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Brandon J Yik

Biographic Data

ID9527137
NAMEBrandon J Yik
GIVEN NAMESBrandon J
FAMILY NAMEYik
SIGNATUREYIK B J
AFFILIATIONSUniversity of South Florida
ORCID0000-0001-8124-8451
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Adaptive, but Equitable? Exploring the Impact of Machine Learning‐Based Adaptive Support on Educational Debts in Undergraduate Chemistry

    Open Access•Paul P Martin, Marcus Kubsch et al.•ARTICLE•Science Education•2026

    Students' diverse levels of knowledge and competence—shaped by individual interests and educational debts, including structural, systemic, and institutional barriers—create substantial cognitive heterogeneity in instructional settings. Adequately addressing this heterogeneity is challenging. Emerging studies applying artificial intelligence (AI) in education claim that advanced AI techniques like machine learning (ML) can mitigate educational deb…

  • Examining whether and how instructional coordination occurs within introductory undergraduate STEM courses

    Open Access•Brian A Couch, Luanna B Prevost et al.•ARTICLE•Frontiers in Education•2023

    Instructors’ interactions can foster knowledge sharing around teaching and the use of research-based instructional strategies (RBIS). Coordinated teaching presents an impetus for instructors’ interactions and creates opportunities for instructional improvement but also potentially limits an instructor’s autonomy. In this study, we sought to characterize the extent of coordination present in introductory undergraduate courses and to understand how…

  • Association of malleable factors with adoption of research-based instructional strategies in introductory chemistry, mathematics, and physics

    Open Access•Brandon J Yik, Jeffrey R Raker et al.•ARTICLE•Frontiers in Education•2022

    Active learning pedagogies are shown to enhance the outcomes of students, particularly in disciplines known for high attrition rates. Despite the demonstrated benefits of active learning, didactic lecture continues to predominate in science, technology, engineering, and mathematics (STEM) courses. Change agents and professional development programs have historically placed emphasis on develop–disseminate efforts for the adoption of research-based…

No prominent works on this page.

  • Association of malleable factors with adoption of research-based instructional strategies in introductory chemistry, mathematics, and physics

    Open Access•Brandon J Yik, Jeffrey R Raker et al.•ARTICLE•Frontiers in Education•2022

    Active learning pedagogies are shown to enhance the outcomes of students, particularly in disciplines known for high attrition rates. Despite the demonstrated benefits of active learning, didactic lecture continues to predominate in science, technology, engineering, and mathematics (STEM) courses. Change agents and professional development programs have historically placed emphasis on develop–disseminate efforts for the adoption of research-based…

  • Examining whether and how instructional coordination occurs within introductory undergraduate STEM courses

    Open Access•Brian A Couch, Luanna B Prevost et al.•ARTICLE•Frontiers in Education•2023

    Instructors’ interactions can foster knowledge sharing around teaching and the use of research-based instructional strategies (RBIS). Coordinated teaching presents an impetus for instructors’ interactions and creates opportunities for instructional improvement but also potentially limits an instructor’s autonomy. In this study, we sought to characterize the extent of coordination present in introductory undergraduate courses and to understand how…

  • Adaptive, but Equitable? Exploring the Impact of Machine Learning‐Based Adaptive Support on Educational Debts in Undergraduate Chemistry

    Open Access•Paul P Martin, Marcus Kubsch et al.•ARTICLE•Science Education•2026

    Students' diverse levels of knowledge and competence—shaped by individual interests and educational debts, including structural, systemic, and institutional barriers—create substantial cognitive heterogeneity in instructional settings. Adequately addressing this heterogeneity is challenging. Emerging studies applying artificial intelligence (AI) in education claim that advanced AI techniques like machine learning (ML) can mitigate educational deb…

Computer Science (2 works) · Evaluation of Teaching Practices (2 works) · Innovative Teaching and Learning Methods (2 works) · Mathematics education (2 works) · Medicine (2 works) · Psychology (2 works) · Adaptive Learning (1 work) · Attrition (1 work) · Autonomy (1 work) · CLARITY (1 work)

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