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Journal articles on the topic 'Learning management systems'

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1

Irfan, C. M. Althaff, Karim Ouzzane, Shusaku Nomura, and Yoshimi Fukumura. "211 AN ACCESS CONTROL SYSTEM For E-Learning MANAGEMENT SYSTEMS." Proceedings of Conference of Hokuriku-Shinetsu Branch 2010.47 (2010): 59–60. http://dx.doi.org/10.1299/jsmehs.2010.47.59.

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Wuttke, Heinz‐Dietrich, and Karsten Henke. "Learning management systems." Interactive Technology and Smart Education 6, no. 2 (2009): 97–107. http://dx.doi.org/10.1108/17415650910968107.

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3

Tkachenko, Olha, and Vladyslav Tyrkov. "Distance Learning Management Systems." Digital Platform: Information Technologies in Sociocultural Sphere 5, no. 1 (2022): 67–81. https://doi.org/10.31866/2617-796X.5.1.2022.261291.

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The purpose of the article is to research, analyze and consider general problems and prospects for the development of management systems for learning processes with the ability to support distance learners using the latest technologies. The research methodology consists in methods of semantic analysis of the basic concepts of this subject area (management systems of educational processes). The article considers the approaches to the development and operation of the learning management system. The scientific novelty of the research is the analysis of the functioning of modern lea
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Cavus, Nadire. "Distance Learning and Learning Management Systems." Procedia - Social and Behavioral Sciences 191 (June 2015): 872–77. http://dx.doi.org/10.1016/j.sbspro.2015.04.611.

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Soumplis, Alexandros, Eleni Koulocheri, Nektarios Kostaras, Nikos Karousos, and Michalis Xenos. "Learning Management Systems and Learning 2.0." International Journal of Web-Based Learning and Teaching Technologies 6, no. 4 (2011): 1–18. http://dx.doi.org/10.4018/jwltt.2011100101.

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The unprecedented growth of Web 2.0 has affected learning and has made the growth of learning networks possible. Learning networks are shaped by communities to help their members acquire knowledge in specific areas and are the most notable feature of Learning 2.0, the new learning era that focuses on individual learning needs. The evolution of learning forces traditional Learning Management Systems (LMS) to incorporate more Web 2.0 features and slowly transform to Personal Learning Environments (PLEs). A Personal Learning Environment is a loosely structured collection of tools with strong soci
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Fardinpour, Ali, Mir Mohsen Pedram, and Martha Burkle. "Intelligent Learning Management Systems." International Journal of Distance Education Technologies 12, no. 4 (2014): 19–31. http://dx.doi.org/10.4018/ijdet.2014100102.

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Virtual Learning Environments have been the center of attention in the last few decades and help educators tremendously with providing students with educational resources. Since artificial intelligence was used for educational proposes, learning management system developers showed much interest in making their products smarter and more intelligent. Nevertheless, the questions of what an intelligent learning management system (ILSM) is and which tools and features are needed to make such system intelligent, are not clearly answered, therefore educational institutes do not have a proper tool to
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Tkachenko, Olha, and Vladyslav Tyrkov. "Distance Learning Management Systems." Digital Platform: Information Technologies in Sociocultural Sphere 5, no. 1 (2022): 67–81. http://dx.doi.org/10.31866/2617-796x.5.1.2022.261291.

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The purpose of the article is to research, analyze and consider general problems and prospects for the development of management systems for learning processes with the ability to support distance learners using the latest technologies. The research methodology consists in methods of semantic analysis of the basic concepts of this subject area (management systems of educational processes). The article considers the approaches to the development and operation of the learning management system. The scientific novelty of the research is the analysis of the functioning of modern learning managemen
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Ozkan, Sevgi, Refika Koseler, and Nazife Baykal. "Evaluating learning management systems." Transforming Government: People, Process and Policy 3, no. 2 (2009): 111–30. http://dx.doi.org/10.1108/17506160910960522.

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9

Passerini, Katia. "Evaluating Learning Management Systems." International Journal of Web-Based Learning and Teaching Technologies 1, no. 3 (2006): 1–27. http://dx.doi.org/10.4018/jwltt.2006070101.

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10

Patil, Sonali Balwant, and Prof Dr D. B. Kadam. "EDUCATION MANAGEMENT SYSTEMS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 10 (2023): 1–11. http://dx.doi.org/10.55041/ijsrem25899.

