A USE CASE FOR ARITHMETIC AUTO-GENERATIVE LEARNING OBJECTS IN PANDEMIC Cover Image

A USE CASE FOR ARITHMETIC AUTO-GENERATIVE LEARNING OBJECTS IN PANDEMIC
A USE CASE FOR ARITHMETIC AUTO-GENERATIVE LEARNING OBJECTS IN PANDEMIC

Author(s): Felicia-Mirabela Costea, Ciprian-Bogdan Chirilă, Vladimir-Ioan Crețu
Subject(s): Education, Health and medicine and law, ICT Information and Communications Technologies, Distance learning / e-learning
Published by: Carol I National Defence University Publishing House
Keywords: auto-generative learning objects; Arithmetic; intervals; inequations; Covid-19 pandemics;

Summary/Abstract: During the COVID-19 pandemic the educational processes were interrupted in most of the countries in the world. Governments switched from face-to-face education to online sessions using learning management systems and video and audio communication tools. Pupils connect to online classes using laptops, tablets, and sometimes using mobile phones. These methods are exhausting and tiring for the pupils, so a limit of half of the time used in the face-to-face classes was set for the online classes. This approach restricts the number of hours a tutor works directly with their students. Probably the theoretical aspects are presented to the class and then a limited set of examples are given. Normally, a tutor should check individually the activity of each pupil, but this is not possible because of the time restrictions. In this context learning objects and more specifically auto-generative learning objects complements the tutors by: i) proposing exercises to pupils; ii) grading automatically the pupil answers; and iii) offering feedbacks on the given answers. In this sense, we applied the proposed approach on a group of 8th grade, 50 pupils, at the Arithmetic disciplines focusing on intervals and inequations. We created nine auto-generative learning objects where reunion, intersection, the difference of intervals was exercised. We modeled learning objects for five types of inequations. The study shows that the proposed method's effectiveness is very close to the classic evaluation method. We collected the opinions of pupils in a satisfaction questionnaire about using auto-generative learning objects and the results state that 92% of pupils liked them.

  • Issue Year: 17/2021
  • Issue No: 02
  • Page Range: 129-136
  • Page Count: 8
  • Language: English