Range Of Educational Applications Research Articles

ChatGPT for Teaching, Learning and Research: Prospects and Challenges

The introduction of artificial intelligence in the field of education has resulted from the use of information and communication technologies as a tool for improving teaching and learning. Expert systems and machine intelligence have the potential to revolutionize education by providing personalized learning experiences, automating repetitive tasks, and allowing teachers to focus on more important tasks such as providing one-on-one attention to students. It is utilized in a range of educational applications, including adaptive learning systems that may change the complexity of content depending on a student's performance. This paper reviews literature on the educational implications of artificial intelligence. By evaluating some of ChatGPT's capabilities, the study evaluates the possibilities and limitations of OpenAI's ChatGPT for teaching, learning, and research. The results indicated that ChatGPT delivers rapid and instantaneous response to search queries, as well as automatic text production that resembles conversation response. The article also highlighted some of the difficulties experienced, such as a lack of citation and reference. The researcher suggested recommendations such as ensuring to cite and reference the replies supplied by ChatGPT.

A COMPARATIVE STUDY BETWEEN GOOGLE WORKSPACE AND MICROSOFT OFFICE 365 PRODUCTIVITY SERVICES IN IRAQI EDUCATIONAL INSTITUTIONS

Many Iraqi Educational Institutions have started considering adding a Cloud productivity applications which are used by students and teaching staffs, These are a complementary group of solving cloud-based productivity tools of Google and Microsoft aiming to enable users to create, store and access their applications and programs at any time, and from anywhere by using various devices, whether Desktop, mobile or smart devices, and users can be given an email with the name of the facility and give different authorities to accomplish their work. To use the best providers of Collaborative tools and solutions which can be used greatly in the Educational Process Google, specifically, offers Google Workspace for educational and Microsoft offers Microsoft Office 365. Both Office 365 and Workspace are extraordinary tools for providing productive services in education fields, and non-profit organizations can get copies that are donated by the two companies. However, there are significant differences between them, so one should think best in choosing which platform is appropriate for Iraqi Educational Institutions. This is an incredibly complex question with so many comparative points between them. Both Workspace and Office 365 are regarded are the two important tools in providing productivity Service in Education Sectors. In this present study, it is hoped to mention the differences between the two cloud platforms that can help IT administrators in educational institutions to choose the best and most suitable program, and make balance with amazing set of factors, including contract terms, organizational issues, the ability to integrate with a range of educational applications, and the use of servers, and host, packet inspection and tools, protocol analysis and service quality, measurement and improvement of response time, data transfer rate and network performance so that it can be compatible with the technological infrastructure in Iraq. Both platforms provide custom email for all businesses which include collaboration tools such as Mail, Calendar, Meet, Chat, Drive, Docs, Sheets, Presentations, Forms, Groups, Discussions Board, Sites and etc., which are a free set of easy-to-use tools that provide a flexible and secure basis for learning and teaching process, collaboration and communication. Keywords: Google Workspace for Education, Microsoft Office 365 For Education, Cloud Service, Collaboration and Communication.

On Longitudinal Item Response Theory Models: A Didactic

Recent work on measuring growth with categorical outcome variables has combined the item response theory (IRT) measurement model with the latent growth curve model and extended the assessment of growth to multidimensional IRT models and higher order IRT models. However, there is a lack of synthetic studies that clearly evaluate the strength and limitations of different multilevel IRT models for measuring growth. This study aims to introduce the various longitudinal IRT models, including the longitudinal unidimensional IRT model, longitudinal multidimensional IRT model, and longitudinal higher order IRT model, which cover a broad range of applications in education and social science. Following a comparison of the parameterizations, identification constraints, strengths, and weaknesses of the different models, a real data example is provided to illustrate the application of different longitudinal IRT models to model students’ growth trajectories on multiple latent abilities.

