Moodle as a tool for managing your own knowledge

Venkata Ravi Kiran Kolla

Abstract


One of the most popular learning environments worldwide is Moodle (an open-source software programme), with 230 countries and 94,839 sites registered (data from Moodle.net, retrieved 11.03.2018.). Although Moodle is mostly regarded as a tool for learning management, it may also be used to help students improve their own knowledge management abilities. Personal knowledge management became popular as the ideals of the knowledge society gained traction. Three areas can benefit from knowledge management: (1) quicker and better decisions - by learning from organisations' mistakes, using adapted solutions, and making the right decisions; (2) wider possibilities - by encouraging employees to learn and use it, they become accountable for their investments; and (3) accelerated learning - by differentiating all new knowledge acquired personally or in the course of an organization's learning process.

References


Singu, S., & Tunguturi, M. (2015). Fundamentals and awareness of robotics. Transactions on Latest Trends in Health Sector, 7(7). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/191

Tunguturi, M. (2017). Extremely Low strength design for Water Purification. Transactions on Latest Trends in Health Sector, 9(9). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/190

Whig, P., & Ahmad, S. N. (2014d). Simulation of linear dynamic macro model of photo catalytic sensor in SPICE. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering.

Whig, P., Kouser, S., Velu, A., & Nadikattu, R. R. (2022). Fog-IoT-Assisted-Based Smart Agriculture Application. In Demystifying Federated Learning for Blockchain and Industrial Internet of Things (pp. 74–93). IGI Global.

Tunguturi, M., & Singu, S. (2012). The growth of Bigdata in Information Technology. Transactions on Latest Trends in Health Sector, 4(4). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/189

Tunguturi, M. (2010). Artificial intelligence and machine learning in the enterprise. Transactions on Latest Trends in Health Sector, 2(2). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/187

Jupalle, H., Kouser, S., Bhatia, A. B., Alam, N., Nadikattu, R. R., & Whig, P. (2022). Automation of human behaviors and its prediction using machine learning. Microsystem Technologies, 1–9.

Khera, Y., Whig, P., & Velu, A. (2021a). efficient effective and secured electronic billing system using AI. Vivekananda Journal of Research, 10, 53–60.

Tunguturi, M. (2022). Moment Localization Using Multi-Scale 2D Temporal Adjacent Networks and Natural Language. International Journal of Machine Learning for Sustainable Development, 4(3), 1-10. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/115

Tunguturi, M. (2022). AI Analysis for Tic-Tac- Toe Game. Transactions on Latest Trends in Artificial Intelligence, 3(3). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/93

Tunguturi, M. (2018). Avoid Road Accident Using IoT. Transactions on Latest Trends in IoT, 1(1), 31-40. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/167

Singu, S. (2021). Network based Weaknesses & Countermeasures. International Journal of Sustainable Development in Computing Science, 3(3), 47-52. Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/179

Singu, S. (2021). Comparative Analysis of Artificial Neural Networks. International Journal of Machine Learning for Sustainable Development, 3(4). Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/192

Singu, S. (2018). Blockchain based answer for comfortable Audit logs. Transactions on Latest Trends in IoT, 1(1), 21-30. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/166

Tunguturi, M., & Singu, S. (2016). Automation of human behaviors and its prediction . International Journal of Statistical Computation and Simulation, 8(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/53

Singu, S., & Tunguturi, M. (2014). More on Neural community and fuzzy device. International Journal of Statistical Computation and Simulation, 6(1), 1–10. Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/50

Singu, S., & Tunguturi, M. (2013). Fundamental standards and uses of big data analytics. International Journal of Statistical Computation and Simulation, 5(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/47

Tunguturi, M. (2018). American & Indian Comics on Instagram using Machine learning. International Journal of Statistical Computation and Simulation, 10(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/60

Tunguturi, M. (2011). More on Big data to the world. International Journal of Statistical Computation and Simulation, 3(1), 1–10. Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/45

Tunguturi, M. (2009). More On Principles and Applications of Big Data Analytics. International Journal of Statistical Computation and Simulation, 1(1), 1–10. Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/43

Tunguturi, M. (2021). Dark Web Researchers Directory Services. Transaction on Recent Devlopment in Industrial IoT, 13(13). Retrieved from https://journals.threws.com/index.php/TRDAIoT/article/view/65

Tunguturi, M., & Singu, S. (2015). Latest machine learning applications across the globe. Transaction on Recent Devlopment in Industrial IoT, 7(7). Retrieved from https://journals.threws.com/index.php/TRDAIoT/article/view/64

Tunguturi, M., & Singu, S. (2014). Latest machine learning applications across the globe. Transaction on Recent Devlopment in Industrial IoT, 6(6). Retrieved from https://journals.threws.com/index.php/TRDAIoT/article/view/63

Singu, S., & Tunguturi, M. (2016). Smart agriculture utility the use of fog-iot. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 8(8). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/67

