MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02161nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
ZW-GwMSU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20241111121241.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
241111b |||||||| |||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| International Standard Serial Number |
1469-7874 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
MSU |
| Language of cataloging |
English |
| Transcribing agency |
MSU |
| Description conventions |
rda |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
LB2300 ACT |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Victoria Beck |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Testing a model to predict online cheating—Much ado about nothing |
| Statement of responsibility, etc. |
created by Victoria Beck |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Thousand Oaks: |
| Name of producer, publisher, distributor, manufacturer |
Sage Publications, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2014. |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| Content type code |
txt |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| Media type code |
n |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| Carrier type code |
nc |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE |
|---|
| Title |
Active Learning in Higher Education |
| Volume/sequential designation |
Volume 15, number 1 , |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
Much has been written about student and faculty opinions on academic integrity in testing. Currently, concerns appear to focus more narrowly on online testing, generally based on anecdotal assumptions that online students are more likely to engage in academic dishonesty in testing than students in traditional on-campus courses. To address such assumptions, a statistical model to predict examination scores was recently used to predict academic dishonesty in testing. Using measures of human capital variables (for example, grade point average, class rank) to predict examination scores, the model provides for a comparison of R2 statistics. This model proposes that the more human capital variables explain variation in examination scores, the more likely the examination scores reflect students’ abilities and the less likely academic dishonesty was involved in testing. The only study to employ this model did provide some support for the assertion that lack of test monitoring in online courses may result in a greater degree of academic dishonesty. In this study, however, a further test of the predictive model resulted in contradictory findings. The disparate findings between prior research and the current study may have been due to the use of additional control variables and techniques designed to limit academic dishonesty in online testing. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Online cheating |
| Form subdivision |
Predicting academic dishonesty |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
doi.org/10.1177/1469787413514646 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Journal Article |