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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
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Elizabeth Koh; Lishan Zhang; Alwyn Vwen Yen Lee; Hongye Wang – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence (AI) has the potential to revolutionize teaching and learning applications. This article examines the word cloud, a toolkit often used to scaffold teaching and learning for reflection, critical thinking, and content learning. Addressing the issues in traditional word clouds, semantic word clouds have been…
Descriptors: Vocabulary, Visual Aids, Electronic Publishing, Word Frequency
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Song, Yu; Lei, Shunwei; Hao, Tianyong; Lan, Zixin; Ding, Ying – Journal of Educational Computing Research, 2021
Due to benefits for teaching and learning, an increasing number of studies have focused on classroom dialogue and how to make it productive. Coding, in which the transcribed conversation is allocated to a set of features, is commonly employed to deal with the textual data arising from this dialogue. This is generally done manually and cannot…
Descriptors: Semantics, Classification, Classroom Communication, Dialogs (Language)