Naslov
The Prospect of Using Automatic Programming Assistant for Providing Direct Feedback in an Online Learning Environment

Autori
Jevtić, Marko ; Mladenović, Saša ; Zaharija, Goran

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
International Conference proceedings: New Perspectives in Science Education, 10th Edition / Kummert, Börge ; Kapelari, Suzanne ; Trencheva, Tereza ; Todorova, Tania ; et. al. - Bolonja : Filodiritto Publisher, 2021, 461-465

ISBN
979-12-80225-14-6

Skup
10th International Conference "New Perspectives in Science Education"

Mjesto i datum
Bologna, Italija, 18.03.2021. - 19.03.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
programming ; COVID-19 ; STEM education ; knowledge management ; adaptive learning ; automatic programming

Sažetak
Formal education systems worldwide were faced with the challenge of shifting from classroom to online e- learning platforms due to the COVID-19 lockdown. The shift forced teachers to spend additional time on digital content management, as well as on individual communication to gain insight into student’s cognition and provide feedback. In programming classes, especially at the university level, communication is often asynchronous. Since university students learn at their own pace, they run into issues that a teacher might have anticipated, but at different times and at different rates. Because communication is asynchronous, the need for teacher’s feedback disrupts student’s learning pace. In this paper, the application of a knowledge-driven feedbackproviding automatic- programming Artificially Intelligent Teaching Assistant (AITA) is proposed as a solution to that problem. By using cognitive maps, a teacher could manage knowledge, more precisely, the concepts, the competencies, and tasks that are a part of the programming curricula. Similarly, AITA could manage metaknowledge about student’s knowledge of concepts and competencies and would provide specific, direct feedback to students as the result in form of automatically generated programming code. Feedback would range from styling suggestions to fixes. This way, teachers would benefit from time savings, while students would benefit from adaptive learning mechanisms provided by AITA. This paper describes AITA’s system architecture and presents the results of pilot testing as an answer to the challenge of shifting from classroom to online e-learning platforms due to the COVID-19 lockdown. This contribution is suitable for an international audience and the abstract content is consistent with the NPSE 2021 Conference guidelines.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Pedagogija

POVEZANOST RADA