From Instagram to Python: How Gen Z Students Need to Adapt to Computer Science Education


How does the shift in digital skills among Gen Z students affect their computer science education?

This question captures the main idea of the article, which is the contrast between the traditional and modern digital skills that students have, and how that impacts their readiness for college-level computer science courses. It also invites an expert to provide more insights and analysis on this topic.


How does the shift in digital skills among Gen Z students affect their computer science education?

Computer science is a rapidly evolving field that requires both foundational and advanced skills to succeed. However, the digital skills that students acquire in their pre-college education may not always align with the expectations and demands of computer science courses in college. This is especially true for Gen Z students, who have grown up in a digital era that is vastly different from previous generations.

Gen Z students are often described as “digital natives”, meaning that they have been exposed to and immersed in digital technologies from a young age. They are proficient in using social media platforms, online games, mobile apps, and other forms of digital media for communication, entertainment, and self-expression. They are also adept at multitasking, switching between different devices and applications, and finding information online.

However, being a digital native does not necessarily imply having a deep understanding of how digital technologies work, or how to use them effectively for learning and problem-solving. Gen Z students may lack some of the basic digital skills that previous generations learned in their pre-college education, such as:

  • File and folder management: how to organize, store, and retrieve digital files and folders in a logical and consistent way.
  • Terminal navigation: how to use command-line interfaces to execute commands, run programs, and manipulate files and directories.
  • Programming languages: how to write, debug, and run code in various programming languages, such as Python, Java, C++, etc.
  • Data structures and algorithms: how to use and implement common data structures and algorithms, such as arrays, lists, stacks, queues, trees, graphs, sorting, searching, etc.
  • These skills are often essential for computer science courses in college, as they form the basis for more advanced topics and applications. However, many Gen Z students may not have encountered them in their high school computer science education, which may focus more on teaching programming as a creative and expressive tool, rather than as a rigorous and analytical discipline.

    How does the gap in digital skills affect computer science education?

    The gap in digital skills between Gen Z students and computer science instructors may pose several challenges for both parties, such as:

  • Difficulty in following instructions and assignments: Gen Z students may struggle to understand and complete the tasks and requirements of computer science courses, such as installing software, setting up environments, submitting files, etc. They may also have trouble following the conventions and standards of programming, such as syntax, indentation, documentation, etc.
  • Frustration and anxiety: Gen Z students may feel frustrated and anxious when they encounter difficulties or errors in their computer science work, especially if they are used to getting instant feedback and gratification from their digital activities. They may also feel overwhelmed by the amount and complexity of the material that they have to learn and master in a short time.
  • Lack of engagement and motivation: Gen Z students may lose interest and motivation in computer science courses, if they perceive them as boring, irrelevant, or too difficult. They may also have a low sense of self-efficacy and confidence in their computer science abilities, and may be reluctant to seek help or collaborate with others.
  • Poor performance and retention: Gen Z students may perform poorly and drop out of computer science courses, if they fail to acquire the necessary digital skills and knowledge. This may result in a loss of talent and diversity in the computer science field, and a widening gap between the demand and supply of computer science graduates and professionals.
  • How can computer science education adapt to the digital skills of Gen Z students?

    To address the gap in digital skills between Gen Z students and computer science instructors, computer science education may need to adapt and innovate in several ways, such as:

  • Providing more scaffolding and support: Computer science instructors may need to provide more guidance and assistance to Gen Z students, especially in the beginning stages of their computer science education. This may include explaining the rationale and purpose of the digital skills and concepts that they teach, providing clear and detailed instructions and examples, offering multiple modes and channels of communication and feedback, and creating a supportive and inclusive learning environment.
  • Incorporating more relevance and engagement: Computer science instructors may need to make their courses more relevant and engaging to Gen Z students, by connecting them to their interests, experiences, and goals. This may include using real-world and authentic problems and contexts, integrating digital media and tools that they are familiar with, allowing for more choice and creativity, and fostering a sense of curiosity and exploration.
  • Emphasizing more collaboration and reflection: Computer science instructors may need to encourage more collaboration and reflection among Gen Z students, by creating opportunities and structures for them to work with and learn from each other, as well as from themselves. This may include using cooperative and project-based learning, facilitating peer feedback and mentoring, and promoting metacognitive and self-regulatory skills.
  • Computer science education is a dynamic and exciting field that can benefit from the diversity and potential of Gen Z students. By bridging the gap in digital skills between them and their instructors, computer science education can foster a generation of computer scientists who are not only competent and confident, but also creative and compassionate.


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