Social networking has modernized digital education through the provision of novel functionalities, such as reacting, commenting, motivation or group formation. In the light of the new developments, this paper presents SNAKE (Social Networking for Advancing Knowledge in E-learning environment), which is an e-learning software incorporating social characteristics for the tutoring of computer programming. However, investigating the impact of e-learning software holding social characteristics is yet a quite under-researched area. To this end, an extensive exploration of SNAKE has been conducted which examined different factors affecting social networking-based learning. The population of this study included 200 undergraduate students of computer science. To analyze the disposable data, the structural equation modeling was utilized. Upon analysis and structural model validities, the experimentation led to an extended Technology Acceptance Model (TAM) utilized for estimating the impact of the various variables. In more detail, the research model consisted of the TAM core constructs and three external variables. Concluding, the study confirmed that the model adequately explained causal relationships between variables and presented direct and indirect significant impacts of them on SNAKE which can promote learners’ better academic performance and knowledge acquisition.

社交网络通过提供新颖的功能（如反应，评论，动机或组建团队）使数字教育现代化。鉴于新的发展，本文介绍了SNAKE（用于在电子学习环境中提高知识的社交网络），这是一种结合了社会特征的电子学习软件，用于计算机程序设计的辅导。但是，研究具有社会特征的电子学习软件的影响仍然是一个研究不足的领域。为此，已经对SNAKE进行了广泛的探索，研究了影响基于社交网络的学习的不同因素。这项研究的人群包括200名计算机科学本科学生。为了分析一次性数据，利用了结构方程模型。根据分析和结构模型的有效性，该实验导致了扩展的技术接受模型（TAM），该模型用于估算各种变量的影响。更详细地说，研究模型由TAM核心结构和三个外部变量组成。最后，研究证实，该模型充分解释了变量之间的因果关系，并展示了变量对SNAKE的直接和间接显着影响，可以促进学习者更好的学习成绩和知识获取。