LITERATURE REVIEW
Assessing the Impact of Technology Learning and Assessment Method on Academic Performance: Review Paper
 
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1
Faculty of Computer Systems and Software Engineering, University Malaysia Pahang, 26300 Kuantan, Pahang, MALAYSIA
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Faculty of Information Technology Department, AlBuraimi University College, Buraimi, OMAN
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Faculty of English Language & Linguistics, AlBuraimi University College, Buraimi, OMAN
Online publish date: 2018-03-21
Publish date: 2018-03-21
 
EURASIA J. Math., Sci Tech. Ed 2018;14(6):2241–2254
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ABSTRACT:
Technology enhancement learning is a process that leads to deep point of learning and adds knowledge of technologies. Various studies shed light on technology development and its effect in educational sector. The aim of this integrative review is to examine the current evidence of the impact of technology learning on student learning and academic performance in courses requiring collaborative or activities. The authors searched electronic databases for relevant articles, with different learning techniques. 24 articles met the requirement of paper, it’s collected from (2011-2017). Three themes of techniques used for student learning outcomes, includes technology enhanced learning, assessment method and faculty experience on academic performance in universities with technology use. The final results of this paper show the relationship between what has been done and the factors used by the authors. Also the future work needs more use of technologies in different phases of learning process.
 
REFERENCES (50):
1. Abdullah, S., Wahab, D. A., & Hussein, S. M. (2012). Development of a Quality Assurance Plan in Line with UKM’s Status as a Self-accreditation Institution and Research University. Procedia-Social and Behavioral Sciences, 59, 95-104. https://doi.org/10.1016/j.sbsp....
2. Adwan, J. (2016). Dynamic online peer evaluations to improve group assignments in nursing e-learning environment. Nurse education today, 41, 67-72. http://dx.doi.org/10.1016/j.ne....
3. Aldiab, A., Chowdhury, H., Kootsookos, A., & Alam, F. (2017). Prospect of eLearning in Higher Education Sectors of Saudi Arabia: A Review. Energy Procedia, 110, 574-580. https://doi.org/10.1016/j.egyp....
4. Al-Rahmi, W. M., & Zeki, A. M. (2016). A Model of Using Social Media for Collaborative Learning to enhance learners’ Performance on learning. Journal of King Saud University-Computer and Information Sciences, 29(4), 526-535. http://dx.doi.org/10.1016/j.jk....
5. Alshumaimeri, Y. (2011). The effects of wikis on foreign language students writing performance. Procedia-Social and Behavioral Sciences, 28, 755-763. https://doi.org/10.1016/j.sbsp....
6. Apandi, S. H., & Arshah, R. A. (2015). The Need of Dashboard in Social Research Network Sites for Researchers. International Journal of Software Engineering and Computer Systems, 2(1), 120-132.
7. Barak, M., & Levenberg, A. (2016). Flexible thinking in learning: An individual differences measure for learning in technology-enhanced environments. Computers & Education, 99, 39-52. https://doi.org/10.1016/j.comp....
8. Becher, M. (2013). Instruction coordinators and higher education accreditation: A study of awareness and assessment documentation use. The Journal of Academic Librarianship, 39(6), 573-581. http://dx.doi.org/10.1016/j.ac....
9. Beleche, T., Fairris, D., & Marks, M. (2012). Do course evaluations truly reflect student learning? Evidence from an objectively graded post-test. Economics of Education Review, 31, 709– 719. http://dx.doi.org/10.1016/j.ec....
10. Bell, C. A., & Youngs, P. (2011). Substance and show: Understanding responses to teacher education programme accreditation processes. Teaching and teacher education, 27(2), 298-307. https://doi.org/10.1016/j.tate....
11. Benson, P. (2013). Teaching and researching: Autonomy in language learning. London: Routledge.
12. Bourke, T., Ryan, M., & Lloyd, M. (2016). The discursive positioning of graduating teachers in accreditation of teacher education programs. Teaching and Teacher Education, 53, 1–9.
13. Cavanagh, M., Bower, M., Moloney, R., & Sweller, N. (2014). The effect over time of a video-based reflection system on preservice teachers’ oral presentations. Australian Journal of Teacher Education (Online), 39(6), 1. http://dx.doi.org/10.14221/ajt....
