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Title:
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EXPLORING CHARACTERISTICS OF FINE-GRAINED BEHAVIORS OF LEARNING MATHEMATICS IN TABLET-BASED E-LEARNING ACTIVITIES |
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Author(s):
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Cheuk Yu Yeung, Kam Hong Shum, Lucas Chi Kwong Hui, Samuel Kai Wah Chu, Tsing Yun Chan, Yung Nin Kuo and Yee Ling Ng |
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ISBN:
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978-989-8533-63-0 |
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Editors:
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Miguel Baptista Nunes and Maggie McPherson |
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Year:
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2017 |
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Edition:
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Single |
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Keywords:
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Fine-grained Behaviors, Tablet-based E-learning Activities, Learning Analytic, Learning Metrics, Learning Traits |
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Type:
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Short Paper |
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First Page:
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149 |
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Last Page:
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153 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Attributes of teaching and learning contexts provide rich information about how students participate in learning activities. By tracking and analyzing snapshots of these attributes captured continuously throughout the duration of the learning activities, teachers can identify individual students who need special attention and apply different pedagogical actions to them. This paper describes the results of the work-in-progress study in exploring characteristics of fine-grained behaviors of learning mathematics in tablet-based e-learning activities. An experimental platform called SkyApp is built. Through SkyApp, teachers can create e-learning activities and track learning records of students after the delivery of the activities. SkyApp supports capturing, storing and analyzing of fine-grained behaviors of students. Pilot tests have been done in two primary schools for eight months. The review of the tests demonstrates the potential in performing learning analytics. By applying clustering algorithms on multiple learning metrics of marks, time and number of attempts for students in solving mathematics questions, classification of students by learning characteristics of performance and engagement can be formulated. |
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