Research on the “Blended Teaching Mode” and “Ideological and political education in curriculum” in Universities Under the Background of Educational Big Data
Available Online 2 November 2020.
- https://doi.org/10.2991/assehr.k.201030.020How to use a DOI?
- information teaching, big data, online and offline gold lessons, blended learning, teaching quality assessment
- In April 2018, the Ministry of Education officially issued the “Education Informatization 2.0 Action Plan”. By 2022, it will have been achieved basically the development goal of “three comprehensives, two highs and one large”, that is, teaching applications covering all teachers, learning applications covering all school-age students, and digital campus construction covering all schools. The level of informatization application and the information literacy of teachers and students have generally improved, and a large platform of “Internet + education” has been built. On this basis, this paper records the education quality monitoring data and collects the information generated by the students in the learning process, accumulates and forms teaching evaluation big data, and builds a blended teaching model and teaching quality evaluation system in universities under the background of education big data. It is shown that the integration of big data in the teaching process can more accurately and personally customize teaching plans for students, feedback teaching problems, optimize the teaching process, and truly transform “teaching-centered” to “learning-centered” and improve under the background of educational big data, which improves the blended learning quality of universities and perfects the evaluation system of university undergraduate teaching quality.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Junwei Shi PY - 2020 DA - 2020/11/02 TI - Research on the “Blended Teaching Mode” and “Ideological and political education in curriculum” in Universities Under the Background of Educational Big Data BT - 2020 International Conference on Social Sciences and Big Data Application (ICSSBDA 2020) PB - Atlantis Press SP - 89 EP - 95 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.201030.020 DO - https://doi.org/10.2991/assehr.k.201030.020 ID - Shi2020 ER -