Papers by Dr Gulnaz Fatma
2024 International Conference on Electrical, Computer and Energy Technologies (ICECET, 2024
Cognitive Decision Management in healthcare data management refers to the integration of artifici... more Cognitive Decision Management in healthcare data management refers to the integration of artificial intelligence, machine learning, and cognitive computing to enhance decision-making processes. Secure data sharing is crucial in Cognitive Decision Management for healthcare as it enables seamless collaboration among stakeholders while ensuring the confidentiality, integrity, and availability of sensitive health data. This practice is essential for delivering timely and accurate insights, facilitating collaborative care, and maintaining patient privacy. Traditional approaches for secure data sharing in Cognitive Decision Management include role-based access control, encryption, and Virtual Private Networks (VPNs). Traditional approaches often face limitations such as complex key management, potential vulnerabilities in encryption algorithms, and scalability challenges in managing access controls. To overcome these limitations, this study introduces a novel approach leveraging blockchain technology. The proposed system incorporates Ethereum blockchain 2.0 for scalable and efficient healthcare data management, along with Elliptic Curve Cryptography for secure transaction verification. Blockchain ensures transparency, immutability, and decentralized control, addressing the drawbacks of traditional methods and providing a robust foundation for secure data sharing in Cognitive Decision Management within healthcare settings. Results of this study was implemented in Python tool. The throughput ranged from 450 to 520 transactions per second, showcasing system stability.
2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS), 2024
The landscape of higher education is evolving rapidly, and as we stand on the brink of a new era,... more The landscape of higher education is evolving rapidly, and as we stand on the brink of a new era, the integration of machine learning (ML) emerges as a transformative force. This paper delves into the future of teaching, exploring the profound impact of incorporating ML technologies into higher education. Traditional teaching methodologies face challenges in adapting to the dynamic needs of modern learners, making it imperative to explore innovative solutions. Our research delves into existing literature, shedding light on the diverse applications of ML in educational settings. With a focus on addressing current educational challenges, we propose a comprehensive framework that leverages ML algorithms to enhance the teaching and learning experience. The methodology section outlines our research approach, encompassing data collection methods and analytical techniques. The implementation model introduces a conceptual framework, detailing the integration of ML components to optimize educational processes. Results of our study demonstrate the tangible benefits of our proposed model, supported by quantitative and qualitative analyses. The conclusion synthesizes our findings, emphasizing the significance of ML integration in shaping the future of higher education. While acknowledging limitations, this paper provides a roadmap for future research in this transformative domain. As institutions navigate the evolving landscape of education, the integration of ML stands as a promising avenue to cultivate enriched learning environments and foster a generation of adaptive, tech-savvy scholars.
2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), 2024
In a time where interactive technology and digital innovations rule the roost, educators are alwa... more In a time where interactive technology and digital innovations rule the roost, educators are always looking for new and creative ways to get students interested in learning and improve language acquisition. This study investigates how gamification techniques and augmented reality (AR) could be combined to transform English language instruction and create a captivating learning environment. With the growing ubiquity of digital technology, language learners may overcome obstacles and improve their English language skills by utilizing gamification and augmented reality. By establishing an interactive environment where students may interact with virtual components that are completely integrated into the actual world, the study explores the effects of augmented reality on language acquisition. Through the use of gamification concepts, including goal-setting, competition, and prizes, the study seeks to inspire students and cultivate a positive mindset toward language learning. Augmented reality and gamification work together to provide a personalized, dynamic learning environment that accommodates a range of learning preferences and styles. The study technique includes creating and deploying an augmented reality (AR) language learning application, then thoroughly evaluating its efficacy. Data, both quantitative and qualitative, will be collected to assess how language proficiency, user involvement, and general satisfaction have improved. The results are intended to provide insightful information on the effectiveness of this novel methodology, with implications for teachers, curriculum developers, and curriculum designers who want to improve language learning techniques. In the end, our research aims to close the gap that exists between conventional language learning techniques and the digital age, laying the groundwork for language education's future by fusing cutting-edge tools with successful teaching techniques.
