Projected Grades – 6 Weeks to Go

We are now in the final 6-week stretch of the 2017/2018 school year! I have been running various projections for end-of-semester and end-of-year grades.

Principles of Applied Engineering

Projected Year - 6 Weeks - PAE(1)
Projected Year – 6 Weeks – PAE (1st Period)
Projected Year - 6 Weeks - PAE(5)
Projected Year – 6 Weeks – PAE (5th Period)
Projected Year - 6 Weeks - PAE(All)
Projected Year – 6 Weeks – PAE (All Sections)

With a total of 46 students enrolled in PAE, I can handle a failure rate of 4.35%. I not happy with that number as there is no excuse for failure of this class beyond simply not turning in assignments. Hopefully, these failing students will pull-up their grades in the final 6-weeks of instruction and be able to pass for the year.

Computer Science 1

Projected Year - 6 Weeks - CS1(2)
Projected Year – 6 Weeks – CS1 (2nd Period A Day)
Projected Year - 6 Weeks - CS1(4)
Projected Year – 6 Weeks – CS1 (4th Period A Day)
Projected Year - 6 Weeks - CS1(All)
Projected Year – 6 Weeks – CS1 (All Sections)

As you can see, my 4th Period A Day class has all A’s and B’s in the class. They have an overall class average of 93.59. In contrast, my 2nd Period A Day class has an overall class average of 85.15.

There are a total of 28 students currently enrolled in CS1. I am not satisfied with a failure rate of 7.1%. There is absolutely no excuse for this rate beyond students not submitting work. As with PAE, I am hopeful that the students pull their grades up and are able to pass for the year.

Q3 Grade Distribution 2017/2018

Today, we are closing the 3Q grading period for the 2017/2018 school year. I have a total of 134 students with 50 of them enrolled in either Robotics 1 or Robotics 2.

Through my career, I have seen many students slip with their grades during this grading cycle. Regretfully, this trend has not abated much this year.

Robotics 1, Robotics 2, and Computer Science 2 have 100% of students passing. But the more curriculum-based courses have failures.

As you can see, Computer Science 1 has an overall failure rate of 13.33% (4 of 30 students). 75% of those failures come from one class period as a result of failure to complete a major multi-part project involving 2-dimensional arrays in Python.

The vast majority of the class (73%) received an A. The majority of those (63%) came from a single class period.

All-in-all, I am happy with the performance of both sections as we had some difficult concepts to cover during this grading period.

As you can see, Principles of Applied Engineering has an overall failure rate of 4.26% (2 of 47 students). The failures are evenly distributed between both sections of this course.

One section comprised 60% of the A’s, 42% of the B’s and 55% of the C’s. The other section was 40%, 58%, and 45% respectively.

This grading period, we covered mechanical, materials, and electrical engineering. Many students struggled with mechanical engineering and their grades reflected those challenges.

Why Wait ‘Til the End?!?!?!?

As we rapidly approach the conclusion of the last day of our 9-weeks grading cycle, I have a plethora of students who are asking what they can do in order to bring their grades up.

While this in and of itself is not unusual (this is my 14th year working in education), what frustrates me is the number of them who are in what is arguably the easiest of my 4 classes (Business Information Management).

Everything in this class is handed to the students in step-by-step instructions with screen shots. All students must do is follow the instructions, whether they are reading on their own or following along with me, and then submit their work when done.

While I do not feel that I will ultimately have very many failures in this class, it frustrates me that many choose to wait until the end of the grading cycle to perform. Why just not perform the entire time and the stress level will be much lower?