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The higher education system strives to make every possible aspect of study better by incorporating technology and digitalization into the process. As we all move towards personalization and user experience, the education industry can do the same by implementing learning management systems for various schools and programs in school. In this age where knowledge comes to the fore, the importance of knowledge is emphasized once again and the education system can use student knowledge to become more effective and enrich the body. However, this is only possible if the data is stored in a unified man
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Abimbola, Olamide. "Reinforcement Learning for Energy Storage Management in Renewable Systems." International Journal of Research Publication and Reviews 6, no. 4 (2025): 5960–69. https://doi.org/10.55248/gengpi.6.0425.14126.

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12

Yamani, Hanaa A., Ahmed D. Alharthi, and Lassaad Kacem Smirani. "Evaluation of Learning Management Systems." International Journal of Emerging Technologies in Learning (iJET) 17, no. 07 (2022): 125–44. http://dx.doi.org/10.3991/ijet.v17i07.28881.

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This study examined, by analysis and comparison, two Learning Management Systems (LMS): Blackboard and Brightspace. The field research sample consisted of 513 students at Umm Al-Qura University. The study attempted to answer central questions dealing with the evaluation level of Umm Al-Qura University students for the characteristics of these two LMS. The study concludes that most students agree on the benefits of Blackboard and Brightspace, and according to them, the most common advantages of these LMS are: Help to access shared data and files, record and monitor the learner's performance, he
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Yalanetskyi, Valerii. "BLOCKCHAIN-BASED LEARNING MANAGEMENT SYSTEMS." Cybersecurity: Education, Science, Technique 3, no. 19 (2023): 56–68. http://dx.doi.org/10.28925/2663-4023.2023.19.5668.

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In the context of the development of the world educational sphere, taking into account modern trends and challenges, in the context of the transformation of social services into digital forms, the actual research is the search for ideas, concepts, startups, pilot projects and features of the introduction of blockchain technology in education. The first Bitcoin blockchain was designed as an extremely secure and reliable information network for the financial sector, where the storage and transfer of value assets is the main functionality. In the field of education and educational processes, the
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14

García-Peñalvo, Francisco, Miguel Conde, Marc Forment, and María Casany. "Opening Learning Management Systems to Personal Learning Environments." JUCS - Journal of Universal Computer Science 17, no. (9) (2011): 1222–40. https://doi.org/10.3217/jucs-017-09-1222.

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New ICT technologies are continuously introducing changes in the way in which society generates, shares and access information. This is changing what society expects and requires of education. eLearning is acting as a vector of this change, introducing pervasive transformations in and out of the classroom. But with Learning Management Systems (LMS) users have reached a plateau of productivity and stability. At the same time outside the walled garden of the LMS new transformative tools, services and ways of learning are already in use, within the PLE and PLN paradigms. The stability and maturit
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Chaw, Lee Yen, and Chun Meng Tang. "What Makes Learning Management Systems Effective for Learning?" Journal of Educational Technology Systems 47, no. 2 (2018): 152–69. http://dx.doi.org/10.1177/0047239518795828.

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Learning management systems (LMSs) may provide learners with resources in various formats, such as videos, quizzes, and forum discussions to support their learning, but having access to an LMS does not necessarily mean that learning has occurred effectively. Despite its apparent usefulness, whether the use of the LMS can indeed help learners learn more effectively remains an interesting matter for course providers, LMS vendors, and learners. Therefore, this study adopted the updated DeLone and McLean information system success model to examine whether LMS system quality, information quality, a
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16

Liyanage, M. Prabhani Pitigala, K. S. Lasith Gunawardena, and Masahito Hirakawa. "Using Learning Styles to Enhance Learning Management Systems." International Journal on Advances in ICT for Emerging Regions (ICTer) 7, no. 2 (2015): 1. http://dx.doi.org/10.4038/icter.v7i2.7153.

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Liyanage, M. Prabhani Pitigala, K. S. Lasith Gunawardena, and Masahito Hirakawa. "Using learning styles to enhance learning management systems." International Journal on Advances in ICT for Emerging Regions (ICTer) 7, no. 2 (2014): 47. http://dx.doi.org/10.4038/icter.v7i2.7177.

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18

Morgado, Erla Mariela Morales, Francisco Jose Garcia Penalvo, Hugo Rego, and Tiago Moreira. "Learning objects quality management for e-learning systems." International Journal of Technology Enhanced Learning 1, no. 3 (2009): 193. http://dx.doi.org/10.1504/ijtel.2009.024866.

