A Learning Analytics Approach for Student Performance Assessment

Due to the increasing interest in big data especially in the educational field and online education has led to a conflict in terms of performance indicators of the student. In this paper we discuss the methodology of assessing the student performance in terms of the success indicators revealing a number of indicators that is recommended to indicate success of the final academic achievement.

[1]  Xitao Fan,et al.  Parental Involvement and Students' Academic , 2001 .

[2]  Lalitha Agnihotri,et al.  Building a Student At-Risk Model: An End-to-End Perspective From User to Data Scientist , 2014, EDM.

[3]  Ji Won You,et al.  Identifying significant indicators using LMS data to predict course achievement in online learning , 2016, Internet High. Educ..

[4]  Jacqueleen A. Reyes The skinny on big data in education: Learning analytics simplified , 2015 .

[5]  Janet E. Hurn,et al.  Using learning analytics to predict (and improve) student success: a faculty perspective , 2013 .

[6]  John P. Campbell,et al.  Academic Analytics: A New Tool for a New Era. , 2007 .

[7]  George Siemens,et al.  Penetrating the fog: analytics in learning and education , 2014 .

[8]  Eitel J. M. Lauría,et al.  Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative , 2014, J. Learn. Anal..

[9]  Dragan Gasevic,et al.  Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic success , 2016, Internet High. Educ..

[10]  Sebastián Ventura,et al.  Data mining in education , 2013, WIREs Data Mining Knowl. Discov..

[11]  Catherine L. Finnegan,et al.  Predicting Retention in Online General Education Courses , 2005 .

[12]  Philip H. Winne,et al.  Examining trace data to explore self-regulated learning , 2007 .

[13]  Alyssa Friend Wise,et al.  Learning analytics for online discussions: a pedagogical model for intervention with embedded and extracted analytics , 2013, LAK '13.

[14]  Jui-Long Hung,et al.  Integrating Data Mining in Program Evaluation of K-12 Online Education , 2012, J. Educ. Technol. Soc..

[15]  Larry Johnson,et al.  The 2011 Horizon Report. , 2011 .

[16]  Tanya Elias,et al.  Learning Analytics: Definitions, Processes and Potential , 2011 .

[17]  Ibrahim Aljarah,et al.  Preprocessing and analyzing educational data set using X-API for improving student's performance , 2015, 2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT).

[18]  L. Morris,et al.  Tracking student behavior, persistence, and achievement in online courses , 2005, Internet High. Educ..

[19]  Shane Dawson,et al.  Mining LMS data to develop an "early warning system" for educators: A proof of concept , 2010, Comput. Educ..

[20]  Vania Dimitrova,et al.  CourseVis: A graphical student monitoring tool for supporting instructors in web-based distance courses , 2007, Int. J. Hum. Comput. Stud..

[21]  Paulo Blikstein,et al.  Using learning analytics to assess students' behavior in open-ended programming tasks , 2011, LAK.

[22]  Marie Bienkowski,et al.  Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics: An Issue Brief , 2012 .

[23]  Laurie P. Dringus,et al.  Using data mining as a strategy for assessing asynchronous discussion forums , 2005, Comput. Educ..

[24]  Jeng-Fung Chen,et al.  Predicting Student Academic Performance: A Comparison of Two Meta-Heuristic Algorithms Inspired by Cuckoo Birds for Training Neural Networks , 2014, Algorithms.

[25]  Matthew D. Pistilli,et al.  Course signals at Purdue: using learning analytics to increase student success , 2012, LAK.

[26]  W. F. Punch,et al.  Predicting student performance: an application of data mining methods with an educational Web-based system , 2003, 33rd Annual Frontiers in Education, 2003. FIE 2003..