Online graded assessment of Saudi EFL learners during the Covid-19 pandemic: A successful implication of TAM
DOI:
https://doi.org/10.47264/idea.lassij/5.1.43Keywords:
Technology Acceptance Model, TAM, English language proficiency, student motivation, professional development, language assessment, e-learning, technical support, transformation, black boardAbstract
This paper highlights a successful experience of assessing English as a Foreign Language (EFL) learner’s proficiency at Yanbu English Language Institute (YELI), Kingdom of Saudi Arabia during the Covid-19 restrictions. To investigate the existing problem various interventions were introduced such as replacing Google Classroom with Black Board, implementing online proctoring during the exams, and portfolios. The provision of online assessments was a forced response to Covid-19 restrictions, which brought many challenges and risks without any prior experience and precedence. Addressing these challenges and making well-informed decisions that can potentially affect the performance and career of hundreds of learners, requires judicious justification and reasoning. The paper reflects on the well-informed strategy TAM used to deploy and address the challenges of online graded assessments effectively during the current pandemic for EFL learners to continue their progress toward their specializations while maintaining academic rigor and quality. This paper also intends to provide an insight to language teachers, practitioners, and policymakers to tackle similar challenges in the future. One among many other objectives of this research was to address the role of digital assessment for effective teaching, learners’ motivation, achievements, and transferability.
References
Alhmadi, N. S. (2014). English speaking learning barriers in Saudi Arabia: A case study of Tibah University. Arab World English Journal, 5(2), 38-53. https://awej.org/images/AllIssues/Volume5/Volume5Number2June2014/4.pdf
Aliweh, A. M. (2011). Exploring Egyptian EFL students' learning styles and satisfaction with web-based materials. CALICO Journal, 29(1), 81-99. https://www.jstor.org/stable/pdf/calicojournal.29.1.81.pdf?casa_token=ZmPpilzcRzkAAAAA:DlxezLcU1ehQCtG6kXgBUKNKZEXRVq4hrb1-iKSpiLdG4oipztwbS3WgDfQ2MIoo_Vzi5mCCfxj2MalOwlFf4w5c-2JbhKcypr5JoBdjU5GOzSD6mQ
Al-Motairi, M. S. (2009). The most important problems of the application of continuous assessment in the Islamic subject in primary school for girls from the viewpoint of teachers and educational supervisors in Riyadh. Unpublished Master’s Thesis, Imam Mohammed Bin Saud Islamic University, Riyadh, Saudi Arabia.
Alsadaawi, A., (2010), Saudi National Assessment of Educational Progress (SNAEP). International Journal of Education Policy and Leadership, 5(11), 1-14. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.916.7857&rep=rep1&type=pdf
Al-Sadan, I. A. (2000). Educational assessment in Saudi Arabian schools. Assessment in Education: Principles, Policy & Practice, 7(1), 143-155. https://doi.org/10.1080/713613320
Alshamsi, A., Zahavich, A., & El-Farra, S. (2021). Why Graded Assessment for Undergraduates during the COVID-19 Lockdown? An Experience Introspection. IAFOR Journal of Education, 9(2), 55-75. https://eric.ed.gov/?id=EJ1291894
Bearman, M., Boud, D., Dawson, P., Bennett, S., Joughin, G., & Molloy, E. (2018). Reframing assessment research: through a practice perspective. Studies in Higher Education, 43(7), 1107-1118. https://doi.org/10.1080/03075079.2016.1202913
Brown, B. L. (2010). The impact of self-efficacy and motivation characteristics on the academic achievement of upward bound participants. The University of Southern Mississippi.
Buck, G. (2010). Assessing listening. Cambridge University.
