In the discipline of nursing education, it is very important that nursing students complete their didactic and clinical education skills in order to practice as a registered nurse. It is also very important that they prepare and study to successfully pass the National Council Licensure Examination (NCLEX) and become licensed as a registered nurse…

Online educational technologies facilitate pedagogical experimentation, but typical experimental designs assign a fixed proportion of students to each condition, even if early results suggest some are ineffective. Experimental designs using multi-armed bandit (MAB) algorithms vary the probability of condition assignment for a new student based on…

The purpose of this study was to investigate student perceptions and acceptance of a rule-based educational chatbot in higher education, employing the TAM (Technology Acceptance Model) framework. The researchers developed a rule-based chatbot for this purpose and examined the students' technology acceptance using qualitative research methods.…

Virtual reality refers to the technology used to create multi-sensory, three-dimensional environments its users can interact with. Occupational therapists may find virtual reality-based therapy appealing as it allows them to access many virtual environments and tasks that would be difficult to recreate in traditional settings. Despite literature…

Background: Concerns have been raised about the inconsistency and quality of pre-service teacher preparation, especially in reading literacy. Mixed-reality simulations can potentially revolutionise initial teacher education by offering realistic, risk-free practice opportunities to master reading practices. Objectives: This study explores…

Introduction: The adoption of simulation technologies in schools of nursing has increased significantly over the last 5 years. Results regarding the use of simulation technology have been positive. The use of simulation technologies has been developed to include complex nursing situations that resemble real clinical settings. Research has…

In England, some secondary-level qualifications comprise non-exam assessments which need to undergo moderation before grading. Currently, moderation is conducted at centre (school) level. This raises challenges for maintaining the standard across centres. Recent technological advances enable novel moderation methods that are no longer bound by…

In vocational education, cultivating students' ability to deal with real cases is a crucial training objective. The BSFE (i.e., Brainstorming, Screening, Formation, Examination) model is a commonly adopted training procedure. Each stage is designed for guiding students to analyze and find solutions to handle real cases. However, as one teacher is…

Virtual laboratories (VLs) enable students to experiment, analyze data, or interact with digital content in a nonphysical space. VLs include simulations, electronic notebooks, videos, and augmented reality. As part of the "VL Project," comprising five academic institutions in Ireland, we sought to determine how VLs might enhance…

Game-based learning has emerged as a promising approach to enhance students' engagement and understanding in educational settings. This study investigates the effectiveness of integrating physics education technology (PhET) simulations as game-based learning tools in teaching physics concepts related tao equilibrium system. A quasi-experimental…

An important feature of the currently used artificial intelligence systems is their anthropomorphism. The tool of inductive empirical systems is a neural network that simulates the human brain and operates in the "black box" mode. Deductive analytical systems for representation of knowledge use transparent formalized models and…

With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…

Personalized learning stems from the idea that students benefit from instructional material tailored to their needs. Many online learning platforms purport to implement some form of personalized learning, often through on-demand tutoring or self-paced instruction, but to our knowledge none have a way to automatically explore for specific…

Adaptive learning is an area of educational technology that consists in delivering personalized learning experiences to address the unique needs of each learner. An important subfield of adaptive learning is learning path personalization: it aims at designing systems that recommend sequences of educational activities to maximize students' learning…

This work focuses on simulation, design, development, and evaluation of a visual Learning Analytics (LA) tool -- Real-time Educational AI-powered Classroom Tool (REACT) -- to support educators' data-driven decision-making. The educational institutions face one of the biggest challenges, such as predicting student performance, detecting undesirable…