Abstract This paper explores the motivation and prerequisites for successful integration of Intelligent Computer-Assisted Language Learning (ICALL) tools into current foreign language teaching learning (FLTL) practice. We focus on two aspects, which we argue to be important effective ICALL system development use: (i) relationship between activity design restrictions needed make natural processing tractable reliable, (ii) pedagogical considerations influence choices systems FLTL

Large‐scale learner corpora collected from online language learning platforms, such as the EF‐Cambridge Open Language Database (EFCAMDAT), provide opportunities to analyze data at an unprecedented scale. However, interpreting in requires a precise understanding of tasks: How does prompt and input task its functional requirements influence task‐based linguistic performance? This question is vital for making large‐scale fruitful second acquisition research. We explore issue through analysis...

Abstract Intervention studies typically target a focused aspect of language learning that is studied over relatively short time frame for small number participants in controlled setting. While many research questions, this effective, it can also limit the ecological validity and relevance results real-life learning. In educational science, large-scale randomized field trials (RCTs) are seen as gold standard method addressing challenge—yet they require intervention to scale hundreds learners...

Abstract We investigated whether a passive brain–computer interface that was trained to distinguish low and high mental workload in the electroencephalogram (EEG) can be used identify (1) texts of different readability difficulties (2) read at presentation speeds. For twelve subjects we calibrated subject-dependent, but task - independent predictive model classifying workload. then recorded EEG data from each subject, while blocks three were presented them word by word. Half easy, other half...

An adequate level of linguistic complexity in learning materials is believed to be crucial importance for learning. The implication school textbooks that reading should differ systematically between grade levels and higher lower tracks line with what can called the systematic complexification assumption. However, research has yet test this hypothesis a real-world sample textbooks. In present study, we used automatic measures from computational analyze 2,928 texts geography four publishers...

We propose a new method for detecting errors in "gold-standard" part-of-speech annotation. The approach locates with high precision based on n-grams occurring the corpus multiple taggings. Two further techniques, closed-class analysis and finite-state tagging guide patterns, are discussed. success of three approaches is illustrated Wall Street Journal as part Penn Tree-bank.

A common focus of systems in Intelligent Computer-Assisted Language Learning (ICALL) is to provide immediate feedback language learners working on exercises. Most this research has focused providing the form learner input. Foreign practice and second acquisition research, other hand, emphasizes importance exercises that require manipulate meaning.

While the automatic analysis of readability texts has a long history, use assessment for text simplification received only little attention so far.In this paper, we explore models identifying differences in reading levels simplified and unsimplified versions sentences.Our experiments show that relative ranking is preferable to an absolute binary one accuracy depends on initial level version.The approach particularly successful classifying harder sentences.In terms practical relevance,...

Readability assessment can play a role in the evaluation of simplification algorithm as well identification what to simplify. While some previous research used traditional readability formulas evaluate text simplification, there is little into utility for identifying and analyzing sentence level targets simplification. We explore this aspect our paper by first constructing model that generalizable across corpora genres later adapting make sentence-level judgments. First, we report on...

This article discusses two types of opportunities for interdisciplinary collaboration between computational linguistics (CL) and language learning research. We target the connection data theory in second (L2) research highlight to (a) enrich options obtaining (b) support identification valid interpretation relevant learner data. first characterize options, limitations, potential rich on learning: from Web‐based intervention studies supporting collection experimentally controlled online...

It is commonly assumed that digital learning environments such as intelligent tutoring systems facilitate and positivelyimpact achievement. This study explores how different groups of students exhibit distinct relationships between behaviorsand academic achievement in an system for English a foreign language. We examined whether these differencesare linked to students’ prior knowledge, personality traits, motivation. collected behavioral trace data from 507 Germanseventh-grade during the...

Abstract Designing effective language learning settings requires an understanding of the processes taking place in and way they interact. One important issue concerns interaction between meaning grammar. A number studies have shown a beneficial effect semantics grammar learning. What is unclear, however, how far this may be influenced by presentation formats semantic content. In two experiments, participants performed rule search tasks on Latin sentences. Experiment 1, we presented...

Chatbots based on large language models offer cheap conversation practice opportunities for learners. However, they are hard to control linguistic forms that correspond learners' current needs, such as grammar. We grammar in chatbot by grounding a dialogue response generation model pedagogical repository of skills. also explore how this helps learners produce specific comprehensively evaluate prompting, fine-tuning, and decoding strategies grammar-controlled generation. Strategically Llama3...

The difficulty of a word problem is influenced by both linguistic and arithmetic processes. However, whether these processes are sequential or interactive matter debate. Little known about how eye-movement behaviour changes when faced with different task characteristics, in relation to the entire specific components (i.e., numerical textual elements). To address this gap, we conducted study monitoring eye movements children aged 10-13 years during solving. We manipulated characteristics...