Title:	HIGH-PERFORMING ONLINE STUDENT BEHAVIOURS
Author(s):	Rhodora Abadia, Sisi Liu and Qiaoling Sun
ISBN:	978-989-8704-51-1
Editors:	Miguel Baptista Nunes, Pedro Isaías, Tomayess Issa and Theodora Issa
Year:	2023
Edition:	Single
Keywords:	Descriptive Learning Analytics, e-Learning, Online Engagement Behaviours, Online Academic Performance
Type:	Full
First Page:	27
Last Page:	34
Language:	English
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Paper Abstract:	Research on understanding student high academic performance focused on studying students in a traditional classroom or blended learning environment. This paper presents key online engagement behaviours of students that contribute to achieving high academic performance. The study experimented on three years of data derived from online students' academic performance and online course engagement in a series of six computing courses. Patterns discovered in this study indicate that most of the high-performing students in the online introductory programming courses continue to be high-achieving in their succeeding online computing courses compared to the non-programming courses. The results also show that the more programming experience, the students' performances improve. In addition, students with the highest academic performance engage at least 100% more in online formative learning activities compared to non-high performing students. Their highest activity engagement behaviours were on forum views and quiz activities. Findings of this study will assist educators in identifying critical elements in their content design to help all types of students increase their scholastic performance, better engage online students, and elevate non-high performing students to narrow the gap in students' performance in online courses. Finally, this study can help educational institutions identify what needs to be improved in the current learning analytics tool to better model student behaviours and patterns.
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