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Full-Text Articles in Education
Balancing The Benefits And Risks Of Ai Large Language Models In K12 Public Schools, Jesse Senechal, Eric Ekholm, Samaher Aljudaibi, Mary Strawderman, Chris Parthemos
Balancing The Benefits And Risks Of Ai Large Language Models In K12 Public Schools, Jesse Senechal, Eric Ekholm, Samaher Aljudaibi, Mary Strawderman, Chris Parthemos
MERC Publications
With artificial intelligence (AI) models rapidly emerging, the potential implications for K12 education are imminent. To illuminate the potential impacts on public schools, this MERC research brief answers the following questions: 1) What is AI? What are AI large language models? How do they work?, 2) What are the implications of large language models for teaching and learning?, 3) What are the main concerns with the use of AI large language models? What are the concerns for use within public schools?, 4) What are the considerations for school district policy on AI large language models?, and 5) What are the …
Digital Equity In The Time Of Covid: Student Use Of Technology For Equitable Outcomes, Joy Washington, Andrea Woodard, Jonathan D. Becker, Joan A. Rhodes, Andrew Harris, Oscar Keyes, David B. Naff
Digital Equity In The Time Of Covid: Student Use Of Technology For Equitable Outcomes, Joy Washington, Andrea Woodard, Jonathan D. Becker, Joan A. Rhodes, Andrew Harris, Oscar Keyes, David B. Naff
MERC Publications
This issue brief is the third and final in a series published by the Metropolitan Educational Research Consortium (MERC) addressing digital equity in K-12 schools. It examines research regarding students’ use of and outcomes related to technology. Research finds that inequities exist in use and outcomes for students based on gender, language, ability, race, SES and other sociocultural factors. Based on these inequities, theoretical and practical recommendations are discussed.