The value of conducting educational data mining for the research in the pedagogical domain — In recent years, increasing attention to Artificial Intelligence (AI) encouraged the progress of data mining and analytics in the pedagogical domain. (Baker 2014) Data mining is the process to extract new aspects and patterns from a large data set using the methods at the crossing of machine learning, statistics, and…

Looking over the case study of blended learning contexts with MOODLE and arguing potential issues of educational data mining — The aim of doing educational data mining (EDM) is identifying how students learn online in “blended” module by doing the research with machine learning techniques based on the log data stored in the MOODLE database. The results can be useful for improving teaching methods and testing hypotheses about learning and…

A transformation from potentially valuable data into beneficial information in AI/ML projects — More engineers are faced with an increase in the number of projects relating to artificial intelligence(AI) and machine learning (ML). Many AI/ML projects seem to be algorithm oriented but each process to develop AI/ML products are centered on any procedure involving with data. Engineers in AI/ML projects need to understand…

Conceptualization of research-oriented code for bridging the gap between data science and engineering — Recently, web application engineers have more opportunities to work with data scientists or researchers than before. At the same time, they are often faced with the research-oriented code written by data scientists or researchers. The code tends to be written for products involving with artificial intelligence (AI) or machine learning…