Investigating students’ online learning behavior with a learning analytic approach: field dependence/independence vs. holism/serialism

References

• Aljohani, N. R., Daud, A., Abbasi, R. A., Alowibdi, J. S., Basheri, M., & Aslam, M. A. (2019). An integrated framework for course adapted student learning analytics dashboard. Computers in Human Behavior, 92, 679–690. https://doi.org/10.1016/j.chb.2018.03.035
   Web of Science ®Google Scholar
• Allinson, C. W., & Hayes, J. (1996). The cognitive style index: A measure of intuition-analysis for organizational research. Journal of Management Studies, 33(1), 119–135. https://doi.org/10.1111/j.1467-6486.1996.tb00801.x
   Web of Science ®Google Scholar
• Allison, Paul D., & Liker, Jeffrey K. (1982). Analyzing sequential categorical data on dyadic interaction: A comment on Gottman. Psychological Bulletin, 91(2), 393–403. http://doi.org/10.1037/0033-2909.91.2.393
   Web of Science ®Google Scholar
• Arroyo, I., Burleson, W., Tai, M., Muldner, K., & Woolf, B. P. (2013). Gender differences in the use and benefit of advanced learning technologies for mathematics. Journal of Educational Psychology, 105(4), 957–969. https://doi.org/10.1037/a0032748
   Web of Science ®Google Scholar
• Bakeman, R., & Gottman, J. M. (1997). Observing interaction: An introduction to sequential analysis. Cambridge university press.
   Google Scholar
• Bakeman, R., & Quera, V. (2011). Sequential analysis and observational methods for the behavioral sciences. Cambridge University Press.
   Google Scholar
• Becker, B. (2013). Learning analytics: Insights into the natural learning behavior of our students. Behavioral & Social Sciences Librarian, 32(1), 63–67. https://doi.org/10.1080/01639269.2013.751804
   Google Scholar
• Bocchi, A., Giancola, M., Piccardi, L., Palmiero, M., Nori, R., & D’Amico, S. (2018). How would you describe a familiar route or put in order the landmarks along it? It depends on your cognitive style!. Experimental Brain Research, 236(12), 3121–3129. https://doi.org/10.1007/s00221-018-5367-3
   PubMed Web of Science ®Google Scholar
• Bouckenooghe, Dave, Cools, Eva, De Clercq, Dirk, Vanderheyden, Karlien, & Fatima, Tasneem. (2016). Exploring the impact of cognitive style profiles on different learning approaches: Empirical evidence for adopting a person-centered perspective. Learning and Individual Differences, 51, 299–306. http://doi.org/10.1016/j.lindif.2016.08.043
   Web of Science ®Google Scholar
• Buonfiglio, M., Toscano, M., Puledda, F., Avanzini, G., Di Clemente, L., Di Sabato, F., & Di Piero, V. (2015). Lack of habituation of evoked visual potentials in analytic information processing style: Evidence in healthy subjects. Neurological Sciences, 36(3), 391–395. https://doi.org/10.1007/s10072-014-1962-7
   PubMed Web of Science ®Google Scholar
• Chan, C. H., Hsieh, C. W., & Chen, Y. S. (2014). Cognitive styles and the use of electronic journals in a mobile context. Journal of Documentation, 70(6), 997–1014. http://doi.org/10.1108/JD-02-2014-0035
   Web of Science ®Google Scholar
• Chang, J. J., Lin, W. S., & Chen, H. R. (2019). How attention level and cognitive style affect learning in a MOOC environment? Based on the perspective of brainwave analysis. Computers in Human Behavior, 100, 209–217. https://doi.org/10.1016/j.chb.2018.08.016
   Web of Science ®Google Scholar
• Chen, S. Y., & Chang, L. P. (2016). The influences of cognitive styles on individual learning and collaborative learning. Innovations in Education and Teaching International, 53(4), 458–471. https://doi.org/10.1080/14703297.2014.931242
   Web of Science ®Google Scholar
• Chen, S. Y., & Macredie, R. D. (2002). Cognitive styles and hypermedia navigation: Development of a learning model. Journal of the American Society for Information Science and Technology, 53(1), 3–15. https://doi.org/10.1002/asi.10023
   Web of Science ®Google Scholar
• Chen, S. Y., Magoulas, G. D., & Dimakopoulos, D. (2005). A flexible interface design for web directories to accommodate different cognitive styles. Journal of the American Society for Information Science and Technology, 56(1), 70–83. https://doi.org/10.1002/asi.20103
   Web of Science ®Google Scholar
• Chen, S. Y., & Tseng, Y. F. (2019). The impacts of scaffolding e-assessment English learning: A cognitive style perspective. Computer Assisted Language Learning, 1–23. https://doi.org/10.1080/09588221.2019.1661853
   Google Scholar
• Chen, S. Y., & Yeh, C. C. (2017). The effects of cognitive styles on the use of hints in academic English: A learning analytics approach. Journal of Educational Technology & Society, 20(2), 251–264.
