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IJHCS
Published by Research Parks Publishing
ISSN : 26151898     EISSN : 26158159     DOI : https://doi.org/10.31149/ijhcs.v7i1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Neuroscience
The International Journal of Human Computing Studies (IJHCS) publishes original research over the whole spectrum of work relevant to the theory and practice of modern interactive systems of the contemporary world. IJHCS accepts papers in forms of original research articles, review articles, book reviews, case reports, and discussions to answer important and interesting questions of the innovative research points.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 5 Documents
 1 
Search results for , issue "Vol. 7 No. 2 (2025): International Journal of Human Computing Studies (IJHCS)" : 5 Documents clear
University Students' Perception and Use of Chatgpt: Generative Artificial Intelligence (AI) in Higher Education Obenza, Brandon Nacua; Salvahan, Alexa; Rios, Alexandra Nicole; Solo, Althea; Alburo, Rea Ashlee; Gabila, Rey Jose
International Journal on Human-Computing Studies Vol. 7 No. 2 (2025): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

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Abstract

This quantitative study examined how university students perceive and use generative AI technology, specifically ChatGPT, in higher education. The main objective is to explore and describe university students' perception and use of generative AI, particularly ChatGPT, in the context of higher education. A 5-point Likert scale questionnaire was adopted and used in the study. Five hundred students from various universities in Region XI were surveyed using a stratified random sampling technique. Further, the validity and reliability of the scale used in the study were assessed using Cronbach's Alpha and Factor Analysis and demonstrated acceptable construct validity and reliability indices. The findings revealed that university students demonstrated high levels of understanding, knowledge, perception of the advantages and disadvantages, positive attitude, and strong intention to use generative AI technologies in the context of higher education. Moreover, the respondents showed a moderate level of concern about generative AI.
Creation of Particular Learning Methods for Blind Children Muzaffar kizi , Rakhmonnazarova Feruzakhon
International Journal on Human-Computing Studies Vol. 7 No. 2 (2025): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

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Abstract

The aim of the research is to discuss the process of creating teaching methods for visually impaired children, emphasizing the benefits of individualised instruction, accessible materials, and the integration of assistive technologies. By utilising these techniques, education can ensure equal opportunity for blind children to thrive socially and academically. In order to overcome some obstacles in education needs of children with visual impairments, it is essential to implement some methodologies like Braille which has always been the oldest and commonly used, audio books, tactile graphics. The results of using the Braille method, tactile learning, and auditory learning for blind children are generally positive and have been shown to contribute significant results to their overall development and foster their academic success, social development which lead to their future employment.
A Comparative Analysis of American and Uzbek National Wedding Ceremonies Rahmonnazarova, Feruzaxon
International Journal on Human-Computing Studies Vol. 7 No. 2 (2025): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

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Abstract

Wedding ceremonies hold a significant place in the cultural traditions of societies around the world. This article provides an in-depth comparative analysis of the traditional wedding ceremonies in America and Uzbekistan, focusing on the differences and similarities in rituals, customs, and symbolic elements. By examining these two distinct cultural practices, we aim to shed light on the diverse ways in which marriage is celebrated and honored, and how these celebrations reflect the values and beliefs of each society.
Developing Professional Competences of Students Through Interactive Training Systems Khaydarov, Orifjon
International Journal on Human-Computing Studies Vol. 7 No. 2 (2025): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

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Abstract

This study investigates the effectiveness of interactive training systems in developing professional competences among university students. Through a mixed-methods approach involving 245 participants across different disciplines, we analyzed how various interactive learning technologies impact skill acquisition, professional identity formation, and workplace readiness. Results demonstrate significant improvements in technical proficiency, problem-solving abilities, and soft skills among students exposed to comprehensive interactive training programs. The findings suggest that strategic implementation of interactive systems, when aligned with industry requirements and pedagogical best practices, substantially enhances students' professional development and employability prospects
Artificial Intelligence in Stem Programs to Develop Human Capital Hernández, Sonia Benito; Shahy, Rouhollah Iran
International Journal on Human-Computing Studies Vol. 7 No. 2 (2025): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v7i2.5488

Abstract

This study analyzes the use of artificial intelligence (AI) tools by students at the Technical University of Madrid (Spain) in science and engineering disciplines, based on a survey of 94 participants. The objective was to identify usage patterns and their relationships with variables such as academic performance, perceived learning, ethics, trust, knowledge, and recommendation. Descriptive statistics and association tests (e.g., chi-square, the Phi, and Cramér’s V) were used to assess the strength of the relationships between categorical variables. The results show that most students have used AI tools for academic purposes and report a positive perception in terms of learning and knowledge. Significant associations were found between AI use and learning-related variables, while others like academic performance and trust did not show statistical significance. Minor gender-based differences were observed, but not statistically significant. These findings suggest a growing normalization of AI use in technical education, where perceptions of usefulness and ethics outweigh the impact on academic performance. The implications are discussed within the framework of designing pedagogical strategies for the responsible integration of AI in higher education.

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