TALE 2017 Conference Agenda

12-14 December 2017, The Education University of Hong Kong, Tai Po, Hong Kong

Prediction Models of Learning Strategies and Learning Achievement for Lifelong Learning

Sittichai Bussaman1Wongpanya Nuankaew2, Pratya Nuankaew3, Napa Rachata3, Kanakarn Phanniphong4, Ploykwan Jedeejit5

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.

S4B: Learning Analytics  Time: Thursday, 14/Dec/2017: 1:30pm – 2:50pm  Session Chair: Chi Un Lei

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