MATEC Web Conf.
Volume 197, 2018The 3rd Annual Applied Science and Engineering Conference (AASEC 2018)
|Number of page(s)||6|
|Published online||12 September 2018|
- U. A. Chaeruman, B. Wibawa, and Z. Syahrial, “Determining the Appropriate Blend of Blended Learning: A Formative Research in the Context of Spada-Indonesia,” vol. 6, no. 3, pp. 188-195, (2018) [Google Scholar]
- R. Boelens, M. Voet, and B. De Wever, “The design of blended learning in response to student diversity in higher education: Instructors’ views and use of differentiated instruction in blended learning,” Comput. Educ., vol. 120, no. May 2018, pp. 197-212, (2018) [CrossRef] [Google Scholar]
- R. Kumar and N. Pande, “ScienceDirect Technology-mediated learning paradigm and the blended learning ecosystem: what works for working professionals ?,” Procedia Comput. Sci., vol. 122, pp. 1114-1123, (2017) [CrossRef] [Google Scholar]
- P. Kharb and P. P. Samanta, “Journal of the Anatomical Society of India Blended learning approach for teaching and learning anatomy: Students ’ and teachers ’ perspective,” Indian J. Rheumatol., vol. 65, no. 1, pp. 43-47, (2016) [Google Scholar]
- E. Coyne, V. Frommolt, H. Rands, V. Kain, and M. Mitchell, “NU SC,” Nurse Educ. Today, vol. 66, no. July 2018, pp. 96-102, (2018) [CrossRef] [Google Scholar]
- H. M. Vo, C. Zhu, and N. A. Diep, “Studies in Educational Evaluation The effect of blended learning on student performance at course-level in higher education: A meta-analysis,” Stud. Educ. Eval., vol. 53, pp. 17-28, (2017) [CrossRef] [Google Scholar]
- H. El-deghaidy and A. Nouby, “Effectiveness of a blended e-learning cooperative approach in an Egyptian teacher education programme,” Comput. Educ., vol. 51, no. 2008, pp. 988-1006, (2008) [CrossRef] [Google Scholar]
- S. Hubackova and I. Semradova, “Evaluation of Blended Learning,” Procedia-Soc. Behav. Sci., vol. 217, no. 2016, pp. 551-557, (2016) [Google Scholar]
- S. D. Aji, M. N. Hudha, C. Huda, A. B. D. Nandiyanto, and A. G. Abdullah, “The Improvement Of Learning Effectiveness In The Lesson Study By Using E-Rubric,” J. Eng. Sci. Technol., vol. 13, no. 5, pp. 1181-1189, (2018) [Google Scholar]
- B. F. Klimova and P. Poulova, “Tutor as an important e-learning support,” Procedia Comput. Sci., vol. 3, pp. 1485-1489, (2011) [CrossRef] [Google Scholar]
- T. Krasnova and M. Demeshko, “Tutor-mediated Support in Blended Learning,” Procedia-Soc. Behav. Sci., vol. 166, pp. 404-408, (2015) [CrossRef] [Google Scholar]
- U. A. Chaeruman and S. Maudiarti, “Jurnal Pembelajaran Inovatif Quadrant of Blended Learning: a Proposed Conceptual Model for Designing Effective Blended Learning,” vol. 1, no. 4, pp. 1-5, (2018) [Google Scholar]
- C. A. Warden, J. O. Stanworth, J. Biao, and A. R. Warden, “Computers & Education Synchronous learning best practices: An action research study,” Comput. Educ., vol. 63, pp. 197-207, (2013) [CrossRef] [Google Scholar]
- M. Bower, B. Dalgarno, G. E. Kennedy, and M. J. W. Lee, “Design and Implementation Factors in Blended Synchronous Learning Environments: Outcomes from a Cross-Case Analysis,” Comput. Educ., vol. 86, pp. 1-17, (2015) [CrossRef] [Google Scholar]
- M. Mehri and M. Uplane, “Synchronous and asynchronous e-learning styles and academic performance of e-learners,” Procedia-Soc. Behav. Sci., vol. 176, pp. 129-138, (2015) [CrossRef] [Google Scholar]
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