Routledge eBooks, Apr 25, 2024
Routledge eBooks, Apr 25, 2024
The deep learning technique for evaluating proficiency of verbal language is the subject of this ... more The deep learning technique for evaluating proficiency of verbal language is the subject of this research. Instead of read language, suggestions or inquiries that call for expressive language answers elicit more speech patterns, which more accurately represents a learner's competence level. Any automated process must manage disfluent, non-grammatical, verbal interactions with no understanding of the fundamental content, in as well as deal with extremely variable non-native, learner, and noisy real-world monitoring settings. A powerful deep learning-based speech recognition algorithm and a Gaussian Process (GP) grader are used in conjunction to handle these. The effectiveness of a variety of features extracted from the audio that use the recognition assumption is examined. On actual candidate inputs, it is demonstrated that the suggested approach can forecast grades at a level comparable to the original examination graders. Efficiency is further enhanced by interpolation with the exam ratings.
Routledge eBooks, Apr 25, 2024
Theory and practice in language studies, Mar 29, 2024
The study aims to investigate English language anxiety among Mewat female ESL learners and the ca... more The study aims to investigate English language anxiety among Mewat female ESL learners and the causes and sources of anxiety. It also seeks to investigate if the differences in their demographic profiles shape their anxiety levels differently. As the study deals with how certain independent variables (e.g. level/year of study, parents' educational level, and their employment profile) shape the dependent variable (English language anxiety), a descriptive quantitative approach was adopted, and the Foreign Language Classroom Anxiety Scale developed by Horwitz et al. (1986) was utilized to collect the data from respondents. 214 study participants were selected through a simple random sampling method from the population of undergraduate ESL learners studying at different levels of the graduate program at Government Women's College, Nuh, Mewat, Haryana, India. The findings revealed that the study respondents experience moderate levels of anxiety. However, their anxiety levels differ concerning different aspects/sources of anxiety. Communicative anxiety is the highest followed by classroom anxiety, test anxiety, and fear of negative evaluation respectively. One-way ANOVA analysis revealed statistically significant differences in the means of the responses of study participants based on level/year of study and parents' educational level. However, no difference of any statistical significance was found in the means of the response of the respondents based on their parents' professional profiles. The study findings would be useful in addressing anxiety, understanding its causes and consequences, and uncovering ways to help students overcome anxiety and learn English properly. Index Terms-causes and sources of anxiety, English language anxiety, Mewat ESL learners, moderate level of anxiety, parents' professional profile  Corresponding Author
International journal on recent and innovation trends in computing and communication, Nov 30, 2023
This article's objective is to investigate a variety of effective classroom management st... more This article's objective is to investigate a variety of effective classroom management strategies that can be executed in the context of English instruction. Setting clear expectations, cultivating positive relationships, employing positive reinforcement, implementing consistent discipline, practising effective time management, employing a variety of teaching methods, making wise use of technology, organizing classroom seating arrangement, ensuring clear communication, incorporating student's voice, addressing issues promptly, and reflecting and adjusting are some of the techniques that are included in the techniques. English teachers can cultivate a constructive and fruitful learning environment for their pupils by learning about and putting into practice the aforementioned strategies.
Vol. 14 No. 3 (2024), 2024
The study aims to investigate English language anxiety among Mewat female ESL learners and the ca... more The study aims to investigate English language anxiety among Mewat female ESL learners and the causes and sources of anxiety. It also seeks to investigate if the differences in their demographic profiles shape their anxiety levels differently. As the study deals with how certain independent variables (e.g. level/year of study, parents’ educational level, and their employment profile) shape the dependent variable (English language anxiety), a descriptive quantitative approach was adopted, and the Foreign Language Classroom Anxiety Scale developed by Horwitz et al. (1986) was utilized to collect the data from respondents. 214 study participants were selected through a simple random sampling method from the population of undergraduate ESL learners studying at different levels of the graduate program at Government Women’s College, Nuh, Mewat, Haryana, India. The findings revealed that the study respondents experience moderate levels of anxiety. However, their anxiety levels differ concerning different aspects/sources of anxiety. Communicative anxiety is the highest followed by classroom anxiety, test anxiety, and fear of negative evaluation respectively. One-way ANOVA analysis revealed statistically significant differences in the means of the responses of study participants based on level/year of study and parents' educational level. However, no difference of any statistical significance was found in the means of the response of the respondents based on their parents' professional profiles. The study findings would be useful in addressing anxiety, understanding its causes and consequences, and uncovering ways to help students overcome anxiety and learn English properly.
