Importance of data acquisition in problem based learning
DOI:
https://doi.org/10.17770/etr2015vol3.176Keywords:
computer simulation, data acquisition, educational technology, electronic learningAbstract
This research paper demonstrates untraditional learning and teaching method that is developed from combination of experimentation, usage of computer simulations and problem based learning. Taking all previously mentioned methods together there can be created very successful learning environment which provides students to master electromagnetism more effectively. Research focuses on proper use of data acquisition modules and computer simulations in PBL teaching method. Based on the results of the research experimental PBL in various cases provides better learning outcomes, but there are also a few occasions where the results aren’t so pleasing. Overall PBL provides results that are at least as promising as results of other teaching and learning methods. Therefore this method will be utilized in Liepaja University to teach physics, especially electromagnetism.Downloads
References
S. Thanee, S. Somkuarnpanit and K. Saetang, Eds., FPGA – Based Multi Protocol Data Acquisition System with High Speed USB Interface: International Multi Conference of Engineers and Computer Scientists 2010 Vol II, March 17-19, 2010, Hong Kong, China.
Biswajit Ray, Eds., An Instrumentation and Data Acquisition Course for Electronics Engineering Technology Students: 2003 American Society for Engineering Education Annual Conference & Exposition, 2003, Bloomsburg, USA.
R. J. Robinson and J. Welli, Eds., Introducing Data Acquisition and Experimental Techniques to Mechanical Engineering Students in the Freshmen Year: 2002 American Society for Engineering Education Annual Conference & Exposition, 2002, Rochester, USA.
A. Jimoyiannis and V. Komis, “Computer simulations in physics teaching and learning: a case study on students understanding of trajectory motion,” Computers & Education, vol. 36, pp. 183-204, Nov. 2000.
N. Rutten, W. R. van Joolingen and J. T. van der Veen, “The learning effects of computer simulations in science education,” Computers & Education, vol. 58, pp. 136-153, Jul. 2011.
L. P. Rieber, S. Tzeng and K. Tribble, “Discovery learning, representation, and explanation within a computer-based simulation: finding the right mix,” Learning and Instruction, vol. 14, pp. 307-323, 2004.
K. Chang, Y. Chen, H. Lin and Y. Sung, “Effects of learning support in simulation-based physics learning,” Computers & Education, vol. 51, pp. 1486-1498, Jan. 2008.
F. Dochy, M. Segers, P. van den Bossche and D. Gijbels, “Effects of problem-based learning: a metaanalysis,” Learning and Instruction, vol. 13, pp. 533-568, 2003.
W. Christian and F. Esquembre, “Modeling Physics with Easy Java Simulations,” The Physics Teacher, vol. 45, pp. 475-480, Nov. 2007.
K. Perkins, W. Adams, M. Dubson, N. Finkelstein, S. Reid and C. Wieman, “PhET: Interactive Simulations for Teaching and Learning Physics,” The Physics Teacher, vol. 44, pp. 18-23, Jan. 2006.
N. Finkelstein, W. Adams, C. Keller, K. Perkins and C. Wieman, “High-Tech Tools for Teaching Physics: the Physics Education Technology Project,” Journal of Online Learning and Teaching, Sep. 2006.
C. E. Wiemann, W. K. Adams and K. K. Perkins, “PhET: Simulations That Enhance Learning,” Science, vol. 322, pp. 682-683, Oct. 2008.
T. D. Jong and W. V. Joolingen, “Scientific discovery learning with computer simulations of conceptual domains,” SAGE Publications, vol. 68, pp. 179-202, Nov. 2007.
J. Bryan, “Technology for Physics Instruction,” Contemporary Issues in Technology and Teacher Education, vol. 6(2), pp. 230-245, 2006.
T. Martin-Blas and A. Serrano-Fernandez, “The role of new technologies in the learning process: Moodle as a teaching tool in physics,” Computers & Education, vol. 52, pp. 35-44, Jun. 2008.
Y. J. Dori and J. Belcher, “How does technology-Enabled Active Learning Affect Undergraduate Students Understanding of Electromagnetism Concepts,” The Journal of the Learning Sciences, vol. 14(2), pp. 243-279, 2005.
C. Wiemann and K. Perkins, “Transforming Physics Education,” Physics Today, vol. 58(11), pp. 36-50, Nov. 2005.
N. D. Finkelstein, W. K. Adams, C. J. Keller, P. B. Kohl, K. K. Perkins, N. S. Podolefsky and S. Reid, “When learning about the real world is better done virtually: A study of substituting computer simulations for laboratory equipment,” The American Physical Society, vol. 1, pp. 1-8, Oct. 2005.
R. N. Steinberg, “Computers in teaching science: To simulate or not to Simulate,” Phys. Ed. Res, vol. 68, pp. S37-S41, 2000.
M. E. Gredler, “Games and simulations and their relationships to Learning,” Handbook of Research on Educational Communications and Technology, pp. 571-581, 2004.
“Improving students understanding of electricity and magnetism,” March 20, 2012. [Online]. Available: http://d-scholarship.pitt.edu/11767/1/Jing_Li's_Doctoral_Thesis_4_a%26s_format_revised7.pdf. [Accessed: Jan. 30, 2015].
“Benefits & Potential Dangers of Using USB for Test & Measurement Applications,” [Online]. Available: http://www.controldesign.com/assets/12WPpdf/121024-data-translation-benefits-dangers-using-usb.pdf. [Accessed: Jan. 30, 2015].
“Problem based learning of Data Acquisition and Computer-Based control Applications in MET Courses,” [Online]. Available: https://www.ni.com/pdf/academic/us/journals/lv02_52.pdf. [Accessed: Jan. 30, 2015].
Y. J. Dori and J. Belcher, “Learning Electromagnetism with Visualizations and Active learning,” in Visualizations in Science Education, vol. 1, Models and Modeling in Science Education, J. K. Gilbert, Ed. Springer Netherlands, 2005, pp. 187-216.