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…

In this longitudinal study, we investigate how demographic, cognitive and meta-cognitive variables affect students' success in chemistry and physics exams in two Science-Technology-Engineering-Mathematics undergraduate courses, biology and engineering. Independent variables include high school final examination performance, chemistry and physics…

Purpose: We previously reported evidence of true double dissociation between reading accuracy and reading rate in a large unselected sample of Hebrew-speaking fourth graders and a large clinical sample of adult Hebrew-speakers with dyslexia. The present study aimed to replicate and extend these findings to Arabic, which is structurally similar to…

Accurate description of language use is central to English for academic purposes (EAP) practice. Thanks to the development of corpus tools, it has been possible to undertake systematic studies of language in academic contexts. This line of research aims to provide detailed and accurate characterization of academic communication and to ultimately…

With the immense interest in ChatGPT worldwide, education has seen a mix of both excitement and skepticism. To properly evaluate its impact on education, it is crucial to understand how far it can help students without prior knowledge answer assessment questions. This study aims to address this question as well as the impact of the question type.…

Introduction: Uncertainty exists about the best method for teaching thrust joint manipulation (TJM) to student physical therapists. This dissertation study compared the effects of Peyton's 4-Step (P4) Approach with the "see one, do one" (S1D1) approach on students': (1) Lumbar spine TJM task performance; (2) Attitudes and beliefs towards…

Individuals rely on accurate information to make important decisions, but in the current environment the vast amount of misinformation present in society is complicating people's thinking. Many people fall prey to a cognitive bias called the continued influence effect, which occurs when they continue to use misinformation even when they have seen…

As vast amounts of data have become available in business in recent years, the demand for data scientists has been rising. The author of this article provides a tutorial on how one entry-level machine learning competition from Kaggle, an online community for data scientists, can be integrated into an undergraduate econometrics course as an…