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Direct linkStefan Ruseti; Ionut Paraschiv; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Automated Essay Scoring (AES) is a well-studied problem in Natural Language Processing applied in education. Solutions vary from handcrafted linguistic features to large Transformer-based models, implying a significant effort in feature extraction and model implementation. We introduce a novel Automated Machine Learning (AutoML) pipeline…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essays
Download full textWalkington, Candace; Gravell, Jamie; Velazquez, Jos̩ A.; He, Tianyu; Hickey, George; Nathan, Mitchell J.; Cuevas, Anthony РGrantee Submission, 2021
Augmented Reality (AR) and Virtual Reality (VR) platforms now support shared, immersive experiences that enable people to directly physically and perceptually engage with mathematical objects, including shared objects. These new forms of AR/VR technology -- which we call "shared holographic AR/VR" (shAR) -- enable multiple learners to…
Descriptors: Cooperative Learning, Electronic Learning, Computer Simulation, Mathematics Education
Shernoff, Elisa S.; Von Schalscha, Katherine; Gabbard, Joseph; Delmarre, Alban; Frazier, Stacy L.; Buche, Cedric; Lisetti, Christine – Grantee Submission, 2020
Simulation offers unique affordances over traditional training (e.g., remote access, mastery learning experiences, immediate feedback) relevant to teacher training in behavior management. This study describes a user-based evaluation of Interactive Virtual Training for Teachers (IVT-T). The study involved observing representative users (seven…
Descriptors: Usability, Instructional Design, Computer Simulation, Teacher Education
Shi, Genghu; Wang, Lijia; Zhang, Liang; Shubeck, Keith; Peng, Shun; Hu, Xiangen; Graesser, Arthur C. – Grantee Submission, 2021
Adult learners with low literacy skills compose a highly heterogeneous population in terms of demographic variables, educational backgrounds, knowledge and skills in reading, self-efficacy, motivation etc. They also face various difficulties in consistently attending offline literacy programs, such as unstable worktime, transportation…
Descriptors: Intelligent Tutoring Systems, Adult Literacy, Adult Students, Reading Comprehension
Ahn, June; Asbell-Clarke, Jodi; Berland, Matthew; Chase, Catherine; Enyedy, Noel; Fusco, Judith; Gardner, Shari; Grover, Shuchi; Halverson, Erica; Jona, Kemi; Lane, H. Chad; Martin, Wendy; Mercier, Emma; Moher, Tom; Ogan, Amy; Pinkard, Nichole; Polman, Joseph; Roschelle, Jeremy; Schank, Patricia; Taylor, Katie Headrick; Wilkerson, Michelle; Worsley, Marcelo – Grantee Submission, 2017
Cyberlearning researchers envision and investigate the future of learning with technology. As of summer 2017, the Cyberlearning and Future Learning Technologies (CFTL) program of the National Science Foundation (NSF) had made 279 research grant awards. In addition, several hundred other NSF research projects have cyberlearning themes. Many of…
Descriptors: Educational Research, Science Course Improvement Projects, Instructional Design, Research Projects
Ward, W.; Cole, R.; Bolanos, D.; Buchenroth-Martin, C.; Svirsky, E.; Van Vuuren, S.; Weston, T.; Zheng, J.; Becker, L. – Grantee Submission, 2011
This paper describes My Science Tutor (MyST), an intelligent tutoring system designed to improve science learning by students in 3rd, 4th and 5th grades (7 to 11 years old) through conversational dialogs with a virtual science tutor. In our study, individual students engage in spoken dialogs with the virtual tutor Marni during 15 to 20 minute…
Descriptors: Elementary School Science, Elementary School Students, Science Education, Intelligent Tutoring Systems
