How to cite this paper
Afif, M. (2024). Examining the usability of mobile applications among undergraduate students using SUS and data mining techniques.International Journal of Data and Network Science, 8(3), 1801-1814.
Refrences
Abu Saa, A., Al-Emran, M., & Shaalan, K. (2019). Factors affecting students’ performance in higher education: a system-atic review of predictive data mining techniques. Technology, Knowledge and Learning, pp. 567-598.
Afif, M. (2023). Assessing Students' Perceptions of Mobile Applications Usability using System Usability Scale. Journal of Computer Science, 19(1), 11--19. doi: https://doi.org/10.3844/jcssp.2023.11.19
Afif, M. H. (2021). Evaluating PSAU mobile application based on people at the center of mobile application development (PACMAD) usability model: empirical investigation. Journal of Computer Science, 17(3), 275--283.
Al-Hagery, M. A., Alzaid, M. A., Alharbi, T. S., & Alhanaya, M. A. (2020). Data mining methods for detecting the most significant factors affecting students’ performance. International Journal of Information Technology and Computer Science (IJITCS), 12(5), 1-13.
Al-mayyan, H., & Al-Refai, S. (2020). An Approach to Evaluate Software Usability of E-Communication Application. In-ternational Journal of Computer Science and Information Security (IJCSIS), 18(2), 17-22.
Al-Omar, K. (2018). Evaluating the Usability and Learnability of the" Blackboard" LMS Using SUS and Data Mining. In 2018 Second International Conference on Computing Methodologies and Communication (ICCMC) (pp. 386--390). IEEE.
Az-zahra, H. M., Fauzi, N., & Kharisma, A. P. (2019). Evaluating E-marketplace mobile application based on people at the center of mobile application development (PACMAD) usability model. 2019 International Conference on Sustain-able Information Engineering and Technology (SIET) (pp. 72--77). IEEE.
Bangor et al. (2009). Determining what individual SUS scores mean: Adding an adjective rating scale. Journal of usability studies, 4(3), 114--123.
Bangor, A., Kortum, P. T., & Miller, J. T. (2008). An empirical evaluation of the system usability scale. Intl. Journal of Human--Computer Interaction, 24(6), 574--594.
Boza, B. C., Schiaffino, S., Teyseyre, A., & Godoy, D. (2014). An Approach for Knowledge Discovery in a Web Usability Context. In Proceedings of the 13th Brazilian Symposium on Human Factors in Computing Systems.
Brooke, J. (1996). SUS A quick and dirty usability scale. In P. W. Jordan, B. Thomas, I. L. McClelland, & B. Weerd-meester, Usability Evaluation In Industry (Vol. 189). CRC Press.
Brooke, J. (2013). SUS: a retrospective. Journal of usability studies, 8(2), 29-40.
El-Halees, A. M. (2014). Software Usability Evaluation Using Opinion. Journal of software, 9(2).
Fabil, N. B., Saleh, A., & Isamil, R. B. (2015). Extension of PACMAD model for usability evaluation metrics using Goal Question Metrics (GQM) approach. Journal of Theoretical and Applied Information Technology.
Goel, S., Nagpal, R., & Mehrotra., D. (2018). Mobile applications usability parameters: Taking an insight view. Infor-mation and Communication Technology for Sustainable Development (pp. 35--43). Singapore: Springer.
Gupta, M. K., & Chandra, P. (2020). A comprehensive survey of data mining. International Journal of Information Tech-nology, 4(12), 243-1257.
Han, J., Pei, J., & Kamber, M. (2022). Data mining: concepts and techniques. Morgan Kaufmann.
Harrison, R., Flood, D., & Duce, D. (2013). Usability of mobile applications: literature review and rationale for a new us-ability model. Journal of Interaction Science, 1, 1-16.
Hoehle, H., & Venkatesh, V. (2015). Mobile Application Usability Conceptualization and instrument development. MIS quarterly, 39(2), 435-472.
Iso, & ISO. (2018). 9241-11 (2018) Ergonomics of human-system interaction—part 11: usability: definitions and con-cepts. International Organization for Standardization. https://www. iso. org/obp/ui/\# iso: std: iso, 9241(11).
Kantardzic, M. (2011). Data mining: concepts, models, methods, and algorithms. John Wiley & Sons.
Kaya, A., Ozturk, R., & Gumussoy, C. A. (2019). Usability measurement of mobile applications with system usability scale (SUS). In Industrial engineering in the big data era (pp. 389--400). Springer.
Kortum, P., & Sorber, M. (2015). Measuring the Usability of Mobile Applications for Phones and Tablets. International Journal of Human–Computer Interaction, 31(8), 518--529. doi:https://doi.org/10.1080/10447318.2015.1064658
Kumar, B. A., & Goundar, M. S. (2019). Usability heuristics for mobile learning applications. Education and Information Technologies, 24(2), 1819--1833.
