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Katherine Connolly; Jessica B. Koslouski; Sandra M. Chafouleas; Marlene B. Schwartz; Bonnie Edmondson; Amy M. Briesch – Journal of School Health, 2024
Background: Adoption of the Whole School, Whole Community, Whole Child (WSCC) model has been slowed by a lack of available tools to support implementation. The Wellness School Assessment Tool (WellSAT) WSCC is an online assessment tool that allows schools to evaluate the alignment of their policies with the WSCC model. This study assesses the…
Descriptors: Usability, Wellness, Program Evaluation, Evaluation Methods
Aïcha Bakki; Lahcen Oubahssi; Youness Laghouaouta; Sébastien George – Interactive Learning Environments, 2024
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,…
Descriptors: MOOCs, Learning Management Systems, Business Education, Models
Ulrike Padó; Yunus Eryilmaz; Larissa Kirschner – International Journal of Artificial Intelligence in Education, 2024
Short-Answer Grading (SAG) is a time-consuming task for teachers that automated SAG models have long promised to make easier. However, there are three challenges for their broad-scale adoption: A technical challenge regarding the need for high-quality models, which is exacerbated for languages with fewer resources than English; a usability…
Descriptors: Grading, Automation, Test Format, Computer Assisted Testing
Daniel McNeish – Grantee Submission, 2023
Factor analysis is often used to model scales created to measure latent constructs, and internal structure validity evidence is commonly assessed with indices like SRMR, RMSEA, and CFI. These indices are essentially effect size measures and definitive benchmarks regarding which values connote reasonable fit have been elusive. Simulations from the…
Descriptors: Models, Testing, Indexes, Factor Analysis
Kamil Çelik; Ahmet Ayaz – Educational Technology Research and Development, 2025
Technological advancements in recent years have accelerated the development of information and communication technologies, introducing numerous innovations. One prominent innovation is the concept of the metaverse, which has gained significant popularity and is increasingly influencing various sectors, including the economy, art, entertainment,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Intention, Computer Science Education
Muhammad Andiri Hendrawan; Romadhani Ardi – International Society for Technology, Education, and Science, 2023
The use of smartphones has become a primary need in supporting human daily activities. With the presence of a smartphone, various activities can be carried out only through an application. One application that is currently popular with Indonesians is an investment application with products such as stocks, mutual funds, and crypto. The presence of…
Descriptors: Handheld Devices, Computer Oriented Programs, Models, Investment
David, Adonis P.; Aruta, John Jamir Benzon R. – Educational Media International, 2022
Determining factors of teachers' intention to use technology is important. Drawing from the Technology Acceptance Model (TAM), we tested a research model depicting the direct and indirect effects of teachers' age, gender, perceived ease of use, perceived usefulness, and attitude towards use of technology on their behavioral intention to use…
Descriptors: Foreign Countries, Teacher Attitudes, Intention, Technology Uses in Education
Lai, Jennifer W. M.; De Nobile, John; Bower, Matt; Breyer, Yvonne – Education and Information Technologies, 2022
Although a large variety of methodologies, contexts and perspectives have been used to examine educational application of technology, there is a paucity of instruments that are designed to comprehensively evaluate the use of technology in education. This paper presents a Confirmatory Factor Analysis (CFA) of an instrument that incorporates eight…
Descriptors: Program Evaluation, Technology Uses in Education, MOOCs, Factor Analysis
Khalid Alalawi; Rukshan Athauda; Raymond Chiong; Ian Renner – Education and Information Technologies, 2025
Learning analytics intervention (LAI) studies aim to identify at-risk students early during an academic term using predictive models and facilitate educators to provide effective interventions to improve educational outcomes. A major impediment to the uptake of LAI is the lack of access to LAI infrastructure by educators to pilot LAI, which…
Descriptors: Intervention, Learning Analytics, Guidelines, Prediction
Hon Keung Yau; Ka Fai Tung – Turkish Online Journal of Educational Technology - TOJET, 2025
This study explores the development and evaluation of a chatbot model designed to facilitate learning within a department of a university. The project aims to enhance the learning experience by incorporating customized data into the chatbot's knowledge base, enabling personalized and context-aware interactions. The research investigates the…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Computer Software, Technology Integration
García-Murillo, Gabriel; Novoa-Hernández, Pavel; Rodri?uez, Rocío Serrano – Interactive Learning Environments, 2023
In this study, we report on a Systematic Mapping Study (SMS) for the application of technology acceptance models to Moodle under the prism of latent variable modeling. Based on an automatic search including primary studies from journals, conferences, and book chapters during 2001 to 2019, 41 primary were selected. We aim to contribute to a better…
Descriptors: Learning Management Systems, College Students, Technology Uses in Education, Educational Research
Thuy Dung Pham Thi; Nam Tien Duong – Education and Information Technologies, 2024
With the explosive growth of various applications on the Internet, higher education institutions have advocated distance learning courses, making research on online learning increasingly important. This study attempts to emphasize the characteristics of instruction in online learning systems, using the Theory of Planned Behavior. Two groups of…
Descriptors: Electronic Learning, College Students, Behavior Theories, Intention
Fatni Mufit; Yeka Hendriyani; Muhammad Dhanil – Journal of Turkish Science Education, 2024
This research aims to design immersive virtual reality with cognitive conflict to support practical learning of quantum physics. This type of research is design research through the stages of needs analysis, product design, validity test, and practicality test. The needs analysis used questionnaire sheets distributed with Google Forms and obtained…
Descriptors: Teaching Methods, Physics, Science Instruction, Quantum Mechanics
Saba Sareminia; Vida Mohammadi Dehcheshmeh – International Journal of Information and Learning Technology, 2024
Purpose: Although E-learning has been in use for over two decades, running parallel to traditional learning systems, it has gained increased attention due to its vital role in universities in the wake of the COVID-19 pandemic. The primary challenge within E-learning pertains to the maintenance of sustainable effectiveness and the assurance of…
Descriptors: Educational Improvement, Electronic Learning, Personality Traits, Models
Songkram, Noawanit; Chootongchai, Suparoek – Education and Information Technologies, 2022
Learning systems are widely adopted as educational tools. The success of a learning system depends on the level of acceptance by instructors and learners. Research has identified Education as a Service (EaaS) as a resource that enables instructors and learners to access a new kind of service for learning system, containing: (1) support tools and…
Descriptors: Models, Usability, Educational Quality, Higher Education