Computer programming skills are essential for a variety of disciplines in the fields of Science, Technology, Engineering and Mathematics (STEM). To support learning of programming in personalized ways, Programming Tutors (PTs) have been utilized in higher education contexts for decades. However, implementation of PTs with mobile devices has remained unexplored from both design and adoption standpoints. In this research, we designed, implemented, and trialled a PT based on Telegram Messenger. The tutor was introduced to a cohort of engineering freshmen (N= 227 ) in a computer programming course; however, it was introduced as an optional learning tool with no extrinsic incentives for fostering its adoption. Under these conditions, students’ activity with the tool was monitored for 11 days. A total of 99 students (44.7 % ) chose to use the tutor and did so at least once. In average, students who used the tutor solved 9.2 tasks out of a maximum of 18 (SD= 5.49 ). The use of notifications was found highly influential to motivate tutor use: within 3 days of a student receiving a reminder notification, 80.6% of responses to tasks were registered. The tutor scored a mean of 73.8 (SD= 13.81 ) in the Systems Usability Scale. Students suggestions for improvement emphasized the need for more elaborate feedback after submitting their responses to problems and leveling of task difficulty. Regarding the tutor’s best features, mobility and ease of use of the interface were found the most prominent.
|Title of host publication||Social Computing and Social Media|
|Subtitle of host publication||Applications in Education and Commerce - 14th International Conference, SCSM 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings|
|Publisher||Springer Science and Business Media Deutschland GmbH|
|Number of pages||18|
|State||Published - 2022|
|Event||14th International Conference on Social Computing and Social Media, SCSM 2022 Held as Part of the 24th HCI International Conference, HCII 2022 - Virtual, Online|
Duration: 26 Jun 2022 → 1 Jul 2022
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||14th International Conference on Social Computing and Social Media, SCSM 2022 Held as Part of the 24th HCI International Conference, HCII 2022|
|Period||26/06/22 → 1/07/22|
Bibliographical noteFunding Information:
We thank Dr. Alyssa F. Wise for her cooperation with this research. This research was funded by ANID/FONDECYT Initiation into Research grant 11160211.
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Instant messaging
- Programming tutor
- User study