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Assessment of student work in internship/practicum

Used by student mentors to evaluate work of the student and to provide feedback to the department.

Thank you for mentoring one of our students in their internship/practicum. The internship/practicum represents a true capstone experience for the student, allowing them to put into practice many of the skills we hope they have acquired in progressing through our program. As such, it represents not only a learning experience for the student but also an opportunity for our department to gather feedback as to whether we are adequately preparing students for their future career.  In general we try to gauge that preparation in terms that our accrediting agency (ABET --- identifies as eleven important learning outcomes.  The responses you provide below will help us assess how the student did in achieving some or all of those outcomes in the work they did for you.

General Information
Please provide your name below.
Enter the company or organization you represented in mentoring the student.

We have grouped questions regarding the student's performance into two categories -- those representing "soft" or non-technical outcomes and those representing more technical outcomes.   Some of the questions should be pertinent regardless of what the student did and for those we require a response, as indicated by the red dot next to the question.   Others may not be applicable in the work the student did for you and in those cases your response is optional.

Assessment of non-technical outcomes
The questions below will help us assess how the student did with respect to the "soft" skills needed in today's computing milieu.
In the course of working on a software project, the student may have to interact with a variety of stakeholders -- end users, other developers, and supervisors to name just a few. Please rate the student's ability to communicate across the board with this range of stakeholders.
In working on a capstone project as part of an internship or research practicum, it is important for the student to see the "big picture" of how the software artifact on which they have worked will ultimately benefit those who will use it. Would you describe the student's grasp of this "big picture" perspective for the project in which you mentored her as:
When working on a team, does the student demonstrate qualities such as group leadership and ability to help plan the project and keep the team on track, a cooperative and positive attitude toward the project and other team members, and ultimately fulfill their responsibilities to the team with work that is of high quality and finished in a timely fashion?
One of the most valuable assets we hope our students have upon graduation is a combination of both the desire and ability to remain current in the discipline. Did the student you mentored demonstrate this combination?
Please provide a bit of written commentary to explain why you have rated the student as you have above for these non-technical outcomes.
Assessment of technical outcomes
The questions below will help us assess how the student did with respect to the technical skills that are required in software development.
Is the student able to work from a set of requirements to design the software components (classes, data, logic, ...) that will allow her to implement a system that can be reasonably maintained?
Computing professionals need to combine a varied package of skills -- for example the ability to work at multiple levels of abstraction, familiarity with IDEs and version control systems, recognition of design patterns that occur in the applications they work on. Please describe the skills, tools, and techniques for which you feel the student demonstrated a solid mastery.
In contrast to the previous question, were there areas where that mastery seemed to be lacking? If so, what were they?
After analyzing the user's requirements, can the student predict how the performance of a resulting system will scale up as it works with increasingly large volumes of data? Is the student able to use estimation techniques such as big-O to predict run time and storage requirements? Does the student take into account how conditions unique to the application (usage patterns, order of data, ...) may affect performance? If such questions apply to what the student did in your project, please describe the student's performance in these areas.
If you have other comments that you would like to make in regards to the performance of the student or the preparation that the student received from our program, please do so.

Click the submit button to send your response to the internship/practicum coordinator.   We thank you very much for both the feedback you have provided here and for the excellent mentoring you gave to our student.

by Naps, Thomas L. last modified Aug 01, 2017 01:02 PM
Systems and Theory emphasis accredited by

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