   Web of Science ®Google Scholar
• Cheng, L. C., & Chu, H. C. (2018). An innovative consensus map-embedded collaborative learning system for ER diagram learning: Sequential analysis of students’ learning achievements. Interactive Learning Environments, 27(3), 410–425. https://doi.org/10.1080/10494820.2018.1482357
   Web of Science ®Google Scholar
• Clewley, N, Chen, S. Y., & Liu, X. (2011). Mining Learning Preferences in Web-Based Instruction: Holists vs. Serialists. Educational Technology & Society, 14(4), 266–277.
   Web of Science ®Google Scholar
• Clewley, N., Chen, S. Y., & Liu, X. (2010). Cognitive styles and search engine preferences: Field dependence/independence vs holism/serialism. Journal of Documentation, 66(4), 585–603. https://doi.org/10.1108/00220411011052966
   Web of Science ®Google Scholar
• Determinants of the quality of life in Alzheimer’s disease patients as assessed by the Japanese version of the Quality of Life–Alzheimer’s Disease Scale. Dementia and Geriatric Cognitive Disorders, 21(3), 182–191.
   Google Scholar
• (1979). Final report of S.S.R.C. Research Programme HR 2708. Richmond, Surrey: System Research Ltd.
   Google Scholar
• Ford, N. (1985). Learning styles and strategies of postgraduate students. British Journal of Educational Technology, 16(1), 65–77. https://doi.org/10.1111/j.1467-8535.1985.tb00483.x
   Web of Science ®Google Scholar
• Ford, N., Wilson, T., Foster, A., Ellis, D., & Spink, A. (2002). Information seeking and mediated searching. Part 4. Cognitive styles in information seeking. Journal of the American Society for Information Science and Technology, 53(9), 728–735. https://doi.org/10.1002/asi.10084
   Web of Science ®Google Scholar
• Ford, N., Wood, F., & Walsh, C. (1994). Cognitive styles and searching. Online and CD-Rom Review, 18(2), 79–86. https://doi.org/10.1108/eb024480
   Web of Science ®Google Scholar
• Graff, M. (2003). Learning from web-based instructional systems and cognitive style. British Journal of Educational Technology, 34(4), 407–418. https://doi.org/10.1111/1467-8535.00338
   Web of Science ®Google Scholar
• Hogan, R., Orr, F., Fox, D., Cummins, A., & Foureur, M. (2018). Developing nursing and midwifery students’ capacity for coping with bullying and aggression in clinical settings: Students’ evaluation of a learning resource. Nurse Education in Practice, 29, 89–94. https://doi.org/10.1016/j.nepr.2017.12.002
   PubMed Web of Science ®Google Scholar
• Holzman, P. S., & Klein, G. S. (1954). Cognitive system-principles of leveling and sharpening: Individual differences in assimilation effects in visual time-error. The Journal of Psychology, 37(1), 105–122. https://doi.org/10.1080/00223980.1954.9916135
   Web of Science ®Google Scholar
• Hsieh, C. W., & Chen, S. Y. (2016). A cognitive style perspective to handheld devices: Customization vs. Personalization. The International Review of Research in Open and Distributed Learning, 17(1), 1–22. https://doi.org/10.19173/irrodl.v17i1.2168
   Web of Science ®Google Scholar
• Hsu, C. Y., Chiou, G. L., & Tsai, M. J. (2018). Visual behavior and self-efficacy of game playing: An eye movement analysis. Interactive Learning Environments, 942–952. https://doi.org/10.1080/10494820.2018.1504309
   Google Scholar
• Hwang, K., & Chen, M. (2017). Big-data analytics for cloud, IoT and cognitive computing. John Wiley & Sons.
