Fake news can have enduring effects on memory and beliefs. An ongoing theoretical debate has investigated whether corrections (fact-checks) should include reminders of fake news. The familiarity backfire account proposes that reminders hinder correction (increasing interference), whereas integration-based accounts argue that reminders facilitate…

Despite the plethora of studies on the role of noticing in second language learning, little is known about the role of AI-operated feedback in noticing errors and uptake "during" and "after" writing. To address this gap, this study primarily aimed to investigate the impact of feedback modes and timing on L2 students' noticing…

Bias assessment (systematic errors) is fundamental in industry and service laboratories, where reliable results must be obtained to give correct answers to specific problems. Therefore, knowledge and practice in quality methodologies is of fundamental importance for students. Unfortunately, laboratory lessons often focus on connecting theory and…

Automatic question generation and the assessment of procedural knowledge is still a challenging research topic. This article focuses on the case of it, the techniques of parsing grammars for compiler construction. There are two well-known techniques for parsing: top-down parsing with LL(1) and bottom-up with LR(1). Learning these techniques and…

Coming from the commognitive standpoint, we consider proof-based mathematics as a distinct discourse, the transition to which requires special rules for endorsement and rejection of mathematical statements. In this study, we investigate newcomers' learning of these rules when being taught them explicitly. Our data come from academically motivated…

Automated corrective feedback (ACF), in which a computer system helps language learners identify and correct errors in their writing or speech, is considered an important tool for language instruction by many researchers. Such systems allow learners to correct their own mistakes, thereby reducing teacher workload and potentially preventing issues…

In a world in which rampant misinformation and partial truths can spread like wildfire, adult English as a Second Language (ESL) conversation classes can become fertile ground for unplanned discussions about unexpected information. When a student introduces new information, it can lead to repair-driven side sequences in which student explanations…

The present study describes an R function that implements six corrective procedures developed by Bartlett, Swain, and Yuan in the correction of 21 statistics associated with the omnibus Chi-square test, the residuals, or fit indices in confirmatory factor analysis (CFA) and structural equation modeling (SEM).

Generic language (e.g., "tigers have stripes") leads children to assume that the referenced category (e.g., tigers) is inductively informative and provides a causal explanation for the behavior of individual members. In two preregistered studies with 4- to 7-year-old children (N = 497), we considered the mechanisms underlying these…

Medical error is the cause of an estimated 98,000 to 210,000 deaths in the United States each year. Medical error recovery involves the application of clinical judgment to recognize, identify, and implement the actions needed to prevent patient injury or mitigate patient harm. This basic qualitative study explored senior BSN students' experience…

Effective written feedback is crucial to student learning and developing writing skills. Responding to student writing is a multifaceted and complex process that requires a more nuanced understanding of second language writing research. This study explored teachers' beliefs and practices about written feedback, which may be influenced by a range…

The rapid spread of health misinformation on social media poses significant challenges to public health crisis. Mpox misinformation has portrayed it as exclusively a sexually transmitted infection, resulting in misperceptions about infection risk and stigmatization of affected groups. This study aimed to evaluate the effectiveness of different…

Automatically detecting bugs in student program code is critical to enable formative feedback to help students pinpoint errors and resolve them. Deep learning models especially code2vec and ASTNN have shown great success for "large-scale" code classification. It is not clear, however, whether they can be effectively used for bug…

This study explored students' grammatical, mechanical, and lexical errors in EFL writing. Also, it aimed to investigate the effect of instructor feedback throughout the semester on students' types and frequency of errors in two types of essays, including a process essay and an argumentative essay. This study was conducted on 24 EFL students…

Partial correlation coefficients are often used as effect sizes in the meta-analysis and systematic review of multiple regression analysis research results. There are two well-known formulas for the variance and thereby for the standard error (SE) of partial correlation coefficients (PCC). One is considered the "correct" variance in the…