About this paper

Appears in:
Pages: 7799-7804
Publication year: 2016
ISBN: 978-84-608-5617-7
ISSN: 2340-1079
doi: 10.21125/inted.2016.0836

Conference name: 10th International Technology, Education and Development Conference
Dates: 7-9 March, 2016
Location: Valencia, Spain

PREDICTIVE STATISTICS APPLIED TO ATTENDANCE AND OUTCOMES AT THE COURSE LEVEL

V. Malbasa

University of Novi Sad (SERBIA)
Teachers have been systematically gathering attendance records, grading assignments, evaluate interaction and activity, etc., and in effect creating a systematic record of educational accomplishment. We propose an approach to extract information from records by analyzing them statistically, and interpret that information into useful knowledge about course outcomes. We provide several case studies in which we use statistical analysis to provide an unbiased understanding of attendance and grades data in relation to educational outcomes, or course final grades. The proposed approach provides insight into which graded educational activities were most indicative and informative in shaping final grades. It is robust to missing data such as late assignments, and scales from a single class towards the national level of education. Case study results indicate that it is possible to analyze attendance to review important lectures and examine generational trends if correlated records are available. Courses with significant in lab activities which can be related to other class assignments are susceptible to finer grained analysis of outcomes.
@InProceedings{MALBASA2016PRE,
author = {Malbasa, V.},
title = {PREDICTIVE STATISTICS APPLIED TO ATTENDANCE AND OUTCOMES AT THE COURSE LEVEL},
series = {10th International Technology, Education and Development Conference},
booktitle = {INTED2016 Proceedings},
isbn = {978-84-608-5617-7},
issn = {2340-1079},
doi = {10.21125/inted.2016.0836},
url = {http://dx.doi.org/10.21125/inted.2016.0836},
publisher = {IATED},
location = {Valencia, Spain},
month = {7-9 March, 2016},
year = {2016},
pages = {7799-7804}}
TY - CONF
AU - V. Malbasa
TI - PREDICTIVE STATISTICS APPLIED TO ATTENDANCE AND OUTCOMES AT THE COURSE LEVEL
SN - 978-84-608-5617-7/2340-1079
DO - 10.21125/inted.2016.0836
PY - 2016
Y1 - 7-9 March, 2016
CI - Valencia, Spain
JO - 10th International Technology, Education and Development Conference
JA - INTED2016 Proceedings
SP - 7799
EP - 7804
ER -
V. Malbasa (2016) PREDICTIVE STATISTICS APPLIED TO ATTENDANCE AND OUTCOMES AT THE COURSE LEVEL, INTED2016 Proceedings, pp. 7799-7804.
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