Technology in Education. Innovative Practices for the New Normal
6th International Conference on Technology in Education, ICTE 2023, Hong Kong, China, December 19–21, 2023, Proceedings
Article
This study introduced a multi-criteria decision-making methodology leveraging text mining and analytic hierarchy process (AHP) for online course quality evaluation based on students’ feedback texts. First, a h...
Article
Advancements in artificial intelligence (AI) have driven extensive research into develo** diverse multimodal data analysis approaches for smart healthcare. There is a scarcity of large-scale analysis of lite...
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Conventional unsupervised Fuzzy K-means methods (FKM) usually analyze the structure of data solely without considering the influence of label information carried by data, which limits the performance and stabilit...
Chapter and Conference Paper
In this paper, we propose a Weighted Cross-modal Aggregation network (WCAN) for rumor detection in order to combine highly correlated features in different modalities and obtain a unified representation in the...
Chapter and Conference Paper
Technological advancement of artificial intelligence enhances the quality of education. Sufficient and high-quality data are important elements in building accurate artificial intelligence models. The real-wor...
Chapter and Conference Paper
With the growing popularity of massive open online courses (MOOCs), there are many chances to analyze student-generated assessments of course content to learn more about the experiences of learners. Unstructur...
Chapter and Conference Paper
Emerging technologies have allowed researchers to easily access educational data, conduct data analysis, and predict students’ learning performance. However, the factors that are essential for the predictive m...
Book and Conference Proceedings
6th International Conference on Technology in Education, ICTE 2023, Hong Kong, China, December 19–21, 2023, Proceedings
Article
The pretrained large language models have been widely tested for their performance on some challenging tasks including arithmetic, commonsense, and symbolic reasoning. Recently how to combine LLMs with prompti...
Article
Labels play a central role in the text classification tasks. However, most studies has a lossy label encoding problem, in which the label will be represented by a meaningless and independent one-hot vector. Th...
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Social emotion classification is important for better capturing the preferences and perspectives of individual users to monitor public opinion and edit news. However, news reports have a strong domain dependen...
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Large imbalance often exists between the foreground points (i.e., objects) and the background points in outdoor LiDAR point clouds. It hinders cutting-edge detectors from focusing on informative areas to produ...
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Image smoothing is an important processing operation that highlights low-frequency structural parts of an image and suppresses the noise and high-frequency textures. In the paper, we post an intriguing questio...
Article
Semantic segmentation of point clouds, aiming to assign each point a semantic category, is critical to 3D scene understanding. Although significant advances in recent years, most of the existing methods still ...
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Intelligent bibliometrics, by providing sufficient statistical information based on large-scale literature data analytics, is promising for understanding innovative pathways, addressing meaningful insights wit...
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Peer, teacher, and self-feedback have been widely applied in English writing courses in higher education. However, few studies have used technology to activate the potential of feedback in project-based collab...
Chapter and Conference Paper
In recent years, online learning has become a viable alternative for learners worldwide to pursue higher education and gain advanced technical skills. In this work, we focused on data analysis to scrutinize th...
Chapter and Conference Paper
This paper focused on students’ learning experiences in a flipped data science class integrated with peer instruction and just-in-time teaching. University students in Hong Kong participated in the research du...
Chapter and Conference Paper
In this paper, we aim to identify the key attributes from secondary school students’ profiles that affect learning achievement. In particular, this work investigates and compares how demographics, school-relat...