TY - JOUR
T1 - Lost in transition – Learning analytics on the transfer from knowledge acquisition to knowledge application in complex problem solving
AU - Nicolay, Björn
AU - Krieger, Florian
AU - Stadler, Matthias
AU - Gobert, Janice
AU - Greiff, Samuel
N1 - Funding Information:
This research was supported by a grant from the Fonds National de la Recherche Luxembourg (Luxembourgish National Research Found) [ CORE ‘TRIOPS’].
Funding Information:
This research was supported by a grant from the Fonds National de la Recherche Luxembourg (Luxembourgish National Research Found) [ CORE ‘TRIOPS’]. We would like to explicitly thank our Finnish colleagues for the possibility to analyze this large-scale dataset, which is based on Vainikainen (2014) .
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2021/2
Y1 - 2021/2
N2 - Since Complex Problem Solving (CPS) skills represent a key competence for educational success, they are of great relevance for learning analytics. More specifically, CPS serves as a pertinent showcase for addressing a crucial existing gap contemporary education is facing, the gap between students' ability to acquire and subsequently apply knowledge in uncertain situations, which are increasingly important in the 21st century. While the CPS process incorporates both the acquisition and application of knowledge, many earlier studies have focused on identifying the factors relevant for success in knowledge acquisition. Given the dearth of existing research on factors influencing a successful transition between both CPS phases, we investigated the rates of successful and unsuccessful knowledge transition over the course of nine CPS items in a sample of N = 1151 students in 9th grade. Results showed that many participants were unable to transition their knowledge from the acquisition to the application phase, which was presumably due to an inefficient mental model transfer. Furthermore, the likelihood of students being ‘lost in transition’ was higher in more complex items. Implications are discussed in light of learning analytics, and particularly with regard to the factors to be taken into account by future CPS training programs.
AB - Since Complex Problem Solving (CPS) skills represent a key competence for educational success, they are of great relevance for learning analytics. More specifically, CPS serves as a pertinent showcase for addressing a crucial existing gap contemporary education is facing, the gap between students' ability to acquire and subsequently apply knowledge in uncertain situations, which are increasingly important in the 21st century. While the CPS process incorporates both the acquisition and application of knowledge, many earlier studies have focused on identifying the factors relevant for success in knowledge acquisition. Given the dearth of existing research on factors influencing a successful transition between both CPS phases, we investigated the rates of successful and unsuccessful knowledge transition over the course of nine CPS items in a sample of N = 1151 students in 9th grade. Results showed that many participants were unable to transition their knowledge from the acquisition to the application phase, which was presumably due to an inefficient mental model transfer. Furthermore, the likelihood of students being ‘lost in transition’ was higher in more complex items. Implications are discussed in light of learning analytics, and particularly with regard to the factors to be taken into account by future CPS training programs.
KW - Assessment
KW - Complex problem solving
KW - Knowledge acquisition
KW - Knowledge application
KW - Learning analytics
KW - Mental models
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U2 - 10.1016/j.chb.2020.106594
DO - 10.1016/j.chb.2020.106594
M3 - Article
AN - SCOPUS:85094199460
SN - 0747-5632
VL - 115
JO - Computers in Human Behavior
JF - Computers in Human Behavior
M1 - 106594
ER -