Many previous studies have identified "foreign language anxiety" and "motivation" as two important areas of applied linguistics. This study aims to evaluate the pertinent literature with also providing new information and justifications in past studies on learning anxiety and motivation. In this paper, the first section…

There is a long-standing interrelationship between the military and medical spheres in society. Military actions rely on medical services to tend to casualties, and medical advances often come from the pressure of military campaigns that generate large numbers of patients. That interrelationship is a linear one of simple paired interaction.…

For the development of successful human-agent dialogue-based tutoring systems, it is essential to understand what makes a human-human tutorial dialogue successful. While there has been much research on dialogue-based intelligent tutoring systems, there have been comparatively fewer studies on analyzing large-scale datasets of human-human online…

Academic grades in assessments are predicted to determine if a student is at risk of failing a course. Sequential models or graph neural networks that have been employed for grade prediction do not consider relationships between course descriptions. We propose the use of text mining to extract semantic, syntactic, and frequency-based features from…

To better understand underrepresented undergraduates' motivation for pursuing their major, we examined undergraduates' articulated explanations for their major choice and its association with their motivational beliefs within an introductory chemistry course. Students' (n=503, 68% female, 56% First-Generation College-Going, 34% Hispanic)…

The aim of the study was to investigate whether telecollaboration is a suitable environment for the acquisition of the speech act of apologies. Participants were aerospace engineering students from the Universitat Politècnica de València (Spain) who performed six open role-plays to elicit apologies. The Control Group (CG, n=17) carried out the…

Deep cases representing the significant meaning of nouns in sentences play a crucial role in semantic analysis. However, a case tends to be manually identified because it requires understanding the meaning and relationships of words. To address this problem, we propose a method to predict deep cases by analyzing the relationship between nouns,…

We integrate insights from research in Second Language Acquisition (SLA) and Computational Linguistics (CL) to generate text-based questions. We discuss the generation of wh- questions as functionally-driven input enhancement facilitating the acquisition of particle verbs and report the results of two crowdsourcing studies. The first study shows…

Collaborative problem solving in computer-supported environments is of critical importance to the modern workforce. Coworkers or collaborators must be able to co-create and navigate a shared problem space using discourse and non-verbal cues. Analyzing this discourse can give insights into how consensus is reached and can estimate the depth of…

This study investigates a possible way to analyze chat data from collaborative learning environments using epistemic network analysis and topic modeling. A 300-topic general topic model built from TASA (Touchstone Applied Science Associates) corpus was used in this study. 300 topic scores for each of the 15,670 utterances in our chat data were…

It has previously been shown that the effective use of dialogic instruction has a positive impact on student achievement. In this study, we investigate whether linguistic features used to classify properties of classroom discourse generalize across different subpopulations. Results showed that the machine learned models perform equally well when…

A number of studies have demonstrated strong links between students' language features (as found in spoken and written production) and their math performance. However, no studies have examined links between the students' language features and measures of their Math Identity. This project extends prior studies that use natural language processing…

Little research has examined individual linguistic features that influence English language learners (ELLs) test performance. Furthermore, research has yet to explore the relationship between the science strand of test items and the types of linguistic features the items include. Utilizing Differential Item Functioning, this study examines ELL…

This pilot study aims to highlight a) differences in pragmatic function and distribution of discourse markers (DMs) in computer mediated and face to face (FtF) settings and b) any correlation of DM uses and language competence. The data have been collected by video-recording and analysing three speakers of Italian L2 (language level competence:…

In this paper I will show the preliminary findings from my study of the discourse in synchronous written chats performed by students who study modern German literature within their first term of German studies. The focus of the study is on learning strategies and discourse strategies and how the Swedish learners make use of them when chatting with…