Smart Technological Learning Conceptual model

  • Authors

    • Cakula Sarma
    2018-05-16
    https://doi.org/10.14419/ijet.v7i2.28.12900
  • Individualized and personalized learning, virtual information system, knowledge sharing, learner advisory system

  • Abstract

    Lifelong learning in one of most important aspects of nowdays educational system, which is understood as continuation of the previously acquired education and the enrichment of the professional skills according to the demands of the vocation in question. It is very important to figure out the most effective technological solutions and principal directions for implementing work-based learning strategies in the learning process.  New smart learning individually oriented methodology has been developed based on human individual perception for fast growing information and big data society.

     

     

  • References

    1. [1] Baltic Institute of Social Sciences. (2006), Mūžizglītības pieejamība un iespējas izglītoties. Internet: http://www.biss.soc.lv/downloads/resources/muzizglitiba/muzizgl_latv.pdf, rev. 2014.

      [2] Žogla, I. (2002), Didaktikas teorētiskie pamati, Rīga: RaKa, 275 p., ISBN10: 9984153754.

      [3] LR Saeima. (2014) IzglÄ«tÄ«bas attÄ«stÄ«bas pamatnostÄdnes 2014. – 2020. gadam. Riga. Internet: http://m.likumi.lv/doc.php?id=266406.

      [4] Žogla, I. (2001), PedagoÄ£iskÄ paradigma un didaktiskais modelis

      [5] Kolb D. A. (1984), Experiental learning: experience as the source of learning and development. Englewood Cliffs, New Jersey: Prentice Hall.

      [6] Kolb, D.A. (1981), Learning styles and disciplinary differences In A.W. Chickering (Ed).The modern American college: Responding to the new realities of diverse students and a changing society San Francisco, CA: Jossey Bass, pp.232-255.

      [7] Kolb D. A. (2000), Facilitator`s guide to learning. Boston: Hay/MsBer.

      [8] LVS ISO 5127:2005. InformÄcija un dokumentÄcija. VÄrdnÄ«ca, InformÄcijas zinÄtnes termini.

      [9] Shatil E. (2013), Does combined cognitive training and physical activity training enhance cognitive abilities more than either alone? A four-condition randomized controlled trial among healthy older adults. Front. Aging Neurosci. 5:8. doi: 10.3389/fnagi.2013.00008.

      [10] Shatil E., Mikulecká J.a, Bellotti F., BurÄ›s V.(2014), “Novel Television-Based Cognitive Training Improves Working Memory and Executive Functionâ€. PLoS ONE July 03, 2014, 10.1371/journal.pone.0101472.

      [11] Gard T, Hölzel BK, Lazar SW. (2014), The potential effects of meditation on age-related cognitive decline: a systematic review. Ann N Y Acad Sci. 2014 Jan, 1307:89-103. doi: 10.1111/nyas.12348. 2.

      [12] Voss MW et al. (2010), Plasticity of brain networks in a randomized intervention trial of exercise training in older adults. Front Aging Neurosci. 2010 Aug 26,2. pii: 32. doi: 10.3389/fnagi.2010.00032

      [13] Verghese J, Mahoney J, Ambrose AF, Wang C, Holtzer R. .(2010) Effect of cognitive remediation on gait in sedentary seniors - J Gerontol A Biol Sci Med Sci. 2010 Dec,65(12):1338-43.

      [14] Shatil E, Korczyn AD, Peretzc C, et al. (2008), Improving cognitive performance in elderly subjects using computerized cognitive training - Alzheimer's & Dementia: The Journal of the Alzheimer's Association 2008; 4(4):T492.

      [15] Korczyn AD, Peretz C, Aharonson V, et al.(2007), “Computer based cognitive training with CogniFit improved cognitive performance above the effect of classic computer games: prospective, randomized, double blind intervention study in the elderlyâ€. Alzheimer's & Dementia: The Journal of the Alzheimer's Association 2007; 3(3):S171

      [16] Dreambox learning. (2017), Individualized Learning, http://www.dreambox.com/individualized-learning/ 2017.

      [17] Medium. The Office of Educational Technology (OET), 2017, https://medium.com/personalizing-the-learning-experience-insights/what-is-personalized-learning-bc874799b6f.

      [18] ÐугуÑтинавичюте Ð.(1998), Соционика. Введение – МоÑква: ÐКТ ÐÑтраль, 448 Ñ

      [19] Briggs Myers I., Briggs Myers P. (1995), Gifts Differing: Understanding Personality Type. Mountain View, CA: Davies-Black Publishing..

      [20] Briggs Myers I.; McCaulley, Mary H.; Quenk, Naomi L.(2009), Hammer, Allen L.; Mitchell, Wayne D. MBTI Step III Manual: Exploring Personality Development Using the Myers-Briggs Type Indicator Instrument, Consulting Psychologists Press.

      [21] Гуленко Ð’. (1999), Структурно – Ñ„ÑƒÐ½ÐºÑ†Ð¸Ð¾Ð½Ð°Ð»ÑŒÐ½Ð°Ñ Ñоционика – Киев: ТранÑпорт України, 187 Ñ.

      [22] Rodgers C. (2002), Defining Reflection: Another Look at John Dewey and Reflective Thinking. Teachers College Record , 2002, v104 n4, 842-848.

      [23] Rogers J. (1997), Sixteen personality types at work in organizations – London: Management Futures. 32 p.

      [24] Grant P., Basye D. A.(2014). Personalized Learning: Guide for Engaging Students with Technology, International Society for Technology in Education.

      [25] Jasper M. (2003), Beginning Reflective Practice,Cheltenham, NelsonThornes.

      [26] King T. (2002), Development of student skills in reflective writing . Proceedings of the 4Th World Conference of the International Consortium for Educational Development in Higher Education, 3-6 July.

      [27] Gravan, T., Morley M.(2013), Gunnigle P., Eammon C., Human capital accumulation: the role of human resource development.

      [28] Seufert, S. (2000), Work Based Learning and Knowledge Management: An Integrated Concept of Organizational Learning. ECIS 2000 Proceedings, p 148.

      [29] Koper, R. & Tattersall, C. (2005), “Preface to Learning Design: A Handbook on Modelling and Delivering Networked Education and Training.†Journal of Interactive Media in Education, 2005(18).

      [30] Silver, Harvey F.; Strong, Richard W.; Perini, Matthew J. (2007), The Strategic Teacher: Selecting the Right Research-Based Strategy for Every Lesson, Association for Supervision and Curriculum Development.

      [31] Silver F, Strong R, Perini M. (2000), So Each May Learn: Integrating Learning Styles and Multiple Intelligences. ASCD.

  • Downloads

  • How to Cite

    Sarma, C. (2018). Smart Technological Learning Conceptual model. International Journal of Engineering & Technology, 7(2.28), 152-156. https://doi.org/10.14419/ijet.v7i2.28.12900

    Received date: 2018-05-16

    Accepted date: 2018-05-16

    Published date: 2018-05-16