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Christine Mulhern – Grantee Submission, 2020
Choosing where to apply to college is a complex problem with long-term consequences, but many students lack the guidance necessary to make optimal choices. I show that a technology which provides low-cost personalized college admissions information to over forty percent of high schoolers significantly alters college choices. Students shift…
Descriptors: College Choice, College Admission, Artificial Intelligence, Computer Software
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J. Pablo Rosas Baldazo; Yasmín Á. Ríos-Solís; Romeo Sánchez Nigenda – Interactive Learning Environments, 2024
Learning path generation involves the computation of learning trajectories to personalize academic instruction to prevent school problems. The Educational Planning Problem (EPP) considers generating personalized learning paths by scheduling activities that satisfy expected grades while minimizing plans makespan. In this work, we propose two…
Descriptors: Study Habits, Scheduling, Time Management, Computer Software
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Samantha R. Goldman; Adam Carreon; Sean J. Smith – Journal of Special Education Preparation, 2024
With the introduction of artificial intelligence (AI), specifically generative AI and large language models (e.g., ChatGPT, Google Gemini), into education, there is a conversation regarding what knowledge teachers still need and will need moving forward. In this article, we describe how AI can, and should, be aligned to the Technological…
Descriptors: Special Education Teachers, Teacher Education Programs, Technological Literacy, Pedagogical Content Knowledge
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Jones, Beth A.; Peterson-Ahmad, Maria; Fields, Melanie; Williams, Nichole – Journal of Special Education Technology, 2021
Understanding how to appropriately choose, implement, and utilize assistive technology (AT) for students on an individualized education program (IEP) is imperative to success within a school setting and has been shown to improve with preservice teachers' (PST) training. This study investigated the impact that a training session in which PST were…
Descriptors: Assistive Technology, Student Needs, Preservice Teacher Education, Training
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Gray, Sara A.; Zraick, Richard I.; Atcherson, Samuel R. – Language, Speech, and Hearing Services in Schools, 2019
Purpose: The purpose of this study was to analyze the readability of Individuals with Disabilities Education Act (IDEA) Part B procedural safeguard documents, as distributed by each of the 50 U.S. states. Results were compared to the 5th- to 6th-grade readability guideline for documents recommended by experts in health literacy and health…
Descriptors: Readability, Educational Legislation, Disabilities, Federal Legislation