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Current Issue
Latest Issue (Vol.:6,Issue:1, January-March 2026)

Title: INVESTIGATING HOW CHATGPT CAN IMPROVE LEARNING OUTCOMES FOR IT STUDENTS, COMPARING TRADITIONAL STUDY METHODS WITH AI-ASSISTED LEARNING TOOLS
Author: April Thet Su and Hlaing Htake Khaung Tin*
Keyword: ChatGPT, IT students, Traditional study methods, AI-assisted, Learning Tools
Page No: 01-09
DOI: https://doi.org/10.5281/zenodo.17165029
Abstract: Abstract: This research examines the potential of ChatGPT as an AI-facilitated learning instrument for the purpose of improving learning outcomes among IT students and comparing it with conventional s tudy techniques. As artificial intelligence becomes more a part of learning, there is need to address how such resources can be used to enhance and facilitate the learning of students. We apply mixed methods using quantitative academic performance measures and qualitative student surveys measures to assess the impact of ChatGPT on key factors of learning including understanding, retention, and engagement. The findings show that the students utilizing ChatGPT possess much greater mastery of sophisticated IT concepts as well as increased levels of motivation compared to students who utilize traditional study methods. The present study achieves the pedagogically transformative potential of AI-based learning technologies in higher education. The research provides pedagogical implications for the way the AI should best be incorporated into the curriculum towards achieving the development of a more effective and interactive learning environment for IT students. Keywords: ChatGPT, IT students, Traditional study methods, AI-assisted, Learning Tools Download PDF


Title: A COMPARATIVE STUDY OF AI MODELS FOR SAW WELD QUALITY ASSESSMENT WITH AN IOT-BASED HYBRID MONITORING SYSTEM
Author: Mirza Farhatulla Baig* and Prof. Dharmendra Dubey
Keyword: Submerged Arc Welding, Statistical Modelling, Convolutional Neural Networks, Hybrid AI System, IoT Sensors
Page No: 10-19
DOI: https://doi.org/10.5281/zenodo.17181767
Abstract: In this paper we provide a direct comparison of weld quality assessment methods using statistical (engineering) modeling and deep learning. Deep learning was demonstrated using Convolutional Neural Ne tworks (CNNs) for Submerged Arc Welding (SAW) welding, using statistical modeling with additional engineered features pertaining to precision, counts of defects, area ratio, and the interpretation and modelling with fairly consistent performance classification metrics from weighing each feature as it related to weld quality. While CNNs had a visual experience of more complex defects, approached automated feature extraction, and object detection with fairly good results, the difficult pathway for us was to generalize; in essence construct a model that was fairly good but continued to generalize with all the historical datasets available. The hybrid AI model represented a statistical model with an automated CNN model; and offered a more accurate, robust, and flexible model fit as it could account for some of the dynamic nature of an industrial context. The use of IoT based sensing helped facilitate being dynamic regarding assessment and predictive maintenance. Collectively our hybrid presents a foundation for smart, autonomous systems for weld inspection acknowledging Industry 4.0 standards.Download PDF


Title: LEUKORRHEA: PHARMACO-ECONOMICAL AND HERBAL PERSPECTIVES
Author: Aakanksha Gautam, Shradha, Deepak Prashar*
Keyword: Leukorrhea, Herbal, Economical, Pharmaceutical, Treatment
Page No: 20-26
DOI: https://doi.org/10.5281/zenodo.17643152
Abstract: : Leukorrhea is a symptom rather than a disease. Both subjectively and objectively, it signifies an underlying disorder, which may be either functional or organic. While this symptom can result from a range of constitutional or systemic conditions, it typically originates from some lesion affecting the reproductive organs. The symptom can manifest at any age, including infancy, childhood, the childbearing years, the menopausal stage, and during senescence. This review article emphasizes the herbal treatment and management of the perspectives related to the ailment. Additionally, it takes into account the economic factors associated with the available medications to enhance patient compliance.Download PDF


Title: HERBAL HAIR OIL: AN INSIGHT INTO PHARMACO-ECONOMICS
Author: Sakshi, Sarika, Nishta Chauhan, Deepak Prashar*, Vijay Prakash
Keyword: Hair oil, Economical, Hair growth, Availability, Nourishment
Page No: 27-32
DOI: https://doi.org/10.5281/zenodo.17765873
Abstract: Hair oil is regarded as one of the key stimulants for promoting the growth and nourishment of scalp hair. Choosing the right hair oil for optimal results is essential. Currently, the market is saturat ed with a vast array of hair oils, each making various claims. Nevertheless, it is challenging to concentrate on single hair oil, considering the significance of hair in shaping social values. However, certain parameters such as benefits, availability, and cost-effectiveness are taken into account when selecting hair oil. This review focuses on the availability and Pharmacoeconomical aspects of hair oils.Download PDF


Title: FROM ACCESSIBILITY TO SUSTAINABILITY: THE ROLE OF ONLINE AND DISTANCE LEARNING IN NEPALI HIGHER EDUCATION FOR SUSTAINABLE DEVELOPMENT
Author: Umesh Dhungel
Keyword: Accessibility, Sustainability, Online Learning, Higher Education, Nepal, Sustainable Development, Digital Inclusion
Page No: 33-40
DOI: https://doi.org/10.5281/zenodo.18234194
Abstract: The landscape of higher education in Nepal is undergoing a profound transformation, evolving from a focus on accessibility to a vision of sustainability. Online and distance learning have emerged as p ivotal tools in this transition, expanding educational opportunities while fostering environmentally responsible and institutionally resilient systems. This study explores how digital platforms, virtual classrooms, and open educational resources (OERs) contribute to inclusive access, equitable participation, and the broader sustainability goals outlined in the United Nations Sustainable Development Goal 4 (Quality Education). Drawing on national data, institutional policies, and thematic analysis, the research examines how Nepali universities are integrating technology to enhance learning quality, reduce geographical barriers, and promote sustainable practices. Despite significant progress, persistent challenges, such as digital inequality, limited infrastructure, and policy gaps, continue to constrain the full potential of technology-driven education. The paper concludes by advocating a holistic and context-sensitive approach where accessibility forms the foundation and sustainability defines the future of higher education in Nepal. Keywords: Accessibility, Sustainability, Online Learning, Higher Education, Nepal, Sustainable Development, Digital Inclusion Download PDF


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