The study examined the influence that socio-demographic factors (school social environment, type of school and gender) have on achievement in reading comprehension of students with learning disabilities. The study employed the correlational design. One hundred and twentythree (123) Junior Secondary Class 1 (JSS 1) students with learning…

During spoken language comprehension, listeners make use of both knowledge-based and signal-based sources of information, but little is known about how cues from these distinct levels of representational hierarchy are weighted and integrated online. In an eye-tracking experiment using the visual world paradigm, we investigated the flexible…

In May 2019, College Board published the first national operational SAT® validity study on the new SAT introduced in 2016. Based on data from more than 221,000 students across 169 four-year colleges and universities, the study showed that the SAT was essentially as effective as high school grades in predicting students' college performance and…

Corpus-based word frequencies are one of the most important predictors in language processing tasks. Frequencies based on conversational corpora (such as movie subtitles) are shown to better capture the variance in lexical decision tasks compared to traditional corpora. In this study, we show that frequencies computed from social media are…

Background: A cluster-randomized trial at 30 early care and education centers (Intervention = 15, waitlist Control = 15) showed the "Lunch Is in the Bag" intervention increased parents' packing of fruits, vegetables, and whole grains in their preschool children's bag lunches (parent-child dyads = 351 Intervention, 282 Control). Purpose:…

We examined the relationship between inference making, vocabulary knowledge, and verbal working memory on children's reading comprehension in 62 6th graders (aged 12). The effect of vocabulary knowledge on reading comprehension was predicted to be partly mediated by inference making for two reasons: Inference making often taps the semantic…

Framing metacognitive judgments of learning (JOLs) in terms of the likelihood of forgetting rather than remembering consistently yields a counterintuitive outcome: The mean of participants' forget-framed JOLs is often higher (after reverse-scoring) than the mean of their remember-framed JOLs, suggesting greater confidence in memory. In the present…

We have developed a laboratory exercise designed to help students translate between different field representations. It starts with students qualitatively mapping field lines for various bar magnet configurations and continues with a Hall probe experiment in which students execute a series of scaffolded tasks, culminating in the prediction and…

Very frequently, students and clients do not do what they say they will do. Decisions and plans made in counselling sessions are often not enacted. The career development field may be better able to address the chasm between rational decisions and actual behaviour by applying the findings of behavioural economics. Behavioural economics research is…

Learner modeling is a crucial step in the learning personalization process. It allows taking into consideration the learner's profile to make the learning process more efficient. Most studies refer to an explicit method, namely questionnaire, to model learners. Questionnaires are time consuming and may not be motivating for learners. Thus, this…

In this paper, we investigate the effect of neighbourhood density (ND) on vocabulary size in a computational model of vocabulary development. A word has a high ND if there are many words phonologically similar to it. High ND words are more easily learned by infants of all abilities (e.g. Storkel, 2009; Stokes, 2014). We present a neural network…

In this paper, we investigate two purported problems with Bayesian Knowledge Tracing (BKT), a popular statistical model of student learning: "identifiability" and "semantic model degeneracy." In 2007, Beck and Chang stated that BKT is susceptible to an "identifiability problem"--various models with different…

This dissertation investigated how various features of scenario-based assessments (SBAs) affect reading comprehension and measures of engagement (e.g., situational interest and motivation) with a sample of college students. SBAs are assessments that contain several features not traditionally found in reading assessments. These features include an…

Reading achievement has been a focus for many states since the Elementary and Secondary Act of 1965. Schools and districts are faced with the challenge of accurately identifying students that are in need of intervention before they take high stakes assessments in reading. The purpose of this study was to determine if the use of STAR Reading…

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…