Effects of language gap interference for English as a second language students in solving physics problems

Authors

  • Mohammad Zeidan Higher Colleges of Technology
  • Jessica Allred Khalifa University
  • Ruikun Zhao Khalifa University

DOI:

https://doi.org/10.47408/jldhe.vi28.934

Keywords:

mental image, physics education, science education, STEM, physics language interference

Abstract

Physics is an essential subject in most fields of Science and Engineering which cannot be mastered simply by watching lectures or solving problems at the end of each chapter: students must fully engage in solving these problems. This often requires problem visualisation, which presents quite a challenge for some, especially for students who are studying Physics in a second language because their understanding of the question can be influenced by the gaps in their understanding of the language used. The focus of this study is to investigate the role the language used in the wording of Physics problems plays in students’ ability to understand the question and accurately visualise the scenario that would be needed to extract the required information. 220 undergraduate students and 80 preparatory students volunteered to participate in this study. Students were asked to read two sets of Physics problems and to draw the scenario or image described in the text. The first set used the more advanced English that is commonly found in Physics textbooks and which includes passive voice and homonyms, while the other uses active voice and more simplified English. The results of the study highlight the fact that ESL students’ struggle with certain types of advanced English used in Physics such as the passive voice, showing that they are more capable of translating text into images when active voice is used.

Author Biographies

Mohammad Zeidan, Higher Colleges of Technology

Mohammad Zeidan is a Senior Lecturer in Physics at the College of Arts and Sciences at Khalifa University, Abu Dhabi, United Arab Emirates. Before joining Khalifa University he worked at the University of Canterbury, New Zealand as a Physics lecturer, research associate, and student advisor.

Jessica Allred, Khalifa University

Jessica Allred is an English Lecturer at Khalifa University. Before joining Khalifa University she worked at the Petroleum Institute in Abu Dhabi, UAE and Princess Noura University in Riyadh, KSA as well as several educational institutions in the United States. She has a Master of Science in TESOL from City College New York and has a particular interest in improving university level English for special purposes courses to better support students in their field of study.

Ruikun Zhao, Khalifa University

Ruikun Zhao is a Senior Lecturer in Chemistry in the College of Arts and Sciences at Khalifa University, Abu Dhabi, United Arab Emirates. He is also a Fellow of the UK Higher Education Academy.

References

Ali, A. H. and Rubani, S. N. K. (2008) ‘Problem-based learning in Physics education: a study on engineering students’, Batu Pahat, Johor, pp.24-25.

Belge-Can, H. and Boz, Y. (2012) ‘A cross-age study on high school students’ attitudes toward chemistry’, International Journal on New Trends in Education and Their Implications, 3, pp.1309-6249.

Berg, C. A. R. (2005) ‘Factors related to observed attitude change toward learning chemistry among university students’, Chemistry Education Research and Practice, 6(10), pp.1-18. https://doi.org/10.1039/B4RP90001D.

Celik, P., Onder, F. and Silay, I. (2011) ‘The effects of problem-based learning on the students’ success in Physics course’, Procedia-Social and Behavioral Sciences. https://doi.org/10.1016/j.sbspro.2011.11.124.

Clark, J. M. and Paivio, A. (1991) ‘Dual coding theory and education’, Educational Psychology Review, 3, pp.149-210.

Ellis, G. F. R and Kopel, J. (2022) ‘On the difference between Physics and Biology: logical branching and biomolecules’, 31 July. Available at: https://arxiv.org/pdf/1709.00950.pdf (Accessed: 15 May 2023).

‘Engineering Plus’ [Integrated Design Engineering (IDE)], College of Engineering and Applied Science, University of Colorado, Boulder. Available at: https://www.colorado.edu/eplus/ (Accessed: 15 May 2023).

Fikret K. (2012) ‘Teachers’ and students’ perceptions of effective Physics teacher characteristics’, Eurasian Journal of Educational Research, 46, pp.101-120.

Gordin D. N. and Pea R. D. (1995) ‘Prospects for scientific visualisation. as an educational technology’, The Journal of The Learning Sciences, 4(3), pp.249-279.

Harris, J., George, N. R., Hirsh-Pasek, K. Nora, S. and Newcombe, N. S. (2018) ‘Where will it go? How children and adults reason about force and motion’, Cognitive Development, 45, pp.113-124. https://doi.org/10.1016/j.cogdev.2018.01.002.

Haynes, J. and Zacarian, D. (2010) Teaching English language learners across the content areas. Alexandria, VA: ASCD.

Hinojosa, A. J. (2015) Investigations on the impact of spatial ability and scientific reasoning of student comprehension in Physics, state assessment tests, and STEM courses. Unpublished PhD thesis. The University of Texas at Arlington.

Hussein, F. K. A. (2006) Exploring attitudes and difficulties in school Chemistry in the Emirates. Unpublished PhD thesis. University of Glasgow.