   Google Scholar
• Idika, M. I. (2017). Influence of cognitive style and gender on secondary school students’ achievement and attitude to chemistry. Advances in Social Sciences Research Journal, 4(1), 129–139. https://doi.org/10.14738/assrj.41.2585
   Google Scholar
• Jonassen, DH, & Grabowski, B.L. (1993). Handbook of individual differences, learning, and instruction. Hillsdale: NJ: Erlbaum.
   Google Scholar
• Kagan, J. (1965). Reflection-impulsivity and reading ability in primary grade children. Child Development, 36(3), 609–628. https://doi.org/10.2307/1126908
   Google Scholar
• Kiewra, K. A., & Frank, B. M. (1988). Encoding and external-storage effects of personal lecture notes, skeletal notes, and detailed notes for field-independent and field-dependent learners. The Journal of Educational Research, 81(3), 143–148. https://doi.org/10.1080/00220671.1988.10885814
   Web of Science ®Google Scholar
• Kinley, K., Tjondronegoro, D., Partridge, H., & Edwards, S. (2014). Modeling users’ web search behavior and their cognitive styles. Journal of the Association for Information Science and Technology, 65(6), 1107–1123. https://doi.org/10.1002/asi.23053
   Web of Science ®Google Scholar
• Kucuk, S., & Sisman, B. (2017). Behavioral patterns of elementary students and teachers in one-to-one robotics instruction. Computers & Education, 111, 31–43. https://doi.org/10.1016/j.compedu.2017.04.002
   Web of Science ®Google Scholar
• Labib, A. E., Canós, J. H., & Penadés, M. C. (2017). On the way to learning style models integration: A learner's characteristics ontology. Computers in Human Behavior, 73, 433–445. https://doi.org/10.1016/j.chb.2017.03.054
   Web of Science ®Google Scholar
• Li, L. Y., & Tsai, C. C. (2017). Accessing online learning material: Quantitative behavior patterns and their effects on motivation and learning performance. Computers & Education, 114, 286–297. https://doi.org/10.1016/j.compedu.2017.07.007
   Web of Science ®Google Scholar
• Li, Y., & Yani, E. (2012). The research on learning behavior of Tibetan network teaching system. IERI Procedia, 2, 127–132. https://doi.org/10.1016/j.ieri.2012.06.062
   Google Scholar
• Liu, M., McKelroy, E., Corliss, S. B., & Carrigan, J. (2017). Investigating the effect of an adaptive learning intervention on students’ learning. Educational Technology Research and Development, 65(6), 1605–1625. https://doi.org/10.1007/s11423-017-9542-1
   Web of Science ®Google Scholar
• Lu, O. H., Huang, A. Y., Huang, J. C., Lin, A. J., Ogata, H., & Yang, S. J. (2018). Applying learning analytics for the early prediction of students’ academic performance in blended learning. Journal of Educational Technology & Society, 21(2), 220–232.
