Predicting Student Performance and Its Impact on Mental Health Using Machine Learning

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (137 download)

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Book Synopsis Predicting Student Performance and Its Impact on Mental Health Using Machine Learning by : Harsimran Singh

Download or read book Predicting Student Performance and Its Impact on Mental Health Using Machine Learning written by Harsimran Singh and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, the main aim of educational institutes is to provide a high level of education to the students. Career selection is one of the most important and quite difficult decisions for learners. It is very important to examine student's capabilities and interests. As stresses of tests, peer and parental pressure on marks scored and job opportunities are some of the factors that lead to mental illness for university students. Determining the factors underlying mental illness from academic success to maintain the proper balance of life is becoming increasingly necessary. This kind of novel machine learning prediction system would help students studying in engineering institutes to address these key challenges So that they will focus on their targeted carrier. In this study, both classification and clustering techniques have been tested on the student academic and family datasets of various engineering students in Delhi, India. Although all the classifier models show comparably high classification performances, the Hybrid neural network is the best-concerning accuracy and precision. In addition, the analysis shows that mental health based on the performance of the students depends on various factors. The findings of this paper indicate the effectiveness and expressiveness of data mining models in performance evaluation. The result proves that the hybrid algorithm combining clustering and classification approaches yields results that are far superior in terms of achieving accuracy in the prediction of academic performance as well as mental wellnesses of the students.

Using Machine Learning to Detect Emotions and Predict Human Psychology

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Publisher : IGI Global
ISBN 13 :
Total Pages : 332 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Using Machine Learning to Detect Emotions and Predict Human Psychology by : Rai, Mritunjay

Download or read book Using Machine Learning to Detect Emotions and Predict Human Psychology written by Rai, Mritunjay and published by IGI Global. This book was released on 2024-02-26 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the realm of analyzing human emotions through Artificial Intelligence (AI), a myriad of challenges persist. From the intricate nuances of emotional subtleties to the broader concerns of ethical considerations, privacy implications, and the ongoing battle against bias, AI faces a complex landscape when venturing into the understanding of human emotions. These challenges underscore the intricate balance required to navigate the human psyche with accuracy. The book, Using Machine Learning to Detect Emotions and Predict Human Psychology, serves as a guide for innovative solutions in the field of emotion detection through AI. It explores facial expression analysis, where AI decodes real-time emotions through subtle cues such as eyebrow movements and micro-expressions. In speech and voice analysis, the book unveils how AI processes vocal nuances to discern emotions, considering elements like tone, pitch, and language intricacies. Additionally, the power of text analysis is of great importance, revealing how AI extracts emotional tones from diverse textual communications. By weaving these systems together, the book offers a holistic solution to the challenges faced by AI in understanding the complex landscape of human emotions.

Recent Advances in Computing Sciences

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Publisher : CRC Press
ISBN 13 : 1003849695
Total Pages : 345 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Recent Advances in Computing Sciences by : Sophiya Sheikh

Download or read book Recent Advances in Computing Sciences written by Sophiya Sheikh and published by CRC Press. This book was released on 2023-12-21 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 1st International Conference on Recent Advances in Computing Sciences (RACS-2022) organized by the School of Computer Application, Lovely Professional University, Jalandhar, Punjab from 4th to 5th November, 2022. The conference focuses on discussing issues, exchanging ideas, and the most recent innovations towards the advancement of research in the field of Computing Sciences and Technology. All technical sessions were predominantly related to Data Science, Artificial Intelligence, Remote Sensing, Image Processing, Computer Vision, Data Forensics, Cyber Security, Computational Sciences, Simulation & Modelling, Business Analytics, and Machine Learning. The main objective of this conference is to provide a common platform for academia and industry to discuss various technological challenges and share cognitive thoughts. It provided a thought-provoking platform to discuss and disseminate novel solutions for real-world problems in a dynamic and changing technological environment. The main success of RACS-2022 is to give an opportunity for the participants to enhance their knowledge of recent computing technologies.

Predicting Student Performance Using Machine Learning Analytics

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ISBN 13 :
Total Pages : 72 pages
Book Rating : 4.:/5 (18 download)

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Book Synopsis Predicting Student Performance Using Machine Learning Analytics by : Tatenda T. Taodzera

Download or read book Predicting Student Performance Using Machine Learning Analytics written by Tatenda T. Taodzera and published by . This book was released on 2018 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Predicting At-risk Students from Disparate Sources of Institutional Data

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Publisher :
ISBN 13 :
Total Pages : 68 pages
Book Rating : 4.:/5 (126 download)

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Book Synopsis Predicting At-risk Students from Disparate Sources of Institutional Data by : Ajay Siva Rayasam

Download or read book Predicting At-risk Students from Disparate Sources of Institutional Data written by Ajay Siva Rayasam and published by . This book was released on 2020 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past few years, the Mental Health Crisis in Higher Education has captivated the nation. This may be due in part to high profile cases, shifts in cultural attitudes, or increased demand for treatment. Regardless of the cause, student mental health has now become an epidemic. At MIT, there are over 4,000 consultations, 200 wellbeing checks and 50-70 psychiatric hospitalizations annually. In order to combat this challenge, most institutions invest in services such as mental health counseling or emergency response teams. However, these services are primarily used for students who self-report symptoms or for extreme cases. Unfortunately, of the nearly 3 million college dropouts per year, more than 40% did not report their mental illness. While the institutions have promoted mental health awareness, many students, who suffer from mental illness, remain undiscovered. As a result, this thesis proposes an novel approach -- using artificial intelligence to identify those hidden students. By leveraging non-invasive data found within the institution, machine learning can predict at-risk students before any symptoms occur. By doing so, the institutions could prevent dropouts, leaves of absences and deaths due to mental illness.

Applications of Machine Learning and Artificial Intelligence in Education

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Publisher : IGI Global
ISBN 13 : 1799877787
Total Pages : 271 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Applications of Machine Learning and Artificial Intelligence in Education by : Khadimally, Seda

Download or read book Applications of Machine Learning and Artificial Intelligence in Education written by Khadimally, Seda and published by IGI Global. This book was released on 2022-02-18 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modes and models of learning and instruction have shown a significant shift from yesterday's conventional learning and teaching given this era’s current educational and social contexts. Learners are no longer learning and communicating with human-generated, computed, and mediated—or traditional—learning and instructional practices, paving the way for machine-facilitated communication, learning, and teaching tools. Learning and instruction, communication and information exchange, as well as gathering, coding, analyzing, and synthesizing data have proven to be in need of even more innovative technology-moderated tools. Applications of Machine Learning and Artificial Intelligence in Education focuses on the parameters of remote learning, machine learning, deep learning, and artificial intelligence under 21st-century learning and instructional contexts. Covering topics such as data coding and social networking technology, it is ideal for learners with an interest in the deep learning discipline, educators, educational technologists, instructional designers, and data evaluators, as well as special interest groups (SGIs) in the discipline.

Proceedings of Eighth International Congress on Information and Communication Technology

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Publisher : Springer Nature
ISBN 13 : 981993043X
Total Pages : 1076 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Proceedings of Eighth International Congress on Information and Communication Technology by : Xin-She Yang

Download or read book Proceedings of Eighth International Congress on Information and Communication Technology written by Xin-She Yang and published by Springer Nature. This book was released on 2023-08-31 with total page 1076 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-quality research papers presented at the Eighth International Congress on Information and Communication Technology, held at Brunel University, London, on 20–23 February 2023. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes.

Predictive Modelling of Stress/Anxiety Disorder Using Machine Learning

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.2/5 (241 download)

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Book Synopsis Predictive Modelling of Stress/Anxiety Disorder Using Machine Learning by : Pooja Gupta

Download or read book Predictive Modelling of Stress/Anxiety Disorder Using Machine Learning written by Pooja Gupta and published by . This book was released on 2024-01-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mental health issues are one of the top reasons for global disability. Three of the top 10 reasons for disability in people between the age of 15 and 44 are mental disorders (World Health Report, 2002). Experiencing a lot of stress or anxiety over a long period of time can be the main cause of mental illness. Stress is an inherent part of life that can have major repercussions for social and emotional functioning, leading to the emergence of mental health disorders. Facial expressions are a vital component of emotions, which people can readily notice and react to even without conscious awareness. The human face is said to be a reflection of one's emotions. The human face and facial expressions are the most powerful ways to convey an emotional state. Most of the previous studies of facial expression recognition and emotion detection focused only on seven primary emotions: happiness, sadness, anger, disgust, fear, surprise, and neutral. Stress and anxiety are the two emotional states that have been recently added to the above-mentioned set of emotions and can be measured. These states can be defined as people's reactions when exposed to pressures and demands that do not match their knowledge and abilities, thus putting their management abilities to the test (Franken, R., 1994). This introductory chapter provides an overview of the concept of stress, including its terminologies, classifications, and effects on organisations and individuals. The chapter is structured into nine sections with the objective of developing a conceptual knowledge of stress and its consequences through extensive, sound, and scientific study. The first section deals with the basic concept of stress in general, various definitions of stress, and its various types and stressors, followed by the second section, which deals with the basic concepts of anxiety, types of anxiety, and its signs and symptoms. The third section deals with the physical, mental, and cognitive effects of stress and anxiety on the human body. The fourth section deals with the concept of stress and anxiety's impact on the human face. The sixth section briefly explains the motivation of the study and the need for a stress prediction system. The seventh section presents the various applications of stress prediction system. The eighth section discusses research questions and research objectives, and finally, the ninth section presents the organization of the thesis, followed by a chapter summary.

Proceedings of ICACTCE'23 — The International Conference on Advances in Communication Technology and Computer Engineering

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Publisher : Springer Nature
ISBN 13 : 303137164X
Total Pages : 744 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Proceedings of ICACTCE'23 — The International Conference on Advances in Communication Technology and Computer Engineering by : Celestine Iwendi

Download or read book Proceedings of ICACTCE'23 — The International Conference on Advances in Communication Technology and Computer Engineering written by Celestine Iwendi and published by Springer Nature. This book was released on 2023-10-25 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, communication technology and computer engineering are intertwined, with advances in one field driving advances in the other, leading to the development of outstanding technologies. This book delves into the latest trends and breakthroughs in the areas of communication, Internet of things, cloud computing, big data, artificial intelligence, and machine learning. This book discusses challenges and opportunities that arise with the integration of communication technology and computer engineering. In addition, the book examines the ethical and social implications, including issues related to privacy, security, and digital divide and law. We have explored the future direction of these fields and the potential for further breakthroughs and innovations. The book is intended for a broad audience of undergraduate and graduate students, practicing engineers, and readers without a technical background who have an interest in learning about communication technology and computer engineering.

Artificial Intelligence in Healthcare

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Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing

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Publisher : Elsevier
ISBN 13 : 0443141401
Total Pages : 186 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing by : Rajesh Kumar Tripathy

Download or read book Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing written by Rajesh Kumar Tripathy and published by Elsevier. This book was released on 2024-06-17 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular data analysis. Topics in this book include machine learning methods such as supervised learning, unsupervised learning, semi-supervised learning, and meta-learning combined with different signal processing techniques such as multivariate data analysis, time-frequency analysis, multiscale analysis, and feature extraction techniques for the detection of cardiovascular diseases, heart valve disorders, hypertension, and activity monitoring using ECG, PPG, and PCG signals. In addition, this book also includes the applications of digital signal processing (time-frequency analysis, multiscale decomposition, feature extraction, non-linear analysis, and transform domain methods), machine learning and deep learning (convolutional neural network (CNN), recurrent neural network (RNN), transformer and attention-based models, etc.) techniques for the analysis of cardiac signals. The interpretable machine learning and deep learning models combined with signal processing for cardiovascular data analysis are also covered. Provides details regarding the application of various signal processing and machine learning-based methods for cardiovascular signal analysis Covers methodologies as well as experimental results and studies Helps readers understand the use of different cardiac signals such as ECG, PCG, and PPG for the automated detection of heart ailments and other related biomedical applications

Role of Higher Education Institutions in Achieving Sustainable Development Goals

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Publisher : Sri Sairam College of Engineering
ISBN 13 : 9356593396
Total Pages : 227 pages
Book Rating : 4.3/5 (565 download)

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Book Synopsis Role of Higher Education Institutions in Achieving Sustainable Development Goals by : Sri Sairam College of Engineering

Download or read book Role of Higher Education Institutions in Achieving Sustainable Development Goals written by Sri Sairam College of Engineering and published by Sri Sairam College of Engineering. This book was released on 2022-08-01 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contains papers related to Role of Higher Education Institutions in Achieving Sustainable Development Goals

Machine Learning in Educational Sciences

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Publisher : Springer Nature
ISBN 13 : 9819993792
Total Pages : 389 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Machine Learning in Educational Sciences by : Myint Swe Khine

Download or read book Machine Learning in Educational Sciences written by Myint Swe Khine and published by Springer Nature. This book was released on with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Collective Intelligence

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Publisher : Springer Nature
ISBN 13 : 3031708199
Total Pages : 415 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Computational Collective Intelligence by : Ngoc Thanh Nguyen

Download or read book Computational Collective Intelligence written by Ngoc Thanh Nguyen and published by Springer Nature. This book was released on with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence Application in Networks and Systems

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Publisher : Springer Nature
ISBN 13 : 3031353145
Total Pages : 854 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Artificial Intelligence Application in Networks and Systems by : Radek Silhavy

Download or read book Artificial Intelligence Application in Networks and Systems written by Radek Silhavy and published by Springer Nature. This book was released on 2023-07-08 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of artificial intelligence in networks and systems is a rapidly evolving field that has the potential to transform a wide range of industries. The refereed proceedings in this book is from the Artificial Intelligence Application in Networks and Systems session of the Computer Science Online Conference 2023 (CSOC 2023), which was held online in April 2023. The section brings together experts from different fields to present their research and discuss the latest trends and challenges. One of the key themes in this section is the development of intelligent systems that can learn, adapt, and optimize their performance in real time. Researchers are exploring how AI algorithms can be used to create autonomous networks and systems that can make decisions without human intervention. Furthermore, this section highlights the use of AI in improving network performance and efficiency. Researchers are exploring how AI algorithms can be used to optimize network routing, reduce congestion, and improve the quality of service. These efforts can help organizations save costs and improve user experience.

Handbook of Research on Innovative Frameworks and Inclusive Models for Online Learning

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Publisher : IGI Global
ISBN 13 : 1668490730
Total Pages : 441 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Handbook of Research on Innovative Frameworks and Inclusive Models for Online Learning by : Keengwe, Jared

Download or read book Handbook of Research on Innovative Frameworks and Inclusive Models for Online Learning written by Keengwe, Jared and published by IGI Global. This book was released on 2023-08-18 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Research on Innovative Frameworks and Inclusive Models for Online Learning is edited by Jared Keengwe, an experienced professor in Curriculum Design and Instruction. This comprehensive reference guide offers academic scholars a collection of diverse frameworks from empirical studies, literature reviews, and case studies related to inclusive models for online learning. Covering a wide range of topics, including pedagogical adaptations to online learning, innovative pedagogical theories, inclusive teaching and learning, and best practices in online course design, the handbook provides practical insights to achieve effective pedagogical outcomes grounded on sound theoretical frameworks. Whether you are an online educator, instructional designer, teacher educator, librarian, student, online learning researcher, or educational manager, this handbook can serve as a valuable resource to guide your research, design, and practice in online learning. The Handbook of Research on Innovative Frameworks and Inclusive Models for Online Learning is a must-read for academic scholars who want to stay updated on the latest research, theories, and models for effective online education.

Breaking Barriers with Generative Intelligence. Using GI to Improve Human Education and Well-Being

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Publisher : Springer Nature
ISBN 13 : 3031659961
Total Pages : 252 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Breaking Barriers with Generative Intelligence. Using GI to Improve Human Education and Well-Being by : Azza Basiouni

Download or read book Breaking Barriers with Generative Intelligence. Using GI to Improve Human Education and Well-Being written by Azza Basiouni and published by Springer Nature. This book was released on with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: