With the onset of online education via technology-enhanced learning platforms, large amount of educational data is being generated in the form of logs, clickstreams, performance, etc. These Virtual Learning Environments provide an opportunity to the researchers for the application of educational data mining and learning analytics, for mining the…

Item response theory (IRT) is a popular method to infer student abilities and item difficulties from observed test responses. However, IRT struggles with two challenges: How to map items to skills if multiple skills are present? And how to infer the ability of new students that have not been part of the training data? Inspired by recent advances…

Finding funds to build and renovate facilities is a major hurdle for public charter schools because most state laws do not provide charter schools with the full amount of state and local funding that other public schools receive. Although an increasing number of states are passing laws to address charter school facility funding gaps, inequities…

With a population of over 24 million, Asian Americans are the most misunderstood and oversimplified racial and ethnic group in the United States. In higher education, Asian American college students are a rapidly growing population, yet their challenges in navigating their Asian American identity in college environments and surroundings have often…

Purpose: Primary progressive aphasia (PPA) and the amnestic variant of Alzheimer's disease (AD) are neurodegenerative conditions characterized by a profound loss of functional communication abilities. Communicative impairment in AD and PPA is especially apparent in the domain of naming common objects and familiar faces. We evaluated the…

The aim of this study was to compare, by simulation, the accuracy of mapping a cut-score from one test to another by expert judgement (using the Angoff method) versus the accuracy with a small-sample equating method (chained linear equating). As expected, the standard-setting method resulted in more accurate equating when we assumed a higher level…

The purpose of this case study is to demonstrate how to utilize machine learning approaches to analyze student process data for validating and informing digital game-based assessments (DGBAs) with an evidence-centered game design (ECgD). The first analysis was conducted to examine whether students' mastery of the overall skill required by the game…

The transition from paper-based tests to corresponding computer-administered tests allows for the incorporation of improved interfaces that support response making. The main research question is whether innovative interfaces affect test response time and/or response accuracy. This study compared performance on banked cloze tests using a…

Context: There is a lack of current evidence to help athletic training programs identify students poised for first-time Board of Certification (BOC) exam success as a means to ensure compliance with contemporary accreditation standards. Various academic variables have been previously identified as predictors of first-time success; however, these…

Previous work has ostensibly shown that readers rapidly adapt to less predictable ambiguity resolutions after repeated exposure to unbalanced statistical input (e.g., a high number of reduced relative-clause garden-path sentences), and that these readers grow to disfavor the a priori more frequent (e.g. main verb) resolution after exposure (Fine,…

This research examines the effect of repetition on melodic dictation tasks in an undergraduate ear-training class. A pilot group of freshman music majors (n = 17) were asked to notate four melodies, of which two were slightly more difficult since they contained more melodic leaps. Participants heard two melodies repeated three times and two other…

Outstanding long-term face recognition of suspects is a hallmark of the exceptionally skilled police 'super-recognisers' (SRs). Yet, research investigating SR's memory for faces mainly employed brief retention intervals. Therefore, in Experiment 1, 597 participants (121 SRs) viewed 10 target videos and attempted identification of targets from 10…

Covid-19 has accelerated the speed of technocratic transformation in teaching and learning. Previous researches on whether technology enhances students' motivation towards learning or burdens them with additional layer of anxiety in learning the nitty gritty of technology itself have mixed results. The purpose of this study was to explore early…

A common recommendation in critiques of datafication in education is for greater conversation between the two sides of the (critical) divide -- what might be characterised as sceptical social scientists and (supposedly) more technically-minded and enthusiastic data scientists. This article takes the form of a dialogue between two academics…

Several teaching moves have been suggested to support young children's simple addition and subtraction performance, including use of a number path, directly modeling addition and subtraction, using mathematical symbols, and modifying problem difficulty. In the present study, teacher-researchers implemented an early arithmetic activity, "Big…