Christopher M. Estepp Source Confirmed
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Associate Professor
University of Arkansas at Fayetteville
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Biography and Research Information
OverviewAI-generated summary
Christopher M. Estepp's research focuses on educational strategies and student learning, particularly within technology-enhanced environments. He has investigated the use of generative artificial intelligence, such as ChatGPT, with novice programmers, examining its effects on performance, interest, self-efficacy, and programming ability. Estepp has also explored the design of instruction for specific student populations, including novice agriculture students learning microcontrollers. His work has addressed teacher stress and coping mechanisms in response to changing educational landscapes like those during the COVID-19 pandemic. Additionally, Estepp has examined intercultural competence among undergraduate students in teaching methods courses and explored methods for determining professional development needs. He has published 43 papers, accumulating 257 citations and an h-index of 7. Estepp collaborates with several colleagues at the University of Arkansas at Fayetteville, including Donald Johnson and William Doss.
Metrics
- h-index: 7
- Publications: 43
- Citations: 257
Selected Publications
- Navigating Challenges: Uncovering FFA Agriscience Fair Professional Development Gaps for School-Based Agricultural Education Teachers (2026) DOI
- Cooperating Teacher Mentorship Behaviors and Job Satisfaction as Predictors of Agricultural Education Interns’ Intent to Teach (2025) DOI
- Unpacking research impact in agricultural education: Implications for role perception and career advancement (2025) DOI
- Does Sense of Belonging Predict Student Retention in a College of Agriculture? (2025) DOI
- Identifying Relationships and Differences Related to Arkansas FFA Chapter Performance in Career Development Events (2025) DOI
- A discrepancy in discrepancy scores? Comparing the Borich and Ranked Discrepancy Models for determining professional development needs (2024) DOI
- Agriculture students’ use of generative artificial intelligence for microcontroller programming (2024) DOI
- Using ChatGPT with Novice Arduino Programmers: Effects on Performance, Interest, Self-Efficacy, and Programming Ability (2024) DOI
- Determining professional development needs of school-based agricultural education teachers for working with English language learners (2023) DOI
- Using Intercultural Sensitivity to Predict Culturally Responsive Classroom Management Self-Efficacy among Preservice Teachers (2023) DOI
- Examining Sense of Belonging Among Freshmen College of Agriculture Students (2023) DOI
- Rapport, Course Technology, and Self-Regulated Learning as Predictors of Student Satisfaction in an Online Horticulture Program (2023) DOI
- Using Self-Efficacy Theory to Design Arduino Instruction for Novices: A Replication Study (2023) DOI
- Physicochemical Properties and Young Adult Consumer Preference of Dry-Aged Beef after High-Intensity Ultrasonication (2022) DOI
- Teachers’ Stress, Coping Strategies, and Job Satisfaction in COVID-induced Teaching Environments. (2021) DOI
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