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A.S. Data Science Assessment Results

 

Program Learning Outcomes

By using various assessment tools and/or rubrics within the classroom, American Public University System (APUS) is able to capture a snapshot of students’ success in fulfilling their program outcomes. Signature assignments, generally in the final course of a program, are used to assess students’ proficiency in meeting each program outcome (PO). In order to show proficiency in an area, a student must achieve a score of 85% or greater. American Public University System strives to have 70% or more (university benchmark) of our students reaching the 85% proficiency standard. When this benchmark isn't met, action is taken to improve curriculum and instruction to better serve our students. The below chart shows combined results of A.S. Data Science students at APUS.

  • PO#1- In response to a specific challenge or problem, gather appropriate data.
  • PO#2- Pre-process data, as appropriate, for anticipated final processing and analyses.
  • PO#3- Evaluate a variety of methods used to conduct a data analysis for a specified situation and given data then generate and effectively communicate a comprehensive report on this evaluation including all aspects of the results.
  • PO#4- Deliver reproducible analyses and results.
  • PO#5- Effectively communicate technical results to both or either a technical or non-technical audience.
  • PO#6- Explain the ethical, privacy, and security issues related to data science analyses and communication.
  • PO#7- Obtain real-world experience through project-based coursework and the associate-level seminar.

At this time, there is not enough data to report. Updates will be made as soon as this information becomes available.

Learning Outcomes Assessment: ETS Proficiency Profile

Undergraduate students at American Public University System (both AMU and APU) are required to participate in our national testing initiative as they near degree completion. This involves completion of the ETS Proficiency Profile, a general education assessment. This initiative enables us to evaluate and inform teaching and learning, as well as benchmark our programs. Below are combined results from the ETS Proficiency Profile for A.S. Data Science students in the School of Science, Technology, Engineering and Math.

At this time, there is not enough data to report. Updates will be made as soon as this information becomes available.

End of Program Survey

Student satisfaction is extremely important at American Public University System. Students are asked to complete a survey at the conclusion of their program to give insight on their experience. Below are anonymous, self-reported results, from the End of Program survey, for students in the A.S. Data Science Program.

At this time, there is not enough data to report. Updates will be made as soon as this information becomes available.