Abstract
Most educators focus on products (e.g., exams, portfolios, tests, assessments) rather than processes, i.e., the tangible cognitive/intellectual development during a learning activity. Nevertheless, the present book has placed emphasis mainly upon the characterization of the online instructional process, in order to scientifically analyze the opinions and actions (trends, profiles and modeling perspectives) of the users of the LMS Moodle in b-learning mode.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abdelraheem, A.Y. (2012). Interactions quality in Moodle as perceived by learners and its relation with some variables. Turkish Online Journal of Distance Education-TOJDE, 13(3) Article 25. http://tojde.anadolu.edu.tr/tojde48/articles/article_25.htm.
Abraham, A. (2005). Adaptation of fuzzy inference system using neural learning, fuzzy system engineering: theory and practice. In N. Nedjah, & L. de Macedo Mourelle (Eds.), Studies in Fuzziness and Soft Computing (ch. 3, pp. 53–83). Berlin, Heidelberg: Springer-Verlag.
Appana, S. (2008). A Review of Benefits and Limitations of Online Learning in the Context of the Student, the Instructor and the Tenured Faculty. International Journal on E-Learning., 7(1), 5–22.
Atanassov, K. T. (1999). Intuitionistic Fuzzy Sets. Heidelberg, New York: Physica-Verlag.
Atanassov, K. T. (2012). On intuitionistic fuzzy sets theory. In J. Kacprzyk (Ed.), Series: Studies in Fuzziness and Soft Computing (Vol. 283). Berlin, Heidelberg: Springer-Verlag.
Badge, J.L., Cann, A.J., & Scott, J. (2005). e-Learning versus e-Teaching: Seeing the Pedagogic Wood for the Technological Trees. Bioscience Education e-Journal, 5. http://www.bioscience.heacademy.ac.uk/journal/vol5/beej-5-6.aspx.
Bates, A. W. T., & Sangrà, A. (2011). Managing Technology in Higher Education: Strategies for Transforming Teaching and Learning. San Francisco, CA: Jossey-Bass.
Beyer, S., Meek, A., Kilsby, M., & Perry, J. (2007). The TATE [Through Assistive Technology to Employment] Project: Outcomes of the TATE Project for people with learning disabilities and staff. Journal of Assistive Technologies, 2(3), 2–65.
Bliuc, A.-M., Goodyear, P., & Ellis, R. A. (2007). Research focus and methodological choices in studies into students’ experiences of blended learning in higher education. The Internet and Higher Education, 10(4), 231–244.
Bonk, C., & Graham, C. R. (2006). Handbook of blended learning: Global perspectives, local designs. San Francisco, CA: Pfeiffer Publishing.
Bronfenbrenner, U. (1997). Ecological models of human development. Readings on the development of children, 37–43.
Casany, M.J., Alier, M., Mayol, E., Piguillem, J., Galanis, N., García-Peñalvo, F.J., & Conde, M. A. (2012). Extending Moodle services to mobile devices: the Moodbile project. In Proceedings of the 6th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, (UBICOMM 2012) (pp. 24–28). IARIA, Barcelona, Spain.
Cooper, M. (2006). Making online learning accessible to disabled students: An institutional case study. ALT-J. Research in Learning Technology, 14(1), 103–115.
Cram, A., Lumkin, K., & Eade, J. (2010). Using LAMS to structure and support learning activities in virtual worlds. In Proceedings of the 5th International LAMS Conference & Learning Design. http://lamsfoundation.org/lams2010sydney/papers.htm.
Cudd, P.A., Freeman, M., Yates, R.B., Wilson, A.J., Cooke, M.P., & Hawley, M.S. (1994). The CORES project. In Proceedings of the 4th international conference on Computers for handicapped persons table of contents (pp. 493–495). New York.
Dalziel, J.R. (2006). Lessons from LAMS for IMS Learning Design. In Proceedings of the Sixth International Conference on Advanced Learning Technologies (ICALT ‘06) (pp. 1101–1102). Washington, DC, USA: IEEE Computer Society.
Damásio, A. (1994). Descartes’ Error: Emotion, Reason, and the Human Brain. New York: Grosset/Putnam.
DeFreitas, S., Oliver, M., Mee, A., & Mayes, T. (2008). The practitioner perspective on the modelling of pedagogy and practice. Journal of Computer Assisted Learning, 24, 26–38.
Driscoll, M. (2002). Blended learning: Let’s get beyond the hype. E-Learning, 3(3), 54.
EDUCAUSE, (2012). What campus leaders need to know about MOOCs. EDUCAUSE. http://net.educause.edu/ir/library/pdf/PUB4005.pdf.
Garrison, D. R., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. The Internet and Higher Education, 7, 95–105.
