A FRAMEWORK FOR STATISTICAL ANALYSIS OF STUDENT ENGAGEMENT IN OBE BASED CLASSROOMS ENVIRONMENT USING YOLO MODEL

A. S. khan — 2025-03-15

The most important aspect of effective learning in an Outcome-Based Education (OBE) classroom environment is student involvement and attentiveness during the lecture. This study examines various student behaviors and evaluates attention of students during lectures using deep learning techniques, YOLO v8. The classroom representative visuals were perceived from online available dataset containing student’s images that has been recorded during the lecture. These photos are subjected to YOLO, which classifies different student activities into those that contribute positively or negatively to attention in class room. Positive markers of attention include actions like raising hands, concentrating on the front, reading, writing, and interacting with the teacher. On the other hand, distractions like eating, drinking, using a phone, or seeming drowsy have a detrimental impact. The results assist teachers to enhance their teaching methodologies and offer insights into patterns of classroom involvement.

HAIR-BASED CONCRETE REINFORCEMENT: A NOVEL APPROACH TO SUSTAINABLE AND COST-EFFECTIVE PAVEMENT CONSTRUCTION

R. Soomro — 2025-03-15

The increasing demand for sustainable and cost-effective construction materials has led to innovative approaches in concrete reinforcement. This study investigates the impact of human hair fibre as a reinforcement material in concrete pavements, focusing on variations in mechanical properties such as compressive strength, flexural strength, skid resistance, and workability. Human hair, an abundant and biodegradable waste material, possesses high tensile strength comparable to that of copper wire of similar diameter. Its integration into concrete provides potential benefits in enhancing structural integrity while addressing environmental concerns associated with waste disposal. The research involved experimental testing of concrete specimens with different percentages of human hair fibre reinforcement, ranging from 0% to 3% by weight of cement. The findings indicate that the addition of hair fibres up to a certain threshold improves the flexural and compressive strength of concrete while enhancing skid resistance. However, excessive fibre content reduces workability and introduces challenges in uniform mixing. This study underscores the viability of human hair as an eco-friendly and cost-efficient reinforcement alternative in concrete pavement construction, contributing to sustainable engineering practices.

Pakistan Journal of Scientific Research

A FRAMEWORK FOR STATISTICAL ANALYSIS OF STUDENT ENGAGEMENT IN OBE BASED CLASSROOMS ENVIRONMENT USING YOLO MODEL

HAIR-BASED CONCRETE REINFORCEMENT: A NOVEL APPROACH TO SUSTAINABLE AND COST-EFFECTIVE PAVEMENT CONSTRUCTION