Christopher M. Estepp Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Associate Professor

Last publication 2026 Last refreshed 2026-05-16

faculty

7 h-index 44 pubs 268 cited

Biography and Research Information

OverviewAI-generated summary

Christopher M. Estepp's research investigates the integration of technology and pedagogical approaches within educational settings, with a particular focus on novice learners and specific student populations such as agriculture students. His work has explored the use of artificial intelligence tools, like ChatGPT, to enhance programming abilities, self-efficacy, and interest among students learning microcontroller programming with Arduino.

Estepp also examines factors influencing educators, including stress, coping strategies, and job satisfaction, particularly in response to challenging teaching environments like those induced by the COVID-19 pandemic. His research extends to understanding student experiences related to intercultural competence and perceptions of diversity and inclusion within academic communities. He has published 43 works, accumulating 260 citations, and holds an h-index of 7. Estepp collaborates with several researchers at the University of Arkansas at Fayetteville, including Donald Johnson and William Doss.

Metrics

  • h-index: 7
  • Publications: 44
  • Citations: 268

Selected Publications

  • Navigating Challenges: Uncovering FFA Agriscience Fair Professional Development Gaps for School-Based Agricultural Education Teachers (2026)
    1 citation DOI OpenAlex
  • Cooperating Teacher Mentorship Behaviors and Job Satisfaction as Predictors of Agricultural Education Interns’ Intent to Teach (2025)
    1 citation DOI OpenAlex
  • Unpacking research impact in agricultural education: Implications for role perception and career advancement (2025)
  • Does Sense of Belonging Predict Student Retention in a College of Agriculture? (2025)
  • Identifying Relationships and Differences Related to Arkansas FFA Chapter Performance in Career Development Events (2025)
  • A discrepancy in discrepancy scores? Comparing the Borich and Ranked Discrepancy Models for determining professional development needs (2024)
    6 citations DOI OpenAlex
  • Agriculture students’ use of generative artificial intelligence for microcontroller programming (2024)
    7 citations DOI OpenAlex
  • Using ChatGPT with Novice Arduino Programmers: Effects on Performance, Interest, Self-Efficacy, and Programming Ability (2024)
    18 citations DOI OpenAlex
  • Determining professional development needs of school-based agricultural education teachers for working with English language learners (2023)
    5 citations DOI OpenAlex
  • Using Intercultural Sensitivity to Predict Culturally Responsive Classroom Management Self-Efficacy among Preservice Teachers (2023)
    3 citations DOI OpenAlex
  • Examining Sense of Belonging Among Freshmen College of Agriculture Students (2023)
    2 citations DOI OpenAlex
  • Rapport, Course Technology, and Self-Regulated Learning as Predictors of Student Satisfaction in an Online Horticulture Program (2023)
    2 citations DOI OpenAlex
  • Using Self-Efficacy Theory to Design Arduino Instruction for Novices: A Replication Study (2023)
    5 citations DOI OpenAlex
  • Physicochemical Properties and Young Adult Consumer Preference of Dry-Aged Beef after High-Intensity Ultrasonication (2022)
    2 citations DOI OpenAlex
  • Teachers’ Stress, Coping Strategies, and Job Satisfaction in COVID-induced Teaching Environments. (2021)
    7 citations DOI OpenAlex

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Collaboration Network

34 Collaborators 10 Institutions 3 Countries

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