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The Prospects of E-Learning in School Education

Amani M. Albarkati. Published in Information Sciences

International Journal of Applied Information Systems
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Amani M. Albarkati
10.5120/ijais2016451554
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  1. Amani M Albarkati. The Prospects of E-Learning in School Education. International Journal of Applied Information Systems 10(10):1-6, May 2016. URL, DOI BibTeX

    @article{10.5120/ijais2016451554,
    	author = "Amani M. Albarkati",
    	title = "The Prospects of E-Learning in School Education",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "May 2016",
    	volume = 10,
    	number = 10,
    	month = "May",
    	year = 2016,
    	issn = "2249-0868",
    	pages = "1-6",
    	numpages = 6,
    	url = "http://www.ijais.org/archives/volume10/number10/894-2016451554",
    	doi = "10.5120/ijais2016451554",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

The main and one of the curriculum or prospectus goals of e-learning in school edification is to cultivate apprentices for 21st century aptitudes through their consistently erudition works out. From previous studies in the related fields demonstrates that K-12 schools should take in e-learning sense of how to extend learning odds of apprentices/students for the change of 21st century aptitudes. Six examination problems vital for e-learning in school education has been perceived, to be particular the affirmation of making 21st century aptitudes of apprentices; the traverse or bridging of the gap/breach between instructive modules in school and circumstances in general society eye; the enhancement of learning prospects in the learning development; the amassing of evidence of progress and constructing cognizance of headway; the evaluation of 21st century capacities; and the acquisition of educator transformation for enculturating learners to make 21st century capacities and aptitudes. Several other authors applaud the huge accomplices across over different countries to ponder strategies on the target setting of curriculum or instructive projects tending to 21st century aptitudes revolution and associating fissure amidst society and school; on the convenience of ICT for school edification; on the security concerns of learning data in e-learning process; and on the pre-service or in-service educator/instructor progression. In this paper we discuss the investigation concerns and strategy insinuations or suggestions essential for realizing such an instructive projects objective.

