A framework for designing applications to support knowledge construction on learning ecosystems

Pedro David Netto Silveira, Davidson Cury, Crediné Silva de menezes 

pp.  158 - 178, download

(https://doi.org/10.55612/s-5002-052-009)

 

 

Abstract

  

We are building a society increasingly immersed in digital contexts. In this transformation process, mainly because of the daily use of technology, several contexts of our lives are changing, including education and the school itself, which have especially received IT support to be carried out in an informal and personalized way. Learning ecosystems, if properly promoted, could be a partner of this school. In this paper, we propose a Framework to support the modeling of Smart Learning Environments (SLE) capable of stimulating interactions (including location-based interactions) in the diverse ecosystems in which we participate and thus support the construction of knowledge. We also present some SLEs designed with the Framework to demonstrate the practical result of its use and others for validation purposes.  

 

Keywords: Learning Ecosystem, Framework, Smart Learning Environments. 

 

 

References

 

1. Binali, H. H.; Wu, C.; Potdar, V. A new significant area: Emotion detection in e-learning using opinion mining techniques. In: 3rd IEEE international conference on digital ecosystems and technologies. pp. 259–264. IEEE (2009). https://doi.org/10.1109/DEST.2009.5276726

2. Basri, S., Murugan, T., Dominic, D.D.: Validating the Conceptual Framework with Exploratory Testing. In: Computer Science On-line Conference, pp. 305-317. (2019) https://doi.org/10.1007/978-3-030-19807-7_30

3. Bateson, g., Longo, G.: Verso un’ecologia della mente. Adelphi, (2000)

4. Burstein, J. Opportunities for natural language processing research in education. In:  Intelligent Text Processing and Computational Linguistics. pp. 6–27,  (2009). https://doi.org/10.1007/978-3-642-00382-0_2

5. Chen, N.S., Cheng, I.L., Chew, S.W. Evolution is not enough: Revolutionizing current learning environments to smart learning environments. International Journal of Artificial Intelligence in Education, 26.2, pp. 561-581 (2016) https://doi.org/10.1007/s40593-016-0108-x

6. Chen, L., Chen, P., Lin, Z. Artificial intelligence in education: a review. IEEE Access, 8, pp. 75264–75278, IEEE (2020). https://doi.org/10.1109/ACCESS.2020.2988510

7. Chiu, D. K. A script language for generating internet-bots. In: 12th International Workshop on Database and Expert Systems Applications. pp. 667–671. IEEE (2001).

8. D'Roza, T., Bilchev, G.: An overview of location-based services. BT Technology Journal 21.1 pp 20-27 (2003) https://doi.org/10.1023/A:1022491825047

9. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly. pp. 319-340 (1989) https://doi.org/10.2307/249008

10. Devedzic, V. Web intelligence and artificial intelligence in education. Educational technology & society, 7.4, pp. 29–39, JSTOR (2004).

11. Ficheman, I.K.: Ecossistemas digitais de aprendizagem: autoria, colaboração, imersão e mobilidade, São Paulo. Universidade de São Paulo. Phd Thesis (2008)

12. Germain, c.b., Gitterman, A.: Ecological perspective. Encyclopedia of social work, 1, pp. 816–824 (1995)

13. Jabareen, Y.: Building a conceptual framework: philosophy, definitions, and procedure. International journal of qualitative methods. pp. 49–62 (2019)

https://doi.org/10.1177/160940690900800406

14. Mealha, Ó. Citizen-driven dashboards in smart ecosystems: a framework. IxD&A, 31.1, pp. 32–42 (2016).

15. Kolvoord, R., Keranen, K., Rittenhouse, P. Applications of location-based services and mobile technologies in k-12 classrooms. International Journal of Geo-Information, Multidisciplinary Digital Publishing Institute, 6.7, pp. 209 (2017).

https://doi.org/10.3390/ijgi6070209

16. Martínez J.A.: Economia ecológica. Universidade Federal do Rio Grande do Sul, Programa de Pós-Graduação em Economia (1996)

17. Martins, V.F. et al. A Smart Ecosystem for Learning and Inclusion: An Architectural Overview. In International Conference on Computational Science and Its Applications, pp. 601-616. Springer, Cham (2020) https://doi.org/10.1007/978-3-030-58799-4_44

18. Ouf, S., Ellatif, M., Salama, S.E, Helmy, Y.: A proposed paradigm for smart learning environment based on semantic web. Computers in Human Behavior, pp. 796-818. (2017) https://doi.org/10.1016/j.chb.2016.08.030

19. Perret-Clermont, A.: Desenvolvimento da inteligência e interação social (e. godinho, trans.). Lisboa: Instituto Piaget (1978)

20. Mars, M.M., Bronstein, J.L., Lusch, R.F. The value of a metaphor: Organizations and ecosystems. Organizational Dynamics, 41.4, pp. 271-280. (2012).

https://doi.org/10.1016/j.orgdyn.2012.08.002

21. Picard, R W., Healey, J.: Affective wearables. Personal Technologies, pp. 231-240 .(1997) https://doi.org/10.1007/BF01682026

22. Ramos, J.: Using tf-idf to determine word relevance in document queries. In: First instructional conference on machine learning, 242.1. (2003)

23. Redecker, C., Leis, M., Leendertse, M., Punie, Y., Gijsbers, G., Kirschner, P., Stoyanov, S., Hoogveld, B.: The future of learning: Preparing for change. JRC. (2011)

24. Richardson, A. An ecology of learning and the role of elearning in the learning environment. Global Summit of Online Knowledge Networks, pp. 47–51 (2002)