International Journal on Recent and Innovation Trends in Computing and Communication, 2024
This article's objective is to investigate a variety of effective classroom management strategies... more This article's objective is to investigate a variety of effective classroom management strategies that can be executed in the context of English instruction. Setting clear expectations, cultivating positive relationships, employing positive reinforcement, implementing consistent discipline, practising effective time management, employing a variety of teaching methods, making wise use of technology, organizing classroom seating arrangement, ensuring clear communication, incorporating student's voice, addressing issues promptly, and reflecting and adjusting are some of the techniques that are included in the techniques. English teachers can cultivate a constructive and fruitful learning environment for their pupils by learning about and putting into practice the aforementioned strategies.
The deep learning technique for evaluating proficiency of verbal language is the subject of this ... more The deep learning technique for evaluating proficiency of verbal language is the subject of this research. Instead of read language, suggestions or inquiries that call for expressive language answers elicit more speech patterns, which more accurately represents a learner's competence level. Any automated process must manage disfluent, non-grammatical, verbal interactions with no understanding of the fundamental content, in as well as deal with extremely variable non-native, learner, and noisy real-world monitoring settings. A powerful deep learning-based speech recognition algorithm and a Gaussian Process (GP) grader are used in conjunction to handle these. The effectiveness of a variety of features extracted from the audio that use the recognition assumption is examined. On actual candidate inputs, it is demonstrated that the suggested approach can forecast grades at a level comparable to the original examination graders. Efficiency is further enhanced by interpolation with the exam ratings.
English is considered as one of the significant global business dialects. Different
innovations h... more English is considered as one of the significant global business dialects. Different
innovations have come up to further develop the language learning process around here. The
whole scholastic world and the business world are decidedly moving toward the innovative
obstruction in business relational abilities. The new ordinary circumstance is giving numerous
chances to get familiar with the language, particularly English for non-local speakers, through
one of the vivid platforms, which is Virtual Rea1lity. In request to stay cutthroat in business
world, endeavoring people need to ad lib familiarity and capability. Students, in this situation,
can profit from thinking about business explicit English. The paper dissects how Virtual reality
(VR) empowers the students practice business related situations through common sense
methodology. It likewise manages such circumstances where the students can exploit their
profession potential. A review directed utilizing blended approach demonstrates how the
augmented experience apparatuses are appropriate to further develop relational abilities in
English. It clarifies how different applications connected with VR can make the interest and
energy in learners' mind and different apparatuses utilized for upgrading Business English.
Keywords: Virtual Reality, Business English. Language learning, techniques, Vocabulary
Enhancement
Measurement: Sensors
Text classification technique is advancing rapidly alongside AI technology, showing signs of matu... more Text classification technique is advancing rapidly alongside AI technology, showing signs of maturity. Moreover, there are always many unrestricted constraints that text classification must deal with in practical settings. English text is indeed a significant component of textual data and a significant source of data for persons seeking data from other countries. This study enhances the text classification method currently in use using text classification depending upon English quality. By using an illustration of English quality-related text classification systems, the concept as well as execution of text classification systems is demonstrated, concluding the study on text classification algorithms. The main task of this article is to categorize, and analyze huge volumes of information in English text using technique of integrating qualitative. Therefore, the fundamental components of superior English compositions are attained using Lion Optimization Algorithm (LOA). Convolutional Neural Network-Long Short Term Memory (CNN-LSTM) is utilized to classify the obtained texts. If there is a lot of training input, the typical English text classification method can easily display flaws like ambiguous characteristic elements. In light of such issues, the research suggests a quality-related English text classification approach based on convolutional neural network in order to enhance the precision and adaptability of English text classification.