Singu, S. (2019). A new method on provider Description support Customization . Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 11(11). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/68

Tunguturi, M. (2021). More on Artificial Intelligence in COVID-19. International Journal of Sustainable Devlopment in Field of IT, 13(13). Retrieved from https://journals.threws.com/index.php/IT/article/view/69

Singu, S. (2022). An IOT based Home Automation System (HAS). International Journal of Machine Learning for Sustainable Development, 4(2), 11-20. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/95

Tunguturi, M. (2019). Comparative Analysis of Balancing Techniques in Cloud Computing. International Journal of Managment Education for Sustainable Development, 2(2), 41-50. Retrieved from https://www.ijsdcs.com/index.php/IJMESD/article/view/171

Singu, S. (2019). Trends of Text Mining Techniques used in Social Media Websites. International Journal of Managment Education for Sustainable Development, 2(2), 51-60. Retrieved from https://www.ijsdcs.com/index.php/IJMESD/article/view/172

Singu, S. (2017). A robust technique for image processing. Transactions on Latest Trends in Health Sector, 9(9). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/193

Singu, S. (2021). Novel HealthCare Framework for Cardiac Arrest. International Journal of Sustainable Devlopment in Field of IT, 13(13). Retrieved from https://journals.threws.com/index.php/IT/article/view/71

Singu, S. (2021). Business Intelligence on the Quality of Decision Making. International Journal of Statistical Computation and Simulation, 13(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/24

Singu, S. (2022). Analysis Of Mental Health During COVID-19 Pandemic. International Journal of Sustainable Development in Computing Science, 4(3), 41-50. Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/101

Singu, S. (2022). Web Based Automated Online Examination System. Transactions on Latest Trends in Artificial Intelligence, 3(3). Retrieved from https://www.ijsdcs.com/index.php/TLAI/article/view/91

Singu, S., & Tunguturi, M. (2017). Protect Personal Privacy And Wasting Time Using AI and ML. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 9(9). Retrieved from https://journals.threws.com/index.php/TRDAIML/article/view/72

Tunguturi, M. (2020). Children and the coronavirus disease 2019 pandemic. Transactions on Latest Trends in IoT, 3(3), 11-22. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/133

Tomar, U., Chakroborty, N., Sharma, H., & Whig, P. (2021). AI based Smart Agricuture System. Transactions on Latest Trends in Artificial Intelligence, 2(2).

Velu, A., & Whig, P. (2021a). Protect Personal Privacy And Wasting Time Using Nlp: A Comparative Approach Using Ai. Vivekananda Journal of Research, 10, 42–52.

Singu, S. (2020). A structural approach to tracking the spread of the SARS-CoV-2 pandemic in educational settings. Transactions on Latest Trends in IoT, 3(3), 23-32. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/134

Singu, S. (2020). Socially distant smart gadget for COVID-19. Transactions on Latest Trends in Health Sector, 12(12). Retrieved from https://www.ijsdcs.com/index.php/TLHS/article/view/194

Mahesh Tunguturi, & Samrajyam Singu. (2022). AFFECTATION INDEX AND SEVERITY DEGREE BY COVID-19 IN CHEST X-RAY IMAGES USING ARTIFICIAL INTELLIGENCE. International Journal of Innovations in Engineering Research and Technology, 9(9), 37–46. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3460

Samrajyam Singu and Mahesh Tunguturi, “LUNG CANCER DIAGNOSIS USING MACHINE LEARNING”, IEJRD - International Multidisciplinary Journal, vol. 6, no. 2, p. 15, Mar. 2021.

Kolla, Venkata Ravi Kiran, A Comparative Analysis of OS Forensics Tools (April 2, 2022). International Journal of Research in IT and Management (IJRIM), Vol. 12 Issue 4, April- 2022 , Available at SSRN: https://ssrn.com/abstract=4413730

Kolla, Venkata Ravi Kiran, Emojify: A Deep Learning Approach for Custom Emoji Creation and Recognition (January 11, 2021). International Journal of Creative Research Thoughts, 2021, Available at SSRN: https://ssrn.com/abstract=4413719

Kolla, Venkata Ravi Kiran, Heart Disease Diagnosis Using Machine Learning Techniques In Python: A Comparative Study of Classification Algorithms For Predictive Modeling (September 6, 2015). International Journal of Electronics and Communication Engineering & Technology, 2015, Available at SSRN: https://ssrn.com/abstract=4413723

Kolla, Venkata Ravi Kiran, A Secure Artificial Intelligence Agriculture Monitoring System (July 31, 2021). JounalNX, 2021, Available at SSRN: https://ssrn.com/abstract=4413466

Kolla, Venkata Ravi Kiran, Paws And Reflect: A Comparative Study of Deep Learning Techniques For Cat Vs Dog Image Classification (December 20, 2020). International Journal of Computer Engineering and Technology, 2020, Available at SSRN: https://ssrn.com/abstract=4413724

