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Browsing Department of Curriculum and Teaching by Issue Date

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Cultivating Agricultural Literacy: A Qualitative Exploration of Instructional Practices and Teacher Perspectives in Agricultural Education 

Clemons, Christopher; McKibben, Jason; Hancock, Clare; Lindner, James; Ford, Jillian; 0000-0001-9879-0888 (2024-08-05)
Auburn University researchers explored how agricultural education teachers in Alabama equip students with the knowledge and vocabulary needed to navigate the world of agriculture. Researchers investigated teachers' ...

Approaches Towards Revising Instrumentation-Based Reliability Coefficients 

Clemons, Christopher; Lindner, James; 0000-0001-9879-0888; 0000-0002-1448-3846 (2025-03-06)
This study addresses negative Cronbach's alpha reliability coefficients observed in two constructs of a newly developed questionnaire assessing agricultural educators' adoption of artificial intelligence. A field test with ...

Resources and Approaches for Integrating High- Leverage Teaching Practices: A Content Analysis 

Ahnell, Sara; 0000-0002-3159-7298 (2025-04-03)
Implementing high-leverage teaching practices (HLTPs) for language learning can help ensure teachers create and deliver a high-quality curriculum, especially when working with Novice learners who require more scaffolded ...

Survey Instrumentation Using Intercept Methods 

McKibben, Jason; Lindner, James; https://orcid.org/0000-0003-2080-202X; https://orcid.org/0000-0002-1448-3846 (2025-03-27)
Agricultural mechanics instruction is crucial for preparing students for agricultural careers, emphasizing safety practices with potentially hazardous equipment. While overall safety culture in agricultural education has ...

Analysis of Reliability Coefficients In Electronic Survey Distribution Programs 

Clemons, Christopher; Lindner, James; https://orcid.org/0000-0002-1448-3846; https://orcid.org/0000-0001-9879-0888 (2025-03-25)
This study investigated the reliability coefficients of an electronic survey instrument, distributed via Qualtrics, designed to assess agriculturalists' perceptions of artificial intelligence in secondary agricultural ...