Pregled bibliografske jedinice broj: 1280604
Partial SQL Query Assessment
Partial SQL Query Assessment // MIPRO 2023, 46th ICT and Electronics Convention, May 22 - 26, 2023 Opatija, Croatia / Skala, Karolj (ur.).
Opatija, Hrvatska: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2023. str. 1512-1517 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1280604 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Partial SQL Query Assessment
Autori
Fabijanić, Mario ; Mekterović, Igor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
MIPRO 2023, 46th ICT and Electronics Convention, May 22 - 26, 2023 Opatija, Croatia
/ Skala, Karolj - Opatija, Hrvatska : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2023, 1512-1517
Skup
MIPRO 2023, 46th ICT and Electronics Convention, May 22 - 26, 2023 Opatija, Croatia
Mjesto i datum
Opatija, Hrvatska, 22.05.2023. - 26.05.2023
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
SQL ; assessment ; fully-automated ; partial marks ; the configurable assessment process
Sažetak
Automated grading systems in education have been around for sixty years. They have found applications in areas such as online learning systems where virtually an unlimited number of users can test their knowledge that would not be possible to evaluate manually. Implementations within Massive Open Online Courses are a good practice in which users can do the self-testing, and get instant feedback, making the learning process more efficient. Within universities, automated grading systems allow teachers to evaluate solutions and provide feedback for thousands of submissions in a short time. This paper presents an overview of methods used in automatic SQL query evaluation systems, from early implementations when the goal was only to evaluate solutions binary, to today when they enable functionalities like partial and configurable evaluation, rich and customized feedback, learning analytics, learning pattern detection, code quality check, plagiarism detection. These methods are not exclusive, and combining different approaches makes an automated grading system more comprehensive and applicable. Automatic assessment system of SQL queries developed at Algebra University College will be presented as an example of a system which uses dynamic and static analysis, awards partial points, and gives feedback to students based on the wrong parts of their solutions.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Visoko učilište Algebra, Zagreb