EFL LEARNERS’ PERCEPTIONS TOWARDS THE ACTIVE READING SOFTWARE AS A LEARNING TOOL TO ENHANCE READING COMPREHENSION

Imran Khan, Ainol Haryati Ibrahim, Asiah Kassim, Raja Muhammad Ishtiaq Khan

Abstract


The present study endeavored to explore EFL students' perceptions regarding the acceptance and intervention of ARS in enhancing reading comprehension ability at Majmaah University, Saudi Arabia. The study engaged 30 male undergraduates of English major B.A program. For data collection, the study utilized a qualitative technique using semi-structured interviews and the interview questions were constructed based on the principles of Technology Acceptance Model (TAM) by Davis (1989). Active Reading Software (ARS) was employed as a technological tool for teaching reading comprehension. The treatment group received intervention from ARS for the duration of four weeks in the computer lab. Qualitative data obtained from the students' interviews were evaluated by means of thematic analysis using Braun and Clarke’s (2006) framework. The results of the thematic analysis pointed out five major themes considered to be the factors that influenced participants’ perceptions towards ARS as a learning tool for improving reading comprehension at the tertiary level. Findings of the present study offer essential implications for language instructors and educational institutions providing technology-integrated courses. Understanding the factors influencing the learners’ perceptions towards the adoption of technological tools in learning is significant for its success.

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ARS, computer software, perceptions, TAM, technology-enhanced learning

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References


Abdullah, F., & Ward, R. (2016). Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors. Computers in human behavior, 56, 238-256.

Abdullah, F., Ward, R., & Ahmed, E. (2016). Investigating the influence of the most commonly used external variables of TAM on students’ Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of e-portfolios. Computers in human behavior, 63, 75-90.

Alemi, M. (2016). General impacts of integrating advanced and modern technologies on teaching English as a foreign language. International Journal on Integrating Technology in Education, 5(1), 13-25.

Alkhalaf, S., Drew, S., AlGhamdi, R., & Alfarraj, O. (2012). E-learning system on higher education institutions in KSA: Attitudes and perceptions of faculty members. Procedia-Social and Behavioral Sciences, 47, 1199-1205.

Ansarin, A. A., Farrokhi, F., & Mahboudi, H. R. (2017). Incorporating computers into classroom: Effects on learners’ reading comprehension in EFL context. International Journal of Applied Linguistics and English Literature, 6(7), 143-160.

Blake, R. (2016). Technology and the four skills. Language Learning & Technology, 20(2), 129-142.

Chang, H.-Y., Wang, C.-Y., Lee, M.-H., Wu, H.-K., Liang, J.-C., Lee, S. W.-Y., . . . Hsu, C.-Y. (2015). A review of features of technology-supported learning environments based on participants’ perceptions. Computers in human behavior, 53, 223-237.

Chipangura, A., & Aldridge, J. (2017). Impact of multimedia on students’ perceptions of the learning environment in mathematics classrooms. Learning Environments Research, 20(1), 121-138.

Condrat, V. (2014). The use of technology to promote learner autonomy. Creativitatea lingvala: de la semn la text, Iași, Editura PIM.

Denton, C. A., Wolters, C. A., York, M. J., Swanson, E., Kulesz, P. A., & Francis, D. J. (2015). Adolescents' use of reading comprehension strategies: Differences related to reading proficiency, grade level, and gender. Learning and Individual Differences, 37, 81-95.

Dizon, G. (2016). Measuring Japanese EFL Student Perceptions of Internet-Based Tests with the Technology Acceptance Model. TESL-EJ, 20(2), n2.

Dodick, D., Starling, A. J., Wethe, J., Pang, Y., Messner, L. V., Smith, C., . . . Bogle, J. M. (2017). The effect of in-school saccadic training on reading fluency and comprehension in first and second grade students: a randomized controlled trial. Journal of child neurology, 32(1), 104-111.

Donaldson, P., McKinney, L., Lee, M., & Pino, D. (2016). First-year community college students' perceptions of and attitudes toward intrusive academic advising. NACADA Journal, 36(1), 30-42.

Dündar, H., & Akçayır, M. (2017). Tablet vs. paper: The effect on learners' reading performance. International Electronic Journal of Elementary Education, 4(3), 441-450.

Edmunds, R., Thorpe, M., & Conole, G. (2012). Student attitudes towards and use of ICT in course study, work and social activity: A technology acceptance model approach. British Journal of Educational Technology, 43(1), 71-84.

Eom, S. B., & Ashill, N. (2016). The determinants of students’ perceived learning outcomes and satisfaction in university online education: An update. Decision Sciences Journal of Innovative Education, 14(2), 185-215.

Ghavifekr, S., & Rosdy, W. A. W. (2015). Teaching and learning with technology: Effectiveness of ICT integration in schools. International Journal of Research in Education and Science, 1(2), 175-191.

Gilakjani, A. P., & Sabouri, N. B. (2016). A study of factors affecting EFL learners’ reading comprehension skill and the strategies for improvement. International Journal of English Linguistics, 6(5), 180-187.

Gilbert, J. (2017). A study of ESL students’ perceptions of their digital reading. The reading matrix: an international online journal, 17(2), 179-195.

Horiba, Y., & Fukaya, K. (2015). Reading and Learning from L2 Text: Effects of Reading Goal, Topic Familiarity, and Language Proficiency. Reading in a Foreign Language, 27(1), 22-46.

Huang, Q. (2016). Learners' Perceptions of Blended Learning and the Roles and Interaction of f2f and Online Learning. ORTESOL Journal, 33, 14-33.

Joo, Y. J., Park, S., & Lim, E. (2018). Factors influencing preservice teachers’ intention to use technology: TPACK, teacher self-efficacy, and technology acceptance model. Journal of Educational Technology & Society, 21(3), 48-59.

