictly interpreted in Norway, making proctoring at home difficult. Based on analyses of nine university teachers' feedback on how exams…