International Journal of Scientific Research in Science and Technology, 2023
Possessing a strong command of the English language is one of the fundamental requirements. There... more Possessing a strong command of the English language is one of the fundamental requirements. There is English-language access to all of the content, both technical and non-technical. Learners of the English language and teachers of the language encounter a great deal of difficulty in both the learning and teaching of the language. The field of Neuro Linguistic Programming investigates the workings of the brain and how it processes various linguistic capabilities. It is concerned with the way the brain operates, and consequently, how the brain must be taught in order to get the desired results. The learner can develop their abilities like as listening, speaking, reading, and writing with the help of this. This is an effort to concentrate on bettering the process of teaching and learning languages through the utilisation of a novel method known as neuro-linguistic programming.
Text classification technique is advancing rapidly alongside AI technology, showing signs of matu... more Text classification technique is advancing rapidly alongside AI technology, showing signs of maturity. Moreover, there are always many unrestricted constraints that text classification must deal with in practical settings. English text is indeed a significant component of textual data and a significant source of data for persons seeking data from other countries. This study enhances the text classification method currently in use using text classification depending upon English quality. By using an illustration of English quality-related text classification systems, the concept as well as execution of text classification systems is demonstrated, concluding the study on text classification algorithms. The main task of this article is to categorize, and analyze huge volumes of information in English text using technique of integrating qualitative. Therefore, the fundamental components of superior English compositions are attained using Lion Optimization Algorithm (LOA). Convolutional Neural Network-Long Short Term Memory (CNN-LSTM) is utilized to classify the obtained texts. If there is a lot of training input, the typical English text classification method can easily display flaws like ambiguous characteristic elements. In light of such issues, the research suggests a quality-related English text classification approach based on convolutional neural network in order to enhance the precision and adaptability of English text classification.
European Chemical Bulletin (ISSN 2063-5346) , 2023
Introduction: For the development of the study relates to the Discussion on the Role of Video Gam... more Introduction: For the development of the study relates to the Discussion on the Role of Video Games in Childhood Studying the study aims to analyse and discuss the role of video games in the education of children. Additionally, the background and rationality of the study are discussed with research questions and objectives. Literature Review: Past literature was examined that helps to find contradicting opinions of the past researchers. This contributed to the development of an empirical study. Methodology: To discover significant insights from the collected primary data, a quantitative analysis of the data was provided and examined.
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Papers by Dr Gulnaz Fatma
innovations have come up to further develop the language learning process around here. The
whole scholastic world and the business world are decidedly moving toward the innovative
obstruction in business relational abilities. The new ordinary circumstance is giving numerous
chances to get familiar with the language, particularly English for non-local speakers, through
one of the vivid platforms, which is Virtual Rea1lity. In request to stay cutthroat in business
world, endeavoring people need to ad lib familiarity and capability. Students, in this situation,
can profit from thinking about business explicit English. The paper dissects how Virtual reality
(VR) empowers the students practice business related situations through common sense
methodology. It likewise manages such circumstances where the students can exploit their
profession potential. A review directed utilizing blended approach demonstrates how the
augmented experience apparatuses are appropriate to further develop relational abilities in
English. It clarifies how different applications connected with VR can make the interest and
energy in learners' mind and different apparatuses utilized for upgrading Business English.
Keywords: Virtual Reality, Business English. Language learning, techniques, Vocabulary
Enhancement
innovations have come up to further develop the language learning process around here. The
whole scholastic world and the business world are decidedly moving toward the innovative
obstruction in business relational abilities. The new ordinary circumstance is giving numerous
chances to get familiar with the language, particularly English for non-local speakers, through
one of the vivid platforms, which is Virtual Rea1lity. In request to stay cutthroat in business
world, endeavoring people need to ad lib familiarity and capability. Students, in this situation,
can profit from thinking about business explicit English. The paper dissects how Virtual reality
(VR) empowers the students practice business related situations through common sense
methodology. It likewise manages such circumstances where the students can exploit their
profession potential. A review directed utilizing blended approach demonstrates how the
augmented experience apparatuses are appropriate to further develop relational abilities in
English. It clarifies how different applications connected with VR can make the interest and
energy in learners' mind and different apparatuses utilized for upgrading Business English.
