2020
DOI: 10.1109/tlt.2019.2896966
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Group Optimization to Maximize Peer Assessment Accuracy Using Item Response Theory and Integer Programming

Abstract: With the wide spread large-scale e-learning environments such as MOOCs, peer assessment has been popularly used to measure the learner ability. When the number of learners increases, peer assessment is often conducted by dividing learners into multiple groups to reduce the learner's assessment workload. However, in such cases, the peer assessment accuracy depends on the method of forming groups. To resolve that difficulty, this study proposes a group formation method to maximize peer assessment accuracy using … Show more

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Cited by 21 publications
(10 citation statements)
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References 65 publications
(67 reference statements)
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“…IRT has already been used in educational contexts to adapt the questions asked to the learners, for example with parametric exercises (Muñoz-Merino, Novillo, Delgado Kloos, 2018). In the case of MOOCs, IRT has been used to avoid cheating on graded tests (Alexandron et al, 2016;Meyer & Zhu, 2013), or to improve peer assignment in peer assessment activities (Uto, Nguyen, & Ueno, 2019;Uto, & Ueno, 2018). However, and to the best of the authors' knowledge, no research work has been published regarding the adaptation of questions through IRT in conversational agents.…”
Section: Adaptive Learningmentioning
confidence: 99%
“…IRT has already been used in educational contexts to adapt the questions asked to the learners, for example with parametric exercises (Muñoz-Merino, Novillo, Delgado Kloos, 2018). In the case of MOOCs, IRT has been used to avoid cheating on graded tests (Alexandron et al, 2016;Meyer & Zhu, 2013), or to improve peer assignment in peer assessment activities (Uto, Nguyen, & Ueno, 2019;Uto, & Ueno, 2018). However, and to the best of the authors' knowledge, no research work has been published regarding the adaptation of questions through IRT in conversational agents.…”
Section: Adaptive Learningmentioning
confidence: 99%
“…Concretely, the data can be defined as where is the rating categories, and x i j r = − 1 indicates missing data. Missing data occur in actual performance assessments because few raters are generally assigned to individual evaluation targets to lessen the scoring burden (Engelhard, 1997 ; Eckes, 2015 ; Ilhan, 2016 ; Uto et al, 2020 ). A typical rater assignment strategy is the rater-pair design (Eckes, 2015 ), which assigns two raters to each evaluation target.…”
Section: Performance Assessment Datamentioning
confidence: 99%
“…We assume the rate of missing data as a factor affecting linking accuracy because it affects parameter estimation accuracy (Uto, Duc Thien, & Ueno, 2020). Note that missing data occur in practice because few raters are generally assigned to individual evaluation targets to lessen raters' scoring burdens.…”
Section: Introductionmentioning
confidence: 99%
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“…. (Sukstrienwong, 2017;Haddadi et al, 2018;Bi, Mengyu et al, (Parsons, 2004) ‫رت‬ ‫دددددد‬ ‫وأشد‬ ، ‫ت‬ ‫الدراسددد‬ ‫عض‬ (Sridharan et al, 2019;Handayani & Genisa, 2019;Garcia-Souto, 2019;Babail & Adeh, 2019;Mohd et al, 2019) (Cheng & Hou,2015;Rosa et al, 2016;Sukstrienwong, 2017;Surahman et al, 2018;Mohd et al, 2019;Li & Grion, 2019;Wang et al, 2019;Cleves-Diaz, 2020;Wang et al, 2020) ‫ديمي‬ Chan, 2018;Haddadi et al, 2018;James et al, 2018;Bi et al, 2019;Babaii & Adeh, 2019;Fu, Lin & Hwang, 2019;Garcia-Souto, 2019;Handayani & Genisa, 2019;Sridharan et al, 2019;Uto et al, 2019) . (Sukstrienwong, 2017;Haddadi et al, 2018;Bi et al, Vanderhoven, E., Raes, A., Montrieux, H., Rotsaert, T., & Schellens, T. (2015).…”
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