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Karrie A. Shogren; Valerie L. Mazzotti; Tyler A. Hicks; Sheida K. Raley; Daria Gerasimova; Jesse R. Pace; Stephen M. Kwiatek; Darcy Fredrick; Jared H. Stewart-Ginsburg; Richard Chapman; Danielle Wysenski – Career Development and Transition for Exceptional Individuals, 2024
Promoting self-determination is essential to effective transition services and supports. The Goal Setting Challenge App (GSC App) was developed to deliver self-determination instruction via technology, building on the evidence-based Self-Determined Learning Model of Instruction (SDLMI). This article presents data on goal attainment outcomes for…
Descriptors: Goal Orientation, COVID-19, Pandemics, Computer Software
Xing, Wanli; Li, Chenglu; Chen, Guanhua; Huang, Xudong; Chao, Jie; Massicotte, Joyce; Xie, Charles – Journal of Educational Computing Research, 2021
Integrating engineering design into K-12 curricula is increasingly important as engineering has been incorporated into many STEM education standards. However, the ill-structured and open-ended nature of engineering design makes it difficult for an instructor to keep track of the design processes of all students simultaneously and provide…
Descriptors: Engineering Education, Design, Feedback (Response), Student Evaluation
Karrie A. Shogren; Valerie L. Mazzotti; Tyler A. Hicks; Sheida K. Raley; Daria Gerasimova; Jesse R. Pace; Stephen M. Kwiatek; Darcy Fredrick; Jared H. Stewart-Ginsburg; Richard Chapman; Danielle C. Wysenski – Grantee Submission, 2022
Promoting self-determination is essential to effective transition services and supports. The Goal Setting Challenge App (GSC App) was developed to deliver self-determination instruction via technology, building on the evidence-based Self-Determined Learning Model of Instruction (SDLMI). This paper presents data on goal attainment outcomes for…
Descriptors: Goal Orientation, COVID-19, Pandemics, Computer Software
Hershkovitz, Arnon; Baker, Ryan S. J. d.; Gobert, Janice; Wixon, Michael; Sao Pedro, Michael – Grantee Submission, 2013
In recent years, an increasing number of analyses in Learning Analytics and Educational Data Mining (EDM) have adopted a "Discovery with Models" approach, where an existing model is used as a key component in a new EDM/analytics analysis. This article presents a theoretical discussion on the emergence of discovery with models, its…
Descriptors: Learning Analytics, Models, Learning Processes, Case Studies

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