14. Chmiel, A. S., Shaha, M., & Schneider, D. K. (2017). Introduction of blended learning in a master program: Developing an integrative mixed method evaluation framework. Nurse education today, 48, 172-179. http://dx.doi.org/10.1016/j.ne....
15. Creţu, C. M., & Rogoz, N. (2014). Teachers’ Expectations Regarding the Accredited Programs for Professional Development Provided by Universities. Procedia-Social and Behavioral Sciences, 142, 660-667. https://doi.org/10.1016/j.sbsp....
16. Davis, S. W., Weed, D., & Forehand, J. W. (2015). Improving the nursing accreditation process. Teaching and Learning in Nursing, 10(1), 35-38. https://doi.org/10.1016/j.teln....
17. De Wever, B., Hämäläinen, R., Voet, M., & Gielen, M. (2015). A wiki task for first-year university students: The effect of scripting students’ collaboration. The Internet and Higher Education, 25, 37-44. https://doi.org/10.1016/j.ihed....
18. Debicki, B. J., Kellermanns, F. W., Barnett, T., Pearson, A. W., & Pearson, R. A. (2016). Beyond the Big Five: The mediating role of goal orientation in the relationship between core self-evaluations and academic performance. The International Journal of Management Education, 14(3), 273-285. http://dx.doi.org/10.1016/j.ij....
19. Graffigna, A. M. (2015). Effect of Institutional Evaluation Policies on Private Universities in the Cuyo Region. Procedia-Social and Behavioral Sciences, 197, 334-338. https://doi.org/10.1016/j.sbsp....
20. Graffigna, A. M., Ghilardi, L., Fraca, C., de los Ángeles Morell, M., Simonassi, M. L., Bartol, R., & Mengual, M. (2014). Universitary Evaluation. From the Program’s Accreditation to the Institutional Evaluation. Procedia-Social and Behavioral Sciences, 116, 2635-2639. https://doi.org/10.1016/j.sbsp....
21. Graham, C. R., Woodfield, W., & Harrison, J. B. (2013). A framework for institutional adoption and implementation of blended learning in higher education. The internet and higher education, 18, 4-14. http://dx.doi.org/10.1016/j.ih....
22. Grover, K. S., Miller, M. T., Swearingen, B., & Wood, N. (2014). An examination of the self-directed learning practices of ESL adult language learners. Journal of Adult Education, 43(2), 12.
23. Hashim, A. A., & Majid, M. A. (2015). Effects of Video Display Terminal Resolutions to the Legibility of Text on a Web Page. International Journal of Software Engineering and Computer Systems, 1(1), 131-157. http://dx.doi.org/10.15282/ijs....
24. Heflin, H., Shewmaker, J., & Nguyen, J. (2017). Impact of mobile technology on student attitudes, engagement, and learning. Computers & Education, 107, 91-99. https://doi.org/10.1016/j.comp....
25. Joseph, J. (2012). The barriers of using education technology for optimizing the educational experience of learners. Procedia-Social and Behavioral Sciences, 64, 427-436. https://doi.org/10.1016/j.sbsp....
26. Kleebbua, C., & Siriparp, T. (2016). Effects of Education and Attitude on Essential Learning Outcomes. Procedia-Social and Behavioral Sciences, 217, 941-949. https://doi.org/10.1016/j.sbsp....
27. Lancaster, J. W., Wong, A., & Roberts, S. J. (2012). ‘Tech’versus ‘Talk’: A comparison study of two different lecture styles within a Master of Science nurse practitioner course. Nurse education today, 32(5), e14-e18. https://doi.org/10.1016/j.nedt....
28. Laurillard, D. (2008). Digital technologies and their role in achieving our ambitions for education. Institute of Education, University of London.
29. Lee, C., Yeung, A. S., & Ip, T. (2017). University English language learners’ readiness to use computer technology for self-directed learning. System, 67, 99-110. http://dx.doi.org/10.1016/j.sy....
30. Lin, C. S., & Wu, R. Y. W. (2016). Effects of Web-Based Creative Thinking Teaching on Students’ Creativity and Learning Outcome. Eurasia Journal of Mathematics, Science & Technology Education, 12(6), 1675-1684. https://doi.org/10.12973/euras....
31. Lin, M. H., Chen, H. C., & Liu, K. S. (2017). A Study of the Effects of Digital Learning on Learning Motivation and Learning Outcome. Eurasia Journal of Mathematics, Science and Technology Education, 13(7), 3553-3564. https://doi.org/10.12973/euras....
32. Liu, M. H. (2016). Blending a class video blog to optimize student learning outcomes in higher education. The Internet and Higher Education, 30, 44-53. http://dx.doi.org/10.1016/j.ih....
33. Malik, S., & Coldwell-Neilson, J. (2016). Comparison of Traditional and ADRI Based Teaching Approaches in an Introductory Programming Course. Journal of Information Technology Education: Research, 16(1), 267-283.
34. Michelson, D. G., Tong, W., & Reeves, L. (2015). Communications education and training: industry certification and university accreditation [Guest Editorial]. IEEE Communications Magazine, 53(5), 194-195.
35. Naidu, P., & Derani, N. E. S. (2016). A Comparative Study on Quality of Education Received by Students of Private Universities versus Public Universities. Procedia Economics and Finance, 35, 659-666. https://doi.org/10.1016/S2212-....
36. O’Bannon, B., & Britt, V. G. (2011). Creating/developing/using a wiki study guide: Effects on student achievement. Journal of Research on Technology in Education, 44(4), 293-312.
37. Ozkan, M. (2015). Wikis and blogs in foreign language learning from the perspectives of learners. Procedia-Social and Behavioral Sciences, 192, 672-678. https://doi.org/10.1016/j.sbsp....
38. Pinedo, M., Chiyón, I., & Pérez, F. (2012). The influence of transparency on self-evaluation as part of the university accreditation process in Peru. Procedia-Social and Behavioral Sciences, 46, 1069-1076. https://doi.org/10.1016/j.sbsp....
39. Posey, L., & Pintz, C. (2017). Transitioning a bachelor of science in nursing program to blended learning: Successes, challenges & outcomes. Nurse Education in Practice, 26, 126-133. http://dx.doi.org/10.1016/j.ne....
40. Ralph, N., Birks, M., & Chapman, Y. (2015). The accreditation of nursing education in Australia. Collegian, 22(1), 3-7. http://dx.doi.org/10.1016/j.co....
41. Salajan, F. D., & Mount, G. J. (2012). Leveraging the power of Web 2.0 tools: a Wiki platform as a multimedia teaching and learning environment in dental education. Journal of dental education, 76(4), 427-436.
42. Schneider, C. G. (2016). Policy Priorities for Accreditation Put Quality College Learning at Risk. Liberal Education, 101(1).
43. Schwartzbeck, T. D., & Wolf, M. A. (2012). The Digital Learning Imperative: How Technology and Teaching Meet Today’s Education Challenges. Digital Learning Series. Alliance for Excellent Education.
44. Strang, K. D. (2013). University accreditation and benchmarking: Pedagogy that increases student achievement. International Journal of Educational Research, 62, 210-219. http://dx.doi.org/10.1016/j.ij....
45. Trocky, N. M., & Buckley, K. M. (2016). Evaluating the impact of wikis on student learning outcomes: an integrative review. Journal of professional nursing, 32(5), 364-376. http://dx.doi.org/10.1016/j.pr....
46. Wang, F., & Hannafin, M. J. (2005). Design-based research and technology-enhanced learning environments. Educational technology research and development, 53(4), 5-23. http://www.jstor.org/stable/30....
47. Wilby, K. J., Zolezzi, M., Rachid, O., & El-Kadi, A. (2017). Development of a college-level assessment framework in line with international accreditation standards: A Middle Eastern perspective. Currents in Pharmacy Teaching and Learning, 9(1), 115-120. http://dx.doi.org/10.1016/j.cp....
48. Wu, T. J., & Tai, Y. N. (2016). Effects of Multimedia Information Technology Integrated Multi-Sensory Instruction on Students’ Learning Motivation and Outcome. EURASIA Journal of Mathematics, Science & Technology Education, 12(4), 1065-1074. https://doi.org/10.12973/euras....
49. Yigit, T., Koyun, A., Yuksel, A. S., & Cankaya, I. A. (2014). Evaluation of blended learning approach in computer engineering education. Procedia-Social and Behavioral Sciences, 141, 807-812. https://doi.org/10.1016/j.sbsp....
50. Yousif, M. K., & Shaout, A. (2016). Fuzzy logic computational model for performance evaluation of Sudanese Universities and academic staff. Journal of King Saud University-Computer and Information Sciences. http://dx.doi.org/10.1016/j.jk....
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