
Learner Characteristics as Consequences of Active Learning
Author(s) -
Jiratchaya Phala,
Suthida Chamrat
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1340/1/012083
Subject(s) - active learning (machine learning) , mathematics education , psychology , construct (python library) , process (computing) , higher order thinking , cooperative learning , pedagogy , teaching method , computer science , cognitively guided instruction , artificial intelligence , programming language , operating system
This paper aims to explore the consequences of active learning implementation toward students’ characteristics. Literature reviewing, and synthesizing intend to delineate the framework of active learning driven classroom where teachers lessen their own profile from lecturers into facilitators. By deploying active learning, students’ multiple skills are activated and practiced. These skills, gradually, become students’ characteristics. Reviewing and synthesizing from the existing literature and research reports indicate students’ characteristics as possible outcomes of active learning in 12 traits: 1) students have a great opportunity to first-hand experience; 2) students create learning process and construct knowledge by themselves; 3) students learn and reflect from their experiences; 4) students develop higher order thinking; 5) students develop their learning skills; 6) students play important roles in learning which are also varied and diverse; 7) students highly participate in learning process; 8) students reach academic achievements with meaningful learning; 9) students build rapport with teachers and their peers; 10) students integrate information with their prior knowledge; 11) students develop positive attitudes and self-esteem; 12) students are enthusiastic, active, happy and joyful.