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19

Ahmed, Khawlah, and Mujo Mesonovich. "Learning Management Systems and Student Performance." International Journal for e-Learning Security 8, no. 1 (2019): 582–91. http://dx.doi.org/10.20533/ijels.2046.4568.2019.0073.

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20

Al Amoush, Abdeleh Bassam, and Kamaljeet Sandhu. "Digital Learning Management Systems Case Study." International Journal of Information Communication Technologies and Human Development 11, no. 3 (2019): 42–60. http://dx.doi.org/10.4018/ijicthd.2019070103.

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Digital learning management systems (DLMSs) are an important and a necessary educational tool for learning activities. The universities are using the digital LMS (DLMS) tools that are unique to their environment. Different universities have different DLMS tools that are software driven and allow the users (management, instructors, and students) to use them for regular tasks. This research discusses the qualitative data collected using the case study methodology. In this research, case study design was selected for the qualitative methodology and semi-structured interviews were employed as the
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21

N, Sai Tanishq. "Machine Learning for Database Management Systems." International Journal of Engineering and Computer Science 9, no. 08 (2020): 25132–47. http://dx.doi.org/10.18535/ijecs/v9i08.4520.

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 Machine Learning (ML) is transforming the world with research breakthroughs that are leading to the progress of every field. We are living in an era of data explosion. This further improves the output as data that can be fed to the models is more than it has ever been. Therefore, prediction algorithms are now capable of solving many of the complex problems that we face by leveraging the power of data. The models are capable of correlating a dataset and its features with an accuracy that humans fail to achieve. Bearing this in mind, this research takes an in-depth look into
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22

Iqbal, Shakeel. "Learning Management Systems (LMS): Inside Matters." Information Management and Business Review 3, no. 4 (2011): 206–16. http://dx.doi.org/10.22610/imbr.v3i4.935.

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By the end of last millennium, many universities and colleges started using internet to meet their distance learning needs. Different course management systems (CMS) were developed to meet the needs of online and hybrid courses. These CMS later on transformed into Learning Management Systems (LMS). Many educational institutions have already started using LMS and there are still many who are considering adopting one. The big question before the late adopters of this online learning technology is which LMS they should opt for? This study will be useful for those who are in the process of selecti
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23

Porter, Gavin W. "Free choice of learning management systems." Interactive Technology and Smart Education 10, no. 2 (2013): 84–94. http://dx.doi.org/10.1108/itse-07-2012-0019.

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24

Boehm, Matthias, Arun Kumar, and Jun Yang. "Data Management in Machine Learning Systems." Synthesis Lectures on Data Management 14, no. 1 (2019): 1–173. http://dx.doi.org/10.2200/s00895ed1v01y201901dtm057.

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25

San Cristóbal Ruiz, Elio, Rafael Pastor Vargas, Rosario Gil Ortego, Russ Meier, Hamadou Saliah-Hassane, and Manuel Castro. "Vulnerability Assessment of Learning Management Systems." IT Professional 25, no. 1 (2023): 60–67. http://dx.doi.org/10.1109/mitp.2022.3204640.

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26

Alsaif, Suleiman Ali, Alice S. Li, Ben Soh, Mohammed A. AlZain, and Mehedi Masud. "From Learning Management Systems to a Social Learning Environment." International Journal of Smart Education and Urban Society 10, no. 1 (2019): 1–18. http://dx.doi.org/10.4018/ijseus.2019010101.

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Since the advances in information and communication technologies, educational technology has been a priority research topic for academics, technology specialists and educational system developers. The objective of the study in this article is to evaluate the current learning systems and to shed the light on applications of social networking sites in higher education environment. To this end, the authors review the available alternative learning models with a view to achieving the most appropriate comprehensive and integral learning model. This article explores and compares the current advanced
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27

Drira, R., M. Laroussi, X. Le Pallec, and B. Warin. "Contextualizing Learning Scenarios According to Different Learning Management Systems." IEEE Transactions on Learning Technologies 5, no. 3 (2012): 213–25. http://dx.doi.org/10.1109/tlt.2011.35.

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28

Park, Ji Yong. "Course evaluation: reconfigurations for learning with learning management systems." Higher Education Research & Development 33, no. 5 (2014): 992–1006. http://dx.doi.org/10.1080/07294360.2014.890564.

