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Rahimi, Somaye; Khorasani, Abasalt; Rezaeizadeh, Morteza; Waterworth, John – European Journal of Training and Development, 2022
Purpose: Given the growing popularity of virtual human resources development (VHRD) in organizations and among human resource development (HRD) professionals, it is highly essential to deeply examine the nature and scope of the affective dimensions of the VHRD approach. Over the past decade, VHRD has become an important part of the HRD process.…
Descriptors: Research Reports, Human Resources, Labor Force Development, Computer Simulation
Meli, Kalliopi; Koliopoulos, Dimitrios; Lavidas, Konstantinos – Science & Education, 2022
Teaching and learning introductory thermodynamics has drawn considerable research attention over the last two decades, especially in several disciplines of higher education. Under particular investigation is the First Law of Thermodynamics (FLT), which offers an expression of energy conservation in thermodynamic systems, as the evidence shows that…
Descriptors: Thermodynamics, Science Instruction, Scientific Principles, Teaching Methods
Weinberg, Paul J.; Sorensen-Weinberg, Erika K. – Science Education, 2022
Embodied cognition has been a useful means to support learning in science education. In this article, we describe a model of embodied cognition through analogical mapping that is supported through the participatory simulation and mathematical description of a link and pivot system. We look at the propensity for this model of embodied cognition to…
Descriptors: Human Body, Cognitive Processes, Science Education, Models
Nakayama, Minoru; Sciarrone, Filippo; Temperini, Marco; Uto, Masaki – International Journal of Distance Education Technologies, 2022
Massive open on-line courses (MOOCs) are effective and flexible resources to educate, train, and empower populations. Peer assessment (PA) provides a powerful pedagogical strategy to support educational activities and foster learners' success, also where a huge number of learners is involved. Item response theory (IRT) can model students'…
Descriptors: Item Response Theory, Peer Evaluation, MOOCs, Models
Srisawat, Surasak; Piriyasurawong, Pallop – International Education Studies, 2022
This research aimed to develop metaverse virtual learning management based on gamification techniques model (MVLM-Gt model) and to evaluate the appropriateness of the model. The research methodology was divided into two parts in accordance with these aims. The first part was the design of the learning step using metaverse virtual learning…
Descriptors: Educational Technology, Gamification, Models, Computer Simulation
Deepti Prit Kaur; Archana Mantri – Education and Information Technologies, 2024
Student perception is an essential component in education; especially in engineering courses, which involve complex spatial processes, manipulation and interpretation of graphs, diagrams, and concepts. Incorporation of special training instructions improve spatial skills of learners, assisting them to acquire enhanced conceptual knowledge. Through…
Descriptors: Computer Simulation, Interaction, Visual Aids, Engineering Education
Ahmad Samed Al-Adwan; Mutaz M. Al-Debei – Education and Information Technologies, 2024
The interest in metaverse technology has risen notably in higher education learning contexts. Due to the global spread of the Covid-19 pandemic, higher education institutions are now increasingly emphasising online interactive learning. Higher education institutions are currently investigating the potential of metaverse technology to enhance…
Descriptors: Technology Uses in Education, Computer Simulation, Electronic Learning, Interaction
Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Grantee Submission, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
Sun-Joo Cho; Amanda Goodwin; Matthew Naveiras; Paul De Boeck – Journal of Educational Measurement, 2024
Explanatory item response models (EIRMs) have been applied to investigate the effects of person covariates, item covariates, and their interactions in the fields of reading education and psycholinguistics. In practice, it is often assumed that the relationships between the covariates and the logit transformation of item response probability are…
Descriptors: Item Response Theory, Test Items, Models, Maximum Likelihood Statistics
Oliveira, Karol N.; Naujorks, Amanda C.; Freitas, Welica P. S.; Goncalves, Alem-Mar B.; Calheiro, Lisiane B. – Journal of Chemical Education, 2021
The use of radioactive isotopes in radioactive decay studies can be a problem due to the manipulation of radioisotopes, expensive equipment, and the difficulty of finding samples with a reasonable half-life (between 1 and 10 min). In this paper, we present a mock-up of a Geiger-Mu¨ller counter plus three fictitious radioisotopes. They form an…
Descriptors: Printing, Computer Peripherals, Models, Simulation
Ali, Clement Ayarebilla; Acquah, Saknah; Esia-Donkoh, Kweku – African Educational Research Journal, 2021
The study compared exhaustively the Successive Approximation Model (SAM) and Analyze, Design, Develop, Implement and Evaluate (ADDIE) model on the teaching and learning of Science, Technology, Engineering and Mathematics subjects in Ghana. We selected a sample of 30 student-teachers who offered Mathematics and Science in the distance mode of the…
Descriptors: Models, STEM Education, Concept Formation, Student Teachers
MacLellan, Christopher J.; Gupta, Adit – International Educational Data Mining Society, 2021
There has been great progress towards Reinforcement Learning (RL) approaches that can achieve expert performance across a wide range of domains. However, researchers have not yet applied these models to learn expert models for educationally relevant tasks, such as those taught within tutoring systems and educational games. In this paper we explore…
Descriptors: Models, Learning Activities, Relevance (Education), Reinforcement
Joshi, Megha; Pustejovsky, James E.; Beretvas, S. Natasha – Research Synthesis Methods, 2022
The most common and well-known meta-regression models work under the assumption that there is only one effect size estimate per study and that the estimates are independent. However, meta-analytic reviews of social science research often include multiple effect size estimates per primary study, leading to dependence in the estimates. Some…
Descriptors: Meta Analysis, Regression (Statistics), Models, Effect Size
Hua, Amy K.; Lakey, Pascale S. J.; Shiraiwa, Manabu – Journal of Chemical Education, 2022
This paper presents MATLAB user interfaces for two multiphase kinetic models: the kinetic double-layer model of aerosol surface chemistry and gas--particle interactions (K2-SURF) and the kinetic multilayer model of aerosol surface and bulk chemistry (KM-SUB). Each interface has simple and user-friendly features that allow undergraduate and…
Descriptors: Chemistry, Science Instruction, Computer Interfaces, Kinetics
Mystakidis, Stylianos; Christopoulos, Athanasios; Pellas, Nikolaos – Education and Information Technologies, 2022
While there is an increasing interest in Augmented Reality (AR) technologies in Primary and Secondary (K-12) Education, its application in Higher Education (HE) is still an emerging trend. This study reports findings from a systematic mapping review, based on a total of forty-five (n = 45) articles published in international peer-reviewed journals…
Descriptors: Computer Simulation, Higher Education, STEM Education, Educational Research

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