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Sijia Huang; Seungwon Chung; Carl F. Falk – Journal of Educational Measurement, 2024
In this study, we introduced a cross-classified multidimensional nominal response model (CC-MNRM) to account for various response styles (RS) in the presence of cross-classified data. The proposed model allows slopes to vary across items and can explore impacts of observed covariates on latent constructs. We applied a recently developed variant of…
Descriptors: Response Style (Tests), Classification, Data, Models
Rachel L. Schechter; Paul A. Chase; Apoorva Shivaram – Online Submission, 2023
Using a mixed-method approach, researchers examined college instructors' use of a virtual lab simulation library, Labster, students' perceptions of the simulations on their learning and future STEM plans, as well as data from the library to explore patterns of lab use and quiz scores. A detailed look at Contemporary Biology I and Biology II quiz…
Descriptors: Computer Simulation, Science Laboratories, STEM Education, Models
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Leif Sundberg; Jonny Holmström – Journal of Information Systems Education, 2024
With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…
Descriptors: Artificial Intelligence, Conventional Instruction, Data Collection, Models
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McEneaney, 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
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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
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Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
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Trinh Le Tan; Hoai Thu Thi Nguyen; Nguyen Chau Ngoc Khanh; Thanh Hien Thi Le; Uyen Truong Hoang Vo – Journal of Information Technology Education: Research, 2024
Aim/Purpose: The study aims to analyze the elements/factors that impact students' augmented reality/virtual reality (AR/VR) adoption through their behavior in Vietnamese higher education. In particular, the research demonstrates the influences of and relationships between multiple goals, learner experience, and barriers to adopting AR/VR.…
Descriptors: Computer Simulation, Technology Uses in Education, Student Behavior, Learning Experience
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Reeves, Laura E.; Bolton, Edward; Bulpitt, Matthew; Scott, Alex; Tomey, Ian; Gates, Micah; Baldock, Robert A. – Research in Learning Technology, 2021
In recent years, development of new technologies designed to enhance user experience have accelerated, often being used in modern media such as in films and games. Specifically, immersive experiences, such as virtual reality (VR) and augmented reality (AR), have redefined how digital media can be delivered, encouraging us to interact with and…
Descriptors: Biochemistry, Science Instruction, Instructional Effectiveness, Technology Integration
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Monroe, Christin B.; Stein, Andrew; Tolman, Cynthia – Journal of Science Education for Students with Disabilities, 2022
It is essential for introductory level chemistry students to understand atomic models and how atoms interact to form chemical bonds. The tactile model in this article utilizes marbles to represent subatomic particles, a cup to represent the nucleus and wooden rings to simulate the electron orbitals. These inexpensive items can be combined to…
Descriptors: Introductory Courses, Chemistry, Nuclear Physics, Models
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Liu, Yanping; Yu, Lei; Reichle, Erik D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
This article reports an eye-movement experiment in which participants scanned continuous sequences of Landolt-Cs for target circles to examine the visual and oculomotor constraints that might jointly determine where the eyes move in a task that engages many of the perceptual and motor processes involved in Chinese reading but without lexical or…
Descriptors: Eye Movements, Chinese, Simulation, Foreign Countries
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See, Zi Siang; Ledger, Susan; Goodman, Lizbeth L.; Matthews, Benjamin; Jones, Donovan; Fealy, Shanna; Ooi, Wooi Har; Amin, Manisha – Journal of Information Technology Education: Innovations in Practice, 2023
Aim/Purpose: This paper describes a technologies education model for introducing Simulation Learning and Extended Reality (XR) solution creation skills and knowledge to students at the tertiary education level, which is broadly applicable to higher education-based contexts of teaching and learning. Background: This work is made possible via the…
Descriptors: Technology Education, College Students, Models, Educational Technology
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Zulfa; Nusi, Ahmad; Ananda, Azwar; Efi, Agusti; Pernantah, Piki Setri – International Journal of Instruction, 2022
This study aims to find a simulation project-based learning model for the Minangkabau Natural Culture subject in higher education. This research method uses the research and development (R and D) development procedure using the Plomp development design that goes through 3 steps, namely: Preliminary Research, Prototyping Phase, and Assessment…
Descriptors: Student Projects, Active Learning, Higher Education, Models
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Salar, Riza; Arici, Faruk; Caliklar, Seyma; Yilmaz, Rabia M. – Journal of Science Education and Technology, 2020
The aim of this study is to investigate the augmented reality (AR) immersion experiences of university students studying in science education. The relationship between interest, usability, emotional investment, focus of attention, presence and flow was examined for university students studying in the science education department who used AR…
Descriptors: College Students, Science Education, Usability, Correlation
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Best, Ryan M.; Goldstone, Robert L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Categorical perception (CP) effects manifest as faster or more accurate discrimination between objects that come from different categories compared with objects that come from the same category, controlling for the physical differences between the objects. The most popular explanations of CP effects have relied on perceptual warping causing…
Descriptors: Bias, Comparative Analysis, Models, College Students
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Reich, Ann; Rooney, Donna; Lizier, Amanda L. – International Journal of Training Research, 2021
Technology-enhanced learning and blended learning delivery have been growing in popularity in vocational education and training contexts. Different technology integration frameworks have been developed to assess the extent and nature of this technology integration for learning, using frameworks primarily developed in school and higher education…
Descriptors: Educational Technology, Technology Uses in Education, Vocational Education, Technology Integration
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