TY - GEN
T1 - Control of variables strategy across phases of inquiry in virtual labs
AU - Perez, Sarah
AU - Massey-Allard, Jonathan
AU - Ives, Joss
AU - Butler, Deborah
AU - Bonn, Doug
AU - Bale, Jeff
AU - Roll, Ido
N1 - Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.
PY - 2018
Y1 - 2018
N2 - Control of Variables Strategy (CVS) is the process of isolating the effect of single variables when conducting scientific inquiry. We assess how CVS can help student achieve different levels of understanding when implemented in different parts of the inquiry process. 148 students worked with minimally-guided inquiry activities using virtual labs on two different physics topics. The virtual labs allowed for exploration, data collection, and graphical analysis. Using student log data, we identified how CVS manifests itself through these phases of students’ inquiry process. We found that students using CVS during data collection and plotting was associated with students achieving more qualitative and quantitative models, respectively. This did not hold, however, for more complicated mathematical relationships, emphasizing the importance of mathematical and graphical interpretation skills when doing CVS.
AB - Control of Variables Strategy (CVS) is the process of isolating the effect of single variables when conducting scientific inquiry. We assess how CVS can help student achieve different levels of understanding when implemented in different parts of the inquiry process. 148 students worked with minimally-guided inquiry activities using virtual labs on two different physics topics. The virtual labs allowed for exploration, data collection, and graphical analysis. Using student log data, we identified how CVS manifests itself through these phases of students’ inquiry process. We found that students using CVS during data collection and plotting was associated with students achieving more qualitative and quantitative models, respectively. This did not hold, however, for more complicated mathematical relationships, emphasizing the importance of mathematical and graphical interpretation skills when doing CVS.
KW - Control variable strategies
KW - Inquiry learning
KW - Virtual lab
UR - http://www.scopus.com/inward/record.url?scp=85049368397&partnerID=8YFLogxK
U2 - https://doi.org/10.1007/978-3-319-93846-2_50
DO - https://doi.org/10.1007/978-3-319-93846-2_50
M3 - منشور من مؤتمر
SN - 9783319938455
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 271
EP - 275
BT - Artificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings
A2 - Luckin, Rose
A2 - Porayska-Pomsta, Kaska
A2 - du Boulay, Benedict
A2 - Mavrikis, Manolis
A2 - Penstein Rosé, Carolyn
A2 - McLaren, Bruce
A2 - Martinez-Maldonado, Roberto
A2 - Hoppe, H. Ulrich
T2 - 19th International Conference on Artificial Intelligence in Education, AIED 2018
Y2 - 27 June 2018 through 30 June 2018
ER -