Technological advancements, particularly in the field of education, are influencing the future course of education and the process of acquiring knowledge. Prior studies have investigated the implementation of education technology (edtech), but has paid little attention on continuous intention of using it. This research broadens the application of…

This research aims to develop an adaptive digital project-based learning model enhanced with artificial intelligence technology to facilitate the creation of digital content. A systematic approach was employed, divided into three phases: 1) study and synthesis of conceptual frameworks to understand the elements and relationships of related…

In anatomical research and education, three-dimensional visualization of anatomical structures is crucial for understanding spatial relationships in diagnostics, surgical planning, and teaching. While computed tomography (CT) and magnetic resonance imaging (MRI) offer valuable insights, they are often expensive and require specialized resources.…

This study examined the relationship between trust in AI-powered educational technology (AI-EdTech) and school burnout among Turkish high school students and the mediating role of perceived usefulness and academic stress in this relationship. A total of 619 students (M[subscript age] = 15.95, SD = 0.94) participated in the study, and structural…

The current paper utilizes the Model for Convivial Tools to assess the advantages and disadvantages of adopting generative artificial intelligence (AI) tools, like ChatGPT, in music classrooms. This model brings to the fore the potential of ChatGPT to affect community, instigate environmental harms, advance access and ease, and support agency.…

This paper introduces web viewers for educational VR contents. Recently, many types of VR goggles have been released as commercial products and many entertainment applications for them have been created. However, educational VR contents have been created so far are not so many because the creation of VR contents is time consuming task. We need to…

Deep learning models for text classification have been increasingly used in intelligent tutoring systems and educational writing assistants. However, the scarcity of data in many educational settings, as well as certain imbalances in counts among the annotated labels of educational datasets, limits the generalizability and expressiveness of…

As artificial intelligence (AI) is rapidly being adopted and used in society, it is imperative that teachers feel supported to integrate AI and computer science (CS) into their coursework. To help support teachers to integrate CS and AI into their instruction, we designed and developed an innovative AI curriculum, Shark AI, for in-service science…

We propose a novel method for automated short answer grading (ASAG) designed for practical use in real-world settings. The method combines LLM embedding similarity with a nonlinear regression function, enabling accurate prediction from a small number of expert-graded responses. In this use case, a grader manually assesses a few responses, while…

Machine learning (ML) methods are among the most promising technologies with wide-ranging research opportunities, particularly in the field of education, where they can be used to enhance student learning outcomes. This study explores the potential of machine learning algorithms to build and train models using log data from the "3D…

For years, researchers and practitioners alike have searched for meaningful ways to describe or evaluate how technology was being integrated into teaching or to what level. This article will briefly summarize some of the predominant lenses through which to view technology integration and propose a new model for designing meaningfully…

The proliferation of digital learning platforms has revolutionized the generation, accessibility, and dissemination of educational resources, fostered collaborative learning environments and producing vast amounts of interaction data. Machine learning (ML) algorithms have emerged as powerful tools for analyzing these complex datasets, uncovering…

The teacher's central role in technology integration and the challenges of that integration emphasise the need for a deeper understanding about the teacher's knowledge required to teach with technology. Based on previous work and a systematic literature review, we identified three knowledge models often used: TPACK, KTMT and PTK. The goal of this…

Business Process Model and Notation (BPMN) is a standard formalism for business process modeling that is very popular in professional practices due to its expressiveness, the well-defined meta-model, and its easiness of use by non-technical users. For instance, BPMN2.0 is used for business processes in commercial areas such as banks, shops,…

In using large language models (LLMs) for education, such as distractors in multiple-choice questions and learning by teaching, error-containing content is used. Prompt tuning and retraining LLMs are possible ways of having LLMs generate error-containing sentences in the learning content. However, there needs to be more discussion on how to tune…