Development of web-based ıntelligent tutoring (iTutor) to help students learn fluid statics
DOI:
https://doi.org/10.36681/Keywords:
formative assessment, intelligent tutoring (iTutor), remedial learning, fluid staticsAbstract
Fluid statics is one of the most difficult topics for students to learn. Formative assessment and remedial instruction can help students master the concepts. However, identifying students’ challenges for formative purposes and facilitating remedial learning is not easy given to the number of students and variation of the problems encountered. An alternative solution to overcoming such problems is the use of web-based intelligent tutoring (iTutor). This research aims to develop and examine the feasibility and effectiveness of the web-based program iTutor. This research project consists of 3 steps, i.e., preliminary study, development, and examination. Three professors, 3 physics teachers, and 74 secondary students participated in this study. The instruments for collecting data included tests, questionnaires, and interviews. The questionnaire and interview data were analysed both quantitatively and qualitatively, while examination data were evaluated by means of an independent t-test. Expert judgment and trial fieldtesting data confirm the feasibility and effectiveness of using the iTutor program to improve students' mastery of physics concepts.
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Basnet, B., Basson, M., Devine, J., Hobohm, C., and Cochrane, S., (2011). Is self-assessment effective in enhancing student learning? Paper presented at The 2011 AAEE Conference, Fremantle, Western Australia. Retrieved from http://eprints.usq.edu.au/20675/1/Basnet_Basson_Devine_Hobohm_Cochrane_PV.pdf
Bell, B., &, Cowie B. (2002). Formative assessment and science education. New York: Kluwer Academic Publisher.
Bierman, J, and Eric, K. (2003). Reconsidering Archimedes' Principle. The Physics Teacher. 41(6). 340-344.
Butz, C. J., Shan H, and Brien M. (2004). A web-based intelligent tutoring system for computer programming. Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 20-24 September 2004, Beijing, China, 159-165. Retrieved from https://www.researchgate.net
Chen, L. H. (2011). Enhancement of student learning performance using personalized diagnosis and remedial learning system. Computers & Education, 56(1), 289-299.
DEMİRCİ, N. (2005), A study about students’ misconception in force and motion concepts by incorporating a web-assisted physics program, The Turkish Online Journal of Educational Technology, 4(3), 40-48
Goszewski, M., Moyer, A., Bazan, Z., & Wagner, D. J. (2013). Exploring student difficulties with pressure in a fluid. Paper Presented at Physics Education Research Conference 2012, 1513(1), 154-157. Retrieved from http://www.per-central.org.
GÜNEL, K. and AŞLIYAN, R. (2009), Determining Difficulty of Questions in Intelligent Tutoring Systems, The Turkish Online Journal of Educational Technology, 8(3), 14-21
Heinrich, E., Milne, J., & Moore, M. (2009). An Investigation into E-Tool Use for Formative Assignment Assessment - Status and Recommendations. Educational Technology & Society, 12 (4), 176–192.
Jahjouh, Y. M. A. (2014). The effectiveness of blended e-learning forum in planning for science instruction. Journal of Turkish Science Education, 11(4), 3–16. http://doi.org/10.12973/tused.10123a
Jong, B., Lin, T., Wu, Y., & Chan, T. (2004). Diagnostic and remedial learning strategy based on conceptual graphs. Journal of Computer Assisted Learning, 20(5), 377-386.
Klecker, B. M., (2007), The Impact of Formative Feedback on Student Learning in an Online Classroom, Journal of Instructional Psychology, 34 (3), ProQuest Education Journals 161-165.
Kusairi, S. (2012), Analisis Asesmen Formatif Fisika SMA Berbantuan Komputer, Jurnal Penelitian dan Evaluasi Pendidikan, Edisi Dies Natalis ke 48 UNY, 68-87.
Kusairi, S. Muhardjito, and Sujito, (2013). Development a Model of Web-Based Assessment For Learning to Improve Student Mastery of Physics Concepts, Jurnal Foton, 17(2), 107-114.
Kusairi, S. and Sujito, (Nopember 2014). Supporting Physics Student Learning with Web-Based Assessment for Learning, Proceeding International Conference on Educational Research and Evaluation (ICERE) Nopember 2014, Yogyakarta.
Lambert, L., & Lines, D. (2000). Understanding assessment: Purpose, perceptions, practice. New York: Routledge Falmer.
Lin Lien-Fa, L., Wang Chun-Nai, Hung Cheng-Yong. (2007). The Effects of Web-Based Remedial Instruction System. Retrieved from www.kyu.edu.tw.
