A Development of Adaptive Learning System Considering Learners’ Knowledge Level
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The biggest advantage of computer based education is providing differential learning considering each learner’s situation. Recently, adaptive learning system to support individualized learning has been actively studied. This study is about the adaptive learning system considering learners' individual achievement. This paper examines an adaptive learning system applying van Hiele’s learning theory in order to support differential leveled learning in geometrical figures for elementary students. We classified learners’ level of knowledge into three levels; lower level, middle level and upper level through the online test. We provide the leveled appropriate courses for the geometrical figures learning. A PHP script language is used to implement for learning algorithm and to manipulate the database. Finally, a Flash is used to present for adaptive learning object. The learning achievement of our proposed adaptive learning system will be increased because the learning system is constructed using the figure learning teaching strategies proposed by proven van Hiele’ theory. Futhermore, the adaptive learning system considering learners’ knowledge level will increase not only learning effects but also learning motivation by providing proper leveled learning and content. This study contributed to realize an adaptive learning system that takes into account the learner's knowledge level. And we showed how mathematical theory can connect with an adaptive learning system.
Abstract
The biggest advantage of computer based education is providing differential learning considering each learner’s situation. Recently, adaptive learning system to support individualized learning has been actively studied. This study is about the adaptive learning system considering learners' individual achievement. This paper examines an adaptive learning system applying van Hiele’s learning theory in order to support differential leveled learning in geometrical figures for elementary students. We classified learners’ level of knowledge into three levels; lower level, middle level and upper level through the online test. We provide the leveled appropriate courses for the geometrical figures learning. A PHP script language is used to implement for learning algorithm and to manipulate the database. Finally, a Flash is used to present for adaptive learning object. The learning achievement of our proposed adaptive learning system will be increased because the learning system is constructed using the figure learning teaching strategies proposed by proven van Hiele’ theory. Futhermore, the adaptive learning system considering learners’ knowledge level will increase not only learning effects but also learning motivation by providing proper leveled learning and content. This study contributed to realize an adaptive learning system that takes into account the learner's knowledge level. And we showed how mathematical theory can connect with an adaptive learning system.
참고문헌 (15)
- D. Herro, "Examining technology integration in middle school STEAM units", Technology, Pedagogy and Education, 24(3), pp.1~14 (2018)
- M. Furman, "Tablets as an educational tool for enhancing preschool science", International Journal of Early Years Education, 24(2), pp.1~14 (2018)
- P. Beach, "Examining elementary teachers' use of online learning environments: An exploratory study", Journal of Research on Technology in Education, 50(1), pp.34~47 (2018)
- J. Bernard, "Learning style identifier: Improving the precision of learning style identification through computational intelligence algorithms", Expert Systems with Applications, 75(1), pp.94~108 (2017)
- J. M. Lee, "Development of an adaptive learning system based on task-trait treatment interaction theory", International Journal of Software Engineering and It’s Applications, 7, pp.49~66 (2013)
- K. Crockett, "On predicting learning styles in conversational intelligent tutoring systems using fuzzy decision trees", International Journal of Human-Computer Studies, 97, pp.98~115 (2017)
- L. Ren, "Teacher characteristics and contextual factors: Links to early primary teachers' mathematical beliefs and attitudes", Journal of Mathematics Teacher Education, 21(4), pp.321~350 (2018)
- D. Bell, "STEM education in the twenty-first century: Learning at work-An exploration of design and technology teacher perceptions and practices", International Journal of Technology and Design Education, 28(3), pp.721~737 (2018)
- A. E. Labib, "On the way to learning style models integration: A learner's characteristics ontology", Computers in Human Behavior, 73, pp.433~445 (2017)
- R. Baker, "Studying the effectiveness of an online language learning platform in China", Journal of Interactive Learning Research, 29(1), pp.5~24 (2018)
- A. Mavroudi, "Supporting adaptive learning pathways through the use of learning analytics: Developments, challenges and future opportunities", Interactive Learning Environments, 26(2), pp.206~220 (2018)
- G-J. Hwang, "A learning style perspective to investigate the necessity of developing adaptive learning systems", Educational Technology & Society, 16(2), pp.188~197 (2013)
- M. Tiantong, "The online project-based learning model based on student’s multiple intelligence", International Journal of Humanities and Social Science, 3, pp.204~211 (2013)
- B. D. Nye, "SKOPE-IT (Shareable Knowledge Objects as Portable Intelligent Tutors): Overlaying natural language tutoring on an adaptive learning system for mathematics", International Journal of STEM Education, 5(1), pp.1~20 (2018)
- O. Schneider, "A concept to simplify authoring of adaptive hypermedia elearning structures", Interactive Learning Environments, 26(6), pp.760~775 (2018)