The educational theory of “learning before teaching and the teaching depends on learning outcomes” gained widespread popularity among teachers and students in the growth trend of the current K12 online teaching. But there are still some problems to think about such as: what students should learn before teaching, how they learn it, the effects of class preparation and so on. It is also important to know how and what teaching methods teachers should adopt in accordance with students learning. Lexue 100 has done deep study by analyzing the above-mentioned issues and worked out its own solutions. We found that with the heuristic education, systematic exercises, seasonable rewards and answering services, each student could learn from the simple to harder ones at his own pace on Lexue 100 on-line learning platform. It also shows the improvements in students’ basic knowledge, skills in solving problems and interests of learning. Some experimental data will be provided. More importantly, the platform provided by Lexue 100 will combine teaching with learning greatly. “Internet plus Education” and the management of big data will make teaching, learning and supervision more rational, scientific, convenient and visual.
| Published in | Science Journal of Education (Volume 5, Issue 5) |
| DOI | 10.11648/j.sjedu.20170505.16 |
| Page(s) | 216-219 |
| 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), 2024. Published by Science Publishing Group |
Lexue 100, Learning Before Teaching, Teaching Depends on Learning Outcomes, Big Data, Intelligent Marking, Individuation
| [1] | Jiyou Jia (2017). Using data-mining technology to facilitate educational management in the era of artificial intelligence. Journal of Information Education 2017 (7): 1-2. |
| [2] | Jiyou Jia, Yueyang Yu. (2017). Analyzing Learning Activity Index and Online Learning Activity Index. Chinese Distance Education. 2017 (4): 15-2+56. |
| [3] | Jiyou Jia, Bilan Zhang, Zezhong Yan, Jun Ren, Baogui Cheng. (2017). The design of a web-based mathematics instruction system and its application effect in school teaching and learning. Chinese Distance Education. 2017 (3): 37-44. |
| [4] | Jiyou Jia, Yuhao Chen, Zhuhui Ding, Yin Bai, Baijie Yang, Mei Li, Ju Qi. (2013). Effects of an intelligent web-based English instruction system on students’ academic performance. Journal of Computer Assisted Learning. 29 (6): 556-568. |
| [5] | Jiyou Jia, Yuhao Chen, Zhuhui Ding, Yin Bai, Baijie Yang, Mei Li, Ju Qi. (2013). Effects of an intelligent web-based English instruction system on students’ academic performance. Journal of Computer Assisted Learning. 29 (6): 556-568. |
| [6] | Hartley S. (1978) Meta-analysis of the effects of individually paced instruction in mathematics [D]. Dissertation Abstracts International, 38, 4003. |
| [7] | Steenbergen-Hu, S., & Cooper, H. (2013). A meta-analysis of the effectiveness of intelligent tutoring systems on K–12 students’ mathematical learning. Journal of Educational Psychology, 105, 970-987. |
| [8] | Jiyou Jia, Bilan Zhang, Zezhong Yan, Jun Ren. (2017). Research on the Online Mathematics Teaching System and Its Application Effect. Distance Education. 2017 (3): 37-44+80. |
| [9] | Cheung, A. C. K. & Slavin, R. E. (2013). The effectiveness of educational technology applications for enhancing mathematics achievement in K-12 classrooms: A meta-analysis [J]. Educational Research Review, 9, 88-113. |
| [10] | Koedinger, K. R., Anderson, J. R., Hadley, W. H., & Mark, M. A. (1997). Intelligent tutoring goes to school in the big city. International Journal of Artificial Intelligence in Education, 8, 30-43. |
APA Style
Zezhong Yan, Shiming Ding, Xuemei Yu. (2017). The Application of and Thoughts on the Online Platform Based on Lexue’s 100 Big Data. Science Journal of Education, 5(5), 216-219. https://doi.org/10.11648/j.sjedu.20170505.16
ACS Style
Zezhong Yan; Shiming Ding; Xuemei Yu. The Application of and Thoughts on the Online Platform Based on Lexue’s 100 Big Data. Sci. J. Educ. 2017, 5(5), 216-219. doi: 10.11648/j.sjedu.20170505.16
AMA Style
Zezhong Yan, Shiming Ding, Xuemei Yu. The Application of and Thoughts on the Online Platform Based on Lexue’s 100 Big Data. Sci J Educ. 2017;5(5):216-219. doi: 10.11648/j.sjedu.20170505.16
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.sjedu.20170505.16,
author = {Zezhong Yan and Shiming Ding and Xuemei Yu},
title = {The Application of and Thoughts on the Online Platform Based on Lexue’s 100 Big Data},
journal = {Science Journal of Education},
volume = {5},
number = {5},
pages = {216-219},
doi = {10.11648/j.sjedu.20170505.16},
url = {https://doi.org/10.11648/j.sjedu.20170505.16},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjedu.20170505.16},
abstract = {The educational theory of “learning before teaching and the teaching depends on learning outcomes” gained widespread popularity among teachers and students in the growth trend of the current K12 online teaching. But there are still some problems to think about such as: what students should learn before teaching, how they learn it, the effects of class preparation and so on. It is also important to know how and what teaching methods teachers should adopt in accordance with students learning. Lexue 100 has done deep study by analyzing the above-mentioned issues and worked out its own solutions. We found that with the heuristic education, systematic exercises, seasonable rewards and answering services, each student could learn from the simple to harder ones at his own pace on Lexue 100 on-line learning platform. It also shows the improvements in students’ basic knowledge, skills in solving problems and interests of learning. Some experimental data will be provided. More importantly, the platform provided by Lexue 100 will combine teaching with learning greatly. “Internet plus Education” and the management of big data will make teaching, learning and supervision more rational, scientific, convenient and visual.},
year = {2017}
}
TY - JOUR T1 - The Application of and Thoughts on the Online Platform Based on Lexue’s 100 Big Data AU - Zezhong Yan AU - Shiming Ding AU - Xuemei Yu Y1 - 2017/11/15 PY - 2017 N1 - https://doi.org/10.11648/j.sjedu.20170505.16 DO - 10.11648/j.sjedu.20170505.16 T2 - Science Journal of Education JF - Science Journal of Education JO - Science Journal of Education SP - 216 EP - 219 PB - Science Publishing Group SN - 2329-0897 UR - https://doi.org/10.11648/j.sjedu.20170505.16 AB - The educational theory of “learning before teaching and the teaching depends on learning outcomes” gained widespread popularity among teachers and students in the growth trend of the current K12 online teaching. But there are still some problems to think about such as: what students should learn before teaching, how they learn it, the effects of class preparation and so on. It is also important to know how and what teaching methods teachers should adopt in accordance with students learning. Lexue 100 has done deep study by analyzing the above-mentioned issues and worked out its own solutions. We found that with the heuristic education, systematic exercises, seasonable rewards and answering services, each student could learn from the simple to harder ones at his own pace on Lexue 100 on-line learning platform. It also shows the improvements in students’ basic knowledge, skills in solving problems and interests of learning. Some experimental data will be provided. More importantly, the platform provided by Lexue 100 will combine teaching with learning greatly. “Internet plus Education” and the management of big data will make teaching, learning and supervision more rational, scientific, convenient and visual. VL - 5 IS - 5 ER -
Information
Email: