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SOFTWARE ENGINEERING - Coggle Diagram

- - - - AUTHORS
        
        P. Ranaweera. CORE.AC.UK. Retrieved November 12, 2023
      - ABSTRACT
        
        The concept and its practical approach towards achieving an information literate society will be discussed in detail in this paper. There are many reasons for this inadequacy, and the lack of information literacy skills have been identified as one of them. Information literacy skills are achieved by students, through student centered, resource based teaching learning methods that direct them towards deep learning, thus creating an information literate society
      - KEY CONCEPTS
        
        Social Approach
        
        Accuracy
        
        Information Retrieval
  - - - AUTHORS
        
        P. Francesc, S. Miguel, R. Axel & V. Paula (2019). United NationsEducational, Scientific andCultural Organization. Retrieved November 12, 2023
      - ABSTRACT
        
        Artificial Intelligence is a booming technological domain capable of altering every aspect of our social interactions. In education, AI has begun producing new teaching and learning solutions that are now undergoing testing in different contexts. The paper then addresses the challenges and policy implications that should be part of the global and local conversations regarding the possibilities and risks of introducing AI in education and preparing students for an AI-powered context. This paper reflects on future directions for AI in education, ending with an open invitation to create new discussions around the uses, possibilities and risks of AI in education for sustainable development.
      - KEY CONCEPTS
        
        Policy Making
        
        Opportunities
        
        Education
  - - - AUTHORS
        
        A. Brnabic & L. Hess (2021). BMC Medical Informatics and Decision Making. Retrieved November 12, 2023
      - ABSTRACT
        
        A wide variety of approaches, algorithms, statistical software, and validation strategies were employed in the application of machine learning methods to inform patient-provider decision making. There is a need to ensure that multiple machine learning approaches are used, the model selection strategy is clearly defined, and both internal and external validation are necessary to be sure that decisions for patient care are being made with the highest quality evidence. Future work should routinely employ ensemble methods incorporating multiple machine learning algorithms.
      - KEY CONCEPTS
        
        Literature
        
        Decision Making
        
        Machine Learning
  - - - AUTHORS
        
        M. Masrom, A. Busalim, H. Abuhassna & N. Mahmood (2021). International Journal of Educational Technology in Higher Education. Retrieved November 12, 2023
      - ABSTRACT
        
        The use of online social networks (OSNs) has increasingly attracted attention from scholars’ in different disciplines. This study conducted a systematic literature review on student behavior and OSNs to explicate to what extent students behave on these platforms. This study’s results demonstrate that the number of studies that address student behaviors on OSNs have recently increased. Moreover, the identified studies focused on five research streams, including academic purpose, cyber victimization, addiction, personality issues, and knowledge sharing behaviors. Most of these studies focused on the use and effect of OSNs on student academic performance.
      - KEY CONCEPTS
        
        Online
        
        Social Media
        
        Behavior
  - - - AUTHORS
        
        R. Raju, N. H. Rahman, A. Ahmad (2022). University of Melbourne. Retrieved November 12, 2023
      - KEY CONCEPTS
        
        Awareness
        
        Digital Learning
        
        Students
      - ABSTRACT
        
        This study uses a digital learning platform to examine the cyber security awareness among UiTM Terengganu Faculty of Computer and Mathematical Sciences students. The study is significant to focus on the weakness and to educate the students about being cyber victims. Descriptive analysis shows that many students have awareness and knowledge of cyber security, cyberattack, and cyberbullying.
- - - - Kaur, H., & Goraya, M. S. (2017). EBSCOhost | A Scenario of IT based Agriculture Projects in India.
    - - In India, agriculture sustains a significant rural population, serving as their primary source of livelihood. Over the past decade, there has been remarkable growth in the adoption of electronic infrastructure for agricultural processes and development. The increasing accessibility of electronic equipment and IT-based applications has led to substantial progress in the agricultural sector. This paper aims to provide a concise overview of various IT-based agricultural projects implemented in India, emphasizing the electronic and IT applications and services associated with these initiatives.
    - - Rural Dependence on Agriculture
      - Rapid Growth of Electronic Infrastructure
      - Government Initiatives in Agricultural Technology
  - - - Weres, J., Mueller, W., Kozłowski, R., & Kluza, T. (2010).
    - - The urgent need for reliable information in agriculture has driven the integration of advanced technologies into web-based decision support systems. Implementing these technologies is crucial for software developers to uphold quality standards. This study explores the application of emerging technologies, particularly in the latest Microsoft .NET Framework, focusing on ASP.NET, C++/CLI, and C#. The approach incorporates AJAX for interactivity, LINQ for data handling, CSS for web design, and WPF and WCF for robust web applications and services. The analysis includes several original web applications from the ICT repository of the Department of Applied Informatics, Institute of Agricultural Engineering, Poznan University of Life Sciences.
    - - Enhancing Agriculture Information Systems:
      - Implementation of Advanced Technologies in Software Development
      - Innovative Application of Technologies in Agriculture
  - - - Tan, L., Haley, R., Wortman, R., & Zhang, Q. (2012).
    - - Recent technological advancements in information technology and engineering present new opportunities for precision agriculture research and practices. To address the challenge of efficiently analyzing and utilizing the voluminous real-time data collected from diverse field devices, we propose a streamlined software architecture. This architecture features: (a) a meta-data-model-based data importation component for diverse data formats; (b) a user-defined data processing subsystem allowing custom workflows and operators; (c) a client-server model supporting various devices, including mobile ones like the Apple iPad. This open-source tool has been implemented and successfully applied in a USDA-sponsored project on canopy management for specialty crops.
    - - Technological Advances in Precision Agriculture
      - Challenges in Data Analysis for Precision Agriculture:
      - Innovative Software Architecture for Precision Agriculture
- - - - Internet addiction, a prevalent behavioral issue among teenagers and young people, has become a significant concern worldwide. This article aims to address university students' addiction to the internet and social media, using a questionnaire based on the Internet Addiction Test. The results will help researchers understand the impact of internet use on professional life, young people's development, and social phenomena, ultimately addressing adaptation problems.
        