Kuhail, A. A. (2017). The Effectiveness of Using Interactive Digital Videos on Developing Sixth Graders' English Reading Skills and Vocabulary learning and Retention. The Effectiveness of Using Interactive Digital Videos on Developing Sixth Graders' English Reading Skills and Vocabulary learning and Retention.

Lai, C., Yeung, Y., & Hu, J. (2016). University student and teacher perceptions of teacher roles in promoting autonomous language learning with technology outside the classroom. Computer Assisted Language Learning, 29(4), 703-723.

Liu, X., Liu, Y., & Tu, J.-F. (2020). Multimedia Technology and Learner Autonomy: An Experimental Study for Asymmetric Effects. Symmetry, 12(3), 462.

Mangen, A. (2008). Hypertext fiction reading: haptics and immersion. Journal of research in reading, 31(4), 404-419.

Marangunić, N., & Granić, A. (2015). Technology acceptance model: a literature review from 1986 to 2013. Universal Access in the Information Society, 14(1), 81-95.

McDermott, P., & Gormley, K. A. (2016). Teachers’ use of technology in elementary reading lessons. Reading Psychology, 37(1), 121-146.

McKnight, K., O'Malley, K., Ruzic, R., Horsley, M. K., Franey, J. J., & Bassett, K. (2016). Teaching in a digital age: How educators use technology to improve student learning. Journal of research on technology in education, 48(3), 194-211.

Milonm, S. R., & Hasanand Ipban, H. (2017). Students’ perception towards technology in learning English as a foreign language: A case study of higher secondary students of Pabna, Bangladesh. IOSR Journal of Humanities and Social Science, 22(6), 47-53.

Mısır, H., Koban Koç, D., & Engin Koç, S. (2018). An analysis of learner autonomy and autonomous learning practices in massive open online language courses. Arab World English Journal (AWEJ) Special Issue on CALL(4).

Nezami, S. R. A. (2012). A Critical Study of Comprehension Strategies and General Problems in Reading Skill Faced by Arab EFL Learners with Special Reference to Najran University in Saudi Arabia. International Journal of Social Sciences & Education, 2(3).

O’Brien, L. M., Salinas, A., Reinhart, K. C., & Paratore, J. R. (2018). Pre-service Teachers’ Use of Multimodal Text Sets and Technology in Teaching Reading: Lessons Learned from a Design-Based Study Best Practices in Teaching Digital Literacies (pp. 123-136): Emerald Publishing Limited.

Peek, S. T., Wouters, E. J., Van Hoof, J., Luijkx, K. G., Boeije, H. R., & Vrijhoef, H. J. (2014). Factors influencing acceptance of technology for aging in place: a systematic review. International journal of medical informatics, 83(4), 235-248.

Pickens, J. (2005). Attitudes and perceptions. Organizational behavior in health care, 43-76.

Piper, B., Zuilkowski, S. S., Kwayumba, D., & Strigel, C. (2016). Does technology improve reading outcomes? Comparing the effectiveness and cost-effectiveness of ICT interventions for early grade reading in Kenya. International Journal of Educational Development, 49, 204-214.

Posner, M. (1977). Preview of Lindsay & Norman, 1977. Contemporary Psychology, 22, 726.

Putro, N. H. P. S., & Lee, J. (2017). Reading interest in a digital age. Reading Psychology, 38(8), 778-807.

Ratna, P., & Mehra, S. (2015). Exploring the acceptance for e–learning using technology acceptance model among university students in India. International Journal of Process Management and Benchmarking, 5(2), 194-210.

Salloum, S. A., Alhamad, A. Q. M., Al-Emran, M., Monem, A. A., & Shaalan, K. (2019). Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model. IEEE Access, 7, 128445-128462.

Shah, H. J., & Attiq, S. (2016). Impact of technology quality, perceived ease of use and perceived usefulness in the formation of consumer’s satisfaction in the context of e-learning. Abasyn J. Soc. Sci, 9(1), 124-140.

Song, H. S., Kalet, A. L., & Plass, J. L. (2016). Interplay of prior knowledge, self‐regulation and motivation in complex multimedia learning environments. Journal of Computer Assisted Learning, 32(1), 31-50.

Struyven, K., Dochy, F., & Janssens, S. (2005). Students’ perceptions about evaluation and assessment in higher education: A review. Assessment & Evaluation in Higher Education, 30(4), 325-341.

Tabak, F., & Nguyen, N. T. (2013). Technology acceptance and performance in online learning environments: Impact of self-regulation. Technology, 9(1), 116-130.

Thao, T. Q., Tham, D. M., & Ngan, H. T. T. (2019). Attitudes toward the use of TELL tools in English language learning among Vietnamese Tertiary English majors. VNU Journal of Social Sciences and Humanities, 5(5), 581-596.

Uccelli, P., Galloway, E. P., Barr, C. D., Meneses, A., & Dobbs, C. L. (2015). Beyond vocabulary: Exploring cross‐disciplinary academic‐language proficiency and its association with reading comprehension. Reading Research Quarterly, 50(3), 337-356.

Vogelsang, K., Steinhüser, M., & Hoppe, U. (2013). A qualitative approach to examine technology acceptance.

Wiyaka, W., Mujiyanto, J., & Rukmini, D. (2018). Students perception on the usefulness of ICT-based language program. English Language Teaching, 11(2), 53-60.

Woolley, G. (2011). Reading comprehension Reading Comprehension (pp. 15-34): Springer.

Zhao, L. (2015). The Influence of Learners’ Motivation and Attitudes on Second Language Teaching. Theory and Practice in Language Studies, 5(11), 2333-2339.




DOI: http://dx.doi.org/10.46827/ejel.v6i2.3453

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