The explosion of Open Educational Resources (OERs) in the recent years creates the demand for scalable, automatic approaches to process and evaluate OERs, with the end goal of identifying and recommending the most suitable educational materials for learners. We focus on building models to find the characteristics and features involved in…

The purpose of this study was to examine how student perceptions of mindful teaching are associated with changes in students' mindfulness, self-compassion, and compassion for others across a single high school year. We hypothesized two pathways of effect: a direct path whereby when high school students perceive their teachers as demonstrating…

Research Findings: Although work across developmental and educational psychology reveals that trust impacts children's acceptance of claims and that teacher-student relationships impact learning outcomes, little work has integrated these literatures to better understand how students' trust in their teacher facilitates learning. In the present…

The research genre has specific communicative purposes which require students to understand the tone, generic and disciplinary conventions. The present study explored the potential of thematic progression (TP) to contribute to research argument readability. TP concerns how clauses encode information and how that information is carried forward.…

Prior research shows that when parents monitor, check, and assist in completing homework without an invitation, their children's motivation and academic achievement often decline. We propose that intrusive support from parents might also send the message that children are incompetent, especially if they believe their intelligence is fixed. We…

In today's age of information, the use of data is very powerful in making informed decisions. Data analytics is a field that is interested in identifying and interpreting trends and patterns within big data to make data-driven decisions. We focus on informal statistical inference and data modeling as a means of developing students' data analytics…

Interactive digital tools increasingly used for language learning can provide detailed system logs (e.g., number of attempts, responses submitted), and thereby a window into the user's learning processes. To date, SLA researchers have made little use of such data to understand the relationships between learning conditions, processes, and outcomes.…

The purpose of this follow-up study was to determine the specific contribution of phonological processing abilities, including phonological awareness (PA), rapid automatized naming (RAN) and verbal short-term memory (VSTM), as well as visual perception (VP), in word reading accuracy. A sample of 62 native Arabic speaking children from Grade 1…

Educational equity programs have been created to provide opportunities and resources for upward social mobility to low-SES individuals and students, students of color, historically marginalized students, and first-generation college students. This research study focused on educational equity programs recognized as the federally funded TRIO…

Language is one of the hallmarks of intelligence, demanding explanation in a theory of human cognition. However, language presents unique practical challenges for quantitative empirical research, making many linguistic theories difficult to test at naturalistic scales. Artificial neural network language models (LMs) provide a new tool for studying…

Purpose: Identifying appropriate targets for vocabulary instruction and determining the optimal sequence for instruction continue to be a challenge. The purpose of this study is to investigate how previously studied lexical characteristics collectively influence children's word learning. Method: A secondary data analysis was conducted using the…

Learning probabilistic classification and prediction models that generate accurate probabilities is essential in many prediction and decision-making tasks in machine learning and data mining. One way to achieve this goal is to post-process the output of classification models to obtain more accurate probabilities. These post-processing methods are…

This paper presents an extension of the Additive Factors Model to predict learning for students by accounting for aspects of collaboration. The results indicate that student performance is predicted more accurately when the model includes parameters that capture influences of working collaboratively. [This paper was published in: "Proceedings…

A multi-attribute decision-making (MADM) approach was proposed in this study as a prediction method that differs from the conventional production and design methods for a product. When a client has different dimensional requirements, this approach can quickly provide a company with design decisions for each product. The production factors of a…

One experiment determined the relationship between renewed associative strength and attention. Following cue1-outcome pairings in Context A, cue1 was extinguished in Context B while cue2 was conditioned. On test cue2 was chosen as a predictor of the outcome in Context B. Both cues were chosen equally often as predictors in Context A. Consistent…