Burgess, S., & Sievertsen, H. H. (2020). Schools, skills, and learning: The impact of COVID-19 on education. VoxEu. https://voxeu.org/article/impact-covid-19-education
Chang, I.-C., Li, Y. C., Hung, W. F., & Hwang, H. G. (2005). An empirical study on the impact of quality antecedents on taxpayers’ acceptance of internet tax-filing systems. Government Information Quarterly, 22(3), 389-410. https://doi.org/10.1016/j.giq.2005.05.002
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 3(3), 319-340. https://doi.org/10.2307/249008
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003. https://www.jstor.org/stable/2632151?seq=1#metadata_info_tab_contents
Davison, C., & Leung, C. (2009). Current issues in English language teacher?based assessment. TESOL Quarterly, 43(3), 393-415. https://doi.org/10.1002/j.1545-7249.2009.tb00242.x
Dillon, A., & Morris, M. G. (1996). User acceptance of information technology: Theories and models. Annual Review of Information Science and Technology (ARIST), 31, 3-32. https://www.learntechlib.org/p/82513/
Fathema, N., Shannon, D., & Ross, M. (2015). Expanding the Technology Acceptance Model (TAM) to examine faculty use of Learning Management Systems (LMSs) in higher education institutions. Journal of Online Learning & Teaching, 11(2). 210-232. https://jolt.merlot.org/Vol11no2/Fathema_0615.pdf
Gu, P. Y. (2017). Formative assessment of language learning strategies. English Language Learning,16–24. https://www.researchgate.net/publication/322136853_Formative_assessment_of_language_learning_strategies
Gregori-Signes, C. (2008). Integrating the old and the new: Digital storytelling in the EFL language classroom. Greta, 16(1), 43-49. https://www.uv.es/gregoric/DIGITALSTORYTELLING/DS_files/Gregori_GRETA_16_2008_43_49.pdf
Hubona, G. S., & Geitz, S. (1997, January). External variables, beliefs, attitudes and information technology usage behaviour. In Proceedings of the Thirtieth Hawaii International Conference on System Sciences, 3, 21-28. IEEE. https://doi.org/10.1109/HICSS.1997.661560
Khan, S. M. (2015). Influence of speech anxiety on oral communication skills among ESL/EFL Learners. Advances in Language and Literary Studies, 6(6), 49-53. https://eric.ed.gov/?id=EJ1127504
Landry, B. J., Griffeth, R., & Hartman, S. (2006). Measuring student perceptions of blackboard using the technology acceptance model. Decision Sciences Journal of Innovative Education, 4(1), 87-99. https://doi.org/10.1111/j.1540-4609.2006.00103.x
Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for Information Systems, 12(1), 752-780.https://aisel.aisnet.org/cgi/viewcontent.cgi?article=3217&context=cais
Mahboob, A., &Elyas, T. (2017). English in the Kingdom of Saudi Arabia. World Englishes, 33 (1), 128 - 148. https://doi.org/10.1111/weng.12073
Navariz, D. N. (2015). Examining teachers' acceptance and use of mobile applications and iPads in instruction through the technology acceptance model: A mixed methods study. The University of Texas, El Paso. https://www.proquest.com/openview/a8cd63efcd1b1343081db2fd2cd004d2/1?pq-origsite=gscholar&cbl=18750
Peterson, J. (2019). An analysis of academic dishonesty in online classes. Mid-Western Educational Researcher, 31(1), 24-36.
Rahman, M. M. U., & Alhaisoni, E. (2013). Teaching English in Saudi Arabia: Prospects and challenges. Academic Research International, 4(1), 112–118. https://www.ahmedv.com/wp/wp-content/uploads/2014/05/20134.1-11.pdf
Rugh, W. A. (2002). Education in Saudi Arabia: Choices and constraints. Middle East Policy, 9(2),40-52. https://www.proquest.com/openview/ebda481411c2bf28163edc3183890497/1?pq-origsite=gscholar&cbl=31168
Ruland, J. W. (2011). The impact of using formative assessment attributes in daily instruction on student affect. Doctoral dissertation, Loyola University, Chicago, USA.
Trotter, E. (2006). Student perceptions of continuous summative assessment. Assessment & Evaluation in Higher Education, 31(5), 505-521. https://doi.org/10.1080/02602930600679506
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481. https://doi.org/10.1111/j.1540-5915.1996.tb00860.x
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540
Williams, J. B., & Wong, A. (2009). The efficacy of final examinations: A comparative study of closed?book, invigilated exams and open?book, open?web exams. British Journal of Educational Technology, 40(2), 227-236. https://doi.org/10.1111/j.1467-8535.2008.00929.x
Wu, P. F. (2011). A mixed methods approach to technology acceptance research. Journal of the AIS. https://ssrn.com/abstract=1937656
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