evaexam Features

evasys Features

evasys evaluation software helps its customers ‘listen’ to the student voice in order to take information-driven actions to achieve teaching and learning improvements.

evaexam Features

evasys Features

evasys evaluation software helps its customers ‘listen’ to the student voice in order to take information-driven actions to achieve teaching and learning improvements.

evasys features for course and module evaluation

Hybrid Survey/ Data Capture

Many organisations struggle with capturing high response rates rendering their efforts to gain insight from students meaningless.

We offer the option to work with paper or online surveys as a native functionality.

Full Connectivity to Student Systems

Getting the data in the right shape and being able to report effectively in an automated way requires full connectivity.

We offer a Restful API interface that allows central or local administrators access to predefined data sets and an interface to confirm data accuracy for use in further survey creation. Additionally, we have full LTI connectivity for interfacing with Virtual Learning Environments (VLE’s). Specific profiles and permissions can be defined through Single Sign-On Attributes.

Sentiment Analysis and Abusive Language Filters

One of the benefits of going online is that student comments can be made available for text analytics to identify sentiment, thematic trending as well as enabling redaction of abusive language. evasys is committed to triangulate structured (quantitative) as well as unstructured (Qualitative) data.

We offer Sentiment Analysis, Comment Categorisation, Thematic Analysis, Language Filters and the ability to remove the mention of named teaching staff.

Advanced Programme Analysis and Aggregate Reporting

Through dynamic analytics, evasys provides the ability to aggregate up module results to the programme in comparison with other factors such as previous semesters etc. Additionally, it can report on the responses of specific cohorts of students as to their opinions within the module itself.

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