… of influencing factors predicting student satisfaction for this … monitor the learning progress
of multiple students, whereas … model and precise important features used for further analysis, …

… Lately, machine learning techniques have been extensively … After that, one can think about
the potential influential factors, … data in the analysis can yield below optimal prediction results, …

… rates, improving learning outcomes by considering learner's … power of machine learning in
analysing and predicting student … timely interventions with students and influencing them in a …

… prediction is performed and data is analyzed using regression and classification. The Support
Vector Machine will assist students … influence the students performance. Several number of …

… show significant influence on the precision of predictions. To … estimate of future student
achievements on specific exams or … analysis and comparison of state of the art machine learning …

… to identify the students with low academic achievements at the … due to the influence of
different factors affecting students’ … these institutions is analyzing and predicting their students’ …

… analysis of the results of predictions. The domain of the … SAP prediction used in monitoring
students’ academic progress … vector machine to predict students’ academic performance in an …

… knowledge acquired from machine learning processes which help … In this study, predictive
analysis was carried out to determine … the very influential features in the classification analysis. …

… of academic success is the identification of at-risk students as early as possible, researchers
have also drawn attention to the various analytical methods used to predict such students. …

… based on secondary research and document analysis (… robotics and rules-based systems
to predict outcomes. Last but … to facilitate adaptive learning and boost student success. While …