Counts of specific tool-use events (WorkTime, Command, Compile, Editor, Profiler, IDE) correlate positively and significantly with final course grade¶

Claim · All claims
Evidence · 1 study (2 entries) · associational r1 · q2
Currency · newest study 2012 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Among 79 students with covs ≥ 0.40, six of the analyzed event factors show a positive and significant correlation with the final grade (p < 0.05), with WorkTime the strongest (rs = 0.43, r² = 0.18). → Romero-Zaldivar 2012 q2 i? Browser 'Visit URL' events do not reliably reflect course involvement, and 'Debugger' events were rare, suggesting students systematically ignored advice to use that tool. → Romero-Zaldivar 2012 (2)

Evidence¶

Romero-Zaldivar 2012¶

Romero-Zaldivar, V.-A., Pardo, A., Burgos, D., & Delgado Kloos, C. (2012). Monitoring student progress using virtual appliances: A case study. Computers & Education, 58(4), 1058–1067. https://doi.org/10.1016/j.compedu.2011.12.003

q2 · i? · associational · r1

Bivariate correlation analysis (Table 3, Nstudents = 79) of event counts versus final course grade. The six significant factors include WorkTime (rs = 0.43), Compile (0.40), Editor (0.37), Profiler (0.37), Command (0.27) and IDE (0.26); the article reports the six factors "show a positive and signi ficant correlation with the student grade ( p < 0.05)". No standardized effect size beyond the printed rs values is reported.

"Six of the analyzed factors show a positive and signi ficant correlation with the student grade ( p < 0.05)."

Romero-Zaldivar 2012 (2)¶

Romero-Zaldivar, V.-A., Pardo, A., Burgos, D., & Delgado Kloos, C. (2012). Monitoring student progress using virtual appliances: A case study. Computers & Education, 58(4), 1058–1067. https://doi.org/10.1016/j.compedu.2011.12.003

q2 · i? · associational · r1

Interpretation of the bivariate results (Table 3): Debugger correlates weakly and non-significantly (rs = 0.13, p = 0.24), and Visit URL is non-significant (rs = 0.17, p = 0.13) because browser use may be unrelated to the course. No effect size threshold applies; correlations are as printed.

"The last factor, “Debugger”, r e flects an interesting situation. Although students are encouraged to use this tool for convenience, the low event count suggests that the advice is being systematically ignored."

Discussion¶

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