The aim of the present study was to investigate a think aloud protocol as a novel way to measure indicators of self-control during acts of physical persistence. Using a within-person design, 35 participants (9 males, 26 females) completed two wall-sit persistence tasks, one employing a think aloud protocol, and the other silent. A two-way mixed…

Despite the centrality of research concerning both ethics and leadership styles in education administration, our knowledge of the relations between them is limited. The present study closes this gap by investigating the relations of transformational and transactional leadership with multiple ethical paradigms that have been suggested as relevant…

Process Analysis is an emerging approach to discover meaningful knowledge from temporal educational data. The study presented in this paper shows how we used Process Analysis methods on the National Assessment of Educational Progress (NAEP) test data for modeling and predicting student test-taking behavior. Our process-oriented data exploration…

Children's oral language proficiency (OLP) is integral for developing literacy skills. Storytelling or retelling is often used by parents and educators to elicit children's OLP, yet it is less commonly used for assessment purposes. Leveraged by natural language processing and machine learning, this study examined the extent to which computational…

The aims of the current study are twofold. First, we examine the relationship between specific modalities of career interventions and initial employment in IT. Specifically, we take a skills and social learning perspective to distinguish between direct and vicarious experiences of career interventions and relate these experiences to IT…

Statistical analysis of categorical data often relies on multiway contingency tables; yet, as the number of categories and/or variables increases, the number of table cells with few (or zero) observations also increases. Unfortunately, sparse contingency tables invalidate the use of standard good-ness-of-fit statistics. Limited-information fit…

In large urban districts, schools enrolling more white students tend to have higher school performance ratings. We use an instrumental variables strategy leveraging centralized school assignment to identify the drivers of the correlation between racial make-up and ratings. Estimates from Denver and New York City suggest the relationship between…

Knowledge tracing algorithms are embedded in Intelligent Tutoring Systems (ITS) to keep track of students' learning process. While knowledge tracing models have been extensively studied in offline settings, very little work has explored their use in online settings. This is primarily because conducting experiments to evaluate and select knowledge…

This study explored how the SAT and High School Grade Point Average (HSGPA) can work together to help institutions to confidently admit, place, and support students in their academic majors while promoting student opportunity and success as well as institutional health and success. In particular, this study examined the differential validity of…

In early 2021 the Government announced a review of the current admissions system. This edited collection explores the opportunities and challenges surrounding any move to post-qualification admissions. Among the topics considered are: (1) Should the UK admissions system move to a model of post-qualification admissions and if so which:…

The purpose of this quantitative correlational study was to examine if and to what extent the four factors of technology readiness (optimism, innovativeness, insecurity or discomfort) predict the three elements of the Community of Inquiry (CoI); (social, cognitive, and teaching presence) in undergraduate online students. The community of inquiry…

Community colleges experience difficulties in effectively placing students in the first college-level, gateway mathematics course. The use of one standardized exam, such as the Texas Success Initiative Assessment (TSIA) has been proven ineffective. The effectiveness of using multiple measures is not known. This quantitative predictive…

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…

It remains unclear whether late second language learners (L2ers) can acquire sufficient knowledge about unique-to-L2 constructions through implicit learning to build anticipations during real-time processing. To tackle this question, we conducted a visual world paradigm experiment to investigate high-proficiency late first-language Dutch…

Some listeners exhibit higher sensitivity to subphonemic acoustic differences (i.e., higher speech gradiency). Here, we asked whether higher gradiency in a listener's first language (L1) facilitates foreign language learning and explored the possible sources of individual differences in L1 gradiency. To address these questions, we tested 164…