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Capability Assessment of Cultivating Innovative Talents for Higher Schools Based on Machine Learning
Rongjie Huang; Yusheng Sun; Zhifeng Zhang; Bo Wang; Junxia Ma; Yangyang Chu – International Journal of Information and Communication Technology Education, 2024
The innovation capability largely determines the initiative for future development of a region. Higher school is the main position for training innovative talents. Accurate and comprehensive assessment of innovation cultivation capability is an important basis of higher schools for continuous improvement. Thus, this paper focuses on assessing…
Descriptors: Models, Innovation, Higher Education, Evaluation
Yaohua Huang; Chengbo Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2024
This study combines link grammar (LG) detector with N-grammar model to analyze and evaluate grammar in compositions. And then the composition level is judged through information entropy. Finally, the composition score is calculated based on the overall composition level and grammar weight. The experimental results show that the combined weight of…
Descriptors: Grammar, Student Evaluation, Artificial Intelligence, Writing (Composition)
Wang, Dongfang – International Journal of Web-Based Learning and Teaching Technologies, 2023
The goal is to promote the healthy and stable development of music education in China. The time-frequency sequence topology in frequency domain can improve the effect of convolution operation. Therefore, this paper applies the above algorithms to classical music education, including the recognition of classical instruments, the feature extraction…
Descriptors: Foreign Countries, Music Education, Classical Music, Musical Instruments
Miaomiao Liu; Yixun Li; Yongqiang Su; Hong Li – Scientific Studies of Reading, 2024
Purpose: This study sought to 1) identify linguistic features important for Chinese text complexity with a theory-based and systematic approach, and 2) address how feature sets and algorithms affect the performance of Chinese text complexity models. Method: Texts from Chinese language arts textbooks from Grades 1 to 6 (N = 1,478) in Mainland China…
Descriptors: Difficulty Level, Textbooks, Algorithms, Artificial Intelligence
Pineda, Pedro; Steinhardt, Isabel – Teaching in Higher Education, 2023
Through co-occurrence analysis of 1139 documents (1964-2018) we identified discussions about the implementation of student teaching evaluation (SET). We found that: (1) Attention to SET originated in the US in the 1970s, spreading to German-speaking countries in the mid-1990s and continuing in China and Latin America in the early 2000s. (2) SET is…
Descriptors: Student Evaluation of Teacher Performance, Program Implementation, Higher Education, Educational History