TY - JOUR
T1 - Computer-assisted assessment in open-ended activities through the analysis of traces
T2 - A proof of concept in statistics with R commander
AU - Calvo, Miquel
AU - Carnicer, Artur
AU - Cuadros, Jordi
AU - Martori, Francesc
AU - Miñarro, Antonio
AU - Serrano, Vanessa
N1 - Funding Information:
This project has been supported with funds from the REDICE program at Universitat de Barcelona (REDICE12 1743-01, REDICE-14-508) and from the CEI Aristos Campus Mundus 2015 (project ACM2016_26).
Publisher Copyright:
© 2019 The Author(s).
PY - 2019
Y1 - 2019
N2 - Open-ended tasks are common in Science, Technology, Engineering and Mathematics (STEM) education. However, as far as we know, no tools have been developed to assist in the assessment of the solution process of open-ended questions. In this paper, we propose the use of analysis of traces as a tool to address this need. To illustrate this approach, we developed a modified version of R Commander that collects traces of students' actions and described a way to analyze them by using regular expressions. We used this tool in an undergraduate introductory statistics course. The traces were analyzed by comparing them to predefined problem-solving steps, arranged by the instructor. The analyses provide information about the time students spent on the activity, their work intensity and the choices they made when solving open-ended questions. This automated assessment tool provides grades highly correlated to those obtained by a traditional test and traditional grading scheme.
AB - Open-ended tasks are common in Science, Technology, Engineering and Mathematics (STEM) education. However, as far as we know, no tools have been developed to assist in the assessment of the solution process of open-ended questions. In this paper, we propose the use of analysis of traces as a tool to address this need. To illustrate this approach, we developed a modified version of R Commander that collects traces of students' actions and described a way to analyze them by using regular expressions. We used this tool in an undergraduate introductory statistics course. The traces were analyzed by comparing them to predefined problem-solving steps, arranged by the instructor. The analyses provide information about the time students spent on the activity, their work intensity and the choices they made when solving open-ended questions. This automated assessment tool provides grades highly correlated to those obtained by a traditional test and traditional grading scheme.
KW - Computer-assisted assessment
KW - Learning analytics
KW - Open-ended activity
KW - R commander
KW - Statistics education
UR - http://www.scopus.com/inward/record.url?scp=85069478673&partnerID=8YFLogxK
U2 - 10.29333/ejmste/108456
DO - 10.29333/ejmste/108456
M3 - Article
AN - SCOPUS:85069478673
SN - 1305-8215
VL - 15
JO - Eurasia Journal of Mathematics, Science and Technology Education
JF - Eurasia Journal of Mathematics, Science and Technology Education
IS - 9
M1 - em1743
ER -