Main Article Content
Abstract
In Colombia, a developing country, higher education has a gross coverage rate of about 40% (supply concerning the entire population). However, although this value is low, ten years ago this rate barely exceeded 20%. The increase in coverage is largely due to a policy that has promoted training by cycles. This model allows education by levels with the granting of professional degrees at each stage, which allows for rapid employment. Even so, places are limited, particularly for medium and low economic levels (which concentrate the majority of the population), and access to them in public universities (those with state-funded enrolment) is very restricted. Access to education is a major concern for institutions and the state, in particular for vulnerable social groups, and has been further depressed by the security and control measures implemented to slow down the spread of the COVID-19 virus. In a short time, and with limited resources, institutions have had to adapt their models to guarantee continuity and quality in academic processes. In this context, digital platforms have come to play a fundamental role by allowing access while reducing social interaction. However, the use of these platforms implies the development of specific learning environments adapted to academic, economic, and social conditions. This paper explores the design, development, and impact of some of these learning environments in the process of technological training of students from low economic strata in the most important public university in the Colombian capital...
Keywords
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The author declares that the submitted to Journal of e-Learning and Knowledge Society (Je-LKS) is original and that is has neither been published previously nor is currently being considered for publication elsewhere.
The author agrees that SIe-L (Italian Society of e-Learning) has the right to publish the material sent for inclusion in the journal Je-LKS.
The author agree that articles may be published in digital format (on the Internet or on any digital support and media) and in printed format, including future re-editions, in any language and in any license including proprietary licenses, creative commons license or open access license. SIe-L may also use parts of the work to advertise and promote the publication.
The author declares s/he has all the necessary rights to authorize the editor and SIe-L to publish the work.
The author assures that the publication of the work in no way infringes the rights of third parties, nor violates any penal norms and absolves SIe-L from all damages and costs which may result from publication.
The author declares further s/he has received written permission without limits of time, territory, or language from the rights holders for the free use of all images and parts of works still covered by copyright, without any cost or expenses to SIe-L.
For all the information please check the Ethical Code of Je-LKS, available at http://www.je-lks.org/index.php/ethical-code
References
- Arias, C., Ruiz, N., & Henao, H. (2012). Advantages in propaedeutic cycles university technological and engineering programs for the development of formative research on solar projects. Journal of Fundamentals of Renewable Energy and Applications, 2, 1-4. https://www.longdom.org/open-access/advantages-in-propaedeutic-cycles-university-technological-and-engineering-programs-for-the-development-of-formative-research-on-solar-projects-2090-4541-2-113.pdf
- Arooj, A., Farooq, M., Umer, T., Rasool, G., & Wang, B. (2020). Cyber physical and social networks in iov (cpsn-iov): A multimodal architecture in edge-based networks for optimal route selection using 5g technologies. IEEE Access, 8, 33609-33630. https://ieeexplore.ieee.org/abstract/document/8995602
- Awofeso, N., & Bamidele, M. (2016). Efficient instructor feedback: Perceptions of online uae undergraduate and postgraduate public health learners. In (Vol. 2016-January, p. 1-12). https://search.proquest.com/openview/a1c698287ae1cc0d17f89a06efd30f3b/1?pq-origsite=gscholar&cbl=1796414
- Bright, S. (2012). Elearning lecturer workload: Working smarter or working. https://core.ac.uk/download/pdf/29200446.pdf
- Cho, S., & Kim, J.-G. (2016). E-learning based on internet of things. Advanced Science Letters, 22(11), 3294-3298. https://www.ingentaconnect.com/contentone/asp/asl/2016/00000022/00000011/art00023
- Choi, S.-G., & Cho, S.-B. (2018). Sensor information fusion by integrated ai to control public emotion in a cyber-physical environment. Sensors (Switzerland), 18(11). https://www.researchgate.net/publication/328753787_Sensor_Information_Fusion_by_Integrated_AI_to_Control_Public_Emotion_in_a_Cyber-Physical_Environment
- Halimi, W., Salzmann, C., Jamkojian, H., & Gillet, D. (2018). Enabling the automatic generation of user interfaces for remote laboratories. Lecture Notes in Networks and Systems, 22, 778-793. https://www.researchgate.net/publication/319683535_Enabling_the_Automatic_Generation_of_User_Interfaces_for_Remote_Laboratories
- Hayes, A., & Johnson, K. (2019). Cultural embodiment in virtual reality education and training: A reflection on representation of diversity. Lecture Notes in Educational Technology, 93-96. https://www.researchgate.net/publication/331767327_Cultural_Embodiment_in_Virtual_Reality_Education_and_Training_A_Reflection_on_Representation_of_Diversity
- Huang, X. (2020). Construction and application of online course teaching in intelligent learning environment. Advances in Intelligent Systems and Computing, 1146 AISC, 702-709. https://www.researchgate.net/publication/340029710_Construction_and_Application_of_Online_Course_Teaching_in_Intelligent_Learning_Environment
- Jacinto, E., Martínez, F., & Martínez, F. (2016). Learning strategies for cryptography using embedded systems. In Smart education and e-learning 2016 (p. 495-505). Springer International Publishing. https://link.springer.com/chapter/10.1007/978-3-319-39690-3_44
- Jirón, M. (2014). Technology, engineering and formation cycles. Revista Tecnura, 18(40), 71-88. https://revistas.udistrital.edu.co/index.php/Tecnura/article/view/6976
- Jotikabukkana, P., & Sornlertlamvanich, V. (2019). The holistic framework of using machine learning for an effective incoming cyber threats detection. Frontiers in Artificial Intelligence and Applications, 321, 363-380. https://ebooks.iospress.nl/volumearticle/53710
- Kang, C., Oh, Y., & Woo, W. (2009). An architecture for flexible entity configuration in a simulation environment. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5670 LNCS, 38-48. https://link.springer.com/chapter/10.1007/978-3-642-03364-3_5
- Kargutkar, S., & Chitre, V. (2020). A study of cyberbullying detection using machine learning techniques. In Fourth International Conference on Computing Methodologies and Communication (ICCMC 2020). (p. 734-739). https://ieeexplore.ieee.org/abstract/document/9076550
- Kim, D., & Kim, S. (2014). Design of smart learning system based on AR-APM. International Journal of Multimedia and Ubiquitous Engineering, 9(6), 119-126. https://www.researchgate.net/publication/273909355_Design_of_smart_learning_system_based_on_AR-APM
- Kim, J.-H., Park, J., Cho, T., & Kim, S. (2012). Real objects tracking approaches encouraging outdoor activities. Advances in Information Sciences and Service Sciences, 4(4), 159-166. https://www.researchgate.net/publication/276004694_Real_Objects_Tracking_Approaches_Encouraging_Outdoor_Activities
- Kim, Y., Cho, S., & Chong, I. (2014). Standardization on framework and scenarios for self-directed ubiquitous learning (y.fsul). In 16th International Conference on Advanced Communication Technology. (p. 425-430). https://ieeexplore.ieee.org/document/6778996
- Krystle, P. (2016). Students' Perceptions of Learner-Learner Interactions that Weaken a Sense of Community in an Online Learning Environment. In Online Learning. 20(4), 13-33. https://www.researchgate.net/publication/311735100_Students'_Perceptions_of_Learner-Learner_Interactions_that_Weaken_a_Sense_of_Community_in_an_Online_Learning_Environment
- Laberge, S., & Lin, F. (2015). Simulated learners for testing agile teaming in social educational games. In 17th International Conference on Artificial Intelligence in Education (AIED 2015). (Vol. 1432, p. 65-77). https://www.semanticscholar.org/paper/Simulated-Learners-for-Testing-Agile-Teaming-in-Laberge-Lin/e348277002228adeeac1c479b722c2e88e373245
- Liu, D., Huang, R., & Wosinski, M. (2016). Contexts of smart learning environments. Lecture Notes in Educational Technology (9789811043420), 15-29. https://link.springer.com/chapter/10.1007/978-981-10-4343-7_2
- Martínez, F., Montiel, H., & Jacinto, E. (2016). Inductive teaching and problem-based learning as significant training tools in electrical engineering. In Smart education and e-learning 2016 (p. 179-188). Springer International Publishing. https://link.springer.com/chapter/10.1007/978-3-319-39690-3_16
- Matsumoto, S., & Kashima, T. (2012). Development of micro-blog based discussion environment for participants in university lecture. In International MultiConference of Engineers and Computer Scientists IMECS 2012. (Vol. 2196, p. 1491-1494). https://www.semanticscholar.org/paper/Development-of-MicroBlog-Based-Discussion-for-in-Matsumoto-Kashima/18c84cb65236cbe534bfe88d75731feb739ba9eb
- Moreira, J. (2017). A pedagogical model to deconstruct moving pictures in virtual learning environments and its impact on the self-concept of postgraduate students. Journal of e-Learning and Knowledge Society. 13(1). 77-90. DOI: https://doi.org/10.20368/1971-8829/1255. https://www.researchgate.net/publication/313576092_A_Pedagogical_Model_to_Deconstruct_Moving_Pictures_in_Virtual_Learning_Environments_and_its_Impact_on_the_Self-concept_of_Postgraduate_Students
- Ospina, Y., & Galvis, J. (2017). A novel design of an e-learning digital ecosystem. Tekhnê, 14(1), 55-60. https://revistas.udistrital.edu.co/index.php/tekhne/article/view/14745
- Perez, A., Mena, A., Hoyos, G., & Perez, B. (2010). A knowledge based analytical model of propaedeutic cycles for higher education: Linking with media education in colombia. In IEEE EDUCON 2010 conference (p. 281-286). https://ieeexplore.ieee.org/document/5492566
- Raga, R., & Raga, J. (2018). A comparison of college faculty and student class activity in an online learning environment using course log data. In IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). (p. 1-6). https://ieeexplore.ieee.org/document/8397475
- Sánchez, A., & De Los Ríos, J. (2015). Educational software for teaching of colors used in children under the age of five years. Tekhnê, 12(2), 65-74. https://revistas.udistrital.edu.co/index.php/tekhne/article/view/10661
- Wang, C., Prasad, P., Maag, A., Alsadoon, A., Elchouemi, A., & Sreedharan, S. (2017). The effect of considering individual learning processes when creating online learning environments: A comparison of offline and online content materials. In IEEE Region 10 Symposium (TENSYMP 2017). https://ieeexplore.ieee.org/document/8070017
- Wang, Y. (2019). An approach of russian online learning behavior analysis and mining based on big data. In International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS 2019). (p. 232-235). https://ieeexplore.ieee.org/document/8669514
- Wood, R. (2006). Mobile learning and initial teacher education. In WIT Transactions on Information and Communication Technologies. (Vol. 36, p. 51-60). https://www.researchgate.net/publication/38178134_Mobile_learning_in_initial_teacher_education
- Zhao, F. (2020). Application of streaming media on demand technology in the visual classroom teaching of college english. Advances in Intelligent Systems and Computing, 1117 AISC, 1626-1631. https://link.springer.com/chapter/10.1007/978-981-15-2568-1_227
- Zhu, M., Sun, Z., Zhang, Z., Shi, Q., He, T., Liu, H., et al. (2020). Haptic-feedback smart glove as a creative human-machine interface (hmi) for virtual/augmented reality applications. Science Advances, 6(19). https://advances.sciencemag.org/content/6/19/eaaz8693