Με τη χρηματοδότηση της Ευρωπαϊκής Ένωσης. Οι απόψεις και οι γνώμες που διατυπώνονται εκφράζουν αποκλειστικά τις απόψεις των συντακτών και δεν αντιπροσωπεύουν κατ'ανάγκη τις απόψεις της Ευρωπαϊκής Ένωσης ή του Ευρωπαϊκού Εκτελεστικού Οργανισμού Εκπαίδευσης και Πολιτισμού (EACEA). Η Ευρωπαϊκή Ένωση και ο EACEA δεν μπορούν να θεωρηθούν υπεύθυνοι για τις εκφραζόμενες απόψεις. Αριθμός Έργου: 2023-1-NL01-KA220-HED-000155675. Μελέτη Περίπτωσης 23: Εμπειρίες από τη χρήση ενός προσαρμοστικού ευφυούς συστήματος για τη βελτίωση της απόδοσης των φοιτητών/φοιτητριών σε διαδικτυακά μαθήματα: μια μελέτη περίπτωσης σε μαθήματα Οικονομικών και Επιχειρήσεων General information Reference/Source: Guerrero-Roldán, A. E., Rodríguez-González, M. E., Bañeres, D., ElasriEjjaberi, A., & Cortadas, P. (2021). Experiences in the use of an adaptive intelligent system to enhance online learners’ performance: a case study in Economics and Business courses. International Journal of Educational Technology in Higher Education, 18(1). https://doi.org/10.1186/s41239-021-00271-0 Institution: Universitat Oberta de Catalunya, Spain (fully online, public institution). Course/subject: Two first-year courses in the BSc of Economics and Business program: Introduction to Enterprise and Markets and Behavior Aim: Researchers are developing an Early Warning System (EWS) called the Learning Intelligent System (LIS) to address the issue of student dropout and improve overall performance in online courses. Target group: Undergraduate students enrolled in the specified courses. Description of case Overview: - Problem: Universities, especially ones that are fully online, often see students struggle and drop out of courses. This can happen for many reasons – maybe the student is new and overwhelmed, or the workload is unexpectedly heavy. - Possible solution: The Universitat Oberta de Catalunya in Spain is developing a special computer system called the Learning Intelligent System (LIS) to address this problem. The LIS is designed to help students stay on track and succeed in their courses. - How LIS Works: - It watches how students are doing throughout the course. - It uses past student data to predict if someone might be struggling. - It shows students and teachers how things are going with a simple "traffic light" system. - It sends personalised messages to students who may need some extra help. Research: - Researchers tested the LIS in two economics courses over two semesters. - Researchers compared students' grades and how many dropped out when the LIS was used to a semester when it wasn't. - Researchers also asked students what they thought of the LIS system in a survey.
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