Building on previous studies investigating the multidimensional nature of lexical use in task-based L2 performance, this study clarified the roles that the distinct lexical features play in predicting vocabulary proficiency in a corpus of L2 Oral Proficiency Interviews (OPI). A total of 85 OPI samples were rated by three separate raters based on a…

Demographic features are commonly used in Educational Data Mining (EDM) research to predict at-risk students. Yet, the practice of using demographic features has to be considered extremely problematic due to the data's sensitive nature, but also because (historic and representation) biases likely exist in the training data, which leads to strong…

Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for automated scoring rely on supervised learning, i.e., training classifiers or fine-tuning language models on a small number of responses with human-provided score…

Individual differences in reading performance between children appear from the onset of literacy acquisition. One possible explanation for this variability is the influence of inhibition in reading ability, a topic that has received very little research attention. Nevertheless, children often make guessing errors characterized by replacing a word…

Inconsistent data are available on mental rotation performance in neurotypicals with high autistic-like traits. Here, we tested whether global-local visual processing abilities mediate the influence of specific autistic-like trait domains (social skill, attention switching, attention-to-detail, communication, and imagination) on mental rotation.…

Purpose: This study examined the effect of phonological overlap on English and Spanish expressive vocabulary accuracy as measured by the bilingual Expressive One-Word Picture Vocabulary Test--Fourth Edition (EOWPVT-IV). We hypothesized that if languages interact during an expressive vocabulary task, then higher phonological overlap will predict…

Governments and educational authorities around the world are emphasizing performance evaluation of educational systems. Opinion Mining (OM) has gained acceptance among experts in various regions, including the preparation space. The proposed model involves Two modules: the data preprocessing module and the opinion mining module. The main objective…

To provide personalized support on educational platforms, it is crucial to model the evolution of students' knowledge states. Knowledge tracing is one of the most popular technologies for this purpose, and deep learning-based methods have achieved state-of-the-art performance. Compared to classical models, such as Bayesian knowledge tracing, which…

Primary school students rely heavily on textbooks for instruction. Using the variety of textbooks, a description of the theme textbooks' linguistic quality is conspicuously absent, particularly for students in the fifth grade. Language fit for students' growth, communicative language, and coherence and cohesiveness were all included in this…

Despite the building up of research on the adoption of automated writing evaluation (AWE) systems, the differential effects of automated written corrective feedback (AWCF) on errors with different severity levels and gains across writing tasks remain unclear. Thus, this study fills in the vacuum by examining how AWCF through Grammarly affects…

Working memory allows us to hold specific pieces of information in an active and easily retrieved state, but what happens to that information during an unexpected interruption between study and test? To answer this question, we used a surprise trial paradigm in which an unexpected event precedes a probe of the observer's memory for a search…

Conversational agents have been widely used in education to support student learning. There have been recent attempts to design and use conversational agents to conduct assessments (i.e., conversation-based assessments: CBA). In this study, we developed CBA with constructed and selected-response tests using Rasa--an artificial intelligence-based…

The increased Simon effect with increasing the ratio of congruent trials may be interpreted by both attention modulation and irrelevant stimulus-response (S-R) associations learning accounts, although the reversed Simon effect with increasing the ratio of incongruent trials provides evidence supporting the latter account. To investigate if…

Purpose: This study aimed to examine how aging and modifications of critical acoustic parameters may affect the perception of whispered speech as a degraded signal. Method: Forty Mandarin-speaking adults were included in the study. Part 1 of the study compared the perception of Mandarin lexical tones, vowels, and syllables in older and younger…

Background: Phonological working memory is key to vocabulary acquisition, spoken word recognition, real-time language processing, and reading. Transcranial direct current stimulation, when coupled with behavioral training, has been shown to facilitate speech motor output processes, a key component of nonword repetition, the primary task used to…