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John Foundation Journal of EduSpark

(A Quarterly Peer Reviewed/Refereed Multidisciplinary Journal)

Volume 6 Issue 3 July - September 2024

CHATGPT FOR HEALTHCARE PROFESSIONALS: ENHANCING CLINICAL DECISION-MAKING AND EFFICIENCY

*Meenakshi Kaushik, **Baqer Khudair Al-Hadrawi, & ***Manu Kaushik

*Professor, Trinity Institute of Innovations in Professional Studies, Guru Gobind Singh Indraprastha University, Dwarka, Delhi, India.

**Professor, Doctor of Business Administration, Al-Furat Al-Awsat Technical University, Kufa, Iraq.

***Student, PGDM, Indian Institute of Mass Communication, Delhi, India.

Abstract

The integration of artificial intelligence (AI) in healthcare has transformed the medical healthcare landscape via offering creative and innovative solutions enhancing patient care and operational efficiency. Among these advancements, ChatGPT has emerged as a promising assisting tool for healthcare professionals, enabling improved clinical decision-making, efficient patient communication, and streamlined administrative processes. This paper explores the multifaceted applications of ChatGPT in the healthcare sector, focusing on its role in diagnostics, treatment recommendations, patient education, and multilingual communication. This conceptual paper discusses the challenges associated with its implementation like data privacy and regulatory compliance.

Keywords

artificial intelligence, healthcare transformation, machine learning, disease prediction, patient care, AI chatbots, healthcare innovations.

Abstract
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BEHAVIOURAL PROBLEMS OF SECONDARY SCHOOL STUDENTS AS PERCEIVED BY THEIR TEACHERS

*Ashika, A. & **Veliappan, A.

*M.Ed. Student, Department of Education, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India.

 **Associate Professor, Department of Education, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India.

Abstract

A crucial time in teenage growth, the secondary school years are marked by profound changes in social, emotional, and physical aspects of life. Students encounter several difficulties throughout this time, such as peer relationships, teacher-student relationships, emotional regulation, and academic engagement, which can result in behavioural issues. Teachers are frequently the first to recognize and solve these problems in the learning environment since they have a significant influence on how students see their education. To effectively encourage positive behavioural changes and improve the atmosphere for learning, it is essential to know how teachers perceive the behaviour of their students. The measuring of secondary school students’ behavioural problems as reported by their teachers is the main emphasis of this study. The Thoothukudi District’s 105 teachers make up the sample. The random sample technique was adopted to select the sample of this study. A Scale on Behavioural Problems of Secondary School Students as Perceived by their Teachers was constructed, standardized, and used. The researcher investigated studies that addressed the crucial role that teachers’ views have in recognizing and solving the behavioural issues in secondary school students’ experiences.

Keywords

behavioural problems, secondary school students, teachers.

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FEATURE-ENHANCED CENTER NET FOR SMALL OBJECT DETECTION IN BIODEGRADABLE AND NON-BIODEGRADABLE AUTO SEGREGATION

*Ganesh, P. & **Haridas, K.

*Research Scholar, Department of Computer Science, Nallamuthu Gounder Mahalingam College, Pollachi, Tamil Nadu, India.

**Associate Professor & Head, Department of Computer Applications, Nallamuthu Gounder Mahalingam College, Pollachi, Tamil Nadu, India.

Abstract

Small object detection is a critical task in the context of biodegradable and non-biodegradable waste segregation, where accurate identification and classification can significantly enhance automated waste management systems. This paper presents a novel approach called Feature-Enhanced CenterNet, which integrates advanced feature extraction techniques to improve the detection performance of small objects in cluttered and complex waste environments. By leveraging a robust backbone network combined with feature pyramid networks (FPN) and attention mechanisms, our method enhances the spatial resolution and contextual information of small object features, leading to more precise detections. Extensive experiments on a custom waste segregation dataset demonstrate the superiority of our Feature-Enhanced CenterNet over traditional detection models, particularly in identifying small-sized waste items. The proposed model achieves state-of-the-art performance in terms of both accuracy and efficiency, making it highly suitable for real-time waste sorting applications. The integration of this approach into automated waste management systems promises to streamline the segregation process, reduce human intervention, and promote sustainable waste-handling practices.

Keywords

CenterNet, biodegradable, non-biodegradable, segregation, FPN.

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PERCEPTION OF UNDERGRADUATE ENGLISH STUDENTS ON PHONETICS

*Priya, C. & **Lenin, S.

*M.Ed. Student, Department of Education, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India.

**Assistant Professor, Department of Education, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India.

Abstract

Phonetics is essential for students to be fully capable of communicating in English, phonetics is essential.  Plenty of students struggle to acquire phonetics to a certain extent. Even though phonetics is difficult to acquire, it is essential to succeed in the acquisition of the English language. It is possible to lessen the dislike of phonetics by making some efforts.  The perception of phonetics among undergraduate English students is the main topic of this study. There are 200 students in the sample. The study’s sample was chosen using the random sampling technique. The CP’s Scale was developed as a tool for measuring phonetic perception. The investigator examined and talked about the number of issues and challenges that instructors and students encountered while teaching and acquiring phonetic skills. This study explores the Perception of Undergraduate English Students regarding Phonetics, examining their understanding, interest, and challenges related to the subject.  The study aims to provide insights into how students perceive phonetics, its relevance to their language learning journey, and potential areas for educational enhancement.

Keywords

phonetics, undergraduate students, perception, language learning, english education.

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A TOOL FOR MEASURING LOGICAL THINKING OF ADOLESCENTS

*Pooja, A. & **William Dharma Raja, B.

*M.Ed. Student, Department of Education, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India.

**Professor & Head, Department of Education, Manonmaniam Sundaranar University, Tirunelveli., Tamil Nadu, India.

Abstract

The Logical Thinking Scale measures an individual’s thinking abilities, focusing on deductive and inductive reasoning, pattern detection, and problem-solving. It assesses a person’s ability to analyze information, reach conclusions, and make informed judgments. This technique is used in education, psychology, and organizational contexts to test cognitive reasoning abilities. The authors developed logical thinking (2024), and the scale was operationalized based on five major dimensions of rational thinking. Four experts in education and mathematics established the validity of the scale’s content, and the pilot study was conducted among undergraduate arts and science students. The validity and reliability of the tool were established in addition to the internal consistency. The Spearman-Brown prophecy of the tool is 0.782. The tool thus developed to evaluate logical thinking is named PoWi’s test on Logical Thinking.

Keywords

logical thinking, reasoning, analogy, aptitude, riddles, blood relation.

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