Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Fati Wu"'
Publikováno v:
2023 IEEE 12th International Conference on Educational and Information Technology (ICEIT).
Publikováno v:
2022 Eleventh International Conference of Educational Innovation through Technology (EITT).
Publikováno v:
Journal of Educational Technology Development and Exchange. 14:91-106
With the deepening of classroom teaching reform, blended collaborative learning has become a common collaborative learning method, and its significance and value has been verified by many parties. However, there is still a lack of quantitative analys
Publikováno v:
IEEE Transactions on Learning Technologies. 13:26-37
Adaptive e-learning can be used to personalize learning environment for students to meet their individual demands. Individual differences depend on the students’ personality traits. Numerous studies have indicated that understanding the role of per
Publikováno v:
Distance Education. 40:330-349
Open, flexible and distance learning has become part of mainstream education in China. Using a blended learning program in a Chinese high school as the case, this study adopted data-mining approach...
Publikováno v:
2020 Ninth International Conference of Educational Innovation through Technology (EITT).
How to use meaningful learning features to predict learning outcomes is a key issue in learning analytics. With feature engineering, this study constructed a feature set, including eight effective learning features about interactions of student-stude
Publikováno v:
2019 International Joint Conference on Information, Media and Engineering (IJCIME).
Educational data mining can extract useful information from students' reading data to predict their reading performance. This study aims to present a model for the identification of students who are likely to fail in reading. To improve predictive pe
Publikováno v:
2019 International Joint Conference on Information, Media and Engineering (IJCIME).
For the students, poor time-use habits can easily lead to academic failure. The online learning environment is full of learning resources, and students are not able to get monitor and guide of the teachers face-to-face. Therefore, students are expect
Publikováno v:
2019 International Joint Conference on Information, Media and Engineering (IJCIME).
Students' mastery level of knowledge points is an important indicator reflecting their learning situations. Obtaining the mastery level of knowledge points is an important basis for realizing students' individualized learning and for improving studen
Publikováno v:
2019 Eighth International Conference on Educational Innovation through Technology (EITT).
In recent years, there has been an increasing interest in analyzing online learning behavior data to understand students' learning patterns. However, little empirical evidence has been reported about the associations among meaningful posts and instru