   Web of Science ®Google Scholar
• Lugli, L., Ragni, M., Piccardi, L., & Nori, R. (2017). Hypermedia navigation: Differences between spatial cognitive styles. Computers in Human Behavior, 66, 191–200. https://doi.org/10.1016/j.chb.2016.09.038
   Web of Science ®Google Scholar
• Mampadi, F., Chen, S. Y., Ghinea, G., & Chen, M. P. (2011). Design of adaptive hypermedia learning systems: A cognitive style approach. Computers & Education, 56(4), 1003–1011. https://doi.org/10.1016/j.compedu.2010.11.018
   Web of Science ®Google Scholar
• Matsui, T., Nakaaki, S., Murata, Y., Sato, J., Shinagawa, Y., Tatsumi, H., & Furukawa, T. A. (2006). Determinants of the quality of life in Alzheimer’s disease patients as assessed by the Japanese version of the quality of life – Alzheimer’s disease scale. Dementia and Geriatric Cognitive Disorders, 21(3), 182–191. https://doi.org/10.1159/000090744
   PubMed Web of Science ®Google Scholar
• Mawad, F., Trías, M., Giménez, A., Maiche, A., & Ares, G. (2015). Influence of cognitive style on information processing and selection of yogurt labels: Insights from an eye-tracking study. Food Research International, 74, 1–9. https://doi.org/10.1016/j.foodres.2015.04.023
   PubMed Web of Science ®Google Scholar
• Mefoh, P. C., & Ezeh, V. C. (2017). Effect of cognitive style on prospective-retrospective memory slips: Unipolar approach. Swiss Journal of Psychology, 76(1), 43–46. https://doi.org/10.1024/1421-0185/a000190
   Web of Science ®Google Scholar
• Oltman, P. K., Raskin, E., & Witkin, H. A. (1971). Group embedded figures test. Consulting Psychologists Press.
   Google Scholar
• Pask, G. (1976). Styles and strategies of learning. British Journal of Educational Psychology, 46(2), 128–148. https://doi.org/10.1111/j.2044-8279.1976.tb02305.x
   Web of Science ®Google Scholar
• Pohl, M., Wallner, G., & Kriglstein, S. (2016). Using lag-sequential analysis for understanding interaction sequences in visualizations. International Journal of Human-Computer Studies, 96, 54–66. https://doi.org/10.1016/j.ijhcs.2016.07.006
   Web of Science ®Google Scholar
• Reese, S. A. (2015). Online learning environments in higher education: Connectivism vs. Dissociation. Education and Information Technologies, 20(3), 579–588. https://doi.org/10.1007/s10639-013-9303-7
   Web of Science ®Google Scholar
• Riding, R., & Cheema, I. (1991). Cognitive styles—an overview and integration. Educational Psychology, 11(3-4), 193–215. https://doi.org/10.1080/0144341910110301
   Google Scholar
• Riding, Richard, & Sadler‐Smith, Eugene. (1992). Type of Instructional Material, Cognitive Style and Learning Performance. Educational Studies, 18(3), 323–340. http://doi.org/10.1080/0305569920180306
   Web of Science ®Google Scholar
• Riding, Richard J., & Sadler‐Smith, Eugene. (2002). Cognitive Style and Learning Strategies: Some Implications for Training Design. International Journal of Training and Development, 1(3), 199–208. http://doi.org/10.1111/ijtd.1997.1.issue-3 doi: 10.1111/1468-2419.00020
   Google Scholar
• Roberts, M. J., & Newton, E. J. (2001). Understanding strategy selection. International Journal of Human-Computer Studies, 54(1), 137–154. https://doi.org/10.1006/ijhc.2000.0434
   Web of Science ®Google Scholar
• Samulski, T. D., Taylor, L. A., La, T., Mehr, C. R., McGrath, C. M., & Wu, R. I. (2018). The utility of adaptive eLearning in cervical cytopathology education. Cancer Cytopathology, 126(2), 129–135. https://doi.org/10.1002/cncy.21942
   PubMed Web of Science ®Google Scholar
• Schumacher, C., & Ifenthaler, D. (2018). Features students really expect from learning analytics. Computers in Human Behavior, 78, 397–407. https://doi.org/10.1016/j.chb.2017.06.030
