The Role of Proctoring in Personalized Instruction
Overview
Authors
Affiliations
The effect of amount of student-proctor interaction was investigated within the framework of Keller's (1968) method of personalized instruction. College students enrolled in introductory psychology were randomly assigned to five groups: 0%, 25%, 50%, 75%, and 100%, reflecting the percentage of units on which each student was proctored. The results indicated that (a) the proctored students were superior to the non-proctored students as measured by final examination performance, (b) for the proctored groups, the amount of proctoring did not differentially affect final examination performance, and (c) the major effect of increased proctoring was an acceleration of the rate of progress through the course.
Optimized collusion prevention for online exams during social distancing.
Li M, Luo L, Sikdar S, Nizam N, Gao S, Shan H NPJ Sci Learn. 2021; 6(1):5.
PMID: 33649355 PMC: 7921656. DOI: 10.1038/s41539-020-00083-3.
Cook D Behav Anal. 2012; 13(1):67-77.
PMID: 22478051 PMC: 2733384. DOI: 10.1007/BF03392520.
Digitek coding and computer analysis of behavior observation data.
Haynes S, Wackwitz J J Appl Behav Anal. 1975; 8(4):475-7.
PMID: 16795511 PMC: 1311885. DOI: 10.1901/jaba.1975.8-475.
The effects of mastery criteria and assignment length on college student test performance.
Semb G J Appl Behav Anal. 1974; 7(1):61-9.
PMID: 16795466 PMC: 1311649. DOI: 10.1901/jaba.1974.7-61.
Gaynor J, Wolking W J Appl Behav Anal. 1974; 7(2):263-9.
PMID: 4436174 PMC: 1311965. DOI: 10.1901/jaba.1974.7-263.