| Row ID | Full name in Chinese/中文全名 | Full name in English/英文全名 | Gender/性別 | Current Year of Study/目前就讀的年級 |
|---|---|---|---|---|
| 1 | 黄琬晴 | Ally Clover Ng | Female/女性 | Grade 9 (Secondary 3)/中學九年級（中三） |
| 2 | 郑莉璇 | Chang Li Xuan Raeanne | Female/女性 | Grade 9 (Secondary 3)/中學九年級（中三） |
As group projects become more common, it is increasingly apparent how louder voices will dominate and quieter ones will fade into the background. It can sometimes be difficult for teachers to notice this, for example, who's contributing what, who is taking charge, and who is being left behind beyond visible contributions, essential learning points, misunderstanding, motivation, or disengagement that can go unnoticed in group discussions. These socio-emotional dynamics can significantly affect students' individual learning and their behaviour in group settings. If teachers do not understand these behind-the-scenes dynamics, it can lead to quieter students being under-supported and weaker collaboration skills overall.
AI tools like Natural Language Processing (NLP) can pick up on phrases that show cooperation or leadership, as well as positive and negative emotional tones. By using techniques like text classification, sentiment analysis, which can also help give teachers real-time feedback, and real-time transcription, AI can convert conversations into written form and organise them into meaningful insights. Speaker diarisation makes sure each person's voice is recognised, ensuring everyone's contributions are heard. NLP can also highlight key phrases like "building on your point" or "I suggest we," showing who's actively involved. In larger or noisy groups, speaker diarisation helps pinpoint who's speaking, while tools like Google Docs can track written contributions through edit history. Voice-to-text makes it easy to follow along with both verbal and written input. With the help of Generative AI, this data can be turned into helpful visuals, like pie charts and timelines, offering real-time insights for teachers. To make it more practical in the classroom, ceiling-mounted microphones combined with signal processing,to reduce noise, cancel echoes, and level sound, will ensure clearer audio. This solution allows teachers to track participation, spot leaders, and promote a more balanced group environment.
Artificial intelligence tools like Natural Language Processing (NLP), transcription AI, and speaker diarisation are perfect because they provide real-time, objective feedback on group dynamics so that no student gets overlooked. These tools can track spoken and written contributions by students, allowing instructors and teachers to track participation without needing to rely on subjective judgment. NLP captures key phrases that indicate leadership and collaboration, while speaker diarisation and recognition identify individual voices, allowing us to ensure no student goes unnoticed. This keeps louder peers from overshadowing quieter ones. By combining them with applications like Google Docs, which tracks edits, these software solutions offer an end-to-end approach to monitoring spoken and written contributions, making it easier for teachers to identify leadership, foster inclusivity, and ensure equity of participation. The combination of real-time data, fine-grained analysis, and visibility through all project stages renders this solution the most effective and transparent one.
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