LETO - learning together
View the final Project Report of #class21 Team "LETO"
Find your study buddy - the right one!
LETO paired you with other students in your course to assist you in getting the answers you required and gain insights from your peers. We connected you with students who exhibited similar personality traits and learning types, so that the learning exchange ran even more smoothly.
You could learn more about us and find your learning partner on https://leto.ja.tum.de!
The background story
At university, the process of discovering a compatible learning partner - someone we could enjoy sharing knowledge with, exchange experiences, and provide mutual feedback - was progressively becoming challenging every year.
Several factors were identified as contributing to this dilemma:
- Large-scale university courses,
- Individualized schedules,
- Substantial distances between the campus and students' residences, and
- A lack of social events intended to foster connections.
These elements posed significant barriers to establishing relationships with everyone in a given course, thereby hindering students from locating an ideal learning partner.
Furthermore, the onslaught of the COVID-19 pandemic expedited the shift towards digitalization at a remarkable pace. While this allowed students to continue receiving educational content, it simultaneously exacerbated the difficulties of engaging in collaborative learning and locating a suitable learning partner.
Project progress
Bearing this in mind, the decision to alter the status quo was made. The objective was to render the learning process as enjoyable and effective as possible. Consequently, fellow TUM students were sought out and interviewed about the most prevalent challenges they encountered during their learning process and ways we could assist them.
These are the three points that were brought up most frequently and form the basis of our platform:
- "Helped me find learning buddies who were interested in the same topics or who took the same class, so that I could get the answers needed"
- "Helped me build a learning group to have a more productive idea exchange and knowledge construction"
- "Helped me gain better insights from peers and more experienced learners, so that I could accelerate my learning progress"
In order to ascertain what constitutes an ideal study companion, we consulted the current research literature and discovered that individuals who share similar personality traits and learning styles might be best suited for collaborative learning.
Current status
We had programmed LETO, designed questionnaires on personality traits and learning types, and had launched it in February 2022. Check it out!
When you signed up or when you were looking for a new study buddy, we asked you to answer a few questions about yourself. Based on your answers, we would look for a person in your course who was as similar to you as possible (when others had registered in your course). All your data had been stored on the LRZ servers in Germany and we didn't share your data with anyone outside this project group to guarantee you a maximum of privacy.
Then it was your turn to meet and brainstorm about how you wanted to proceed. Wondering how to start? We got you covered! Stay tuned for our Instagram account with helpful tips on how to stop procrastination and start learning effectively with your study buddy.
New website
Get started: https://leto.ja.tum.de
Student research project
In our scientific project, our goal was to address our research question:
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How significant was the correlation between matching scores and perceived match quality?
To accomplish this, we requested that participants disclose their matching scores and provide feedback regarding their impressions of the match. The matching score was a numerical value indicating the degree of similarity between two study buddies, taking into account their personality traits and learning types.
Team
- Philipp Patzelt / Sport and Health Sciences
- Sara-Luisa Reh / TUM Medicine & Informatics
- Valentin Roth / TUM SoM
- Wolf Thieme / Informatics
- Luca Mattes Wiehe / TUM SoM
- Nicolay Gerold / TUM SoM (former)
- Panarit Jahiri / Informatics (former)
- Zoya Kozlova / TUM EDU (former)
Tutors
- Matthias Lehner / TUM EDU
- Elena Tangocci / TUM EDU
Supervisors
Contact us
Email: leto(at)ja.tum.de