25. Silveira, P.D.N, Cury, D., Menezes C.S, Santos, O.L: Analysis of classifiers in a predictive model of academic success or failure for institutional and trace data. In: IEEE Frontiers in Education Conference (FIE), pp. 1-8, IEEE. (2019) 

https://doi.org/10.1109/FIE43999.2019.9028618

26. Silveira, P.D.N., Cury, D., Menezes, C.S. Superando fronteiras da educação com ecossistemas de aprendizagem. In: Brazilian Symposium on Computers in Education, pp. 209-218, 30.1 (2019) https://doi.org/10.5753/cbie.sbie.2019.209

27. Silveira, P.D.N., Cury, D., Menezes, C.S. Ecossistemas de aprendizagem: Em busca da atenuação das limitações da escola instrucionista. In: Filho, P.M.A. et al. (Ed.). Educação 4.0: Tecnologias educacionais. Cap 9. São Luis - MA: Ed. Pascal, pp. 103-124 (2020)

28. Silveira, P.D.N., Cury, D., Menezes, C.S. Um framework para concepção de Smart Learning Environments. RENOTE, pp. 21-30, 18.2, (2020) https://doi.org/10.22456/1679-1916.110193

29. Spector, J.M.: Smart learning environments: Concepts and issues. In: Society for Information Technology & Teacher Education International Conference, pp. 2728–2737. AACE. (2016)

30. Teo, T.: Modelling technology acceptance in education: A study of pre-service teachers. Computers & Education 52.2, pp. 302-312 (2009)

https://doi.org/10.1016/j.compedu.2008.08.006

31. Vassiliadis, P.: A survey of extract–transform–load technology. International Journal of Data Warehousing and Mining (IJDWM), 5.3, pp. 1-27 (2009)

https://doi.org/10.4018/jdwm.2009070101

32. Timms, M.J. Letting artificial intelligence in education out of the box: educational cobots and smart classrooms. International Journal of Artificial Intelligence in Education, Springer, 26.2, pp. 701–712 (2016). https://doi.org/10.1007/s40593-016-0095-y

33. Wangoo, D.P.,  Reddy, S.R.N.: Smart Learning Environments Framework for Educational Applications in IoT Enabled Educational Ecosystems: A Review on AI based GUI Tools for IoT Wearables. 2020 In: India Council International Conference. IEEE, (2020). https://doi.org/10.1109/INDICON49873.2020.9342150

34. Wilson, K.L., Lizzio A., Ramsden, P.: The development, validation and application of the Course Experience Questionnaire. Studies in higher education 22.1, pp. 33-53 (1997) https://doi.org/10.1080/03075079712331381121

35. Yussiff, A.S., Ahmad, W.F.W., Mustapha, E.E. Testing and validating a conceptual framework for e-collaboration in an undergraduate course. In: International Symposium on Mathematical Sciences and Computing Research. IEEE, pp. 249-254 (2015) https://doi.org/10.1109/ISMSC.2015.7594061

36. Bisdikian, C, Christensen, J., Davis, J., Ebling, M.R., Hunt, G., Jerome, W., Lei, H., Maes, E., Sow, D. Enabling location-based applications. In: Proceedings of the 1st international workshop on Mobile commerce. pp. 38–42, (2001). https://doi.org/10.1145/381461.381468

37. Hsiao, H.S., Lin, C.C., Feng, R.T., Li, K.J. Location based services for outdoor ecological learning system: design and implementation. Journal of Educational Technology & Society. JSTOR 13.4, pp. 98-111 (2010).

38. Chang, C. Y., Sheu, J. P., Chan, T. W. Concept and design of ad hoc and mobile classrooms. Journal of computer assisted Learning. 19.3, pp. 336-346. (2003). https://doi.org/10.1046/j.0266-4909.00035.x

39. Feng, R.T. The study of implementation and application for context awareness mobile outdoor leaning ecosystem. Master’s thesis, National Normal University, Taiwan. (2007).

40. Ford, P. M. Principles and practices of outdoor/environmental education. Wiley. (1981).

41. Costa, E., Baker, R. S., Amorim, L., Magalhães, J., Marinho, T.. Mineração de dados educacionais: conceitos, técnicas, ferramentas e aplicações. Jornada de Atualização em Informática na Educação, 1.1, pp. 1–29, (2013). https://doi.org/10.5753/CBIE.JAIE.2013.57

42. Zhao, B. Web scraping. Encyclopedia of big data. Springer (2017). https://doi.org/10.1007/978-3-319-32001-4_483-1

43. Horn, M.S., Crouser, R.J., Bers, M.U. Tangible interaction and learning: the case for a hybrid approach. Personal and Ubiquitous Computing, 16.4, pp. 379-389 (2012) https://doi.org/10.1007/s00779-011-0404-2

44. Sabry, K., Baldwin, L. Web‐based learning interaction and learning styles. British Journal of Educational Technology, 34.4, p. 443-454 (2003) https://doi.org/10.1111/1467-8535.00341

45. Webb, N.M. Peer interaction and learning in small groups. International journal of Educational research, 13.1, pp. 21-39. (1989). https://doi.org/10.1016/0883-0355(89)90014-1

46. Scardamalia, M., Bereiter, C.. Computer support for knowledge-building communities. The journal of the learning sciences, 3.3, pp. 265-283. (1994) https://doi.org/10.1207/s15327809jls0303_3

47. Hevner, A. R., March, S. T., Park, J., Ram, S. Design science in information systems  

 

back to Table of Contents

News