%0 Journal Article %1 Al-Shanfari2020 %A Al-Shanfari, Lamiya %A Demmans Epp, Carrie %A Baber, Chris %A Nazir, Mahvish %D 2020 %J User Modeling and User-Adapted Interaction %K confidence open-learner-model open-student-model %N 1 %P 159--194 %R 10.1007/s11257-019-09253-4 %T Visualising alignment to support students' judgment of confidence in open learner models %U https://doi.org/10.1007/s11257-019-09253-4 %V 30 %X Knowledge monitoring is a component of metacognition which can help students regulate their own learning. In adaptive learning software, the system's model of the student can be presented as an open learner model (OLM) which is intended to enable monitoring processes. We explore how presenting alignment, between students' self-assessed confidence and the system's model of the student, supports knowledge monitoring. When students can see their confidence and their performance (either combined within one skill meter or expanded as two separate skill meters), their knowledge monitoring and performance improves, particularly for low-achieving students. These results indicate the importance of communicating the alignment between the system's evaluation of student performance and student confidence in the correctness of their answers as a means to support metacognitive skills.

@article{Al-Shanfari2020, abstract = {Knowledge monitoring is a component of metacognition which can help students regulate their own learning. In adaptive learning software, the system's model of the student can be presented as an open learner model (OLM) which is intended to enable monitoring processes. We explore how presenting alignment, between students' self-assessed confidence and the system's model of the student, supports knowledge monitoring. When students can see their confidence and their performance (either combined within one skill meter or expanded as two separate skill meters), their knowledge monitoring and performance improves, particularly for low-achieving students. These results indicate the importance of communicating the alignment between the system's evaluation of student performance and student confidence in the correctness of their answers as a means to support metacognitive skills.}, added-at = {2020-09-08T04:26:47.000+0200}, author = {Al-Shanfari, Lamiya and Demmans Epp, Carrie and Baber, Chris and Nazir, Mahvish}, biburl = {https://www.bibsonomy.org/bibtex/2ad796d9cc0aac71c08d7a2c99a8baf45/brusilovsky}, day = 01, description = {Visualising alignment to support students’ judgment of confidence in open learner models | SpringerLink}, doi = {10.1007/s11257-019-09253-4}, interhash = {3b240eba1b38bdac4b3db01f9dc913c6}, intrahash = {ad796d9cc0aac71c08d7a2c99a8baf45}, issn = {1573-1391}, journal = {User Modeling and User-Adapted Interaction}, keywords = {confidence open-learner-model open-student-model}, month = mar, number = 1, pages = {159--194}, timestamp = {2020-09-08T04:26:47.000+0200}, title = {Visualising alignment to support students' judgment of confidence in open learner models}, url = {https://doi.org/10.1007/s11257-019-09253-4}, volume = 30, year = 2020 }