Data-based decision-making, which involves evaluating students' progress and making instructional decisions, is an integral competency for preservice teachers. Several studies have found that visual aids, such as decision-making models, may be an effective way to train preservice teachers to make instructional decisions. The purpose of this study…

Background: Children with speech sound disorders (SSD) are at higher risk of communication breakdown, but the impact of having an SSD may vary from child to child. Determining the severity of SSD helps speech-language therapists (SLTs) to recognise the extent of the problem and to identify and prioritise children who require intervention. Aims:…

This study examines the referential context effect on second-language relative clause ambiguity resolution by proficient L1 Chinese learners who learn English as a foreign language (EFL) and investigates whether the ambiguity resolution process is constrained by individuals' working memory capacity (WMC). It presents a self-paced reading study and…

Many students persistently misinterpret histograms. This calls for closer inspection of students' strategies when interpreting histograms and case-value plots (which look similar but are different). Using students' gaze data, we ask: "How and how well do upper secondary pre-university school students estimate and compare arithmetic means of…

The students are urged to do something without expecting anything in return and only in the name of God. Every islamic student becomes something ideal if they can internalize and implement sincerity. Many people are willing to do something because of an ulterior motive. The importance of sincerity in humans is the background for developing a…

This study aims to explore the students' experience with ChatGPT in providing scaffolding for writing essays. It also discloses students' appraisals of utilising ChatGPT. Drawing upon data from semi-structured interviews, this study involved 12 students learning English as a Foreign Language who utilised ChatGPT in academic writing classes. The…

Factor analysis is a statistical method to explore the relationships among observed variables and identify latent structures. It is crucial in scale development and validity analysis. Key factors affecting the accuracy of factor analysis results include the type of data, sample size, and the number of response categories. While some studies…

This study explores machine learning (ML) for assessing elementary students' scientific argumentation skills, addressing the inefficiency of traditional teacher-based evaluations. We developed tailored test questions and scoring rubrics, collecting data from sixth-graders in China. Four shallow learning algorithms (Polynomial Naive Bayes, k-NN,…

There is growing interest in the potential of Artificial Intelligence (AI) to assist in various educational tasks, including writing assessment. However, the comparative efficacy of human and AI-powered systems in this domain remains a subject of ongoing exploration. This study aimed to compare the accuracy of human raters (teachers and…

AI-enabled assessment of student papers has the potential to provide both summative and formative feedback and reduce the time spent on grading. Using auto-ethnography, this study compares AI-enabled and human assessment of business student examination papers in a law module based on previously established rubrics. Examination papers were…

Post-conviction polygraph testing during sex offender (PCSOT) treatment is common. Ocular-motor deception testing (ODT) uses measures of cognitive load to assess credibility. The accuracy of ODT for discriminating deceptive from truthful response patterns in sexually violent persons was evaluated. Participants chose to 'steal' a voucher of…

In Korean language, questions containing ambiguous wh-words may be interpreted as either wh-questions or yes-no questions. This study investigated 43 Korean three-year-olds' ability to disambiguate eight indeterminate questions using prosodic and visual cues. The intonation of each question provided a cue as to whether it should be interpreted as…

Purpose: Auditory feedback perturbation with voice pitch manipulation has been widely used in previous studies. There are several hardware and software tools for such manipulations, but audio plug-ins developed for music, movies, and radio applications that operate in digital audio workstations may be extremely beneficial and are easy to use,…

This study investigated the utility of four WAIS-IV Digit Span (DS) indices (traditional Reliable Digit Span [RDS], RDS-Working Memory [RDS-WM], RDS-Revised [RDS-R], and DS Age-Corrected Scaled Score [ACSS]) as embedded performance validity tests (PVTs) among a sample of 342 consecutive adults referred for neuropsychological evaluation of ADHD.…

This paper demonstrates that a teachable agent (TA) can play a dual role in an online learning environment (OLE) for learning by teaching--the teachable agent working as a synthetic peer for students to learn by teaching and as an interactive tool for cognitive task analysis when authoring an OLE for learning by teaching. We have developed an OLE…