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Kotlyar, Igor; Sharifi, Tina; Fiksenbaum, Lisa – International Journal of Artificial Intelligence in Education, 2023
Teamwork skills are commonly evaluated by human assessors, which can be logistically challenging and resource intensive. Technological advancements provide an opportunity for a new assessment method -- virtual behavioural simulations with self-scoring algorithms. This study explores whether a rule-based algorithm can match human assessors at…
Descriptors: Algorithms, Undergraduate Students, Computer Simulation, Evaluation
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
Wilson, Jahi – ProQuest LLC, 2023
The purpose of the current study was to examine the effectiveness of virtual reality as a creative adaptive learning tool to help participants control their perceived stress and, in turn, their psychological well-being. The study leveraged humanistic learning theory to conceptualize findings. 353 participants were recruited from five high schools…
Descriptors: Computer Simulation, Anxiety, Well Being, Prediction
Echeverri Jimenez, Emmanuel Iamsun – ProQuest LLC, 2022
At the molecular level, chemical processes involve the rearrangement of atoms in space and time. Students often struggle with visualizing the 3D spatial characteristics of molecules and transition states, as well as recognizing the dynamic nature of chemistry. Both visual spatial skills and representational competence should be explicitly trained…
Descriptors: Computer Simulation, Educational Environment, Prediction, Spatial Ability
Wolf, Mark E.; Norris, J. Widener; Fynewever, Herb; Turney, Justin M.; Schaefer, Henry F., III – Journal of Chemical Education, 2022
Over the past half century, computational chemistry has evolved from a niche field to a ubiquitous pillar of modern chemical research. Driven by the increased demand for computational chemistry in research settings, the undergraduate curriculum has evolved alongside to ensure that students are well-equipped for modern research. Toward this end,…
Descriptors: Science Instruction, Science Laboratories, Chemistry, Computer Simulation
Natalia Spitha; Yujian Zhang; Samuel Pazicni; Sarah A. Fullington; Carla Morais; Amanda Rae Buchberger; Pamela S. Doolittle – Chemistry Education Research and Practice, 2024
The Beer-Lambert law is a fundamental relationship in chemistry that helps connect macroscopic experimental observations (i.e., the amount of light exiting a solution sample) to a symbolic model composed of system-level parameters (e.g., concentration values). Despite the wide use of the Beer-Lambert law in the undergraduate chemistry curriculum…
Descriptors: Chemistry, Science Instruction, Undergraduate Students, Scientific Principles
Liu, Zheyu; Yu, Ping; Liu, Jiale; Pi, Zhongling; Cui, Weijin – British Journal of Educational Technology, 2023
Virtual reality, as an excellent supportive instructional technology, has gained increasing attention from educators and professionals, where desktop-based virtual reality (DVR) is broadly adopted due to its affordability and accessibility. However, when evaluating students' learning experiences such as flow experiences in DVR environments, most…
Descriptors: Self Control, STEM Education, Computer Simulation, Undergraduate Students
Kaste, Joshua A. M.; Green, Antwan; Shachar-Hill, Yair – Biochemistry and Molecular Biology Education, 2023
The modeling of rates of biochemical reactions--fluxes--in metabolic networks is widely used for both basic biological research and biotechnological applications. A number of different modeling methods have been developed to estimate and predict fluxes, including kinetic and constraint-based (Metabolic Flux Analysis and flux balance analysis)…
Descriptors: Science Instruction, Teaching Methods, Prediction, Metabolism
Cock, Jade; Marras, Mirko; Giang, Christian; Käser, Tanja – International Educational Data Mining Society, 2021
Interactive simulations allow students to independently explore scientific phenomena and ideally infer the underlying principles through their exploration. Effectively using such environments is challenging for many students and therefore, adaptive guidance has the potential to improve student learning. Providing effective support is, however,…
Descriptors: Prediction, Concept Formation, Scientific Concepts, Physics
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
Cock, Jade Maï; Marras, Mirko; Giang, Christian; Käser, Tanja – International Educational Data Mining Society, 2022
Interactive simulations allow students to discover the underlying principles of a scientific phenomenon through their own exploration. Unfortunately, students often struggle to learn effectively in these environments. Classifying students' interaction data in the simulations based on their expected performance has the potential to enable adaptive…
Descriptors: Science Instruction, Prediction, Models, Interaction
Sprenger, David A.; Schwaninger, Adrian – British Journal of Educational Technology, 2023
The technology acceptance model (TAM) uses perceived usefulness and perceived ease of use to predict the intention to use a technology which is important when deciding to invest in a technology. Its extension for e-learning (the general extended technology acceptance model for e-learning; GETAMEL) adds subjective norm to predict the intention to…
Descriptors: Video Technology, Demonstrations (Educational), Prediction, Intention
Karacan, Cemil Gökhan; Polat, Mustafa – Journal of Digital Learning in Teacher Education, 2022
Augmented Reality (AR) is a new-generation technology that shows video, picture, and animated 3 D objects over real-life scenes. Despite AR's prevalence around the world, language teacher education programs are not prompt in the integration of digital educational tools. The present study explored the factors that predict pre-service English…
Descriptors: Physical Environment, Simulated Environment, Synthesis, Information Technology
Turaç, Memet; Yildirim, Nail – International Online Journal of Education and Teaching, 2021
The aim of the study was to speculate about the education in the future in terms of students, classrooms, teachers and schools by adhering to science fiction films. The samples of the study comprised 50 science fiction films selected purposefully among motion pictures by two academics from the field of educational sciences, and one expert from the…
Descriptors: Science Fiction, Films, College Faculty, Prediction
Lupker, Stephen J.; Spinelli, Giacomo; Davis, Colin J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
A word's exterior letters, particularly its initial letter, appear to have a special status when reading. Therefore, most orthographic coding models incorporate assumptions giving initial letters and, in some cases, final letters, enhanced importance during the orthographic coding process. In the present article, 3 masked priming experiments were…
Descriptors: Alphabets, Reading Processes, Priming, Decision Making