A Pugh Matrix framework for selecting effective CALL software in South African schools
Abstract
In recent years, digital technology integration in education, including language learning, has become widespread. South African schools are increasingly acknowledging the benefits of computer-assisted language learning (CALL) applications. Digital tools in educational materials offer advantages such as time efficiency, enhanced accessibility, flexible learning methods, and inclusivity for disabled individuals. However, there's a lack of appropriate guidelines for assessing and selecting CALL software due to the unique complexities it presents. To address this gap, the study developed a systematic framework, utilising a Pugh Matrix, tailored for South African educational contexts and beyond. This matrix was informed by guiding principles derived from iterative developmental research. A Likert scale survey validated these principles, influencing the weighting of assessment criteria. These criteria encompass curriculum alignment, feedback mechanisms, socio-cultural relevance, affordability, technical considerations, and pedagogical approaches. The developed Pugh Matrix serves as a comprehensive and objective tool for CALL software selection and evaluation. It empowers schools to make informed decisions aligned with their educational goals, instructional methods, technical needs, and budgetary constraints.
Downloads
References
Aguilar, S.J. (2020). A research-based approach for evaluating resources for transitioning to teaching online. Information and Learning Sciences, 121(5/6), 301-310. https://doi.org/10.1108/ILS-04-202s0-0072
Allen, E. & Seaman, J. (2014). Opening the curriculum: Open educational resources in US. Higher Education.
Bahari, A. (2021). Computer-assisted language proficiency assessment tools and strategies. Open Learning: The Journal of Open, Distance and e-Learning, 36(1),: 61-87. https://doi.org/10.1080/02680513.2020.1726738
Bailey, D. R., & Lee, A. R. (2020). Learning from experience in the midst of COVID-19: Benefits, challenges, and strategies in online teaching. Computer-Assisted Language Learning Electronic Journal, 21(2), 178-198.
Burge, S. (2011). The systems engineering tool box. https://www.burgehugheswalsh.co.uk/uploaded/1/documents/cd-tool-box-v1.0.pdf
Chetty, K., Qigui, L., Gcora, N., Josie, J., Wenwei, L. & Fang, C. (2018). Bridging the digital divide: Measuring digital literacy. Economics, 12(1), Article 2018-23. https://doi.org/10.5018/economics-ejournal.ja.2018-23
Chen, X., Zou, D., Xie, H.R. & Su, F. (2021). Twenty-five years of computer-assisted language learning: A topic modeling analysis. Language Learning & Technology, 25(3), 151–185. http://hdl.handle.net/10125/73454
Cervone, H.F. (2009). Managing digital libraries: the view from 30,000 feet, applied digital library project management-using Pareto analysis to determine task importance rankings. OCLC Systems and Services: International Digital Library Perspectives, 25(2), 76-81.
Ditaunyane, S.E. & Collins, G.W. (2023). Guiding principles for the appraisal of English-teaching software. Southern African Linguistics and Applied Language Studies, 41(1), 63-75. https://doi.org/10.2989/16073614.2023.2185983
Dube, B. (2020). Rural online learning in the context of COVID 19 in South Africa: Evoking an inclusive education approach. REMIE: Multidisciplinary Journal of Educational Research, 10(2), 135-157. https://doi.org/10.447/remie.2020.5607
Goncalves, G., Oliveira, T., & Cruz-Jesus, F. (2018). Understanding individual-level digital divide: Evidence of an African country. Computers in Human Behavior, 87, 276-291. https://doi.org/10.1016/j.chb.2018.05.039
Haleem, A., Javaid, M., Qadri, M.A. & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3, 275-285. https://doi.org/10.1016/j.susoc.2022.05.004
Hubbard, P. (2006). Evaluating CALL software. In L.Ducate & N.Arnold (Eds.), Calling on CALL: From theory and research to new directions in foreign language teaching (pp. 313-338). Computer Assisted Language Instruction Consortium.
Lee, K.C. (2001, June 1–2). Selecting and integrating CALL software programs into the EFL classrooms [Conference presentation]. The Information Technology and Multimedia in English Language Teaching Conference, Hung Hom, Kowloon, Hong Kong.
Lu, J., Schmidt, M., Lee, M. & Huang, R. (2022). Usability research in educational technology: A state-of-the-art systematic review. Educational Technology Research and Development, 70(6), 1951-1992. https://doi.org/10.1007/s11423-022-10152-6
Maceviciute, E. & Wilson, T.D. (2018). Digital means for reducing digital inequality: Literature review. Informing Science: The International Journal of an Emerging Transdiscipline, 21, 269-287. https://doi.org/10.28945/4117
Qureshi, M.I., Khan, N., Raza, H., Imran, A. & Ismail, F. (2021). Digital technologies in education 4.0. Does it enhance the effectiveness of learning? International Journal of Interactive Mobile Technologies 15(4), 31–47. https://doi.org/10.3991/ijim.v15i04.20291
Valverde-Berrocoso, J., Acevedo-Borrega, J. & Cerezo-Pizarro, M. (2022). Educational technology and student performance: A systematic review. Frontiers in Education 7, Article 916502. https://doi.org/10.3389/feduc.2022.916502
Van de Werfhorst, H., Kessenich, E. & Geven, S. (2020). The digital divide in online education. Inequality in digital preparedness of students and schools before the start of the COVID-19 pandemic [Research paper]. Department of Sociology, University of Amsterdam. https://doi.org/10.31235/osf.io/58d6p
Copyright (c) 2024 Gary Collins, Shoadi Ezekiel Ditaunyane
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.