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Analysis of the relation between IT school design and the lack of teaching method based on digital competence

Published:18 October 2017Publication History

ABSTRACT

Built environment affect users such as educational spaces. In the last decades, people-environment research has detailed environmental, spatial and organizational factors that influence student outcome, motivation, attention and retention. This situation deals with the discomfort of students at school and their negative predisposition towards stay in educational places. For this reason, the objective of this research is to investigate IT classroom design such as a factor of attraction to learning spaces in Higher Education in order to help professionals related to educational building design and management.

References

  1. P. Neto, A. Vieira, L. Ribeiro, and L. Hussein. 2015. The e-learning café project of the University of Porto: innovative learning spaces, improving students' engagement in active and collaborative learning. From the field, eLearning papers, 34.Google ScholarGoogle Scholar
  2. N. El-Hilali, S. Al-Jaber, and L. Hussein. 2015. Student´s satisfaction and achievement and absorption capacity in Higher Education. Procedia- Social and Behavioral Sciences, 177, 420--427.Google ScholarGoogle ScholarCross RefCross Ref
  3. T. Mäkelä, M. Kankaanranta, & S. Helfenstein. (2014). Considering Learners´ Perceptions in designing effective 21st century Learning Environments for Basic Education in Finland. The International Journal of Educational Organization and Leadership, 20(3), 1--13.Google ScholarGoogle ScholarCross RefCross Ref
  4. P. Woolner, E. Hall, S. Higgins, C. McCaughey, and K. Wall. 2007. A sound foundation? What we know about the impact of environments on learning and the implications for Building Schools for the future. Oxford Review of Education, 33(1), 47--70.Google ScholarGoogle ScholarCross RefCross Ref
  5. Z. Zomorodian, M. Tahsildoost, and M. Hafezi. 2016. Thermal comfort in educational buildings: A review article. Renewable and sustainable energy reviews, 59, 895--906.Google ScholarGoogle Scholar
  6. J. Ruszala. 2008. The Condition of the High School Facilities in the Commonwealth of Virginia's Metropolitan School Divisions and the Relationship to Teacher Satisfaction. Tesis doctoral. Washington, DC: George Washington University.Google ScholarGoogle Scholar
  7. M.M. Muñoz-Cantero, R. García Mira, and V. López-Chao. 2016. Influence of Physical Learning Environment in Student's Behavior and Social Relations. Anthropologist, 25(3), 249-253Google ScholarGoogle ScholarCross RefCross Ref
  8. J. Boys. 2011. Where is the Theory? En B. y. (Eds.), Re-shaping Learning: A critical reader (págs. 49-68). Rotterdam: SenseGoogle ScholarGoogle Scholar
  9. A. Whiteside, D. Brooks, and J. Walker. 2010. Making the Case for Space: Three Years of Empirical Research on Learning Environments. Educause Quarterly, 33(3).Google ScholarGoogle Scholar
  10. R. Junco, C. Elavsky, and G. Heiberger. 2013. Putting twitter to the test: Assessing outcomes for student collaboration, engagement and success. British Journal of Educational Technology, 44(2), 273-287Google ScholarGoogle ScholarCross RefCross Ref
  11. O. Istrate. (2013). Resurse si aplicatii online. Material suport pentru cursurile: Instruire asistata de calculator, Medii virtuale de instruire. Bucuresti: Blended Learning.Google ScholarGoogle Scholar
  12. E. Turan, E. Tinmaz, and E. Goktas, 2013. The Reasons for Non-Use of Social Networking Websites by University Students. Comunicar, 137--145.Google ScholarGoogle Scholar
  13. N. Duta, and O. Martínez-Rivera. 2015. Between theory and practice: the importance of ICT in Higher Education as a tool for collaborative learning. Procedia- Social and Behavioral Sciences, 180, 1466-1473, 10.1016/j.sbspro.2015.02.294Google ScholarGoogle ScholarCross RefCross Ref
  14. N. El-Hilali, S. Al-Jaber, and L. Hussein. 2015. Student´s satisfaction and achievement and absorption capacity in Higher Education. Procedia- Social and Behavioral Sciences, 177, 420-427.Google ScholarGoogle ScholarCross RefCross Ref
  15. V. López-Chao. 2016. El impacto del diseño del espacio y otras variables socio-físicas en el proceso de enseñanza-aprendizaje. Doctoral thesis. A Coruña: University of A CoruñaGoogle ScholarGoogle Scholar
  16. H. L. Daniels. 2007. Learning in and for Multiagency Working. Oxford Review of Education, 34(4), 521-538Google ScholarGoogle ScholarCross RefCross Ref
  17. M. M. Muñoz-Cantero, R. García Mira, and V. López-Chao. 2016. Attraction factors into space as a required element of physical learning environment. A review. New Trends and Issues Proceedings in Humanities and Social Sciences, 11, 130-136.Google ScholarGoogle Scholar
  18. M. King-Sears. 2009. Universal design for learning: technology and pedagogy. Learning Disability Quarterly, 32(4), 199--201Google ScholarGoogle ScholarCross RefCross Ref
  19. A. Macdonald, T. Hjartarson, and T. Jóhannsdóttir. 2005. Upplýsinga- og samskiptatækni í starfi grunnskóla: Af sjónarhóli skólastjórnenda og tölvuumsjónarmanna. Information and Communication Technology in Compulsory Schools. Views of Administrative StaffGoogle ScholarGoogle Scholar

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    • Published in

      cover image ACM Other conferences
      TEEM 2017: Proceedings of the 5th International Conference on Technological Ecosystems for Enhancing Multiculturality
      October 2017
      723 pages
      ISBN:9781450353861
      DOI:10.1145/3144826

      Copyright © 2017 ACM

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      Publication History

      • Published: 18 October 2017

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      Acceptance Rates

      TEEM 2017 Paper Acceptance Rate84of109submissions,77%Overall Acceptance Rate496of705submissions,70%

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