Cite
Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi‐text writing task.
MLA
Raković, Mladen, et al. “Harnessing the Potential of Trace Data and Linguistic Analysis to Predict Learner Performance in a Multi‐text Writing Task.” Journal of Computer Assisted Learning, vol. 39, no. 3, June 2023, pp. 703–18. EBSCOhost, https://doi.org/10.1111/jcal.12769.
APA
Raković, M., Iqbal, S., Li, T., Fan, Y., Singh, S., Surendrannair, S., Kilgour, J., van der Graaf, J., Lim, L., Molenaar, I., Bannert, M., Moore, J., & Gašević, D. (2023). Harnessing the potential of trace data and linguistic analysis to predict learner performance in a multi‐text writing task. Journal of Computer Assisted Learning, 39(3), 703–718. https://doi.org/10.1111/jcal.12769
Chicago
Raković, Mladen, Sehrish Iqbal, Tongguang Li, Yizhou Fan, Shaveen Singh, Surya Surendrannair, Jonathan Kilgour, et al. 2023. “Harnessing the Potential of Trace Data and Linguistic Analysis to Predict Learner Performance in a Multi‐text Writing Task.” Journal of Computer Assisted Learning 39 (3): 703–18. doi:10.1111/jcal.12769.