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29

Sai Swaroop Reddy, Venkata. "Leveraging Machine Learning for Personalization and Security in Content Management Systems." International Journal of Science and Research (IJSR) 13, no. 3 (2024): 1943–46. https://doi.org/10.21275/sr24037110821.

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30

Anand, Gurjapna. "Machine Learning in Different Applications of Supply - based Chain Management Systems." International Journal of Science and Research (IJSR) 12, no. 7 (2023): 1207–10. http://dx.doi.org/10.21275/sr23626111517.

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31

Grace, Audrey, and Tom Butler. "Learning management systems: a new beginning in the management of learning and knowledge." International Journal of Knowledge and Learning 1, no. 1/2 (2005): 12. http://dx.doi.org/10.1504/ijkl.2005.006248.

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32

Viotti, Eduardo B. "National Learning Systems." Technological Forecasting and Social Change 69, no. 7 (2002): 653–80. http://dx.doi.org/10.1016/s0040-1625(01)00167-6.

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33

Hjalager, Anne-Mette. "Interorganizational learning systems." Human Systems Management 18, no. 1 (1999): 23–33. http://dx.doi.org/10.3233/hsm-1999-18104.

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The occurrence of organizational and interorganizational learning processes is not only the result of management endeavors. Industry structures and market related issues have substantial spill-over effects. The article reviews literature, and it establishes a learning model in which elements from organizational environments are included into a systematic conceptual framework. The model allows four types of learning to be identified: P-learning (professional/craft systems learning), T-learning (technology embedded learning), D-learning (dualistic learning systems, where part of the labor force
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Kaasbøll, Jens, Marlen Stacey Chawani, Gro Alice Hamre, and Jon Sandvand. "Competencies and Learning for Management Information Systems." Journal of Information, Information Technology, and Organizations (Years 1-3) 5 (2010): 085–100. http://dx.doi.org/10.28945/1323.

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35

Kraleva, Radoslava, Mehrudin Sabani, and Velin Kralev. "An Analysis of Some Learning Management Systems." International Journal on Advanced Science, Engineering and Information Technology 9, no. 4 (2019): 1190. http://dx.doi.org/10.18517/ijaseit.9.4.9437.

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YAREMKO, Svitlana, Olena KUZMINA, and Svitlana BEVZ. "DIRECTIONS OF DEVELOPMENT OF LEARNING MANAGEMENT SYSTEMS." Herald of Khmelnytskyi National University 302, no. 1 (2022): 252–55. http://dx.doi.org/10.31891/2307-5740-2022-302-1-42.

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The article considers the concept of a learning management system; examines the principles of a learning management system; highlights the features of Learning Management Systems; provides an analytical review of the most common learning management platforms. The article reveals a comparative analysis of both commercial and free integrated electronic management systems of the educational process with electronic management systems of their own development of higher educational institutions, as well as their functional capabilities in management educational process and their characteristics. Kno
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Titchiev, Inga, and Veronica Iamandi. "The analysis of learning management systems features." Akademos, no. 3(62) (January 2022): 113–19. http://dx.doi.org/10.52673/18570461.21.3-62.14.

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The successful implementation of e-Learning is based on the correct choice of software that meets the specific requirements and objectives of the organization. Thus, the purpose of this article is to review and analyze existing learning management systems (LMS), in order to use their potential in streamlining the learning process. To achieve this goal, the LMS assessment criteria were selected, the most popular open-source distance learning platforms were analyzed; the current LMS Integration capabilities were assessed. For the LMS analysis the following criteria were proposed: Functionality;
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Abdullah, Rusli, Shamsul Sahibudin, Rose Alinda Alias, and Mohd Hasan Selamat. "Collaborative Knowledge Management Systems for Learning Organisations." Journal of Information & Knowledge Management 04, no. 04 (2005): 237–45. http://dx.doi.org/10.1142/s0219649205001237.

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A knowledge management system (KMS) is a concept that can be used for creating knowledge repositories, improving knowledge access and sharing as well as communicating through collaboration, enhancing the knowledge environment and managing knowledge as an asset for an institution or organisation. In this paper, we propose a collaborative KMS framework for learning organisations (LOs) and discuss components in the framework that will help organisations to increase productivity and quality as well as to gain return on investment from a KMS. These components are KMS functionality, architecture, ta
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White, Meagan, and Teresa Shellenbarger. "Harnessing the Power of Learning Management Systems." Journal for Nurses in Professional Development 33, no. 3 (2017): 138–41. http://dx.doi.org/10.1097/nnd.0000000000000348.

