Student Success is a software developed with the purpose of boosting the productivity of students and professors in the classroom.
Using data from the different Google Workspace for Education tools (Docs, Meet, Classroom…) the app displays several graphs with relevant information for decision making.
Additionally, its Machine Learning and IA algorithms predict the grade a student will get in next assignments, helping professors to identify at-risk students promptly.
Apart from all that, students’ and professors’ engagement in their classrooms is also measured by Student Success.
This is particularly useful to professors who want to identify the tasks that motivate students the most, and to directors who want to find out best practices among their teachers.
It allows professors…
- To identify behavioral patterns of students: when do they start working on a task? how much time do they devote to complete it?
- To identify students who are not performing well, enabling the creation of instructional intervention strategies.
- To evaluate students in a more precise way, taking into account factors which traditionally were impossible to measure.
- To adapt their classes to the real needs of students.
- To communicate more efficiently with families and students (tutoring)
- To communicate more efficiently with other faculty members.
There are several dashboards which display different graphs.
The higher your level of responsibility within the institution, the greater the number of dashboards you can access to.
This indicator measures the interest and motivation of students and professors. It is a number given on a scale 0-10.
It measures the interaction of a student with the different documents and tasks uploaded to Classroom.
It is the average engagement of the students in the Classroom.
t is calculated by looking at variables such as the time it takes a professor to answer her students’ questions.
It can be measured by Classroom, but general professor engagement is the average engagement in each one of her Classrooms.
A student is at risk when Student Success predicts he will fail a Classroom.
Thanks to Machine Learning algorithms we are able to identify the field to which a specific classroom belongs to (Science, Technology, Engineering, Mathematics – Humanities, Arts, Social Sciences)
Also, we use the average engagement and average grades of a student to construct his STEM-HASS profile. This helps professors to guide students better when proposing professional or academic alternatives.
Student Success is available in English, Spanish, Italian and Bulgarian.
The administrator will assign a different rol to each member of the institution; they can be either director, professor or student. Depending on their rol, each member will have access to different dashboards. Additionally, the administrator will have to indicate what professors work as tutors, and which students belong to their classes.
In the case of an institution with several schools, the administrator will have to categorize users by school, in order to avoid confusion.
The administrator will also be responsible for setting the academic calendar.
Every user will have access to the academic calendar set by the administrator; however, he will also have the option to create his own personal calendar, different from the institutional one.
Considering that Student Success contains plenty of data, the conclusions an institution can get from the app are almost endless.
However, here we present some questions that could help schools to better understand the potential of our software:
Sometimes it is hard to know what students really think about a professor or the way she teaches a class. However, getting to know this information is crucial for the improvement of existing classes, and the development of new ones.
That is the reason why we are developing this new functionality, which will encourage students to speak freely and anonymously.
Making use of Natural Language Processing (NLP) and Machine Learning, the professor will only get to know the sentiment of the comment left by the student, but he will not have access to the comment itself.
We are aware that academic performance is highly affected by factors from the personal life of students. If their physical or mental health is not good, their grades will most likely decrease.
Because of that, we are developing this functionality by which students will have to grade different aspects of their life on a scale 1-5.
Also, they will have the option to leave comments if they need to explain anything more extensively.
Currently, Student Success can only extract data from the Google Workspace for Education tools (Docs, Meet, Classroom…)
However, we are aware that not all schools make an extensive use of them; and it is precisely this, which has motivated us to work towards the integration of our software with some other LMS.
Student Success wants to offer the best experience to its users; because of that, we want to hear from you.
If your school has implemented Student Success we want to know how the process has been, what difficulties have you faced over the adoption period, and what functionalities from our app have impacted positively on your teaching.
We also would like to know if there is something you are missing from our dashboards: a specific chart, graph or data. Anything that can help you to manage your school better.
Contact us through the e-mail: