MODERN METHODS FOR MEASURING THE SPECIFIC HEAT CAPACITY OF SOLID MATERIALS: IMPROVING ACCURACY AND STUDENT ENGAGEMENT

This research explores modern approaches to measuring the specific heat capacity of solid materials in physics education. Traditional methods, such as calorimetry, often suffer from human error and low accuracy. The study examines how infrared thermography (IRT), AI-assisted data analysis, and digital sensors improve the precision and efficiency of experimental procedures. The results indicate that these advanced tools significantly reduce errors, enhance real-time data processing, and increase student engagement. The study concludes that integrating artificial intelligence and non-contact measurement techniques in physics laboratories can greatly enhance learning outcomes.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-24
DOI
https://doi.org/10.5281/zenodo.15074204
Primary Topic
Electric Power Systems and Control
Type
article
Field-Weighted Citation Impact
0.00
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article

MODERN METHODS FOR MEASURING THE SPECIFIC HEAT CAPACITY OF SOLID MATERIALS: IMPROVING ACCURACY AND STUDENT ENGAGEMENT

Zenodo (CERN European Organization for Nuclear Research)
Electric Power Systems and Control
article

MODERN METHODS FOR MEASURING THE SPECIFIC HEAT CAPACITY OF SOLID MATERIALS: IMPROVING ACCURACY AND STUDENT ENGAGEMENT

article en

Abstract

This research explores modern approaches to measuring the specific heat capacity of solid materials in physics education. Traditional methods, such as calorimetry, often suffer from human error and low accuracy. The study examines how infrared thermography (IRT), AI-assisted data analysis, and digital sensors improve the precision and efficiency of experimental procedures. The results indicate that these advanced tools significantly reduce errors, enhance real-time data processing, and increase student engagement. The study concludes that integrating artificial intelligence and non-contact measurement techniques in physics laboratories can greatly enhance learning outcomes.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 56%
Electric Power Systems and Control
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