LIN, B., Cassee, N., Serebrenik, A., Bavota, G., Novielli, N., & Lanza, M. (2022). Opinion mining for software develop-ment: a systematic literature review. ACM Transactions on Software Engineering and Methodology (TOSEM), 31(3), 1-41.
Lumor, T., Pulkkinen, M., & Hirvonen, A. (2020). The actual adoption and use of mobile apps: The case of a higher edu-cation context. Americas Conference on Information Systems. Association for Information Systems.
Moumane, K., Idri, A., & Abran, A. (2016). Usability evaluation of mobile applications using ISO 9241 and ISO 25062 standards. SpringerPlus, 5(1), 1--15.
Nielsen, J. (1994). Usability inspection methods. Conference companion on Human factors in computing systems (pp. 413-414). ACM.
Nielsen, J., & Molich, R. (1990). Heuristic evaluation of user interfaces. Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 249-256). ACM. doi:https://doi.org/10.1145/97243.97281
Parsazadeh, N., Ali, R., Rezaei, M., & ZolfagharTehrani, S. (2018). The construction and validation of a usability evalua-tion survey for mobile learning environments. Studies in Educational Evaluation, 58, 97-111.
Sagar, K., & Saha, A. (2016). Enhancing Usability Inspection Through Data-Mining Techniques An Automated Approach for Detecting Usability Problem Patterns of Academic Websites. In International Conference on Intelligent Human Computer Interaction, IHCI 2016. Lecture Notes in Computer Science. 10127, pp. 229-247. Springer, Cham. doi:https://doi.org/10.1007/978-3-319-52503-7_19
Sagar, K., & Saha, A. (2017). Qualitative usability feature selection with ranking a novel approach for ranking the identi-fied usability problematic attributes for academic websites using data-mining techniques. Human-centric Computing and Information Sciences, 1-24.
Silfee, V. J., Waring, M. E., Boudreaux, E. D., Sadasivam, R. S., Mullen, S. P., Carey, J. L., . . . Pagoto, S. L. (2017). Methods for Evaluating the Content, Usability, and Efficacy of Commercial Mobile Health Apps. JMIR mHealth and uHealth, 5(12), e8758.
Vlachogianni, P., & Tselios, N. (2022). Perceived usability evaluation of educational technology using the System Usabil-ity Scale (SUS): A systematic review. Journal of Research on Technology in Education, 54(3), 392-409. doi:10.1080/15391523.2020.186793
Weichbroth, P. (2020). Usability of Mobile Applications: A Systematic Literature Study. IEEE Access, 8, 55563--55577.
Yağcı, M. (2022). Educational data mining: prediction of students' academic performance using machine learning algo-rithms. Smart Learning Environments, pp. 1-19.
Afif, M. (2023). Assessing Students' Perceptions of Mobile Applications Usability using System Usability Scale. Journal of Computer Science, 19(1), 11--19. doi: https://doi.org/10.3844/jcssp.2023.11.19
Afif, M. H. (2021). Evaluating PSAU mobile application based on people at the center of mobile application development (PACMAD) usability model: empirical investigation. Journal of Computer Science, 17(3), 275--283.
Al-Hagery, M. A., Alzaid, M. A., Alharbi, T. S., & Alhanaya, M. A. (2020). Data mining methods for detecting the most significant factors affecting students’ performance. International Journal of Information Technology and Computer Science (IJITCS), 12(5), 1-13.
Al-mayyan, H., & Al-Refai, S. (2020). An Approach to Evaluate Software Usability of E-Communication Application. In-ternational Journal of Computer Science and Information Security (IJCSIS), 18(2), 17-22.
Al-Omar, K. (2018). Evaluating the Usability and Learnability of the" Blackboard" LMS Using SUS and Data Mining. In 2018 Second International Conference on Computing Methodologies and Communication (ICCMC) (pp. 386--390). IEEE.
Az-zahra, H. M., Fauzi, N., & Kharisma, A. P. (2019). Evaluating E-marketplace mobile application based on people at the center of mobile application development (PACMAD) usability model. 2019 International Conference on Sustain-able Information Engineering and Technology (SIET) (pp. 72--77). IEEE.
Bangor et al. (2009). Determining what individual SUS scores mean: Adding an adjective rating scale. Journal of usability studies, 4(3), 114--123.
Bangor, A., Kortum, P. T., & Miller, J. T. (2008). An empirical evaluation of the system usability scale. Intl. Journal of Human--Computer Interaction, 24(6), 574--594.
Boza, B. C., Schiaffino, S., Teyseyre, A., & Godoy, D. (2014). An Approach for Knowledge Discovery in a Web Usability Context. In Proceedings of the 13th Brazilian Symposium on Human Factors in Computing Systems.
Brooke, J. (1996). SUS A quick and dirty usability scale. In P. W. Jordan, B. Thomas, I. L. McClelland, & B. Weerd-meester, Usability Evaluation In Industry (Vol. 189). CRC Press.
Brooke, J. (2013). SUS: a retrospective. Journal of usability studies, 8(2), 29-40.
