Learning analytics (LA) involves the measurement, collection, analysis, and reporting of data about learners and their contexts, aiming to understand and optimize both the learning process and the environments in which it occurs. Among many themes that the LA community considers, natural language processing (NLP) algorithms have been widely…

As language technologies have become more sophisticated and prevalent, there have been increasing concerns about bias in natural language processing (NLP). Such work often focuses on the effects of bias instead of sources. In contrast, this paper discusses how normative language assumptions and ideologies influence a range of automated language…

The field of Linguistics has long been interested in the verb meanings of intransitive verbs and their argument structure, specifically the breakdown of intransitive verbs into unaccusative and unergative verb types. Despite extensive research, a universally applicable explanation for this breakdown remains elusive due in part to the variability…

Practice in real-world settings exhibits many idiosyncrasies of scheduling and duration that can only be roughly approximated by laboratory research. Here we investigate 39,157 individuals' performance on two cognitive games on the Lumosity platform over a span of 5 years. The large-scale nature of the data allows us to observe highly varied…

Purpose: This study adopts a qualitative approach to a critical media analysis of the multifaceted aspects of child marriage in the Yemeni context as an example of the broader Arab context. It seeks to provide a deeper understanding of the current situation, underlying causes and consequences of child marriage, as well as efforts to curb the…

We introduce the Corpus of Spoken Yiddish in Europe (CSYE), an Open Access digital language archive based on several hundred testimony interviews with Holocaust survivors from the USC Shoah Foundation. The testimonies are a uniquely rich source of information on all aspects of European Yiddish: its regional dialects, grammatical structures,…

We investigate concrete acquisition theories for a derived approach to linking theory development and explore to what extent two prominent linking theories in the syntactic literature--UTAH and rUTAH--can be derived from the data that English-learning children encounter. We leverage a conceptual acquisition framework that specifies key aspects of…

Human essay grading is a laborious task that can consume much time and effort. Automated Essay Scoring (AES) has thus been proposed as a fast and effective solution to the problem of grading student writing at scale. However, because AES typically uses supervised machine learning, a human-graded essay corpus is still required to train the AES…

Dialogism is a philosophical theory centered on the idea that life involves a dialogue among multiple voices in a continuous exchange and interaction. Considering human language, different ideas or points of view take the form of voices, which spread throughout any discourse and influence it. From a computational point of view, voices can be…

We present one of the first detailed studies on hesitation marking in a sign language. Based on the analysis of a set of monologues and dialogues from the "Corpus NGT" (Crasborn and Zwitserlood 2008; Crasborn, Zwitserlood, and Ros 2008), we describe the form and position of manual and nonmanual markers of hesitation in Sign Language of…

The primary purpose of this study is to investigate the degree to which register knowledge, register-specific motivation, and diverse linguistic features are predictive of human judgment of writing quality in three registers--narrative, informative, and opinion. The secondary purpose is to compare the evaluation metrics of register-partitioned…

Large language models, such as ChatGPT, have great potential to enhance learning and support teachers, but they must be used with care to tackle limitations and biases. This paper presents two easy-to-implement examples of how ChatGPT can be used in physics classrooms to foster critical thinking skills at the secondary school level. A pilot study…

Reading is one of the main skills to be learned and used in schools and through the entire life of an individual. Its crucial importance made reading one of the central topics in different academic disciplines such as education, psychology, linguistic and neuroscience. Advances in multidisciplinary approaches to and studies of reading gave us the…

This paper provides a possible strategy for integrating large language artificial intelligence models (LLMs) in supporting students' education in artistic or design activities. We outline the methodological foundations concerning the integration of CHATGPT LLM in the educational approach aimed at enhancing artistic conception and design ideation.…

This study uses a diachronic corpus-based analysis to explore the topics presented in LGBTQ-related research articles published between 2001 and 2020, and to examine diachronic changes in these topics over time. The data are from 400 LGBTQ-related research articles which are divided into four time periods (2001-2005, 2006-2010, 2011-2015,…