Student Advisor App
With the Quizmaster app Pepper and Yuki were used (i.e., copies of the robot model Pepper). The Student Advisor app is intended to provide students with feedback on their performance on the online content of the courses they attend. By accessing the learning platform used for this purpose, the robot can provide individually tailored feedback, advise students on their learning performance and then send the minute to the respective students by e-mail.
Description of the App
This application is not necessarily auditorium-bound and can thus also create freedom in classroom teaching. The aim of this application is to give the robot access to
the learner data collected through the digital components of courses (learner-analytics). As a result, the robot can put together a model, with the help of which an individual consultation with a
student can be conducted.
Prerequisites for such a consultation are reliable and secure data. The robot gets these from the databases of our learning platform, the "Virtual Linguistics Campus", the world's largest
learning platform for linguistic content. These are course occupancies and course results, test results in individual lessons or simply access to online material processing periods. With this data,
the robot can hold individual consultations.
The registration for the "robotic consultation" should ideally be done by face recognition. Unfortunately, the face recognition of the type of robot used is not yet reliable enough, so it could
easily lead to misjudgments.
The widget is only shown in the preview and not in edit mode.
Instead, the contact is made via a clear, machine-readable, but for people not understandable (and therefore not to be faked) code, the so-called QR code (Quick Response Code). At the click of a mouse, students can download their individual QR code from the learning platform and identify themselves with the robot. In a matter of seconds, the robot thus gains access to the general course data and the individual learner data and results in e.g. the following dialogue between the here anonymized student Lisa and our robot "Yuki":
Yuki: "Hello Lisa, I greet you. You are working excellently in the course "History of English."
Lisa: "Hello Yuki. Thank you for the praise. Do you have something to complain about? "
Yuki: "Not much. However, to be on the safe side, you should repeat the second Mastery Test on "Proto-Languages" again in order to achieve a higher percentage than the previous 75%. Do you
still have questions?"
Lisa: "When is the final exam?"
Yuki: "On February 16, 2019 at 10 o'clock."
That is how the consultation talks with robot "Yuki" approximately look. And not only that: the talks will be logged in the future and sent to the students by e-mail on request, a feature that is not provided in classic coach - student counseling.
Semantic Script
Program Components
Python code
Learn more about general programming here. In our programming we use only own Python scripts.
Database
To provide students with information about their courses as well as personalized feedback on their course performance, the robot needs data. By integrating the university courses in the VLC (Virtual Linguistic Campus) there is sufficient data material: The robot accesses a database modified for him with course information
(lecturer, tutors, ...), student information (name, e-mail, ...) as well as online course performances of the students (units, worksheets, ...). Since not all general information about the different
courses can be found in the VLC database, the "robot database" is expanded with additional information.
Robotic Email Account
To enable the robot to independently send the minutes to students and lecturers, he needs a valid (university) e-mail address. The emails are then sent via SMTP (Simple Mail Transfer Protocol).
QR code creation in the VLC account
A QR code (Quick Response) is a two-dimensional code that is very robust and unforgeable due to automatic error correction. Thus, every student can easily, quickly and clearly identify themself to
the robot.
Other components
A stable wifi connection is needed.
(The Student Advisor app as a flowchart)
Use and Evaluation
During the current winter semester 2018/2019, the Student Advisor App will be used and evaluated for the first time. The evaluation is running. Results are expected for March 2019 and will be available published i.a. here.
The freedom created by the Student Advisor App is obvious: Students can get to know their performances dialogically almost in real time, and teachers no longer have to deal with monotonous questions and answers during their consultations as well as during the attendance phases, eg. about exam dates, required achievements or other general questions about courses, instead they can devote themselves to more challenging scientific issues during their consultations.
Druckversion 