Pythagorean Neutrosophic Normal Interval-Valued Fuzzy for Teaching Effectiveness  in University Physical Education: Metrics, Challenges, and Improvements

Yuanyuan Zhang; Huan Long; Lei Jing

Authors

Yuanyuan Zhang School of Physical Education, North China Institute of Science and Technology, Langfang, Hebei, 065201, China
Huan Long School of Physical Education, North China Institute of Science and Technology, Langfang, Hebei, 065201, China
Lei Jing School of Physical Education, North China Institute of Science and Technology, Langfang, Hebei, 065201, China

Keywords:

Pythagorean Neutrosophic Normal Interval-Valued Fuzzy; Teaching Effectiveness; University Physical Education.

Abstract

Through improving physical well-being, fostering collaboration, and establishing
lifetime fitness habits, university physical education (PE) plays a critical role in fostering holistic
student development. The pedagogical quality and effects on student involvement of physical
education instruction are being evaluated more in the changing educational landscape. With an
emphasis on instructional clarity, student engagement, skill development, assessment
techniques, inclusivity, and management tactics, this research explores important criteria for
assessing the efficacy of teaching in university-level physical education. To evaluate different
teaching styles and pinpoint performance gaps, an assessment framework is used. This study
uses the Pythagorean Neutrosophic Normal Interval-Valued Fuzzy to solve uncertainty
information. The study reveals notable disparities in student adaptation, technology integration,
and instructional delivery through both qualitative and quantitative analysis. The results seek to
bring physical education into line with contemporary academic standards by promoting data
driven decision-making and ongoing quality improvement in PE teaching.

DOI: 10.5281/zenodo.16499649