Prediction models of learning strategies and learning achievement for lifelong learning

• Main Authors: Sittichai Bussaman, Wongpanya Nuankaew, Pratya Nuankaew, Napa Rachata, Kanakarn Phanniphong, Ploykwan Jedeejit
• Format: Conference Proceeding
• Published: 2018
• Subjects: Engineering; Social Sciences
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85047244277&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/58701
• Institution: Chiang Mai University

© 2017 IEEE. Today's rapidly changing in Technology Enhanced Learning (TEL) and Lifelong Learning Styles (LLS) are becoming a part of everyday life. This objectives of the paper is to develop a theoretical framework and provide perspectives of Learning Strategies (LS) and Learning Achievement (LA) for Lifelong learning at the high school in the Maha Sarakham province. The paper is focused on identifying the first steps needed to make learning academic achievement. The data gathering is collected from 668 students at Phadungnaree School, Maha Sarakham province. The method consists of three processes: data collection, data analysis and model development, and evaluation of model performance. The results of the study found that the factors that affect students are basic chemistry course (s30102), basic biology course (s30103), and physics course (s30101). Finally, the testing results and measurement the performance of the model are high scores (94.51%), which can be further developed into software applications and mobile applications.