Evolution is challenging to understand for students. Frequently, students hold coexisting intuitive conceptions based on cognitive biases and scientific conceptions of evolution. For the self-regulation of intuitive and scientific conceptions, metacognitive awareness is fundamental. However, students are mostly unaware of their conceptions. A…

This study investigates the development and evaluation of a Retrieval-Augmented Generation (RAG)-based statistics tutor designed to assist students with quantitative analysis methods. The RAG approach was employed to address the well-documented issue of hallucination in Large Language Models (LLMs). A computer tutor was developed that utilizes…

It is often observed that many learners prefer reading texts with background music (BGM), which may enhance engagement and mood in reading. However, the impact of BGM on reading comprehension performance or process remains heterogeneous. This study examined how learners' self-provided preferred BGM affected reading comprehension accuracy and…

Textbooks are essential learning resources for both teachers and students, but they often contain misconceptions that can affect students' understanding of key concepts, particularly in biology. Misconceptions can arise from inaccurate or incomplete information, and they may lead to incorrect conceptual understanding. The clarity and accuracy of…

This study explores the use of artificial intelligence in grading high-stakes physics exams, emphasizing the application of psychometric methods, particularly item response theory, to evaluate the reliability of AI-assisted grading. We examine how grading rubrics can be iteratively refined and how threshold parameters can determine when…

Purpose: Contemporary early career teacher (ECT) mentoring approaches have largely aspired to shift towards a more non-hierarchic and mutually beneficial learning partnership approach. Such mentoring can be challenging to achieve. We report on a project that sought to further understand how intellectual virtues, such as intellectual courage,…

In this paper we present a novel adaptation of a tri-phase assessment tool, originally devised to investigate students' linear equations-related strategy flexibility, to evaluate Danish grade-six students' multidigit arithmetic-related strategy adaptivity and flexibility. Participants, 731 students, median age 12 years and drawn from 20…

Introduction: Recent innovations in generative artificial intelligence (AI) technologies have led to an educational environment in which human authorship cannot be assumed, thereby posing a significant challenge to upholding academic integrity. Statement of the problem: Both humans and AI detection technologies have difficulty distinguishing…

The results of needs assessments for a number of universities show that virtuous character behavior shows a number of problems that require efforts by universities to carry out massive and planned virtuous character education movements. The perryso dialogue model based on cognitive behavior modification was developed to overcome a number of…

Studies have shown that explicit strategies make a significant contribution to visuomotor adaptation. However, little attention has been given to potential unconscious cognitive biases in these strategies, despite that they involve a sequence of cognitive decision-making processes. To reveal the possible cultural biases involved in motor learning,…

This study tested whether encouraging prediction enhances prediction in second language (L2) speakers. L2 English speakers listened to English sentences like "The woman … will read/buy one of the newspapers" while viewing the target (a newspaper) and distractor objects (a rose, a bowl, and a mango) on a screen and clicked on the target…

While high-accuracy machine learning (ML) models for predicting student learning performance have been widely explored, their deployment in real educational settings can lead to unintended harm if the predictions are biased. This study systematically examines the trade-offs between prediction accuracy and fairness in ML models trained on the…

As modern vehicles continue to integrate increasingly sophisticated Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV) functions, conventional user manuals may no longer be the most effective medium for conveying knowledge to drivers. This research analysed conventional, paper and video-based instructional methods versus a…

Learning to capitalize in English requires identifying a word's type and sentence position. In two cloze studies (2021-2022), Australian students of all genders (95% White, monolingual) spelled words with one and two capitalization cues (proper nouns, sentence-initial words) and no-cue control words. High school (12-18 years, n = 59) and…

Groups often make better judgements than individuals, and recent research suggests that this phenomenon extends to the deception detection domain. The present research investigated whether the influence of groups enhances the accuracy of judgements, and whether group size influences deception detection accuracy. Two-hundred fifty participants…