查找以下文献来源。标注格式：作者（年份）文献名称 出版社 页码 Technology acceptance model in m-learning context: A systematic review. Computers & Education. Al-Samarraie, H., Hur, H. J., & Alzahrani, A. I.(2018). 【9】 This article investigates the impact of perceived usefulness and perceived ease of use of online learning tools on participation among Korean college students. Research has found a significant positive correlation between these two factors and students' online learning engagement, duration, and learning outcomes. Kim, J.,&Lee, S. (2019)【10】 This article explores how students' perceived usefulness and perceived ease of use in MOOC environments affect their learning motivation and satisfaction. Research has found that these two factors can significantly predict students' learning motivation and satisfaction. Zhang, Y., Zhao, X.,&Liu, L. (2020)【11】 This article explores how students' intentions predict their online learning behavior from the perspective of self-determination theory. Research has found a significant positive correlation between students' learning intention and their online learning behavior, cognition, and emotional participation. Wang, H., Liang, C.,&Huang, W. (2021)【12】 This paper investigates how students' intentions predict learning outcomes in a blended learning environment through meta-analysis. Research has found that students' learning intentions can significantly predict their learning outcomes and satisfaction. Lopez, R. E.,&Etxebaria, I. (2021)【13】

查找以下文献来源。标注格式：作者（年份）文献名称 出版社 页码
Technology acceptance model in m-learning context: A systematic review. Computers & Education. Al-Samarraie, H., Hur, H. J., & Alzahrani, A. I.(2018). 【9】
This article investigates the impact of perceived usefulness and perceived ease of use of online learning tools on participation among Korean college students. Research has found a significant positive correlation between these two factors and students' online learning engagement, duration, and learning outcomes. Kim, J.,&Lee, S. (2019)【10】
This article explores how students' perceived usefulness and perceived ease of use in MOOC environments affect their learning motivation and satisfaction. Research has found that these two factors can significantly predict students' learning motivation and satisfaction. Zhang, Y., Zhao, X.,&Liu, L. (2020)【11】
This article explores how students' intentions predict their online learning behavior from the perspective of self-determination theory. Research has found a significant positive correlation between students' learning intention and their online learning behavior, cognition, and emotional participation. Wang, H., Liang, C.,&Huang, W. (2021)【12】
This paper investigates how students' intentions predict learning outcomes in a blended learning environment through meta-analysis. Research has found that students' learning intentions can significantly predict their learning outcomes and satisfaction. Lopez, R. E.,&Etxebaria, I. (2021)【13】

查找以下文献来源。标注格式：作者（年份）文献名称 出版社 页码Evaluating E-learning systems success: An empirical study. Computers in Human Behavior. Al-Fraihat, D., Joy, M., Masa'Deh, R., & Sinclair, J.(2020).
In terms of the impact of intention, research has also shown that students' intention plays a crucial role in their behavior, cognition, and emotional participation. For example, a study found a significant positive correlation between students' online learning intention and their online learning behavior, cognition, and emotional participation Wang et al. (2021).