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Direct linkJiaxu Liu; Qingtang Liu; Shufan Yu; Jingjing Ma; Mengfan Liu; Linjing Wu – Education and Information Technologies, 2024
Virtual reality learning environment (VRLE), which allow students to transcend time and space and provide them with a sense of immersion, is becoming more common in education. Although many studies have explored the effects of VRLE on learners' learning outcomes as well as learning experiences, the results of these studies indicate that the…
Descriptors: Personal Autonomy, Student Characteristics, Outcomes of Education, Cognitive Processes
Download full textMcEneaney, John; Morsink, Paul – Journal of Learning Analytics, 2022
Learning analytics (LA) provides tools to analyze historical data with the goal of better understanding how curricular structures and features have impacted student learning. Forward-looking curriculum design, however, frequently involves a degree of uncertainty. Historical data may be unavailable, a contemplated modification to curriculum may be…
Descriptors: Curriculum Design, Learning Analytics, Educational Change, Computer Software
Moses Kumi Asamoah; Patricia Ananga; Francis Annor – Journal of Adult and Continuing Education, 2024
This study aimed to investigate students' digital (ICT) skills, perceived relevance (usefulness), and actual use of digital (ICTs) skills for learning. Data were obtained via Google Forms from 325 students who were conveniently sampled from two public universities in Ghana. The results from the multivariate analysis of variance showed that age and…
Descriptors: Foreign Countries, College Students, Public Colleges, Information Technology
Gayathri Sadanala; Xinhao Xu; Hao He; Jhon Bueno-Vesga; Shangman Li – Distance Education, 2025
With the increasing use of virtual reality (VR) technology in education, it is crucial to understand the factors that affect its effectiveness. One area where VR has been utilized is in online orientation, which can be especially beneficial for distant students to start their university programs. This study examines the impact of the learner…
Descriptors: Distance Education, Educational Technology, Technology Uses in Education, Program Effectiveness
Logan W. Qualls; Alex Carlson; Samantha N. Scott; Joanne E. M. Cunningham; Shanna E. Hirsch – Teacher Education and Special Education, 2024
Mixed-reality simulation is a technology-based tool used to augment preservice teacher education in special education; as such, researchers have conducted several studies to assess mixed-reality simulation for its effectiveness and efficacy. Though these researchers have concluded that mixed-reality simulation can be an effective tool, there is…
Descriptors: Special Education Teachers, Computer Simulation, Preservice Teacher Education, Teacher Education Programs
Zhou, Hao; Ma, Xin – Sociological Methods & Research, 2023
Hierarchical linear modeling (HLM) is often used to estimate the effects of socioeconomic status (SES) on academic achievement at different levels of an educational system. However, if a prior academic achievement measure is missing in a HLM model, biased estimates may occur on the effects of student SES and school SES. Phantom effects describe…
Descriptors: Simulation, Hierarchical Linear Modeling, Socioeconomic Status, Institutional Characteristics
Fischer, Frank; Bauer, Elisabeth; Seidel, Tina; Schmidmaier, Ralf; Radkowitsch, Anika; Neuhaus, Birgit J.; Hofer, Sarah I.; Sommerhoff, Daniel; Ufer, Stefan; Kuhn, Jochen; Küchemann, Stefan; Sailer, Michael; Koenen, Jenna; Gartmeier, Martin; Berberat, Pascal; Frenzel, Anne; Heitzmann, Nicole; Holzberger, Doris; Pfeffer, Jürgen; Lewalter, Doris; Niklas, Frank; Schmidt-Hertha, Bernhard; Gollwitzer, Mario; Vorholzer, Andreas; Chernikova, Olga; Schons, Christian; Pickal, Amadeus J.; Bannert, Maria; Michaeli, Tilman; Stadler, Matthias; Fischer, Martin R. – Information and Learning Sciences, 2022
Purpose: To advance the learning of professional practices in teacher education and medical education, this conceptual paper aims to introduce the idea of representational scaffolding for digital simulations in higher education. Design/methodology/approach: This study outlines the ideas of core practices in two important fields of higher…
Descriptors: Scaffolding (Teaching Technique), Teaching Methods, Computer Simulation, Higher Education
