Cognitive diagnostic models (CDMs) have received sustained attention in educational settings because they can be used to operationalize formative assessment to provide diagnostic feedback and inform instruction. A large number of CDMs have been developed over the past few years. An important component of all CDMs is a Q-matrix that specifies a…

Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…

Many English as a foreign language (EFL) learners worldwide spend hours playing commercial-off-the-shelf massively multiplayer online games. They engage in a multitude of different interactions with the game environment and possibly with other gamers, using English as the predominant medium of communication. This raises the question of whether…

Grounded or embodied cognition research has employed body-object interaction (BOI; e.g., Pexman et al., 2019) ratings to investigate sensorimotor effects during language processing. We investigated relationships between BOI ratings and nonarbitrary statistical mappings between words' phonological forms and their syntactic category in English;…

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 current study contributes to the argument regarding whether L2 learners up to advanced levels make agreement errors on grammatical gender. It reports gender agreement accuracy on a written Grammaticality Judgment Task (GJT) and an Elicited Oral Production Task (PDT) on known nouns assigned the correct gender by participants on a vocabulary…

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…

This dissertation presents four iterative experiments which explore the quantitative benefits of introducing linguistics to language learners. Previous work has connected exploration of linguistic with improved morale and engagement in language classrooms, as well as reduced language discrimination and validation of students' languages and…

In modern L2 academic writing enterprises, teacher-written corrective feedback can be either facilitating or debilitating depending on language teachers' understanding, actual practices, and specific-classroom situations. Through this present small-scale qualitative investigation, the researcher attempted to exhaustively investigate English…

Despite the proliferation of video-based instruction and its benefits--such as promoting student autonomy and self-paced learning--the complexities of online teaching remain a challenge. To be effective, educators require extensive training in digital teaching methodologies. As such, there's a pressing need to examine and comprehend the…

This exploratory study evaluated the impact of a Spanish second language (L2) domestic immersion (DI) program that was developed expediently at a large university in the United States in response to widespread study abroad (SA) program closures due to COVID-19. Spanish language learners (n = 14) participated in an intensive, six-week summer…

In this work, we demonstrate the application of the variational method by computing the ground- and first-excited state energies of a double-well potential. We start with the proper choice of the trial wave functions using optimized parameters, and notice that accurate expectation values in excellent agreement with the numerical results can be…

It is argued in this paper that a significant number of definitions of terms provided in currently available methodological texts are inadequate or positively misleading. Some do not cover the main meaning of the term but focus instead on a non-standard one. Others fail to pick out the distinctive features of what is being defined. There are also…

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…

Using text mining to aid the development of database search strings for topics described by diverse terminology has potential benefits for systematic reviews; however, methods and tools for accomplishing this are poorly covered in the research methods literature. We briefly review the literature on applications of text mining for search term…