Color code method design evaluation and data analysis
-
2018-05-16 https://doi.org/10.14419/ijet.v7i2.28.12889
-
Data analysis, Educational data mining, Students behavior prediction -
Abstract
Nowadays, with the growing attention to Educational data mining, it important to use the data analysis results to improve course assessment and improve the e-learning process. A new Color code method for understanding students’ learning process has been introduced in the previous research. The method uses three color codes: red for "problem", yellow for "work in progress" and green for "job done". The method has proven to work in a classroom environment and recently implemented in the edX learning platform. In this paper the button design is tested in four student groups and the button press data analyzed taking into consideration students’ gender and exam marks. Research show that 18% of the students used buttons without difference in gender and that highest button usage activity had the least course non-finishers and the highest number of students that got the highest mark. Survey showed that button design needs some improvement.
Â
Â
-
References
[1] Al-Twijri MI, Noaman AY (2015), A New Data Mining Model Adopted for Higher Institutions. Procedia Computer Science 65, 836-844.
[2] Asif R, Merceron A, Najmi AAS, Haidera G. (2017), Analyzing undergraduate students' performance using educational data mining. Computers & Education 113, 177-194.
[3] Chen SM, Liu MY (2014), Big data: a survey. Mobile Netw. Appl. 19, no. 2, 171-209.
[4] Dzelzkaleja L, Kapenieks J (sen.) (2016), Real-time Color Codes for Assessing Learning Process. International Conference; Meaning in Translation: Illusion of Precision, 11-13 May. Riga: Procedia - Social and Behavioral Sciences, 263-269.
[5] Dzelzkaleja L, Timsans Z (2018) Colour Codes Method Digitalization in edX E-learning Platform. Paper confirmed for publication. 10th International Conference on Computer Supported Education 15-17 April, Portugal, Madeira.
[6] Dzelzkalēja L (2017), Real Time Color Codes in a Classroom. Proceedings of 9th International Conference on Computer Supported Education, 21-23 April, Portugal, Porto, 111-117.
[7] Kaur P, Singh M, Josan GS (2015), Classification and prediction based data mining algorithms to predict slow learners in education sector. 3rd International Conference on Recent Trends in Computing 2015 (ICRTC-2015). Procedia Computer Science 57, 500 – 508.
[8] Khadijah S, Tasir ZM (2013), Educational Data Mining: A Review. Procedia - Social and Behavioral Sciences 97, 320-324.
-
Downloads
-
How to Cite
Dzelzkaleja, L. (2018). Color code method design evaluation and data analysis. International Journal of Engineering & Technology, 7(2.28), 106-109. https://doi.org/10.14419/ijet.v7i2.28.12889Received date: 2018-05-16
Accepted date: 2018-05-16
Published date: 2018-05-16