Interactive Multimedia Kolb Experiential Learning Model Using Logistic Regression Algorithm to Improve Student Cognitive

Autor:	Munir, Rasim, Laksmi Dewi, Eka Fitrajaya Rahman, Azizah Nurul Khoirunnisa
Rok vydání:	2021
Předmět:	education.field_of_study Class (computer programming) business.industry Population Sample (statistics) Cognition Logistic regression Experiential learning ComputingMilieux_COMPUTERSANDEDUCATION Mathematics education education business Psychology Interactive media
Zdroj:	Advances in Visual Informatics ISBN: 9783030902346 IVIC
DOI:	10.1007/978-3-030-90235-3_17
Popis:	The differences of each student become a challenge for educators in delivering learning materials. More often than not, students often find it difficult to process study materials. Conventional study-based learning may not always have a profound impact on students. Consideration of interactive multimedia as a tool for student-centered learning has not been widely discussed in scientific research. In this paper, the authors investigate interactive multimedia using Kolb’s experiential learning model in improving students’ cognitive abilities. This study uses a pre-experimental method and one-group pre-and post-test design type with the research population in class XI RPL and a sample of SMK students in Bandung. The results show that the application of interactive multimedia using Kolb’s experiential learning model is effective in improving students’ cognitive abilities. On the other hand, it is found that combining abstract learning materials with interactive visuals and activities that involve students’ participation could create exceptionally positive feedback from students.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4fa88b4c708b0f80f0b28984cde6d078 https://doi.org/10.1007/978-3-030-90235-3_17 Zobrazit plný text záznamu