Abstract:
This study explores the preferences and satisfaction levels of EFL college students using DeepSeek, an AI-powered learning
tool, in their language learning practices. Utilizing a phenomenographic qualitative analysis, the research categorizes students’
attitudes and experiences with DeepSeek based on thematic interview questions. The number of participants is 40, namely
20 from University of Diyala and 20 from University of Hradec Kralove. Using phenomenographic qualitative analysis and the
methodology developed by Stenfors-Hayes et al. (2013), the findings categorized thematically based on the interview questions.
The findings reveal that a significant portion of students incorporate DeepSeek into their daily routines, appreciating its
effectiveness, reliability, and utility. While 35% of students use DeepSeek daily and 15% twice a day, 50% rely on it occasionally
for specific academic challenges. The study also highlights that most students prefer to use DeepSeek in combination with
other AI applications, leveraging its affordability and reliability alongside tools like ChatGPT, Google AI Studio, Copilot, and
Gemini. The strategic use of multi-tool integration strategy enhances learning outcomes by allowing students to customize
their educational experiences and focus on complex problem-solving. In addition to its outstanding capabilities, some concerns
regarding privacy and ethical concerns are raised by the participants. The research underscores the importance of
understanding student preferences to refine AI applications and improve their efficacy in language instruction. By examining
the unique features and advantages of DeepSeek, this study contributes to the ongoing development of AI-powered learning
tools, ensuring they remain effective and accessible for EFL students.
