Standards - Career & Technical Education

Incorporate safety procedures in handling, operating, and maintaining tools and machinery; handling materials; utilizing personal protective equipment; maintaining a safe work area; and handling hazardous materials and forces.

Demonstrate effective workplace and employability skills, including communication, awareness of diversity, positive work ethic, problem-solving, time management, and teamwork.

Explore the range of careers available in the field and investigate their educational requirements, and demonstrate job-seeking skills including resume-writing and interviewing.

Advocate and practice safe, legal, responsible, and ethical use of information and technology tools specific to the industry pathway.

Participate in a Career and Technical Student Organization (CTSO) to increase knowledge and skills and to enhance leadership and teamwork.

Discuss and demonstrate ways to value diversity.

Research multiple Internet publishing platforms to determine their suitability for various media types, target audiences, and feedback mechanisms.

Utilize business communications to meet the needs of the targeted audience.

Collaborate on a diverse team, using office or team norms.

Utilize a variety of digital tools to create digital products involving multiple content areas.

Describe the components of mobile applications.

Deploy an app using an emulator or a mobile device.

Utilize version control capabilities and manage historical changes when editing documents within a digital tool, both independently and collaboratively.

Select and use appropriate features to meet the desired functionality of an app.

Collaborate with peers, experts, or community members to analyze local, national, and global issues and problems in developing mobile applications.

Gather and present information on mobile app developers and popular applications.

Research ways that technology is affecting careers in mobile applications development.

Analyze user-centered design principles in various models of an app or code.

Analyze the structure and functionality of various mobile programs.

Evaluate ways to organize data elements, plan for data storage, and manage networked computing for mobile devices.

Create interactive data visualizations using software tools to bring attention to and help others understand real-world phenomena and to improve human outcomes related to the phenomena.

Select and use appropriate data features to create the desired functionality of an app.

Use data analysis tools to identify patterns in complex systems and create an algorithm to simplify the process.

Create an algorithm or sequence of steps to simplify daily life procedures at home or at the office.

Evaluate mobile app scalability and the reliability of mobile networks and protocols, including ability to manage a large and increasing number of clients, customers, and users and accommodate overall growth; ease of app maintenance; measures to prevent gridlock; offline reliability; speed; and end result.

Identify fastest mobile networks and analyze their features.

Compare and contrast various mobile operating software systems.

Describe the advantages and disadvantages of using artificial intelligence in mobile networks, physical systems, and software.

Analyze advantages, disadvantages, and features of various cybersecurity programs, and determine which situations are best suited for each.

Explain the importance of protecting personal information.

Evaluate and explore possible improvements in different environments, situations, and simulations.

Use collected data to form, test, and refine a hypothesis regarding possible improvements in a business operation.

Collect feedback from a wide variety of users and systematically design and develop mobile programs to match entertainment preferences for different target audiences.

Research and share information on apps that use both humans and machines for problem solving.

Select an app that uses both human and machine input to solve problems and decompose the app’s problem-solving process to determine which part of the problem is solved by humans and which is dependent on the machine.