Qianqian Cai
Biographic Data
| ID | 8312775 |
|---|---|
| NAME | Qianqian Cai |
| GIVEN NAMES | Qianqian |
| FAMILY NAME | Cai |
| SIGNATURE | CAI Q |
| AFFILIATIONS | Beijing Language and Culture University |
| ORCID | 0000-0003-1661-7075 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
The Role of Self-Efficacy and Curiosity in Factors Influencing Learner Attitudes Toward Metaverse-Based Language Learning
Understanding learner attitudes toward Metaverse-based language learning is necessary for conducive learning environments. The study focused on how learners formed attitudes toward Metaverse-based language learning, especially through self-efficacy and curiosity. Activity theory was used to frame the analysis, while structural equation modeling and one open-ended qualitative question were combined to examine both the hypothesized relationships an…
Multimodal Meta-Learning for Early Rumor Detection Based on Few-Shot Learning
Rumors on social media platforms have a significant negative impact on society, making rumor detection increasingly critical. However, most existing methods focus on identifying rumors only after they have already spread widely and negative impacts have occurred. Therefore, identifying rumors in the early stages is necessary. Early rumor detection is typically characterized by limited spread and small sample sizes, making it impractical to rely o…
McFm
With the popularity of social media, users are able to express their opinions in multiple forms, such as text, audio, and video. Traditional unimodal sentiment analysis methods can no longer meet the processing requirements of such multisource heterogeneous data, which makes multimodal sentiment analysis a research hotspot. However, most existing methods rely on simple feature splicing or weighted fusion, neglecting the differences in the reliabi…
A bibliometric analysis of interaction in digital learning over sixteen years
Factors influencing engagement in EFL learning of higher education learners in blended learning environments
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Factors influencing engagement in EFL learning of higher education learners in blended learning environments
The Role of Self-Efficacy and Curiosity in Factors Influencing Learner Attitudes Toward Metaverse-Based Language Learning
Understanding learner attitudes toward Metaverse-based language learning is necessary for conducive learning environments. The study focused on how learners formed attitudes toward Metaverse-based language learning, especially through self-efficacy and curiosity. Activity theory was used to frame the analysis, while structural equation modeling and one open-ended qualitative question were combined to examine both the hypothesized relationships an…
Multimodal Meta-Learning for Early Rumor Detection Based on Few-Shot Learning
Rumors on social media platforms have a significant negative impact on society, making rumor detection increasingly critical. However, most existing methods focus on identifying rumors only after they have already spread widely and negative impacts have occurred. Therefore, identifying rumors in the early stages is necessary. Early rumor detection is typically characterized by limited spread and small sample sizes, making it impractical to rely o…
McFm
With the popularity of social media, users are able to express their opinions in multiple forms, such as text, audio, and video. Traditional unimodal sentiment analysis methods can no longer meet the processing requirements of such multisource heterogeneous data, which makes multimodal sentiment analysis a research hotspot. However, most existing methods rely on simple feature splicing or weighted fusion, neglecting the differences in the reliabi…
A bibliometric analysis of interaction in digital learning over sixteen years
Educational technology (2 works) · Online and Blended Learning (2 works) · Artificial Intelligence (1 work) · Binary classification (1 work) · Binary number (1 work) · Blended Learning (1 work) · Comprehension (1 work) · Computer Science (1 work) · Curiosity (1 work) · Digital Learning (1 work)