        Key concept
        
        Excessive Internet Use
        
        Withdrawal Symptoms
        
        Negative Impact on Academic Performance
        
        Author
        
        (No date a) A study about internet addiction of university students - researchgate. Available at: https://www.researchgate.net/publication/322670610_A_Study_about_Internet_Addiction_of_University_Students (Accessed: 12 November 2023).
  - - - (Xabier Larrucea et al., 2017)
    - - This paper presents empirical research on Internet software development practices, aiming to understand key features characterizing this domain. Through Grounded Theory analysis of data from nine US software development organizations, three influencing factors are identified: rush-to-market demands, unique market environments, and limited experience in developing such products. While some characteristics overlap with traditional software development, the intensity and combination of these factors distinguish Internet software development. Notable differences encompass specific methods, tools, and management techniques, contributing to a distinct development culture and negotiable software quality.
    - - Distinct Influencing Factors in Internet Software Development
      - Differences from Traditional Software Development
      - Specifics of Internet Software Development Culture
  - - - (Mahdi Fahmideh et al., 2022)
    - - This research addresses the lack of a defined development process for Internet of Things (IoT) systems. Through a mixed-method study, we derived a conceptual process framework from existing literature, identifying 27 key tasks. Validated through a survey of 127 IoT practitioners from diverse backgrounds, our research informs software engineers about crucial development tasks and offers insights into challenges and recommendations for the next generation of IoT systems.
    - - Critical Gaps in IoT Development Processes
      - Conceptual Process Framework for IoT Development
      - Practitioner-Validated Insights
- - - - Artificial Intelligence (AI) is a subfield of computer science that focuses on understanding intelligent behavior and creating artifacts. It has significantly improved human life, particularly in healthcare, where it can improve disease prevention, detection, diagnosis, and treatment. AI can also detect patient safety issues and outbreaks with high accuracy. Current research aims for a more unified healthcare delivery experience.
        
        References
        
        Artificial Intelligence in healthcare-A review - researchgate. (n.d.). https://www.researchgate.net/publication/329163470_Artificial_Intelligence_in_Healthcare-A_Review
    - - Abstract
        
        Health system research focuses on the various levels of healthcare services, including central, state, regional, and local, and covers various aspects of society like socio-economic status, culture, religion, education, politics, and public and private sectors. It contributes to knowledge generation for effective, efficient, and sustainable health policies and systems, improving society's organization and achieving health goals.
        
        References
        
        (No date) Health System Research: Development, designs and methods. Available at: https://www.researchgate.net/publication/237075403_Health_System_Research_Development_Designs_and_Methods (Accessed: 12 November 2023).
      - THE STUDENTS’ MENTAL HEALTH STATUS
        
        Abstract
        
        Mental health refers to a stable social network and psychological maturation, requiring balance between self and environment. Mental health education is crucial for cultivating talents and enhancing overall qualities in higher education. A study of 289 university students found that 37.37% were suspected of having mental disorders, highlighting the importance of promoting mental health among students.
        
        References
        
        Nami, Y., Nami, M.S. and Eishani, K.A. (1970) The students’ mental health status, CyberLeninka. Available at: https://cyberleninka.org/article/n/902103 (Accessed: 13 November 2023).
        
        Key Concept
        
        Emotional
        
        Psychological
        
        Social Well-Being
      - Key concept
        
        Improvement of health
        
        Accessibility
        
        Quality of care
    - - Diagnostic and Predictive Capabilities
      - Personalized Medicine
      - Workflow Optimization