Goldsworthy, R. (2000). Designing instruction for emotional intelligence. Educational Technology, 40(5), 43–48.
Hadjileontiadou, S.J., & Hadjileontiadis, L.J. (2003). Using ANFIS to efficiently model skills and beliefs in computer-mediated collaboration. In Proceedings of the 1 st Balkan Conference in Informatics. Thessaloniki: Greece.
Hadjileontiadou, S. J., Nikolaidou, G. N., & Hadjileontiadis, L. J. (2013). Towards a pragmatic modeling of learner’s complex system by reflecting Boulding’s typology at the affective computing space. Artificial Intelligence Research, 2(1), 36–43.
Henderson, L. (2007). Theorizing a multiple cultures instructional design model for e-learning and e-teaching. In A. Edmundson (Ed.), Globalized e-learning cultural challenges (pp. 130–153). Hershey, PA: Idea Group Inc.
Hernández, Y., Sucar, L. E., & Arroyo-Figueroa, G. (2013). Affective modeling for an intelligent educational environment. In A. Peña-Ayala (Ed.), Intelligent and Adaptive Educational-Learning Systems (pp. 3–24). Berlin Heidelberg: Springer.
Holcomb, L.B., King, F.B., & Brown, S.W. (2004). Student Traits and Attributes Contributing to Success in Online Courses: Evaluation of university online courses. Journal of Interactive Online Learning, 2(3). http://www.ncolr.org/jiol/issues/PDF/2.3.4.pdf.
Immordino-Yang, M. H., & Damasio, A. (2007). We feel, therefore we learn: The relevance of affective and social neuroscience to education. Mind, Brain, and Education, 1(1), 3–10.
IMS Global Learning Consortium (2004). IMS accessforall meta-data overview. http://www.imsglobal.org/accessibility/accmdv1p0/imsaccmd_oviewv1p0.html.
Irizarry, R. (2002). Self-efficacy & motivation effects on online psychology student retention. USDLA Journal, 16(12), 55–64. http://www.usdla.org/html/journal/DEC02_Issue/ED_DEC02.pdf.
Jang, J.-S.R., & Chuen-Tsai, S. (1995). Neuro-fuzzy modeling and control. In Proceedings of the IEEE, 83(3) (pp. 378–406).
Jarvi, J., Martin, B., Pecci, I., Pietrzak, T., Raisamo, R., & Rami, S. (2007). The MICOLE Architecture: Multimodal Support for Inclusion of Visually Impaired Children. In Proceedings of ICMI 2007 (pp. 193–200). Nagoya, Aichi, Japan.
Johnson, L., Adams Becker, S., Cummins, M., Estrada, V., Freeman, A., & Ludgate, H. (2013). NMC Horizon Report: 2013 Higher Education Edition. Austin, TX: The New Media Consortium.
Kemp, W. C. (2002). Persistence of adult learners in distance education. American Journal of Distance Education, 16(2), 65–81.
Kittanakere, L.N., Lakshmisri, L.N.R., & Kumar, K.S.N. (2011). An Emotional System for Effective and Collaborative e-Learning, In The Fourth International Conference on Advances in Computer-Human Interactions (ACHI 2011) (pp. 260–266).
Kraithman, D., & Bennett, S. (2004). Case study: Blending chalk, talk and accessibility in an introductory economics module. Best Practice, 4(2), 12–15.
Lynch, R., & Dembo, M. (2004). The Relationship Between Self-Regulation and Online Learning in a Blended Learning Context. The International Review of Research in Open and Distance Learning, 5(2).
Minović, M., Štavljanin, V., Milovanović, M., & Starčević, D. (2008). Usability issues of e-Learning systems: Case-study for Moodle learning management system. In On the Move to Meaningful Internet Systems: OTM 2008 Workshops (pp. 561–570). Springer Berlin Heidelberg.
Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: a framework for teacher knowledge. Teachers College Record, 108(6), 1017–1154.
Morgan, G. (2003). Faculty Use of Course Management Systems. Boulder, CO: EDUCAUSE Center for Applied Research. http://net.educause.edu/ir/library/pdf/ers0302/rs/ers0302w.pdf.
Mott, J. (2010). Envisioning the post-LMS era: the Open Learning Network. EDUCAUSE Quarterly, 33(1).
Oliver, M., & Trigwell, K. (2005). Can’Blended Learning’Be Redeemed? E-learning and Digital Media, 2(1), 17–26.
Osguthorpe, R. T., & Graham, C. R. (2003). Blended learning environments definitions and directions. The Quarterly Review of Distance Education, 4(3), 227–233.
Parker, A. (2003). Identifying predictors of academic persistence in distance education. USDLA Journal, 17(1). http://www.usdla.org/html/journal/JAN03_Issue/ED_JAN03.pdf.
