Standards in this Framework
| Standard | Description |
|---|---|
| IT-AIA-1.1 | Communicate effectively through writing, speaking, listening, reading, and interpersonal abilities. |
| IT-AIA-1.2 | Demonstrate creativity by asking challenging questions and applying innovative procedures and methods. |
| IT-AIA-1.3 | Exhibit critical thinking and problem-solving skills to locate, analyze and apply information in career planning and employment situations. |
| IT-AIA-1.4 | Model work readiness traits required for success in the workplace including integrity, honesty, accountability, punctuality, time management, and respect for diversity. |
| IT-AIA-1.5 | Apply the appropriate skill sets to be productive in a changing, technological, diverse workplace to be able to work independently and apply teamwork skills. |
| IT-AIA-1.6 | Present a professional image through appearance, behavior, and language. |
| IT-AIA-2.1 | Identify, research, and analyze current events in the field of Artificial Intelligence, considering new technology developments, social and ethical impact, and future implication. |
| IT-AIA-2.2 | Identify and describe current challenges and opportunities in Artificial Intelligence technologies using non-Machine Learning aspects of Artificial Intelligence (e.g., genetic algorithms, robotics, computer vision, etc.) |
| IT-AIA-2.3 | Make predictions about the future trends or developments in the field of Artificial Intelligence based on current Artificial Intelligence applications. |
| IT-AIA-3.1 | Identify and research networks and cloud services that use Artificial Intelligence solutions (Neural Networks, data management, different industry-specific solutions and services, Edge AI). |
| IT-AIA-3.2 | Identify Artificial Intelligence in a variety of industry solutions and services and make appropriate recommendations of Artificial Intelligence applications based on an industry need. |
| IT-AIA-3.3 | Define open source and identify open-source Artificial Intelligence tools (e.g., Tensorflow, ScikitLearn, Spark ML, PyTorch). |
| IT-AIA-3.4 | Define proprietary and identify proprietary Artificial Intelligence tools (e.g., Microsoft Azure AI, Amazon Web Services, Google AI, IBM Watson). |
| IT-AIA-4.1 | Define and apply a team-based software development process (e.g., Agile) using professional tools (e.g., Version Control System, GitHub). |
| IT-AIA-4.2 | Define and evaluate computational complexity, time complexity, and space complexity in programs |
| IT-AIA-4.3 | Identify and use IDEs (e.g., VS Code, PyCharm, Jupyter, Sublime) and packages in program development (e.g., Fast AI, Scikit-Learn, Pandas, Runway ML, Tensorflow, Make Code, PyTorch) to build and train machine learning models. |
| IT-AIA-4.4 | Define and research an interest or problem that could be enhanced or solved with Artificial Intelligence. |
| IT-AIA-4.5 | Design and develop an Artificial Intelligence software solution that addresses a researched interest or problem that could be enhanced or solved. |
| IT-AIA-4.6 | Develop an online portfolio that showcases your software development skills and projects. |
| IT-AIA-5.1 | Define and distinguish between balanced and imbalanced datasets. |
| IT-AIA-5.2 | Identify potential problems with imbalance datasets. |
| IT-AIA-5.3 | Define and explain the difference between training, validation, and test datasets |
| IT-AIA-5.4 | Discuss how bias can be present in datasets and analyze the implications, including ethical implications, of bias in data. |
| IT-AIA-5.5 | Define data collection, manipulation, cleansing, and transformation and describe how these can be used to improve datasets. |
| IT-AIA-5.6 | Identify different factors to consider when evaluating sources of data. |
| IT-AIA-5.7 | Identify, evaluate, and utilize existing datasets from reliable sources (e.g., Kaggle) to train machine learning models. |
| IT-AIA-5.8 | Explore and utilize packages from a data analysis and manipulation tool when training a machine learning model (e.g., Pandas). |
| IT-AIA-5.9 | Utilize visual reporting and statistical tools to perform, understand, and interpret statistics such as regression analysis, ANOVA, hypothesis testing, and sampling distributions. |
| IT-AIA-6.1 | Identify and research a real social or ethical problem in your community that might be solved with Artificial Intelligence |
| IT-AIA-6.2 | Use a problem-solving process (e.g., Design Thinking) to collaboratively investigate the identified problem in your community. |
| IT-AIA-6.3 | Collaboratively design a solution that uses Artificial Intelligence for the problem identified in your community. |
| IT-AIA-6.4 | Develop a prototype or working model of your Artificial Intelligence solution. |
| IT-AIA-7.1 | Identify and define the function of circuits, sensors, microcontrollers, motors, and other components used in embedded systems. |
| IT-AIA-7.2 | Assemble an embedded or robotic system that use circuits, sensor(s), microcontroller, microcomputers, motor(s) to complete a specific task. |
| IT-AIA-7.3 | Write a program for an embedded or robotic system that makes a decision based on sensor/user input, controls mechanics of the robot, and completes a “human” task (e.g., delivers items, opens a door for someone, solves a puzzle, etc.). |
| IT-AIA-7.4 | Use a problem-solving method to debug hardware issues. |
| IT-AIA-8.1 | Explain the goals, mission, and objectives of the career-technical student organization (CTSO). |
| IT-AIA-8.2 | Explore the impact and opportunities a student organization can develop to bring business and education together in a positive working relationship through innovative leadership and career development programs |
| IT-AIA-8.3 | Explore the local, state, and national opportunities available to students through participation in related student organization including but not limited to conferences, competitions, community service, philanthropy, and other CTSO activities. |
| IT-AIA-8.4 | Explain how participation in career and technology education student organizations can promote lifelong responsibility for community service and professional development. |
| IT-AIA-8.5 | Explore the competitive events related to the content of this course and the required competencies, skills, and knowledge for each related event for individual, team, and chapter competitions |
