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Understanding Student Procrastination via Mixture Models.

, , , , , and . EDM, International Educational Data Mining Society (IEDMS), (2018)

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Reduction of rejections in cold rolled strip welding by intelligent analysis of image and process data., , , and . ISDA, page 408-413. IEEE, (2011)The benefits and caveats of using clickstream data to understand student self-regulatory behaviors: opening the black box of learning processes, , , , , , , , , and . International Journal of Educational Technology in Higher Education, (April 2020)On the use of intelligent local resource management for improved virtualized resource provision: challenges, required features, and an approach., , and . HPCVirt@EuroSys, page 24-31. ACM, (2008)A Novel Digital Control Technique for Brushless DC Motor Drives., and . IEEE Trans. Ind. Electron., 54 (5): 2365-2373 (2007)The University facing the challenges of Climate Change: A virtual seminar for Climate Change Education., , , , , , , , , and 11 other author(s). TEEM, page 863-869. ACM, (2019)A low-tech solution to avoid the severe impact of transient errors on the IP interconnect., , , and . DSN, page 478-483. IEEE Computer Society, (2009)Understanding Student Procrastination via Mixture Models., , , , , and . EDM, International Educational Data Mining Society (IEDMS), (2018)Using Clickstream Data Mining Techniques to Understand and Support First-Generation College Students in an Online Chemistry Course., , , , , and . LAK, page 313-322. ACM, (2021)A Methodology to Determine the Effect of a Novel Modulation in the Reliability of an Automotive DC-Link Capacitor., , , , , and . IEEE Access, (2020)Does blended instruction enhance English language learning in developing countries? Evidence from Mexico., , , , , and . Br. J. Educ. Technol., 51 (1): 211-227 (2020)