Keywords: Virtual Reality, Business English. Language learning, techniques, Vocabulary
Enhancement
These biographical details interested me the most since I had only read a couple of Bond’s stories previously. I found, however, that Bond and I are kindred spirits. In the unhappiness of his childhood—his mother left his father to marry another man, and then his father died, so Bond he went to live with his mother and stepfather—he found his solace in books until reading became his religion. When he read Dickens’ David Copperfield, he decided he wanted to be an author. (That book had a great influence on me as well in my desire to be an author.) He also became a lover of nature because of his father’s influence, until he preferred spending time in nature rather than with people, and he even saw trees as his friends. Like Bond, who is known as “India’s Wordsworth” for his love of nature, I had a very Wordsworthian childhood so I could identify with many aspects of his childhood and his depictions of children in nature.
Bond has never married but he has known what it is to love and he has been like a grandfather to friends’ children. In fact, he has become India’s great writer of children’s stories, both from a desire to please children and as a way to cope with difficult times in his life and recapture the happy moments of his own childhood. Fatma quotes him as saying, “I don’t suppose I’d have written so much about children or even other children if my own childhood had been all happiness and light. I find that those who have contented, normal childhoods, seldom remember much about them; nor do they have much insight into the world of childhood.”
Reading Ruskin Bond’s World made me want to read all of Bond’s books and have the enhanced, rich experience of exploring for myself all the themes of nature, animals, children, and unrequited love in his work, all themes that Fatma analyzes in great detail through his various novels and stories. Fatma also has had the opportunity to meet and interview Bond, and one of the bonuses of this book is the inclusion of one of these interviews. So not only does she trace his themes, showing us how each theme is similar or different in each work, but she is also able to share Bond’s own explanations for why he writes about many of these themes.
Anyone who is already familiar with Ruskin Bond’s work will appreciate reading this book and expanding his or her understanding of this major author’s work. Anyone who is not a reader of Bond will want to be after reading this book. I also think the book would be an excellent companion piece for any course in the short story or specifically a course in Indian literature. Fatma is also the author of A Short History of the Short Story: Western and Asian Traditions, which traces the short story’s development and its various forms. Ruskin Bond’s World is like an expansion on her brief discussion of Bond’s short stories in that book; it also lends itself to helping students with more detailed analyses of themes within his stories, and it could lead to discussions about similar themes in other works of literature. Also included in this book is a valuable in-depth bibliography of all of Ruskin Bond’s novels, story collections, and other works of criticism on him.
Overall, Ruskin Bond’s World is well worth reading, and I hope in time it will be a building block for greater interest in this wonderful writer, including more full-length treatments of his work and a complete biography.
Many famous writers, such as H.G. Wells, Edgar Allan Poe, Alphonse Daudet, Miguel de Cervantes, Shirley Jackson, Charles Dickens, Nathaniel Hawthorne, Rabindranath Tagore, and many others, have written numerous short stories as it gives them more freedom to express their creativeness without being classified by a genre.
Just like a novel, a short story must has a well-written plot that leads to a conclusion. A short story is between 1,000 to 20,000 words. Anything over is either a novella or a novel, and anything under is considered as short stories or flash fiction.
What were some of the earliest short stories? Author Glunaz Fatma suggests that one of the earliest short stories is Homer's Odyssey, which is a mandatory read in most high schools. Of course there are also fables, myths, and fairy tales that have been around probably even longer.
A Short History of the Short Story is written in laymen terms so anybody from any background can read it. Every high school student has to read and do homework from a short story text book and I think this book would make a good companion to it. I recommend the book to students, teachers, schools and all scholars.