This article presents the process of constructing and validating a test of metalinguistic awareness (MLA) for young school children (age 8-10). The test was developed between 2021 and 2023 as part of the MetaLearn research project, financed by The Research Council of Norway. The research team defines MLA as using metalinguistic knowledge at a…

Although some studies have examined the effects of self-regulated learning (SRL) strategies on learning effectiveness, inconsistent results have been reported. Additionally, studies that adopt the perspective of SRL to evaluate the effect of metacognitive skills on students' actual learning effectiveness in digital game-based learning (DGBL)…

Research into self-regulating capacity in vocabulary learning is recognized as a significant topic within the second language domain. The self-regulating capacity in vocabulary learning scale (SRCvoc; Tseng et al. 2006) is arguably the most widely used tool for assessing this construct. The common factor model, which is applied through…

Background/purpose: The study tries to discover how predictive thinking can be incorporated into writing activities to assist students in developing their creative skills in writing learning environments. Through this study, teachers will be able to adopt a new teaching method that helps transform the way creative writing is taught in language…

Behavior analysts frequently use the Verbal Behavior Milestones Assessment and Placement Program (VB-MAPP) to assess the language and social skills of children with autism in everyday practice and in research. Despite the widespread use of the VB-MAPP, its psychometric characteristics have not been extensively investigated. To provide information…

This report describes the process of developing and validating the enhanced ACT. The report describes the changes made to the test content and the processes by which these design decisions were implemented. The authors describe how they shared the overall scope of the enhancements, including the initial blueprints, with external expert panels,…

Employers often perceive accounting graduates as lacking motivation and soft skills. The research proposes that game-based learning (GBL) will enhance students' motivation, teamwork, critical thinking, communication skills, and promote learning. Research instruments include academic motivation scale (AMS) utilized to measure motivation, skills…

Starting in April 2025, ACT will introduce enhanced forms of the ACT® test for national online testing, with a full rollout to all paper and online test takers in national, state and district, and international test administrations by Spring 2026. ACT introduced major updates by changing the test lengths and testing times, providing more time per…

This report summarizes some of the evidence supporting interpretations of scores from the enhanced ACT, focusing on reliability, concurrent validity, predictive validity, and score comparability. The authors argue that the evidence presented in this report supports the interpretation of scores from the enhanced ACT as measures of high school…

Purpose: This study investigates the impact of AI-assisted pair programming on undergraduate students' intrinsic motivation, programming anxiety, and performance, relative to both human-human pair programming and individual programming approaches. Methods: A quasi-experimental design was conducted over two academic years (2023-2024) with 234…

This quantitative correlational study examines school-level longitudinal outcomes of eighth-grade algebra universal acceleration in 15 U.S. school districts when compared with selective acceleration in 289 school districts. Universally accelerated school districts had higher enrollments, with large effect sizes, in geometry, algebra 2, and…

This study examined the semantic features of the simulated mini-lectures in the listening sections of the International English Language Testing System (IELTS) and the Test of English as a Foreign Language (TOEFL) based on automatized semantic analysis to explore the content validity of the two tests. Two study corpora were utilized, the IELTS…

This study investigates the validity and reliability of generative large language models (LLMs), specifically ChatGPT and Google's Bard, in grading student essays in higher education based on an analytical grading rubric. A total of 15 experienced English as a foreign language (EFL) instructors and two LLMs were asked to evaluate three student…

School districts increasingly gauge school quality with surveys that ask about school climate and student engagement. We use data from New York City's middle and high schools to compare the long-run predictive validity of surveys with that of conventional test score value-added models (VAMs). Our analysis leverages the New York school match, which…

Academic stress, an endemic phenomenon in higher education, presents a multifaceted challenge, manifesting as cognitive overload, affective dysregulation and physiological destabilisation. It leads to recurrent feedback loops that reinforce anxiety and frustration, intensifying maladaptive stress responses. This study examines the extent to which…