Learning analytics dashboards are becoming increasingly common tools for providing feedback to learners. However, there is limited empirical evidence regarding the effects of learning analytics dashboard design features on learners' cognitive load, particularly in digital learning environments. To address this gap, we developed goal-based,…

Exam evaluations are essential to assessing students' knowledge and progress in a subject or course. To meet learning objectives and assess student performance, questions must be themed. Automatic Question Generation (AQG) is our novel approach to this problem. A comprehensive process for autonomously generating Bahasa Indonesia text questions is…

This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these detectors to assess their reliability in identifying AI-generated text in educational settings, where they are increasingly used to address academic integrity…

Augmented reality (AR) has been shown to have a positive impact on children with autism spectrum disorder (ASD) because it can effectively simulate the real environment through interactive experiences created by the integration of digital elements with the outside world. This research aimed to verify the effectiveness of a training program based…

Contribution: A novel undergraduate course design at the intersection of software engineering (SE) and machine learning (ML) based on industry-reported challenges. Background: ML professionals report that building ML systems is different enough that we need new knowledge about how to infuse ML into software production. For instance, various…

Introduction: Recruiting undergraduate students to participate in research has long been an established practice within psychology. Although this data source has weaknesses, this involvement in the research process has considerable pedagogical value in teaching students research methodology. Statement of the Problem: Most common software packages…

In this article, we explore the intersection of creativity, education, and technology, with a focus on the impact of Generative AI (GenAI). We delve into the transformative potential of GenAI in redefining educational and creative processes and challenging our existing notions of learning and creativity. Through a conversation with renowned…

Literacy has become inextricably bound with machine processes, especially in the age of ubiquitous, consequential artificial intelligence (AI). Despite a relatively long history of AI involvement in our everyday reading and writing practices, the public availability of generative AI tools has set off a wave of heated debate--and concern--about…

The procedures of carrying out factorial invariance to validate a construct were well developed to ensure the reliability of the construct that can be used across groups for comparison and analysis, yet mainly restricted to the frequentist approach. This motivates an update to incorporate the growing Bayesian approach for carrying out the Bayesian…

Mathematics seems abstract, difficult, and uninteresting to many students, which in turn reduces their interest in learning mathematics. It has been found that the use of ICT and meaningful contexts of problem-solving tasks can make learning mathematics more enjoyable and easier to understand for students. To increase students' interest in…

The 'Internet Plus Music Education' utilizes online technologies to transcend traditional educational constraints of time and space, offering students flexible and efficient learning pathways, thereby innovating the mode of music education. This study thoroughly analyzes the characteristics of this model and its future development, focusing on how…

The aim of the study informing this paper was to investigate pre-service teachers' (PSTs') approaches to task design, posing the research question: How do pre-service teachers respond when they are asked to design an exploratory task using GeoGebra for 8th grade students? The research study and this paper focus on the PSTs' design stories rather…

This study investigates the neurocognitive underpinnings of early language learning in adults and examines the modulating effects of individual differences in prior bilingual experience and cognitive capabilities. This study used a pre/post short-term longitudinal design with a 10-day Dutch language training via Rosetta Stone. Event-Related…

In order to improve the accessibility and user friendliness of an accurately pretrained stacking ensemble machine learning regressor used to predict sulfate levels (mg/L) in Acid Mine Drainage (AMD), a Graphical User Interface (GUI) was developed using Python by combining human input with ChatGPT and deployed in the Jupyter Notebook environment.…

Automatic essay scoring (AES) is an essential educational application in natural language processing. This automated process will alleviate the burden by increasing the reliability and consistency of the assessment. With the advances in text embedding libraries and neural network models, AES systems achieved good results in terms of accuracy.…