GoReact

When a student passes from the LMS into GoReact, they have to accept 'terms of use'. For institutions who have signed a legal agreement with Echo360 on behalf of their end users, this should be skipped as it's not the responsibility of a student to accept legal terms of use in this scenario. Given that this acknowledgement is also part of the process by which students are provisioned into the GoReact activity, once this acknowledgement is skipped because it's not required, it will hopefully allow for the LMS course roster to be fully populated immediately in GoReact without needing students to have clicked through to GoReact first, as this step is an impediment for some use cases.

At the activity level, it would be great to be able to engage with the AI prior to the students accessing the activity so that the AI feedback is properly targeted to the assignment. For example, in health sciences, students are taught how to deliver bad news. There is a checklist of things that the student is expected to go through, and if this could be shared with the AI prior to the activity being released, it would help to ensure that the feedback being given is properly targeted to what the instructor is examining.

As an instructor I would like to prevent students from being able to watch back their own videos for a certain period of time. For example, if I am running an activity across a day with students participating at different times (i.e. Sarah at 9am, Jane at 10am, Bob at 11am, etc), I will often need to use the same questions/scenarios for each student and I don't want the students to be able to share any of that information with others. Of course they could verbally share that information - but making the video available would provide an extra layer of opportunity that we would like to avoid.

If the AI Feedback could also analyse things from the audio such as tone of voice and cadence of speech, that would be very helpful. In a counselling scenario for example, the student might say all the right things but delivery and tone of voice is key.

The AI feedback and the speech pattern analysis data in GoReact is great but it would be even greater if there was a summary given for each video, something that provides highlights from across all analysis that's been carried out.

One of the challenges of video-based online assessments is validating that the student on camera is the student who is being assessed. With large cohorts of students and online learning, the instructors/examiners will not always know the student. If there was an AI capability that could validate the student against their ID card that they present on screen, that would be incredibly helpful.

Sometimes the instructor will want the student to see the feedback but not see the grade. For example, the student has recorded their piece, the instructor has reviewed it and provided feedback, and they want the student to see that feedback and record a reflective piece within the activity. Potentially the self-reflective piece might mean that the instructor amends the grade. Splitting the feedback from the grades in terms of visibility inside GoReact would also be helpful when it comes to meeting expectations about when/how grades should be released to the student.

Institutions that use Microsoft Entra or Okta - or other SSO solutions - for single sign-on would like to be able to integrate with GoReact for authentication purposes, outside of the LMS auth workflow.

At present, with group activities, the initiating student (the one who begins the recording session or uploads the video) receives the value from direct grade passback via the LMS integration, but other members of the group don't receive anything and it needs to be manually populated in the LMS gradebook. It would be great if 1) all students in that group could receive the same grade via the LMS integration and 2) there were options to give different students different grades and have those pass back to the gradebook.

Using GoReact for public speaking, I run the speech for AI detection. I will be asking the students to attach their speech in the interim, but would like the ability to pull the transcript without timestamps to run through AI detection quickly and easily. Ethan Fife, Casper College