Design of College English Process Evaluation System Based on Data Mining Technology and Internet of Things

Design of College English Process Evaluation System Based on Data Mining Technology and Internet of Things

Hongli Lou
Copyright: © 2020 |Pages: 16
DOI: 10.4018/IJDWM.2020040102
OnDemand:
(Individual Articles)
Available
$37.50
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

This article proposes a new idea for the current situation of procedural evaluation of college English based on Internet of Things. The Internet of Things is used to obtain the intelligent data to enhance the teaching flexibility. The data generated during the process of procedural evaluation is carefully analyzed through data mining to infer whether the teacher's procedural evaluation in English teaching can be satisfied.
Article Preview
Top

The ingeniously designed wireless sensor network experiment makes the scientific concepts in the classroom more realistic and easier for students to grasp (Shabestari, 2019). For example, Dressel University has developed a modular wireless sensor network experimental platform and applied it to the teaching of signal processing, computer vision, detection and estimation, pattern recognition and other courses. Through innovative hands-on experiments, the theoretical concepts in the course are realized, and the abstract concepts are linked to the actual life situation, so that interesting and effective teaching and learning can be achieved (Mirzapour, 2019). At the same time, it also stimulates students to have a great interest in the subject. The introduction of wireless sensor network technology can make the traditional interactive display teaching simpler and effective and make it easier to create an inquiry-based classroom atmosphere (Wu et al., 2018).

Complete Article List

Search this Journal:
Reset
Volume 20: 1 Issue (2024)
Volume 19: 6 Issues (2023)
Volume 18: 4 Issues (2022): 2 Released, 2 Forthcoming
Volume 17: 4 Issues (2021)
Volume 16: 4 Issues (2020)
Volume 15: 4 Issues (2019)
Volume 14: 4 Issues (2018)
Volume 13: 4 Issues (2017)
Volume 12: 4 Issues (2016)
Volume 11: 4 Issues (2015)
Volume 10: 4 Issues (2014)
Volume 9: 4 Issues (2013)
Volume 8: 4 Issues (2012)
Volume 7: 4 Issues (2011)
Volume 6: 4 Issues (2010)
Volume 5: 4 Issues (2009)
Volume 4: 4 Issues (2008)
Volume 3: 4 Issues (2007)
Volume 2: 4 Issues (2006)
Volume 1: 4 Issues (2005)
View Complete Journal Contents Listing