Design Challenge

ROLE

Project Manager, Researcher, Wireframing, Graphic Designer

TOOLS

Trello, Octalysis, Adobe Photoshop, Illustrator, InDesign, Balsamiq, Visual Studio Code

TEAM

1 Researcher, 2 UX Designers, 2 Front-end Developers & 1 Back-end Developer

Assignment

How much sense does it make to go to class, if you are only at Instagram at school, and how can you (positively) influence students behavior during their study time to result in higher efficiency and a positive contribution to general well-being.


Did you spent your time well? How can you be coached to continue this? And if not, how can you be coached to improve your time spent?

Outcome

The end-result will include a text-based chatbot for your phone (prototype) that contributes to the above goals, as well as a 2-page paper and visual poster to present research results.


In our group the main focus will be on creating motivation through a digital concept, where students gets the help they need to study and thrive.

research subject & findings (bold is my findings)

Motivation

• Motivation comes from goals, pride, succes and future

• The Octalysis is a usefull tool to gamificate through motivation

• Psychological investment in learning = engagement

• Student engagement depends on teachers

Efficiency

• The ability to do things well, successfully, and without waste

• Efficiency because of intrinsic or extrinsic motivation

• Personal goal-achievers, competitive achievers ect.

• How to create motivation depends on the end-goal

Conversational Agent

• In education: A passing trend or a valuable pedagogical tool?

• Chatbots are only limited to what we humans can imagine

• Inspiration: Bee, Poncho, Replika, Miao, Bruce, Lucy, Alex

• Students dont want a FAQ bot, but a Conversatinal Agent

Emotions vs. Personality

• Better feedback when CA's personality is similar to owner

• Preferable if chatbot can respond with emotions

• Interfaces with embodied characters are often preferred

• We can use student forums to get ideas for FAQ

Data & GDPR

• Plain language explanation of what you are collecting and why

• Think about what data you really need to run the application.

• Certain types of data are deemed as ‘special’ under the GDPR.

• Data like religion, trade union membership, political beliefs ect

Brainstorm based on research (everyone)

brainstorm-1

BLUE ONES marks the subjects we wanted to contunie researching while the GREEN ONES where the main subjects in the upcoming survey.

Target group

The survey will be send to students of all ages. They got experience, problems, habits, hobbies we might be able to use for this project. When performing the user tests we decided to narrow down the target group:


• Freshments

• ICT and Business students

• Study at Fontys

• Need help in their study

• Wants to perform better in their study

Survey

This method is quick and inexpensive, however it can be difficult to obtain reliable results. We used the survey to get quantitative information from a larger sample of our target group.


From this we learned more about their daily schedules, motivations, preferred medias, distractions, the importance of the teachers and getting proper feedback, where they like to study and much more. These insigts is used in shaping the interview questions.

Interviews with students from Fontys

student-profiles

Based in the research and the survey, we made the interview questions. We interviewed 6 students. Their answers will help us create different student profiles. The profiles (personas) will be used to narrow down the focus, to a more specific problem we can solve with the conversational agent. Below you will see some of the important findings from the interviews:

Findings and things to consider

Problem: Not all students have a lot of classes and spend more time studying by themselves.


Example: 2 students have fewer classes, long deadlines and less group work than individually work.


Suggestion: Students that have more individual work than classes and group-work should get more school related activities / social events notifications.

Problem: Some students can work for hours, while others get easier distracted. Getting back to work after a break can also be a challenge.


Example: 2 students have a hard time getting started or getting back to work after a break.


Suggestion: Working with a studdy buddy that says “let get back to work”, together with helpfull study techniques.

Problem: Students sometimes postpone work to go out with friends to do sports, traveling, or partying.


Example: Everyone argues that is important to not isolate yourself during heavy study periods. But It’s important to get back to studies after a social break.


Suggestion: In the app, it should be possible to see how many are online at the same time as you, to reduce FOMO.

Problem: Long deadlines can be hard to meet. Having deadlines is a great motivator to study and finish assignments.


Example: Everyone gets motivated by small deadlines. 2 students will create deadlines for themselves if it’s not in their schedule.


Suggestion: The bot should encourage users to create small deadlines, by filling up the agenda in the app.

Persona 1 Persona 1

First concept

The first concept had a lot of features, like; FAQ, Newsfeed, Insights, Rewards / Badges, Scoreboard, Healthy student behavior, Agenda, Notifications from Agenda, Communication with teachers, Nudging, Screentime, Studentprofile and techniques based on this.


We were trying to cover all problems we found through the research and with the Personas. But when you try to help everyone, you sometimes end up helping no one.

Gamification & Octalysis

We also used the Personas to make a Customer Journey Map (image on right).


We wanted to incooperate Gamification to the app, so we worked a lot with the Octalysis, trying to add motivation through gamification.


As you will see in the design below (by Lisa), the original idea was to keep score between classmates and classes, to compete against other students.

Customer Journey Map

Feedback with Rens (client)

Rens (client) first off all wanted us to keep it simple. In the first concept we have a lot of different features besides the Conversational Agent. Trying to make the bot motivating students is too complicated, while the new concepts focus is manageable and measurable.


Thinking big within the limited timeframe we have is idealistic. To be realistic we boiled the concept down to a more narrow and simple solution. Floris and Mick has developed a prototype which you can try out here.

New concept & target group

The objective is to get students to school everyday. It will include features like information on trains to make sure the student gets to school on time. The student can set goals, get visualized data and use built-in study techniques.


The new target group will be: first years that are demotivated, who doesn’t attend school enough, but wants the help to become a better student. Chadbot will register the amount of time the student is on the schools WiFi, to keep track of time spend on school.

Chadbot Poster

Exhibition Poster

To sum up what Chadbot is, I have made this poster.


January 27th my internship starts i Vienna. This means I will not participate in the exhibition February 7th. This will be my contribution to the final demonstration of our project.