Lima, F. M. S., G. M. Venceslau, dan G. T. Brasil. (2014). A downward buoyant force experiment. Revista Brasileira de Ensino de Física, 36, 1-5.
Loverude, M. E., Kautz, C. H., & Heron, P. R. (2003). Helping students develop an understanding of Archimedes’ principle. I. Research on student understanding. American Journal of Physics, 71(11), 1178-1187.
Loverude, M. E., Heron, P. R. L., & Kautz, C. H. (2010). Identifying and addressing student difficulties with hydrostatic pressure. American Journal of Physics, 78(1), 75-85.
Mitrovic, A, Williamson, C., Bebbington, A., Mathews, M., Suraweera, P.,Martin, B., Thomson, D.,and Holland, J. (2011). Thermo-Tutor: An intelligent tutoring system for thermo-dynamics. Global Engineering Education Conference (EDUCON), 378-385.
Myneni, L., & Narayanan, N. H. (2012). ViPS-An Intelligent Tutoring System for Exploring and Learning Physics through Simple Machines. In CSEDU (1), 73-82.
Nagel, L. & van Eck, L. (2012). Sustainable learning through formative online assessment: using quizzes to maintain engagement. In M. Brown, M. Hartnett & T. Stewart (Eds.), Proceedings of ASCILITE - Australian Society for Computers in Learning in Tertiary Education Annual Conference 2012. Australasian Society for Computers in Learning in Tertiary Education.
Retrieved from http://www.editlib.org
Ornek, F., Robinson, W.R., Haugan, M.P. (2008). What makes physics difficult?. International Journal of Environmental & Science Education, 3(1), 30–34.
OSMAN, M. E, (2010), Virtual Tutoring: An Online Environment for Scaffolding Students’ Metacognitive Problem Solving Expertise, Journal of Turkish Science Education, 7(4), 3-13.
Pierce, E. M., Lloyd K. B., and Solak, J., (2001), Lessons Learned from Piloting a Computer Literacy Test for Placement and Remedial Decisions, Journal of Information Systems Education, 12(2), 81-92
Popham, W. J. (2008). Transformative assessment. Virginia: Association of supervision and curriculum development (ASCD).
Seridi-Bouchelaghem, H & Sellami, M. (2001), Design of an Inteligent Tutoring System on the WWW to Support Interactive Learning, Paper Presented at International Conference on Engineering Education, August 2001, Oslo, Norway. Retrieved from http://citeseerx.ist.psu.edu
Shen, C. & Liu, H, (2011), Metacognitive Skills Development: A Web-Based Approach in Higher Education, The Turkish Online Journal of Educational Technology, 10(2), 140-150.
Siemer, J., & Angelides, M. C. (1998). Towards an intelligent tutoring system architecture that supports remedial tutoring. Artificial Intelligence Review, 12 (6), 469-511.
Sorensen, E. K., & Takle, E. S. (2005). Investigating knowledge building dialogues in networked communities of practice. A collaborative learning endeavor across cultures. Interactive Educational Multimedia. 10: 50–60
Ünal, S., & Coştu, B. (2005). Problematic issue for students: Does it sink or float. In Asia-Pasific Forum on Science Learning and Teaching, 6(1), 1. Retrieved from http://www.ied.edu.hk.
Vanlehn, Kurt, et al. (2005). The Andes physics tutoring system: Lessons learned. International Journal of Artificial Intelligence in Education 15(3): 147-204.
Wagner D.J, Carbone, E, & Lindow. A. (2013). Exploring Student Difficulties with Buoyancy. Paper presented at Physics Education Research Conference 2013. Retrieved from http://www.per-central.org.
Wong, D., Lim, C. C., Munirah, S. K., & Foong, S. K. (2010). Student and Teacher Understanding of Buoyancy. Paper Presented at Physics Education Research Conference 2010. Retrieved from http://www.per-central.org.
Yin, Y., Tomita, M. K., & Shavelson, R. J. (2008). Diagnosing and dealing with student misconceptions: floating and sinking. Science Scope, 31(8), 34. Retrieved from http://stanford.edu.
Zhang, R., Zhou, Y., and Ishino, F., (2008), Extensive Application of Multiple Regression: A Critical Insight into English Remedial Education through Web-based Learning, Proceedings of the World Congress on Engineering and Computer Science 2008, WCECS 2008, October 22 - 24, 2008, San Francisco, USA. Retrieved from https://www.researchgate.net
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