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LaFlamme, Laura – ProQuest LLC, 2023
There is a significant need for young people to advance their education and prepare for science, engineering, math, and technology careers in agriculture. The Supervised Agriculture Experience (SAE) is a requirement of all high school students enrolled in agriculture education courses in Connecticut. SAE bridges the knowledge and skills developed…
Descriptors: Teacher Participation, Communities of Practice, Relevance (Education), Supervision
Nazzaro, Valerie; Rose, Jennifer; Dierker, Lisa – Statistics Education Research Journal, 2020
A central challenge of introductory statistics is the development of curricula that not only serve diverse students, but also leave them wanting more. To evaluate the potential impact of a multidisciplinary, project-based introductory statistics course, students' future course decisions were compared against traditional statistics courses using…
Descriptors: Enrollment Influences, Undergraduate Students, Student Characteristics, Student Interests
Kreamer, Kate Blosveren; Zimmermann, Andrea – National Association of State Directors of Career Technical Education Consortium, 2015
Competency-based pathways (CBP) have the potential to open new opportunities for students to learn and demonstrate their learning in meaningful ways that are grounded in application and relevant to their career goals. This brief argues that states can and should leverage CTE when considering how to move K-12 education toward a system marked by…
Descriptors: Vocational Education, Active Learning, Student Projects, Performance Based Assessment
State Educational Technology Directors Association, 2012
The State Educational Technology Directors Association (SETDA) published a series of case studies from 28 states to showcase examples of how ARRA EETT ("American Recovery and Reinvestment Act of 2009 Enhancing Education Through Technology") grant funds have impacted teaching and learning. SETDA collected data for the case studies through…
Descriptors: Case Studies, School Districts, Grants, Federal Programs
Russell, Ingrid; Markov, Zdravko; Neller, Todd; Coleman, Susan – ACM Transactions on Computing Education, 2010
Our approach to teaching introductory artificial intelligence (AI) unifies its diverse core topics through a theme of machine learning, and emphasizes how AI relates more broadly with computer science. Our work, funded by a grant from the National Science Foundation, involves the development, implementation, and testing of a suite of projects that…
Descriptors: Artificial Intelligence, Program Effectiveness, Computer Science, Teaching Methods

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