Kolla, Venkata Ravi Kiran, Forecasting the Future of Crypto currency: A Machine Learning Approach for Price Prediction (December 1, 2020). International Research Journal of Mathematics, Engineering and IT, Volume 7, Issue 12, December 2020, Available at SSRN: https://ssrn.com/abstract=4413732

Kolla, Venkata Ravi Kiran, Forecasting the Future: A Deep Learning Approach for Accurate Weather Prediction (December 01, 2018). International Journal in IT & Engineering (IJITE), 2018, Available at SSRN: https://ssrn.com/abstract=4413727

Kolla, Venkata Ravi Kiran, Forecasting Laptop Prices: A Comparative Study of Machine Learning Algorithms for Predictive Modeling (December 30, 2016). International Journal of Information Technology & Management Information System, 2016, Available at SSRN: https://ssrn.com/abstract=4413726

Kolla, Venkata Ravi Kiran, Analyzing the Pulse of Twitter: Sentiment Analysis using Natural Language Processing Techniques (August 1, 2016). International Journal of Creative Research Thoughts, 2016, Available at SSRN: https://ssrn.com/abstract=4413716

Meenigea , N., & kolla, V. ravi kiran. (2013). Heart Disease Prediction using Deep Learning and Artificial intelligence. International Journal of Statistical Computation and Simulation, 5(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/150

Meenigea, N. (2014). Type 2 Diabetes mellitus treatment intensification and deintensification. Transaction on Recent Devlopment in Industrial IoT, 6 (6).

Meenigea, N. (2022). Evaluation of antioxidant potential and antimicrobial activity. Transactions on Latest Trends in Health Sector, 14(14). Retrieved from https://ijsdcs.com/index.php/TLHS/article/view/269

Meenigea, N. (2022). In hospital deprescribing in the real world. Transactions on Latest Trends in Artificial Intelligence, 3(3). Retrieved from https://ijsdcs.com/index.php/TLAI/article/view/276

Meenigea, N. (2019). A systematic review OF splitting a tablet obtain an accurate dose. International Journal of Machine Learning for Sustainable Development, 1(2), 51-60. Retrieved from https://www.ijsdcs.com/index.php/IJMLSD/article/view/273

Meenigea, N. (2019). EMOJIFY-CREATE YOUR OWN EMOJIS WITH DEEP LEARNING. International Journal of Sustainable Development in Computing Science, 1(1), 31-39.

Meenigea, N. (2015). Assessing the acceptance of augmented-reality. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 7 (7).

Meenigea, N. kolla, V. ravi kiran.(2019). Classification of Fruits/Vegetables using TensorFlow. International Transactions in Artificial Intelligence, 3(3).

Meenigea, N. kolla, V. ravi kiran.(2013). Heart Disease Prediction using Deep Learning and Artificial intelligence. International Journal of Statistical Computation and Simulation, 5(1).

Meenigea, N. (2021). Safety of metaraminol in critically ill patients with shock. International Journal of Sustainable Devlopment in Computer Science Engineering, 7(7).

Meenigea, N. (2021). Virtual Objective Structured Clinical Examinations. International Scientific Journal for Research, 3 (3).

Meenigea, N. (2020). Experiential-based foundational pharmacy residency programs: a narrative review. International Scientific Journal for Research, 2 (2).

Meenigea, N. (2020). Exploring career advancement of pharmacy. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 12 (12).

Meenigea, N. (2018). Building a pharmacy workforce from the ground up to support the COVID-19 vaccine rollout. Transactions on Latest Trends in IoT, 1(1), 61-67. Retrieved from https://www.ijsdcs.com/index.php/TLIoT/article/view/278

Meenigea, N. (2018). Knowledge and perceptions of outpatients regarding upper respiratory tract. International Journal of Managment Education for Sustainable Development, 1(1), 50-55.

Meenigea, N. (2018). A Comparative Analysis of OS Forensics Tools in Health Sector. Transaction on Recent Devlopment in Industrial IoT, 10 (10).

Meenigea, N. (2017). Developing a mobile device-based medicines management application for people who are blind and visually impaired. Transaction on Recent Devlopment in Artificial Intellgence and Machine Learning, 9 (9).

Meenigea, N. kolla, V. ravi kiran.(2017). DETERMINING TELECOM COMPANY CHURN PREDICTION USING MACHINE LEARNING. International Transactions in Artificial Intelligence, 1(1).

Meenigea, N. (2023). Exploring the Current Landscape of Artificial Intelligence in Healthcare. International Journal of Sustainable Development in Computing Science, 1(1). Retrieved from https://www.ijsdcs.com/index.php/ijsdcs/article/view/285

Meenigea , N., & kolla, V. ravi kiran. (2013). Heart Disease Prediction using Deep Learning and Artificial intelligence. International Journal of Statistical Computation and Simulation, 5(1). Retrieved from https://journals.threws.com/index.php/IJSCS/article/view/150


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