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Brizard, Jean-Claude – Digital Promise, 2023
Talladega County Schools (TCBOE) spans 760 square miles and serves about 7,000 learners, 71 percent of whom receive free and reduced-priced meals. It also is a member of the League of Innovative Schools, a network of forward-looking school districts that have declared their commitment to improving and advancing equitable outcomes for students…
Descriptors: Educational Innovation, Educational Technology, Scaling, Student Centered Learning
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Catherine Lammert; Samuel DeJulio; Stephanie Grote-Garcia; Lucretia M. Fraga – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2024
Since ChatGPT launched in 2022, teachers and administrators have had the challenge of using generative Artificial Intelligence (AI) effectively while minimizing the negative consequences of its presence in schools. Today, AI-enabled lesson plan generators such as Diffit and MagicSchool AI are widely available to teachers, but no research has…
Descriptors: Artificial Intelligence, Lesson Plans, Access to Education, Educational Quality
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Wisler, Alan; Teplansky, Kristin; Heitzman, Daragh; Wang, Jun – Journal of Speech, Language, and Hearing Research, 2021
Purpose: Kinematic measurements of speech have demonstrated some success in automatic detection of early symptoms of amyotrophic lateral sclerosis (ALS). In this study, we examined how the region of symptom onset (bulbar vs. spinal) affects the ability of data-driven models to detect ALS. Method: We used a correlation structure of articulatory…
Descriptors: Symptoms (Individual Disorders), Neurological Impairments, Articulation (Speech), Brain Hemisphere Functions
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Lucy, Li; Demszky, Dorottya; Bromley, Patricia; Jurafsky, Dan – AERA Open, 2020
Cutting-edge data science techniques can shed new light on fundamental questions in educational research. We apply techniques from natural language processing (lexicons, word embeddings, topic models) to 15 U.S. history textbooks widely used in Texas between 2015 and 2017, studying their depiction of historically marginalized groups. We find that…
Descriptors: Textbooks, United States History, History Instruction, Textbook Content
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Jain, G. Panka; Gurupur, Varadraj P.; Schroeder, Jennifer L.; Faulkenberry, Eileen D. – IEEE Transactions on Learning Technologies, 2014
In this paper, we describe a tool coined as artificial intelligence-based student learning evaluation tool (AISLE). The main purpose of this tool is to improve the use of artificial intelligence techniques in evaluating a student's understanding of a particular topic of study using concept maps. Here, we calculate the probability distribution of…
Descriptors: Artificial Intelligence, Concept Mapping, Teaching Methods, Student Evaluation