Just, M. A., Newman, S. D., Keller, T. A., Mceleney, A. and Carpenter, P. A. (2004) ‘Imagery in sentence comprehension: an fMRI study,’ NeuroImage, 21, pp.112-124. https://doi.org/10.1016/j.neuroimage.2003.08.042.

Kind, P., Jones, K. and Barmby. P. (2007) ‘Developing attitudes towards science measures’, International Journal of Science Education, 29(7), pp.871-893. https://doi.org/10.1080/09500690600909091.

Kozhevnikov, M., Blazhenkova, O. and Becker, M. (2010) ‘Trade-off in object versus spatial visualisation abilities: restriction in the development of visual-processing resources’, The Psychonomic Society, Inc., 17(1), pp.29-35.

Kozhevnikov, M., Hegarty, M. and Mayer, R. E. (2002) ‘Revising the visualizer–verbalizer dimension: evidence for two types of visualizers’, Cognition and Instruction, 20(1), pp.47-77. https://doi.org/10.1207/S1532690XCI2001_3.

Kozhevnikov, M., Motes, M. A. and Hegarty, M. (2007) ‘Spatial visualisation in Physics problem solving’, Cognitive Science, 31, pp.549-579. https://doi.org/10.1080/15326900701399897.

Kozhevnikov, M. and Thornton, R. (2006) ‘Real-time data display, spatial visualisation ability, and learning force and motion concepts’, Journal of Science Education and Technology, 15(1). https://doi.org/10.1007/s10956-006-0361-0.

Mcleod, D. B. (1992) ‘Research on affect in Mathematics education: a reconceptualization’, in Grouws, D. A. (ed.) Handbook of research on Mathematics teaching and learning. New York: MacMillan, pp.575-596.

MOE, UAE Government (2021) ‘Curricula and language of instruction’, Ministry of Education, UAE. Available at: https://u.ae/en/information-and-services/education/school-education-k-12/joining-k-12-education/curricula-and-language-of-instruction- (Accessed: 15 May 2023).

Mustafa T., Oktay B., Omer G., Gokhan O. and Bugrahan Y. (2016) ‘Pre-service Physics and Chemistry teachers’ conceptual integration of Physics and Chemistry concepts’, Eurasia Journal of Mathematics, Science & Technology Education, 12(6), pp.1549-1568. https://doi.org/10.12973/eurasia.2016.1244a.

Nayak, A., Geleda, B., Sakhapara, A., Acharya, N. and Singh A. (2015) ‘Visualizing of Mechanics problems based on natural language processing’, International Journal of Computer Applications, 116(14), pp.34-37. https://doi.org/10.5120/20408-2766.

Nielsen Hibbing, A. and Rankin-Erickson, J. L. (2003) ‘A picture is worth a thousand words: using visual images to improve comprehension of middle school struggling readers’, The Reading Teacher, 56(8), pp.758-770.

Neilson, K. (2016) A text analysis of how passive voice in a Biology textbook impacts English language learners. Unpublished Master’s thesis. Hamline University.

Ornek, F., Robenson, W. R. and Haugan, M. R. (2007) ‘What makes Physics difficult?’ Science Education International, 18(3), pp.165-172.

Papanastasiou C. and Papanastasiou E. C. (2004) ‘Major influences on attitudes toward science’, Educational Research and Evaluation, 10(3), pp.239-257. https://doi.org/10.1076/edre.10.3.239.30267.

Physics Classroom (2019) Physics Classroom. Available at: https://www.physicsclassroom.com/calcpad/habits (Accessed: 15 May 2023).

Safataj, M. and Amiryousefi, M. (2016) ‘Effect of homonymous set of words instruction on vocabulary development and retention of young female elementary learners in Iranian EFL context through metalinguistic awareness’, Theory and Practice in Language Studies, 6(11), pp.2092. https://doi.org/10.17507/tpls.0611.05.

Serway, R. A. and Jewett, J. (2013) Physics for scientists and engineers with Modern Physics. 9th Edn. Boston: Brooks/Cole.

Yew, E. H. J and Goh, K. (2016) ‘Problem-based learning: an overview of its process and impact on learning’, Health Professions Education, 2(2), pp.75-79. https://doi.org/10.1016/j.hpe.2016.01.004.

Yousuf, M. A. and Chaveznava, R. M. (2015) ‘Solving Physics problems using variable flow diagrams,’ Robotics, Automation and Educational Technology Research Group (GIRATE) Available at: https://www.researchgate.net/profile/Rodrigo-Montufar-2/publication/268403635_Solving_Physics_Problems_Using_Variable_Flow_Diagrams/links/56321d5408ae3de9381eddc8/Solving-Physics-Problems-Using-Variable-Flow-Diagrams.pdf (Accessed: 22 May 2023).

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Published

24-09-2023

How to Cite

Zeidan, M., Allred, J. . and Zhao, R. (2023) “Effects of language gap interference for English as a second language students in solving physics problems”, Journal of Learning Development in Higher Education, (28). doi: 10.47408/jldhe.vi28.934.

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