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AI-driven Automatic Reports

AI-driven Automatic Reports

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Student report

The Beijing Consensus affirms that while AI provides opportunities to support teachers in their educational and pedagogical responsibilities, human interaction and collaboration between teachers and learners must remain at the core of the educational process.

Consequently, a big issue of affecting the quality of online learning is interaction and collaboration between teachers and learners. A frequently mentioned drawback is, in an online classroom, the teacher cannot sense students’ level of comprehension easily. In contrast, in an offline classroom, a teacher can always determine whether a student understands something or not just by interpreting their facial expressions and body languages.

To alleviate this, First Mate uses AI to help monitor students’ performance. Using visual and audio recognition algorithms, it can generate a customized report automatically for every student.

  1. It shows the student’s performance of verbal-expressions, such as solving problems.

  2. It shows the extent of engagement and other non-verbal expressions that are relevant to classroom performance.

  3. It highlights the moments when the student participates in classroom interactions, answering questions, playing games. This feature positively reinforces the students and improves class participation overall.

Self-Diagnostic report

In addition to generating the student report, WeClassroom also provides a report for teachers. It serves as benchmarks that guide the teacher to improve his pedagogy. Key indicators in the report remind the teacher to let the student express his ideas more, and to help the student to form good learning habits.

Key performance indicators include:

  1. How well the teacher conducted Q and A

  2. How well the teacher let the student explain how she solved a difficult question

  3. How well the teacher diagnosed the potential causes of the student’s mistakes

  4. How well the student did the exercise (if it is part of the class design)

  5. How well the student made a mind map (if it is part of the class design)

  6. How well the student took notes

These indicators were identified by experienced teachers. They are calculated using micro-level features the statistics of which are also visible to the teacher. Trying to get better scores in these indicators, a teacher will have to pay more attention to the student’s needs and make the session more interactive and personalized.