Questionnaires are by far the most common tool for measuring noncognitive constructs in psychology and educational sciences. Response bias may pose an additional source of variation between respondents that threatens validity of conclusions drawn from questionnaire data. We present a mixture modeling approach that leverages response time data from…

With the recent and rapid transition to online teaching and learning in higher education, this explanatory study investigated the key design considerations used by business educators designing assessments suitable for online delivery. From a comprehensive literature review, we identified five key design considerations for online assessments: they…

As a result of the COVID-19 pandemic, online assessment has become pivotal to allow evaluation of the knowledge and competences of teachers-to-be. In this context, this study explored language teacher educators' conceptions and practices of online assessment and the implications of this type of assessment for language teacher education. Forty-six…

"Tests of Aptitude for Language Learning" (TALL) is an openly accessible internet-based battery to measure the multifaceted construct of foreign language aptitude, using language domain-specific instruments and L1-sensitive instructions and stimuli. This brief report introduces the components of this theory-informed battery and…

There has been widespread media commentary about the potential impact of generative Artificial Intelligence (AI) such as ChatGPT on the Education field, but little examination at scale of how educators believe teaching and assessment should change as a result of generative AI. This mixed methods study examines the views of educators (n = 318) from…

This study examines the proficiency of Chat GPT, an AI language model, in answering questions on the Situational Judgement Test (SJT), a widely used assessment tool for evaluating the fundamental competencies of medical graduates in the UK. A total of 252 SJT questions from the "Oxford Assess and Progress: Situational Judgement" Test…

The transition of the United States Medical License Exam Step 1 examination to pass/fail was implemented in January 2022 with the intent to reduce medical student stress levels while ensuring that students maintained a sufficient degree of medical knowledge in order to continue in their educational journey. While this is an admirable goal,…

The aim of this study was to investigate whether secondary science teachers had different styles of technology adoption for technology-based assessments (TBAs), and whether teachers with different adoption styles showed different patterns of beliefs, attitudes and intentions regarding TBAs. By combining the variable-centered and person-centered…

Written answers to open-ended questions can have a higher long-term effect on learning than multiple-choice questions. However, it is critical that teachers immediately review the answers, and ask to redo those that are incoherent. This can be a difficult task and can be time-consuming for teachers. A possible solution is to automate the detection…

Technologies that enable individualization for students have significant potential in special education. Computerized Adaptive Testing (CAT) refers to digital assessments that automatically adjust their difficulty level based on students' abilities, allowing for personalized, efficient, and accurate measurement. This article examines whether CAT…

Rural adolescents are at a greater risk for substance abuse and other mental health challenges. There is a need for enhanced evidence-based prevention efforts. This case study evaluated both remote and in-person instruction of "Second Step®", a social-emotional learning (SEL) curriculum aimed to improve school-based prevention efforts.…

Research on test accommodations provides valuable information that informs policy and practice. This report presents a synthesis of the research literature published in 2022 on testing accommodations for U.S. elementary and secondary students (K-12). The National Center on Educational Outcomes (NCEO) has reported on accommodations research since…

This meta-analysis examines the influence of smart classrooms on students' learning outcome, synthesizing findings from 21 empirical studies. The results indicate a significant overall effect size (SMD = 1.10), suggesting that smart classrooms positively affect learning outcomes more than traditional settings. Cognitive development (SMD = 1.014)…

The Gifted and Talented program in New York City is one of the largest and longest running programs for gifted students in the nation. Yet little is known about its effects on student outcomes. Using student-level administrative data of New York City public school students between the 2010--2011 and 2018-2019 academic years, we studied the effects…

This study explores the pervasive issue of social ostracism and bullying among university students in Kazakhstan and Türkiye, underscored by Goffman's (1963) stigma theory. It investigates how societal norms and categorizations contribute to the marginalisation of students based on various identities, leading to 'spoiled identities' and the…