A systematic mapping study of educational technologies based on educational data mining and learning analytics

The traditional flipped classroom is defined based on the video instructions of flipped class at home. In addition, students have time in class to work with their teacher on key learning activities. With introduction of Flipped Classroom model and rapid development of data sciences for taking the advantages of the learners' data to optimize learning process there has been an increasing consideration of exploiting Educational Data Mining and Learning Analysis. Large amount of data taken from performed actions of students and teachers in FC has made data-driven learning and self-paced learning possible to perform different algorithms of Learning Analytics and Educational Data Mining. The goal in this paper is to devise a systematic mapping study, in order to explore and analyze existing researches about implementations of learning strategies and learning algorithms. We selected 122 papers and assorted according to field of interest, video field of interests and technology used in FC.