Learning Management Platform is a comprehensive learning solution for higher education institutions, schools, bootcamps, and enterprises. It employs active learning, machine intelligence, and automated content generation to facilitate digital transformation in education.
- Dashboard enhancement
- Fixed issues and improvements
In this release, we continued improving Dashboard. We added new filters to the chat in the Archive part.
Now users can filter chat messages in Archive by these fields:
- Confirmed by Proctor
- Technical issues
- AI alerts (it allows a user to filter messages by a certain alert)
Fixed issues and improvements
We also made the following issue fixes and improvements:
- Fixed the problems with the messages encoding in the chat between a learner and a proctor.
- Removed unnecessary blurring of exam questions after reconnecting the camera. Now when the camera reconnects successfully, the questions are displayed in the normal way.
- Updated the information page that is displayed if a user tries to use Internet Explorer to pass exams. The page now contains a clear message with a list of supported web browsers.
- Made several internal changes and released a new version of Active Proctor Secure Browser. It is more functional and faster.
- Ability to comment on code in shared sessions
- Java and Go programming languages support
Ability to comment on code in shared sessions
Now learners can add comments on the code that they create during collaborative coding sessions. They can ask questions in these comments, suggest edits, respond to others’ comments, share their ideas, and so on. Thus, learners engage in discussions and enrich each other’s learning experience.
Comments are displayed in a separate panel. Each comment quotes a code section to which it refers. Users can jump to a location in the code simply by clicking on the respective quotation. After a discussion ends, the comment’s author can resolve the comment thread.
Java and Go programming languages support
Now authors can create coding labs in Java and Go. Such labs contain a default set of programming exercises and auto-tests, which the author can customize.
- Lab content in multiple languages
Lab content in multiple languages
Now Virtual Lab supports creating content in a wide range of languages, which increases the audience reach.
Authors can add translations to any lab and specify a default language for them. The default language is used as the source language for all translations. The structure of a lab (the environment used, number of tasks, and steps) remains the same for any translation; only the instructions for learners differ.
Authors can switch between different translations and track the translation item statuses for any language (Not translated, Translated, and Translation approved). Changes to a content item in the source language lead to this item’s status updates in all the translation languages. This ensures that all translations are up-to-date and synchronized with the original content.
Also, we added an auto-translation option. In case authors do not want to wait for professional translations, they can quickly generate content for the added languages using the built-in auto-translation.
When a learner starts a lab, the lab content language is automatically selected based on the language settings of the learner’s LMS or browser. The learner can also change the language of the lab. Their selection will be used in the following sessions.