@inproceedings{350ddab9f5c74973ab07c01deb26a681,
title = "Prior knowledge dwarfs hard work in achieving academic performance",
abstract = "In a final-year undergraduate course, study effort has insignificant positive influence on student performance. Prior knowledge alone accurately predicts student performance. We conjecture that prior knowledge gradually increases its influence on performance as students progress through a 4-year undergraduate program. To benefit students in latter study years, universities should allocate resources for freshmen to build solid study habits and background knowledge. Finally, our study shows that individual{\textquoteright}s choice between face-to-face lectures and recorded lectures has no bearing on student performance and cram study has limited benefits.",
keywords = "Academic performance, Background knowledge, Blended learning, Cram study, Effective study hours, Study effort, Study habits",
author = "Oliver Au and Raymond So and Lee, \{Lap Kei\}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 10th International Conference on Blended Learning, ICBL 2017 ; Conference date: 27-06-2017 Through 29-06-2017",
year = "2017",
doi = "10.1007/978-3-319-59360-9\_13",
language = "English",
isbn = "9783319593593",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "139--147",
editor = "Harrison Yang and Lam-for Kwok and Cheung, \{Simon K.S.\} and Lap-Kei Lee and Ma, \{Will W.K.\}",
booktitle = "Blended Learning",
}