Summarize Riff AI Bot Reflections with Copilot
#education #reflection #rifflection #copilot
In the video, the presenter introduces the use of Copilot to summarize findings and reflections from students or participants following a presentation on current technologies in English as a Foreign Language (EFL) using Riff Bot AI https://riffbot.ai. The focus is on how generative AI tools can create personalized and inclusive learning environments. The context is set around a presentation given in Bolivia, emphasizing the importance of student-centered learning.
The presenter navigates to their bot, which contains general information about the presentation, including the introductory text, opening questions, and context. The reflection length is set to Unlimited, allowing for comprehensive responses from participants. The chat preview feature enables the presenter to review previous interactions and analyze activity logs for insights.
While examining the activity logs, the presenter notes the option to show a specific number of logs or export them. However, they choose to proceed with Copilot to analyze the reflections. The AI assistant greets the presenter and asks what specific aspects of the reflections they wish to analyze, such as depth of reflection, common themes, learning progress, engagement level, and areas for improvement.
The presenter decides to analyze all aspects provided by Copilot and submits the request. The AI processes the information and begins to summarize the insights. The presenter eagerly awaits the results, highlighting the speed of the analysis.
Upon receiving the summary, the presenter discusses the depth of reflection noted in the responses. Some students provided superficial feedback, such as simply mentioning that the presentation was "amazing," indicating a lack of deeper reflection. Common themes that emerged included expressions of amazement and interest, alongside a strong desire for tools that save time and increase engagement in the classroom.
The presenter mentions that measuring learning progress from these reflections is challenging, as the session was not a formal course. However, they note that the engagement level appears high, supported by the length and detail of many participants’ responses. The AI's conversational style seems to encourage participation, making students feel more involved.
Areas for improvement are highlighted as well, with some students expressing a need for more guidance on how to provide specific examples and justify their responses. The presenter finds this aspect particularly noteworthy, suggesting it may be the most significant area for future focus.
In conclusion, the presenter encourages viewers to try Copilot for their own analysis of reflections, sharing that it can be a valuable tool in educational settings. They invite viewers to leave questions or feedback in the comments, emphasizing the importance of community engagement and sharing insights. The video serves as both a tutorial on using Copilot and an exploration of the reflections collected from the presentation.
