In studies on classroom teaching auto-evaluation, we have achieved some remarkable results in Classroom Attendance Auto-management, learning attention & facial expression auto-analysis. For further utilizing learning affects to auto-evaluate classroom teaching/learning effects, we watch a large number of classroom videos. Then, based on the stimulus-response mechanism, we use learning facial expressions & attention to categorize students’ learning affects (SLA) and construct a SLA transfer model. At last, we simply describe how to use SLA analysis results to auto-evaluate the classroom teaching/learning effects. This work lays a theoretical foundation for the studies on learning facial expressions and learning affects for classroom teaching/learning auto-evaluation.
| Published in | Science Journal of Education (Volume 6, Issue 3) |
| DOI | 10.11648/j.sjedu.20180603.12 |
| Page(s) | 81-86 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2018. Published by Science Publishing Group |
Learning Affect, Classroom Evaluation, Affect Modelling, Facial Expression Recognition
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APA Style
Minyu Pan, Jing Wang, Zuying Luo. (2018). Modelling Study on Learning Affects for Classroom Teaching/Learning Auto-Evaluation. Science Journal of Education, 6(3), 81-86. https://doi.org/10.11648/j.sjedu.20180603.12
ACS Style
Minyu Pan; Jing Wang; Zuying Luo. Modelling Study on Learning Affects for Classroom Teaching/Learning Auto-Evaluation. Sci. J. Educ. 2018, 6(3), 81-86. doi: 10.11648/j.sjedu.20180603.12
AMA Style
Minyu Pan, Jing Wang, Zuying Luo. Modelling Study on Learning Affects for Classroom Teaching/Learning Auto-Evaluation. Sci J Educ. 2018;6(3):81-86. doi: 10.11648/j.sjedu.20180603.12
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Download@article{10.11648/j.sjedu.20180603.12,
author = {Minyu Pan and Jing Wang and Zuying Luo},
title = {Modelling Study on Learning Affects for Classroom Teaching/Learning Auto-Evaluation},
journal = {Science Journal of Education},
volume = {6},
number = {3},
pages = {81-86},
doi = {10.11648/j.sjedu.20180603.12},
url = {https://doi.org/10.11648/j.sjedu.20180603.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjedu.20180603.12},
abstract = {In studies on classroom teaching auto-evaluation, we have achieved some remarkable results in Classroom Attendance Auto-management, learning attention & facial expression auto-analysis. For further utilizing learning affects to auto-evaluate classroom teaching/learning effects, we watch a large number of classroom videos. Then, based on the stimulus-response mechanism, we use learning facial expressions & attention to categorize students’ learning affects (SLA) and construct a SLA transfer model. At last, we simply describe how to use SLA analysis results to auto-evaluate the classroom teaching/learning effects. This work lays a theoretical foundation for the studies on learning facial expressions and learning affects for classroom teaching/learning auto-evaluation.},
year = {2018}
}
TY - JOUR T1 - Modelling Study on Learning Affects for Classroom Teaching/Learning Auto-Evaluation AU - Minyu Pan AU - Jing Wang AU - Zuying Luo Y1 - 2018/06/20 PY - 2018 N1 - https://doi.org/10.11648/j.sjedu.20180603.12 DO - 10.11648/j.sjedu.20180603.12 T2 - Science Journal of Education JF - Science Journal of Education JO - Science Journal of Education SP - 81 EP - 86 PB - Science Publishing Group SN - 2329-0897 UR - https://doi.org/10.11648/j.sjedu.20180603.12 AB - In studies on classroom teaching auto-evaluation, we have achieved some remarkable results in Classroom Attendance Auto-management, learning attention & facial expression auto-analysis. For further utilizing learning affects to auto-evaluate classroom teaching/learning effects, we watch a large number of classroom videos. Then, based on the stimulus-response mechanism, we use learning facial expressions & attention to categorize students’ learning affects (SLA) and construct a SLA transfer model. At last, we simply describe how to use SLA analysis results to auto-evaluate the classroom teaching/learning effects. This work lays a theoretical foundation for the studies on learning facial expressions and learning affects for classroom teaching/learning auto-evaluation. VL - 6 IS - 3 ER -
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