An Analysis of Learners’ Intentions Toward Virtual Reality Learning Based on Constructivist and Technology Acceptance Approaches

<p class="3">Within a constructivist paradigm, the virtual reality technology focuses on the learner's actively interactive learning processes and attempts to reduce the gap between the learner’s knowledge and a real-life experience. Recently, virtual reality technologies have been developed for a wide range of applications in education, but further research is needed to establish appropriate and effective learning techniques and practices to motivate meaningful learning. Results showed that perceived self-efficacy and perceived interaction are two crucial factors affecting perceived ease of use, perceived usefulness and learning motivation. Furthermore, learning motivation is also a predictor to affect perceived usefulness. After that, perceived ease of use, perceived usefulness, and learning motivation are three important factors affecting learner intention to use the virtual reality learning environment.</p>

A Linked Dataset of medical educational resources

AbstractReusable educational resources became increasingly important for enhancing learning and teaching experiences, particularly in the medical domain where resources are particularly expensive to produce. While interoperability across educational resources metadata repositories is yet limited to the heterogeneity of metadata standards and interface mechanisms with a lack of shared or aligned controlled vocabularies, Linked Data (LD) principles, based on W3C standards and supported through a wide range of tools, open up opportunities to alleviate such problems. We introduce the “mEducator Linked Educational Resources” dataset, which offers a range of open educational resources for the medical domain, exposed through LD principles. Data have been generated through a combination of manual curation and semi‐automated harvesting techniques, and state‐of‐the‐art enrichment and clustering techniques were deployed in order to classify and categorize data, toward improved reusability and access. Data are currently used by a range of educational applications and is accessible for third parties and developers, for instance through the LinkedUp Catalog and other registries, to facilitate further take‐up and applications.

Universal Design Research as a New Materialist Practice

In Disability Studies, Universal Design (UD) is a concept that is often borrowed from an architectural or design context to mean an ideology of inclusion and flexibility with a range of applications in education, technology, and other milieus. This paper returns to UD as a design phenomenon, considering knowledge production practices as conditions of possibility for inclusive design. UD appropriates and redefines normalizing research methods, namely anthropometry, that were developed in the 19th century for uses that are contrary to disability rights and justice, such as eugenics, colonialism, and scientific racism. The paper argues that critical disability theory should understand work in UD research and design practice in order to formulate a nuanced, new materialist and historical disability epistemology, particularly in engagements with scientific knowledge. Keywords: Universal Design, accessibility, anthropometry, normate, misfit, 19th century science, eugenics, new materialism

Stella: growing upward, downward, and outward [software review

The author reviews Stella's modeling capabilities for both research and instruction. He describes the basic modeling tools using his student's quest as a simple, illustrative case study, exploring how these tools contribute to speed and efficiency in creating models for concept testing. He also examines some of Stella's broader research capabilities in the context of how they support and connect with more specific and scalable modeling systems implemented in high-end systems. Finally, he comments on Stella's range of educational applications. Stella (www.hps-inc.com) is a modeling application that can serve such needs, although it makes a relatively expensive scratch pad. Fortunately, it also provides other capabilities that add to its value as a productivity tool, just as a spreadsheet application lets you both build certain kinds of models and formulate a budget. Stella has several component toolsets, and its user interface is organized in layers. As such, the test of the application's total value is not just in its range of functionality but also in how well its toolsets and layers are integrated. The premise underlying Stella's design is that "systems thinking" is important for solving a wide class of problems and that there is a need for tools that support and cultivate this methodology.

Stella: Growing Upward, Downward, and Outward

In this article, I'll review Stella's modeling capabilities for both research and instruction. I'll describe the basic modeling tools using my student's quest as a simple, illustrative case study, exploring how these tools contribute to speed and efficiency in creating models for concept testing. I will also examine some of Stella's broader research capabilities in the context of how they support and connect with more specific and scalable modeling systems implemented in high-end systems. Finally, I will comment on Stella's range of educational applications.