Research on Hot Research Topics on Personalized Learning and Its Development Trend in China:Based on Co-word Visualization Analysis from CSSCI

Abstract

Abstract:With the continuous development and change of the Times, education view is gradually shifted from teachers to students, and personalized learning begins to return to people's horizons.In this paper, based on CNKI, with co-word visualization analysis as research methods, the personalized learning research hot topic and development trend in our country are summarized and analyzed.Research shows that: the personalized learning research hot topics includes data mining, MOOC, learning environment, learning analysis, ubiquitous learning, learning style, E-learning and teaching mode and so on several aspects;Personalized learning research trend mainly involves the theoretical framework method of personalized learning, the diversification of personalized learning form, the implementation of personalized learning ways and technology and so on several directions.

Research on Papua, a digital tool with artificial intelligence in favor of learning and linguistic attitudes towards the learning of the English language in students of Spanish language as L1

“…Although monitoring progress has become an area of continued educational interest, as evidenced by the increase in the number of patents filed for related technology, there has also been some skepticism towards SE on the basis of mismatches between the descriptors and students’ own perceptions ( García Sanz, 2020 ). Similarly, a review of the literature shows that personalized learning via technology is highly regarded among educationalists, and is one of the most studied resources for language learning ( Zhou et al, 2016 ), prompting a comparable deluge of patents ( Chao et al, 2009 ). The overwhelming interest in the potential of these tools is what led us to research their effectiveness in the L2 learning process, with the aim of identifying positive common results, and complementarily, areas and aspects for improvement.…”

“…By tracking users’ learning behavior it is able to provide personalized materials more efficiently. According to Zhou et al (2016) , among current areas of research into personalized learning can be found data-mining, massive open online courses (MOOC), the learning environment, learning analysis, ubiquitous learning, learning styles, E-learning, and teaching modes. In like fashion, research into personalized learning models has tended chiefly towards exploring theoretical frameworks, diversification, and the implementation of personalized modes and technology.…”