Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Guoguo Zheng"'
Autor:
R. Philip Chalmers, Guoguo Zheng
Publikováno v:
Applied Measurement in Education. 36:171-191
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccd4ad6a535ba4a5bd2731329bdac158
https://doi.org/10.1080/08957347.2023.2201703
https://doi.org/10.1080/08957347.2023.2201703
Publikováno v:
International Journal of Artificial Intelligence in Education.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23f890d4d5ba9a161751b2cfdb177dd9
https://doi.org/10.1007/s40593-022-00306-1
https://doi.org/10.1007/s40593-022-00306-1
Autor:
Selay Zor, Allan S. Cohen, Madeline Schellman, Elaine Duong, Guoguo Zheng, Jiawei Xiong, Jordan M. Wheeler, Seock-Ho Kim, Constanza Mardones
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783030747718
A review of various priors used in Bayesian estimation under the two-parameter logistic model is presented together with clear mathematical definitions of the prior distributions. Examples that compared Bayesian estimation methods are presented using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::519e1c4799f106db03e08135b6846e84
https://doi.org/10.1007/978-3-030-74772-5_28
https://doi.org/10.1007/978-3-030-74772-5_28
Publikováno v:
Proceedings of the 2019 The 2nd International Conference on Robotics, Control and Automation Engineering.
This paper presents a method to improve the robustness of SLAM system and to make full use of scene information for higher accuracy. Due to the strong illumination robustness of Hue in HSV space, we use Gaussian mixture model to improve matching perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7cbde608fd72e296bc20c3d8134bf89
https://doi.org/10.1145/3372047.3372068
https://doi.org/10.1145/3372047.3372068
Publikováno v:
Journal of Learning Analytics. 6
If we wish to embed assessment for accountability within instruction, we need to better understand the relative contribution of different types of learner data to statistical models that predict scores and discrete achievement levels on assessments u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3058315387d98842465ac62be553b717
https://doi.org/10.18608/jla.2019.62.11
https://doi.org/10.18608/jla.2019.62.11
Publikováno v:
Computers & Education. 160:104036
Students tend not to review test feedback or process it cognitively. We examined whether and how self-assessment enhanced engineering students' engagement in test feedback and academic performance, and whether and how the impact differed for high and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07ddfa1d66445a4ed0abbbac5206f8a3
https://doi.org/10.1016/j.compedu.2020.104036
https://doi.org/10.1016/j.compedu.2020.104036
Publikováno v:
LAK
If we wish to embed assessment for accountability within instruction, we need to better understand the relative contribution of different types of learner data to statistical models that predict scores on assessments used for accountability purposes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9704fdc22a6ee07477f6975bb5396bb
https://doi.org/10.1145/3170358.3170392
https://doi.org/10.1145/3170358.3170392
Publikováno v:
Reading Psychology. 37:392-423
This study aimed to develop and validate a measure of emergent reading motivation designed for prekindergarten children, called the Emergent Reading Motivation Scale (ERMS). The development of the ERMS was to overcome the limitation that current exis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e01dadedf5fe918f1af57ae0f2229af
https://doi.org/10.1080/02702711.2015.1057787
https://doi.org/10.1080/02702711.2015.1057787