The Every Student Succeeds Act requires that English Learners (ELs) are included in annual state testing (grades 3-8 and once in high school) and included in each state's accountability system disaggregated by subgroup to ensure that they receive the support they need to learn English, participate fully in their education experience, and graduate…

While identifying the generic structure of academic introductions has been the focus of extensive research over the last few decades, investigating some, if not all, of the available linguistic resources that realize the identified generic structures seems to have been largely under-focused. In order to shed light on the way that the communicative…

Although MOOCs are a much-discussed topic in higher education, conversations about MOOCs do not often include details regarding the nuanced nature of these courses. What do people mean when they use the term MOOC? In the current work, we delve into the variations of MOOCs, and we put a typology we previously created into practice. Our goal with…

Behavioural and recent neural evidence indicates that young infants discriminate broad stimulus categories. However, little is known about the categorical perception of humans represented as full bodies with heads and their discrimination from inanimate objects. This study compares infants' brain processing of human and furniture pictures, probing…

Although the mapping between form and meaning is often regarded as arbitrary, there are in fact well-known constraints on words which are the result of functional pressures associated with language use and its acquisition. In particular, languages have been shown to encode meaning distinctions in their sound properties, which may be important for…

This response to intervention study examined agreement between classification methods of preschool children's responsiveness to Tier 2 intervention using level of performance (25th percentile), growth (equivalent to small and medium effect sizes), and both level of performance and growth in a dual-discrepancy approach. Overall, 181 children…

There is an increasing demand for assessments that can provide more fine-grained information about examinees. In response to the demand, diagnostic measurement provides students with feedback on their strengths and weaknesses on specific skills by classifying them into mastery or nonmastery attribute categories. These attributes often form a…

Open badges are a digital representation of skills or accomplishments recorded in a visual symbol that is embedded with verifiable data and evidence. They are created following a defined open standard, so that they can be shared online. Open badges have gained popularity around the world in recent years and have become a standard feature of many…

Research has shown that construction projects in Saudi Arabia have had a perceived poor performance for the past three decades, from 1970-2016. The Saudi construction industry relies on a Contractor Classification System (CCS) to determine contractors' capabilities, and prevent underperformance. Through this study, a survey was conducted among…

This study examined how machine learning and natural language processing (NLP) techniques can be leveraged to assess the interpretive behavior that is required for successful literary text comprehension. We compared the accuracy of seven different machine learning classification algorithms in predicting human ratings of student essays about…

Existing personalized learning systems (PLSs) have primarily focused on providing learning analytics using data from learners. In this paper, we extend the capability of current PLSs by incorporating data from instructors. We propose a latent factor model that analyzes instructors' preferences in explicitly "excluding" particular…

This study examined how machine learning and natural language processing (NLP) techniques can be leveraged to assess the interpretive behavior that is required for successful literary text comprehension. We compared the accuracy of seven different machine learning classification algorithms in predicting human ratings of student essays about…

Policymakers are increasingly interested in the extent to which experimental results generalize from a sample to a population of inference. When the sample is not randomly selected, propensity score methods are used to reweight the sample. Subclassification by propensity score is commonly used in which the population is partitioned into strata…

The English language plays a significant role in Saudi Arabia at the local and international levels. Spelling errors, as one of the challenging elements in writing confronted by Saudi learners of English, have a negative effect on the quality of their written translation products (Ababneh, 2019). Therefore, more analytical studies are needed to…

The conjoining of Indiana state and federal accountability plans during the No Child Left Behind (NCLB) flexibility waiver (2012-2015) was an attempt at one combined system to furnish information in a simple and transparent manner, while obscuring the performances of English learner's (EL) English progress and EL reclassification. We identify how…