Level-Based Learning Algorithm Based on the Difficulty Level of the Test Problem
| Autor: | Seongsoo Cho, Chang-Pyoung Han, You-Sik Hong |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Technology
Computer science QH301-705.5 QC1-999 02 engineering and technology Software 0202 electrical engineering electronic engineering information engineering Fuzzy reasoning General Materials Science Biology (General) music recommendation algorithm online university Instrumentation QD1-999 e-learning software Fluid Flow and Transfer Processes Basis (linear algebra) business.industry Process Chemistry and Technology Physics 05 social sciences General Engineering 050301 education Test method Engineering (General). Civil engineering (General) fuzzy reasoning Computer Science Applications Test (assessment) Chemistry learning algorithm Order (business) 020201 artificial intelligence & image processing TA1-2040 business 0503 education Algorithm |
| Zdroj: | Applied Sciences Volume 11 Issue 10 Applied Sciences, Vol 11, Iss 4380, p 4380 (2021) |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app11104380 |
| Popis: | These days, because of the coronavirus, all countries are introducing online university systems. Online universities have the advantage of allowing students to take classes anytime, anywhere, 24 h a day, but lectures are given in a non-face-to-face manner between instructors and students. Thus, while students are taking classes on a web-based basis, the problem arises that concentration on the lectures is significantly reduced. Therefore, in order to solve these problems, in this paper, we propose a level-wise learning algorithm based on the difficulty level of the test problem, and we present the simulation results. In order to improve this problem, in this paper, we propose an automatic music recommendation algorithm based on fuzzy reasoning that can improve the level of learning and lecture concentration, and we show our results on developing a web-based, smart e-learning software. As a result of computer simulation, it was proved that the learning test method, considering by level the difficulty of the test and the incorrect answer rate, was more effective than the existing test method, judged the student’s grades fairly, and improved the risk of unfairly failing the test by 30%. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|