El-Halees, A. M. (2014). Software Usability Evaluation Using Opinion. Journal of software, 9(2).
Fabil, N. B., Saleh, A., & Isamil, R. B. (2015). Extension of PACMAD model for usability evaluation metrics using Goal Question Metrics (GQM) approach. Journal of Theoretical and Applied Information Technology.
Goel, S., Nagpal, R., & Mehrotra., D. (2018). Mobile applications usability parameters: Taking an insight view. Infor-mation and Communication Technology for Sustainable Development (pp. 35--43). Singapore: Springer.
Gupta, M. K., & Chandra, P. (2020). A comprehensive survey of data mining. International Journal of Information Tech-nology, 4(12), 243-1257.
Han, J., Pei, J., & Kamber, M. (2022). Data mining: concepts and techniques. Morgan Kaufmann.
Harrison, R., Flood, D., & Duce, D. (2013). Usability of mobile applications: literature review and rationale for a new us-ability model. Journal of Interaction Science, 1, 1-16.
Hoehle, H., & Venkatesh, V. (2015). Mobile Application Usability Conceptualization and instrument development. MIS quarterly, 39(2), 435-472.
Iso, & ISO. (2018). 9241-11 (2018) Ergonomics of human-system interaction—part 11: usability: definitions and con-cepts. International Organization for Standardization. https://www. iso. org/obp/ui/\# iso: std: iso, 9241(11).
Kantardzic, M. (2011). Data mining: concepts, models, methods, and algorithms. John Wiley & Sons.
Kaya, A., Ozturk, R., & Gumussoy, C. A. (2019). Usability measurement of mobile applications with system usability scale (SUS). In Industrial engineering in the big data era (pp. 389--400). Springer.
Kortum, P., & Sorber, M. (2015). Measuring the Usability of Mobile Applications for Phones and Tablets. International Journal of Human–Computer Interaction, 31(8), 518--529. doi:https://doi.org/10.1080/10447318.2015.1064658
Kumar, B. A., & Goundar, M. S. (2019). Usability heuristics for mobile learning applications. Education and Information Technologies, 24(2), 1819--1833.
LIN, B., Cassee, N., Serebrenik, A., Bavota, G., Novielli, N., & Lanza, M. (2022). Opinion mining for software develop-ment: a systematic literature review. ACM Transactions on Software Engineering and Methodology (TOSEM), 31(3), 1-41.
Lumor, T., Pulkkinen, M., & Hirvonen, A. (2020). The actual adoption and use of mobile apps: The case of a higher edu-cation context. Americas Conference on Information Systems. Association for Information Systems.
Moumane, K., Idri, A., & Abran, A. (2016). Usability evaluation of mobile applications using ISO 9241 and ISO 25062 standards. SpringerPlus, 5(1), 1--15.
Nielsen, J. (1994). Usability inspection methods. Conference companion on Human factors in computing systems (pp. 413-414). ACM.
Nielsen, J., & Molich, R. (1990). Heuristic evaluation of user interfaces. Proceedings of the SIGCHI conference on Human factors in computing systems (pp. 249-256). ACM. doi:https://doi.org/10.1145/97243.97281
Parsazadeh, N., Ali, R., Rezaei, M., & ZolfagharTehrani, S. (2018). The construction and validation of a usability evalua-tion survey for mobile learning environments. Studies in Educational Evaluation, 58, 97-111.
Sagar, K., & Saha, A. (2016). Enhancing Usability Inspection Through Data-Mining Techniques An Automated Approach for Detecting Usability Problem Patterns of Academic Websites. In International Conference on Intelligent Human Computer Interaction, IHCI 2016. Lecture Notes in Computer Science. 10127, pp. 229-247. Springer, Cham. doi:https://doi.org/10.1007/978-3-319-52503-7_19
Sagar, K., & Saha, A. (2017). Qualitative usability feature selection with ranking a novel approach for ranking the identi-fied usability problematic attributes for academic websites using data-mining techniques. Human-centric Computing and Information Sciences, 1-24.
Silfee, V. J., Waring, M. E., Boudreaux, E. D., Sadasivam, R. S., Mullen, S. P., Carey, J. L., . . . Pagoto, S. L. (2017). Methods for Evaluating the Content, Usability, and Efficacy of Commercial Mobile Health Apps. JMIR mHealth and uHealth, 5(12), e8758.
Vlachogianni, P., & Tselios, N. (2022). Perceived usability evaluation of educational technology using the System Usabil-ity Scale (SUS): A systematic review. Journal of Research on Technology in Education, 54(3), 392-409. doi:10.1080/15391523.2020.186793
Weichbroth, P. (2020). Usability of Mobile Applications: A Systematic Literature Study. IEEE Access, 8, 55563--55577.
Yağcı, M. (2022). Educational data mining: prediction of students' academic performance using machine learning algo-rithms. Smart Learning Environments, pp. 1-19.