Reference

  1. Padilla, M, Inquiry, process skills, and thinking in science. Science and Children, 48(2), 8-9, (2010).
  2. Trilling et al, 21st century skills: Learning for life in our times. San Francisco, CA: Jossey-Bass (2009).
  3. Saavedra et al, Learning 21st-century skills requires 21st-century teaching. Phi Delta Kappan, 94(2), 8-13, (2012).
  4. Szewkis et al, Collaboration within large groups in the classroom. International Journal of Computer-Supported Collaborative Learning, 6(4), 561-575, (2011).
  5. Hoffman, J, What we can learn from the first digital generation: Implications for developing twenty-first century learning and thinking skills in the primary grades. Education 3-13, 38(1), 47-54, (2010).
  6. Rotherham et al, 21st Century Skills: The challenges ahead. Educational Leadership, 67(1), 16-21, (2009).
  7. Claro et al, Assessment of 21st century ICT skills in Chile: Test design and results from high school level students. Computers and Education, 59(3), 1042-1053, (2012).
  8. Gut, D. M, Integrating 21st century skills into the curriculum. In G. Wan & D. M. Gut (Eds.), Bringing schools into the 21st Century (pp. 137-157). Dordrecht; New York: Springer, (2011).
  9. Hoppe, H. U, Integrating learning processes across boundaries of media, time and group scale. Research and Practice in Technology Enhanced Learning, 2(1), 31-49, (2007).
  10. Alvarez et al, Collboard: Fostering new media literacies in the classroom through collaborative problem solving supported by digital pens and interactive whiteboards. Computers and Education, 63, 368-379, (2013).
  11. So, W. W. M, Creating a framework of a resource-based e-learning environment for science learning in primary classrooms. Technology, Pedagogy and Education, 21(3), 317-335, (2012).
  12. Chan, T. W et al, How East Asian classrooms may change over the next 20 years. Journal of Computer Assisted Learning, 26(1), 28-52, (2010).
  13. Kong, S. C, An evaluation study of the use of a cognitive tool in a one-to-one classroom for promoting classroom-based dialogic interaction. Computers and Education, 57(3), 1851-1864, (2011).
  14. Cox, M. J, Formal to informal learning with IT: Research challenges and issues for e-learning. Journal of Computer Assisted Learning, 29(1), 85-105, (2013).
  15. Huang et al, Frontiers of learning technology in a global context. Berlin/Heidelberg, Germany: Springer, (2013).
  16. Milrad et al, Seamless learning: An international perspective on next generation technology enhanced learning. In Z. L. Berge & L. Y. Muilenburg (Ed.), Handbook of mobile learning (pp. 95-108). New York, NY: Routledge, (2013).
  17. Otero et al, Challenges in designing seamless learning scenarios: Affective and emotional effects on external representations. International Journal of Mobile Learning and Organisation, 5(1), 15-27, (2011).
  18. Wong et al, What seams do we remove in mobile assisted seamless learning? A critical review of the literature. Computers and Education, 57(4), 2364-2381, (2011).
  19. Kicken et al, Design and evaluation of a development portfolio: How to improve students’ self-directed learning skills. Instructional Science, 37(5), 453-473, (2009).
  20. Norris et al, A disruption is coming: A primer on the mobile technology revolution. In A. Druin (Ed.), Mobile technology for children: Designing for interaction and learning (pp. 125-139). Amsterdam, The Netherlands: Elsevier Inc, (2009).
  21. Caballero et al, The effects of whole-class interactive instruction with single display groupware for triangles. Computers and Education, 70, 203-211 (2014).
  22. Sims, R, Interactivity and feedback as determinants of engagement and meaning in e-learning environments. In S. Naidu (Ed.), Learning and teaching with technology: Principles and practices (pp. 243-257). Sterling, VA: Kogan Page (2003).
  23. Van Merriënboer et al, Toward a synthesis of cognitive load theory, four-component instructional design, and self-directed learning. Educational Psychology Review, 21(1), 55-66, (2009).
  24. Herrington et al, Authentic learning supported by technology: Ten suggestions and cases of integration in classrooms. Educational Media International, 44(3), 219-236, (2007).
  25. Niederhauser et al, Addressing the nets for students through constructivist technology use in K-12 classrooms. Journal of Educational Computing Research, 34(1), 91-128, (2009).
  26. Zualkernan, I. A, A framework and a methodology for developing authentic constructivist e-Learning environments, (2006).
  27. Kong, S. C et al, A principle-based pedagogical design framework for developing constructivist learning in a seamless learning environment: A teacher development model for learning and teaching in digital classrooms. British Journal of Educational Technology, 44(6), E209-212, (2013).
  28. Nussbaum et al, Special section: Classroom orchestration. Computers and Education, 69, 485-526, (2013).
  29. Dillenbourg, P, Design for classroom orchestration. Computers and Education, 69, 485-492. Ferguson, R. (2012). Learning analytics: Drivers, developments and challenges. International Journal of Technology Enhanced Learning, 4(5/6), 304-317, (2013).
  30. Herrington et al, Authentic tasks online: A synergy among learner, task, and technology. Distance Education, 27(2), 233-247, (2006).
  31. Herrington et al, Immersive learning technologies: Realism and online authentic learning. Journal of Computing in Higher Education, 19(1), 80-99, (2007).
  32. Long, P et al, Penetrating the fog: Analytics in learning and education. Educause Review, 46(5), 30-41, (2011).
  33. West, D. M, Big data for education: Data mining, data analytics, and web dashboards. Governance Studies at Brookings, 1-10. Educational Technology and Society, 9(2), 198-212 (2012)
  34. Ferguson, R, Learning analytics: Drivers, developments and challenges. International Journal of Technology Enhanced Learning, 4(5/6), 304-317 (2012).

Keywords

E-learning, School Education, Strategies, Guidelines