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40

Hermann, Thomas, and Katharina Just-Hahn. "Organizational learning with flexible workflow management systems." ACM SIGOIS Bulletin 17, no. 3 (1996): 54–57. http://dx.doi.org/10.1145/242206.242316.

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de Porto Alegre Muniz, Maria Isabella, and Anamaria de Moraes. "Usability issues in Learning Management Systems (LMS)." Work 41 (2012): 832–37. http://dx.doi.org/10.3233/wor-2012-0250-832.

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42

Asrini, Hari Windu, Galih Wasis Wicaksono, and Budiono Budiono. "Curriculum Management Systems for Blended Learning Support." JOIV : International Journal on Informatics Visualization 7, no. 4 (2023): 2189. http://dx.doi.org/10.62527/joiv.7.4.1306.

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The ongoing COVID-19 has left some serious impacts on education, bringing academic activities to a halt, and restrictions have been in place to hamper the proliferation of the virus. The utilization of technology these days plays a vital role in assisting students in attending education online or blended learning and keeping academic activities running. However, limited learning management systems present a new problem in online learning, especially in higher education. Thus, a new information system is required to resolve this issue. This study aims to develop the Bauran information system to
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43

Brudan, Aurel. "Rediscovering performance management: systems, learning and integration." Measuring Business Excellence 14, no. 1 (2010): 109–23. http://dx.doi.org/10.1108/13683041011027490.

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44

Avogadro, Paolo, Silvia Calegari, and Matteo Alessandro Dominoni. "Expert students in social learning management systems." Interactive Technology and Smart Education 13, no. 3 (2016): 202–17. http://dx.doi.org/10.1108/itse-06-2016-0018.

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Purpose A social learning management system (social LMS) is a tool which favors social interactions and allows scholastic institutions to supervise and guide the learning process. The inclusion of the social feature to a “normal” LMS leads to the creation of educational social networks (EduSN), where the students interact and learn. The advantages derived from an augmented student-student interaction are counterbalanced by the difficulty to control the quality of the information. For this reason, the purpose of this study is to understand who is a source of reliable and high quality knowledge
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Shannon, Li-Jen Y., and Marilyn Rice. "Scoring the Open Source Learning Management Systems." International Journal of Information and Education Technology 7, no. 6 (2017): 432–36. http://dx.doi.org/10.18178/ijiet.2017.7.6.907.

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46

Cavus, Nadire, and Muhammed Sharif Alhih. "Learning Management Systems Use in Science Education." Procedia - Social and Behavioral Sciences 143 (August 2014): 517–20. http://dx.doi.org/10.1016/j.sbspro.2014.07.429.

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47

Cavus, Nadire, and Ala’a M. Momani. "Computer aided evaluation of learning management systems." Procedia - Social and Behavioral Sciences 1, no. 1 (2009): 426–30. http://dx.doi.org/10.1016/j.sbspro.2009.01.076.

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48

Alves da Silva, Nuno Sotero, Gonçalo Jorge Morais da Costa, Mary Prior, and Simon Rogerson. "The Evolution of E-learning Management Systems." International Journal of Cyber Ethics in Education 1, no. 3 (2011): 12–24. http://dx.doi.org/10.4018/ijcee.2011070102.

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The development of educational technologies is enhancing a distinctive feature of learning environments: the learner’s personalized environment. However, the current literature in e-learning seems to neglect an important discussion: will individuals (learners and lecturers) and organizations face an enhancement concerning ethical dilemmas due to this evolution? To promote this discussion, this paper builds on a consideration of e-learning definition and its ethical dilemmas, and human-centred learning concept and its dimensions, to examine the implications of integrating social and cultural co
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Handal, B., C. Groenlund, and T. Gerzina. "Dentistry students’ perceptions of learning management systems." European Journal of Dental Education 14, no. 1 (2010): 50–54. http://dx.doi.org/10.1111/j.1600-0579.2009.00591.x.

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Joh, HyunChul. "Modeling Security Vulnerabilities in Learning Management Systems." International Journal of Learning Management Systems 1, no. 2 (2013): 1–12. http://dx.doi.org/10.12785/ijlms/010201.

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