Article citationsMore>>

Calisir, F., Altin Gumussoy, C., Bayraktaroglu, A.E., et al. (2014) Predicting the Intention to Use a Web-Based Learning System: Perceived Content Quality, Anxiety, Perceived System Quality, Image, and the Technology Acceptance Model. Human Factors and Ergonomics in Manufacturing Service Industries, 24, 515-531.
https://doi.org/10.1002/hfm.20548

has been cited by the following article:

• TITLE: An Investigation of College English Autonomous Learning in Network Multimodal Context

  AUTHORS: Chen Guan, Jianhui Zhang

  KEYWORDS: College English, Autonomous Learning, Ability Training, Network Multimodal Context

  JOURNAL NAME: Intelligent Information Management, Vol.15 No.3, May 29, 2023

  ABSTRACT: In the current society, based on the growing development of network information technology, the teaching in many colleges and universities has also introduced it to adapt to the situation. This trend can provide more useful conditions for students to learn, which requires students to master enough self-learning abilities to adapt to this model. The study in the paper shows that students are usually interested in autonomous learning in a multimodal environment, but the degree of strategy choice is relatively low, and the learning process is blind and passive with the lack of self-confidence. Facing the future, schools should actively integrate into network thinking, and teachers should change their roles and train and guide students’ learning strategies and learning motivations, so as to achieve better teaching results.