DeMars, Christine E. – Journal of Experimental Education, 2020
Multilevel Rasch models are increasingly used to estimate the relationships between test scores and student and school factors. Response data were generated to follow one-, two-, and three-parameter logistic (1PL, 2PL, 3PL) models, but the Rasch model was used to estimate the latent regression parameters. When the response functions followed 2PL…
Descriptors: Hierarchical Linear Modeling, Regression (Statistics), Simulation, Predictor Variables
Nerea López-Bouzas; M. Esther del Moral-Pérez; Jonathan Castañeda-Fernández – Education and Information Technologies, 2024
Active methodologies such as gamification, combined with emerging technologies like augmented reality, are enhancing learning environments that facilitate the development of essential competencies. Particularly, students with Autism Spectrum Disorder (ASD) require reinforcement of their Communicative Competence (CC) to activate their abilities to…
Descriptors: Communication Skills, Gamification, Autism Spectrum Disorders, Physical Environment
Brittney Heibel; Ryan Anderson; Marshall Swafford; Bradley Borges – Journal of Agricultural Education, 2024
Virtual reality (VR) technology is an advanced modern resource commonly integrated into various forms of training. VR training simulations are customizable in that quality-grading parameter settings, physical environment, and user capacity can be modified to personal or professional preference. In this study, VR technology training practices are…
Descriptors: Technology Integration, Computer Simulation, Sequential Approach, Training Methods
Wainman, Bruce; Aggarwal, Akanksha; Birk, Sapriya K.; Gill, Jaskaran S.; Hass, Katrina S.; Fenesi, Barbara – Anatomical Sciences Education, 2021
The novelty of three-dimensional visualization technology (3DVT), such as virtual reality (VR), has captured the interest of many educational institutions. This study's objectives were to (1) assess how VR and physical models impact anatomy learning, (2) determine the effect of visuospatial ability on anatomy learning from VR and physical models,…
Descriptors: Electronic Learning, Computer Simulation, Laboratory Procedures, Anatomy
Dong, Yixiao; Dumas, Denis; Clements, Douglas H.; Sarama, Julie – Journal of Experimental Education, 2023
Dynamic Measurement Modeling (DMM) is a recently-developed measurement framework for gauging developing constructs (e.g., learning capacity) that conventional single-timepoint tests cannot assess. The current project developed a person-specific DMM Trajectory Deviance Index (TDI) that captures the aberrance of an individual's growth from the…
Descriptors: Measurement Techniques, Simulation, Student Development, Educational Research
Azzah Al-Maskari; Thuraya Al Riyami; Sami Ghnimi – Journal of Applied Research in Higher Education, 2024
Purpose: Knowing the students' readiness for the fourth industrial revolution (4IR) is essential to producing competent, knowledgeable and skilled graduates who can contribute to the skilled workforce in the country. This will assist the Higher Education Institutions (HEIs) to ensure that their graduates own skill sets needed to work in the 4IR…
Descriptors: Career Readiness, Technological Literacy, Student Attitudes, Information Technology
Daniel J. Mills; Jeremy S. White – Turkish Online Journal of Educational Technology - TOJET, 2024
The researchers examined the relationship between informal digital gameplay and learner profiles in two Japanese private universities. Seventy-eight participants responded to 59 items on a digital questionnaire that consisted of four sections: 1) Learner Profiles, 2) Digital Game Usage, 3) Open-Responses, and 4) Demographics. The results of the…
Descriptors: Influence of Technology, Private Colleges, Foreign Countries, Game Based Learning
Li, ZhaoBin; Yee, Luna; Sauerberg, Nathaniel; Sakson, Irene; Williams, Joseph Jay; Rafferty, Anna N. – International Educational Data Mining Society, 2020
Digital educational technologies offer the potential to customize students' experiences and learn what works for which students, enhancing the technology as more students interact with it. We consider whether and when attempting to discover how to personalize has a cost, such as if the adaptation to personal information can delay the adoption of…
Descriptors: Educational Technology, Technology Uses in Education, Student Needs, Student Characteristics