Peraya, D., & Viens, J. (2005). Culture des acteurs et modèles d’intervention dans l’innovation technopédagogique. International Journal of Technologies in Higher Education, 2(1), 7–18.
Picard, R. W., Vyzas, E., & Healey, J. (2001). Toward machine emotional intelligence: Analysis of affective physiological state. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(10), 1175–1191.
Poff, N.L., Allan, J.D., Bain, M.B., Karr, J.R., Prestegaard, K.L., Richter et al. (1997). The natural flow regime. BioScience, 47(11), 769-784.
Protheroe, N., & Turner, J. (2003). Culturally sensitive instruction. Arlington, VA: Educational Research Service.
Rovai, A.P., & Jordan, H. (2004). Blended learning and sense of community: A comparative analysis with traditional and fully online graduate courses. The International Review of Research in Open and Distance Learning, 5(2).
Saito, S., Fukuda, K., Takagi, H., & Asawaka, C. (2005). aDesigner: Visualizing blind usability and simulating low vision visibility. In Proceedings of CSUN’05 (pp. 17–19). Los Angeles.
Salmon, G. (2000). E-moderating: the key to teaching and learning online. London: Routledge Falmer.
Sarirete, A., Chikh, A., & Berkani, L. (2008). Onto’ CoPE: Ontology for Communities of Practice of E-learning. In P. Dillenbourg & M. Specht (Eds.), Times of Convergence. Technologies Across Learning Contexts Vol. 5192 (pp. 395–400) Berlin/Heidelberg: Springer.
Seale, J., & Cooper, M. (2010). E-learning and accessibility: An exploration of the potential role of generic pedagogical tools. Computers & Education, 54(4), 1107–1116.
Seale, J. K. (2006). E-learning and disability in higher education: Accessibility research and practice. Oxford: Routledge.
Shen, L., Wang, M., & Shen, R. (2009). Affective e-Learning: Using “Emotional” Data to Improve Learning in Pervasive Learning Environment. Educational Technology & Society, 12(2), 176–189.
Simonson, M. (2005). Trends in distance education technologies from an international vantage point. In Y. Visser, L. Visser, M. Simonson, & R. Amirault (Eds.), Trends and Issues in Distance Education - International Perspectives (pp. 261–285). Greenwich, CT: Information Age Publishing.
Singh, H. (2003). Building effective blended learning programs. Educational Technology, 43(6), 51–54.
Tattersall, C., Vogten, H., & Hermans, H. (2005). The Edubox Learning Design Player. In R. Koper & C. Tattersall (Eds.), Learning design: a handbook on modelling and delivering networked education and training (pp. 303–310). Berlin: Springer.
The Learning Federation (2007). Accessibility specification for content development. http://www.thelearningfederation.edu.au/verve/_resources/accessibility_specification.pdf.
Thevenot, D. R., Toth, K., Durst, R. A., & Wilson, G. S. (1999). Electrochemical biosensors: recommended definitions and classification. Pure and Applied Chemistry, 71(12), 2333–2348.
Thurmond, V., & Wambach, K. (2004). Understanding interactions in distance education: A review of the literature. International Journal of Instructional Technology and Distance Learning, 1(1).
Tucker, M. L., Sojka, J. Z., Barone, F. J., & McCarthy, A. M. (2000). Training Tomorrow’s Leaders: Enhancing the emotional intelligence of business graduates. Journal of Education for Business, 75, 331–341.
Wang, A. Y., & Newlin, M. H. (2000). Characteristics of students who enroll and succeed in psychology web-based classes. Journal of Educational Psychology, 92(1), 137–143.
World Wide Web Consortium (2008). Web content accessibility guidelines version 2.0. http://www.w3.org/TR/WCAG20/.
Yengin, I., Karahoca, D., Karahoca, A., & Yücel, A. (2010). Roles of teachers in e-learning: how to engage students and how to get free e-learning and the future. Procedia—Social and Behavioral Sciences, 2(2), 5775–5787.
Zhang, W., & Wang, L. (2005). A Comparative Review of Online Teaching and Learning Tools Used in International Distance Learning. In Y. Visser, L. Visser, M. Simonson, & R. Amirault (Eds.), Trends and Issues in Distance Education—International Perspectives (pp. 245–259). Greenwich, CT: Information Age Publishing.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Dias, S.B., Diniz, J.A., Hadjileontiadis, L.J. (2014). Coda and Critical Discussion: A Systemic Analysis of an Intelligent OLE. In: Towards an Intelligent Learning Management System Under Blended Learning. Intelligent Systems Reference Library, vol 59. Springer, Cham. https://doi.org/10.1007/978-3-319-02078-5_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-02078-5_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02077-8
Online ISBN: 978-3-319-02078-5
eBook Packages: EngineeringEngineering (R0)