   Web of Science ®Google Scholar
• Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design. Learning and instruction, 4(4), 295–312. doi: 10.1016/0959-4752(94)90003-5
   Google Scholar
• Trisna, B. N., Budayasa, I. K., & Siswono, T. Y. E. (2018). Students’ metacognitive activities in solving the combinatorics problem: The experience of students with holist-serialist cognitive style. Journal of Physics: Conference Series, 947(1), 012072. https://doi.org/10.1088/1742-6596/947/1/012072
   Google Scholar
• Tsai, Y. H., Lin, C. P., Chiu, C. K., & Joe, S. W. (2009). Understanding learning behavior using location and prior performance as moderators. The Social Science Journal, 46(4), 787–799. https://doi.org/10.1016/j.soscij.2009.06.007
   Web of Science ®Google Scholar
• Tseng, H., Yi, X., & Yeh, H. T. (2019). Learning-related soft skills among online business students in higher education: Grade level and managerial role differences in self-regulation, motivation, and social skill. Computers in Human Behavior, 95, 179–186. https://doi.org/10.1016/j.chb.2018.11.035
   Web of Science ®Google Scholar
• Ubuz, B., & Aydınyer, Y. (2019). Project-based geometry learning: Knowledge and attitude of field-dependent/independent cognitive style students. The Journal of Educational Research, 112(3), 285–300. https://doi.org/10.1080/00220671.2018.1502138
   Web of Science ®Google Scholar
• Wang, T. H. (2014). Developing an assessment-centered e-learning system for improving student learning effectiveness. Computers & Education, 73, 189–203. https://doi.org/10.1016/j.compedu.2013.12.002
   Web of Science ®Google Scholar
• Wang, J. H., Chang, L. P., & Chen, S. Y. (2018). Effects of cognitive styles on web-based learning: Desktop computers versus mobile devices. Journal of Educational Computing Research, 56(5), 750–769. https://doi.org/10.1177/0735633117727598
   Web of Science ®Google Scholar
• Wilson, T. (1999). Exploring models of information behaviour: The ‘uncertainty’project. Information Processing & Management, 35(6), 839–849. https://doi.org/10.1016/S0306-4573(99)00029-1
   Web of Science ®Google Scholar
• Witkin, HA, Dyk, RB, Fattuson, HF, & Goodenough, DR. (1962). Psychological differentiation: Studies of development. Wiley.
   Google Scholar
• Witkin, Herman A., & Goodenough, Donald R. (1977). Field dependence and interpersonal behavior. Psychological Bulletin, 84(4), 661–689. http://doi.org/10.1037/0033-2909.84.4.661
   PubMed Web of Science ®Google Scholar
• Wu, S. Y., & Hou, H. T. (2015). How cognitive styles affect the learning behaviors of online problem-solving based discussion activity: A lag sequential analysis. Journal of Educational Computing Research, 52(2), 277–298. https://doi.org/10.1177/0735633115571307
   Web of Science ®Google Scholar
• Yang, T. C., Chen, M. C., & Chen, S. Y. (2018). The influences of self-regulated learning support and prior knowledge on improving learning performance. Computers & Education, 126, 37–52. https://doi.org/10.1016/j.compedu.2018.06.025
   Web of Science ®Google Scholar
• Zhang, L., & Hao, X. (2012). Research on user interest based on learning behavior analysis in the E-learning environment. In Proceedings of the 2012 3rd International Conference on E-Business and E-Government-Volume 05 (pp. 954–957). Massachusetts Ave, NW Washington, DC, United States: IEEE Computer Society.
   Google Scholar
• Zimmerman, Barry J. (1986). Becoming a self-regulated learner: Which are the key subprocesses? Contemporary Educational Psychology, 11(4), 307–313. http://doi.org/10.1016/0361-476X doi: 10.1016/0361-476X(86)90027-5
   Web of Science ®Google Scholar