Assistance in computer programming learning using educational data mining and learning analytics

Abstract

The learning of programming presents many difficulties for students. Nowadays, a number of software tools are available that enable students in programming courses to develop and exercise their knowledge and skills. However, these tools do not examine their work or provide students with indications on their learning process. In this paper we introduce a learning approach for programming based on the analysis of students' mistakes during practical lessons in programming subjects. This approach makes use of compiler messages to analyse their quantity and semantic value, and report the individual and comparative learning progress. This approach is illustrated in practice by a case study conducted in a class of undergraduate students of computer science. This study makes it possible to provide an analytic representation of reflective learning practice, giving us a better understanding on programming learning processes.

The use of tools of data mining to decision making in engineering education—A systematic mapping study

“…This application is directly related to the student's participation in the educational process such as in terms of the analysis of learning styles or learning strategies, the analysis and improvement of student skills, and the motivation trends of students, among others. A second application area of LA [4,7,[22][23][24]32,35,38,44,45,47,57,62,63,66,69,72,76] Institutional database 15 [2,5,5,13,14,16,[39][40][41]48,52,53,67,68,79] Specific databases 13 [1,15,18,19,43,44,50,54,61,68,72,74,80] Not specified 7 [3,12,17,…”

“…Four publications (8%) present particular techniques that have not been considered in previous studies in the form of mining software repositories , multimodal LA , text mining , and machine learning methods . On the other hand, the application of preprocessing and filtering techniques [16,32] is of special relevance due to the variety of data sources that are currently available in terms of DM.…”

Are You Still There? An Exploratory Case Study on Estimating Students’ LMS Online Time by Combining Log Files and Screen Recordings

“…Blikstein [16] used a dataset of a three-week student assignment on programming using a programming environment that logs many users' interactions, such as keystrokes, clicks, variables changes, and changes in the source code. He showed how these data can be used to find certain events in the process and Fernandes-Medina et al [17] used compile messages as a data source and analyzed the work of students to report on the individual and comparative progress of learning. They used the results to inform students about their learning process.…”

Aplicación De La Mineria De Datos en La Educacion en Linea

“…El aporte EDM, en el análisis de estos comportamientos permite al docente tener argumentos e información precisa y rápida de sus estudiantes que de la forma tradicional; en otros enfoques no es sencillo medir de forma rápida y aislada las limitaciones de los educandos; identificando cuales son las barreras que le impiden dominar las competencias propuestas para proponer un acompañamiento y asistencia particular que garantice una apropiación de la temática del curso (Fernandez-Medina et al, 2013).…”