Learning Outcomes that Lead to Student Success 

What are learning outcomes and why do you need them?

There’s a famous misquote from Lewis Carroll, “If you don’t know where you’re going, any road will get you there.” The same is true in our courses: if you don’t know what you want your students to learn, it doesn’t really matter how or what you teach them. Every instructor wants to ensure student success, but if we as instructors don’t have accurate and well-thought-out learning outcomes, what does success mean in our classes? Creating learning outcomes should be a collaborative process where instructors responsible for teaching a course come together to craft these statements based on the most important learning in a course, taking care to maintain a balance between critical thinking and base knowledge while keeping an eye toward what makes a learning outcome an achievable learning goal.

Learning outcome creation

Before you create course learning outcomes

  • If your course is part of a program, you should ensure that the learning outcomes mesh with the rest of the program to meet all program learning outcomes.
  • Plan collaboratively with colleagues teaching the same course. All learning outcomes for sections taught of the same course should have the same learning outcomes according to the HLC (Higher Learning Commission) criteria 3a.
  • With colleagues, determine and list the most important learning or skills that will take place in this course.
  • Whittle down the list if it is too large. Consider what you and your colleagues can reasonably accomplish during the semester.
  • Pay attention to the conversation around Generative AI. What your students need to know and do may change because of the rapid development of AI.

Considerations as you create your learning outcomes

  1. Keep assessment and, therefore, your verb choices in the forefront of your mind. As you write learning outcomes, you want to ensure that the learning outcomes contain actions that can be demonstrated. When you ask students to “understand” something, this is difficult to demonstrate. If they “explain” it instead, that is an action that can be done and measured in various ways.
  2. Keep Bloom’s Taxonomy next to you as you create. It makes sense to use a taxonomy when writing outcomes. In Bloom’s model, skills and verbs on the bottom of the pyramid are less complex or intellectually demanding than those at the top of the pyramid; keep in mind they may still be totally appropriate, especially for lower-level courses. More critical thinking skills are required for those skills at the top of the pyramid, but it is useful and acceptable to use verbs and abilities from all levels of the pyramid. If you are teaching an upper-level course, you don’t want to draw all your verbs and skills from Bloom’s Taxonomy’s knowledge level. You should be using some higher levels in Bloom’s system.  The chart below can be a guide as you create those learning outcomes and note that generative AI developments may make the original chart problematic in different ways. There are alternatives to Blooms, as well.

    Alternatives to Blooms Taxonomy levels and verbs.
    Newtonsneurosci, CC BY-SA 4.0 <https://creativecommons.org/licenses/by-sa/4.0>, v Wikimedia Commons
  3. Use SMART Goals also. In addition to including Bloom’s Taxonomy as part of your learning outcomes, we encourage you to make sure that your learning outcomes are created using the SMART goals model.   SMART goals were developed in 1981 by George Duran, who noticed that most business goals were not created in a way that could be implemented effectively.

SMART is an acronym we can use to describe the attributes of effective learning outcomes for your students. Please note that you will find different versions of the acronyms in the SMART goal model, but these are the ones CATL uses to discuss learning outcomes:

    • Specific – target a specific area, skill, or knowledge
    • Measurable – progress is quantifiable
    • Attainable – able to be achieved or realistic
    • Relevant – applicable to the students in the class
    • Time-based – achieved in a specific timeframe, such as a semester

Example: By the end of the semester (T), students will be able to diagram (M) the process of photosynthesis (S, A) in this biology class (R).

Learning outcomes are more likely to be meaningful if they can meet all of the qualifiers in the SMART acronym. Think specifics as you create your learning outcome. If you can’t tell if your learning outcome meets one of the qualifiers, you should rework it until it does.

Review your learning outcomes

Your next step as a team should be to review your learning outcomes. Compare them to the SMART model and Bloom’s Taxonomy or any other relevant model you might be using. If it helps, consider these examples. First, “Students will improve their understanding of passive voice.” On the surface, it might look like a reasonable goal, but then as you ask, “What does it mean to improve? Where did the student start from? When does this need to be done by?” This goal offers no answers to those questions.

How about this one? “By the end of the semester, all students will receive a 100% score on their math notation quiz.” For context, this is a Writing Foundations course. That begs the question, is this outcome relevant to this group of students? Is 100% a reasonable and attainable goal?

Consider these questions as a guide when creating SMART goals. A more reasonable goal for this group of writing students is that by the end of the semester, students will be able to identify and accurately and effectively use scholarly research in their writing projects 80% of the time. One part of the review process is ensuring your outcomes are SMART, but there are additional elements to consider, including the questions below.

  • Can you identify the verb in your learning outcome?
  • If your students master the skills in your learning outcomes, will they be satisfactorily prepared to go to another course that teaches the next level of this material?
  • If this is a course in a series, have you checked to be sure that your outcomes make sense with the previous and next courses?
  • Has your unit done curriculum mapping for its goals, and do your course outcomes align with that mapping?

Put it all together

Creating learning outcomes that reflect the learning necessary to achieve mastery in a course can be an arduous process. It should be a collaborative process as well. We encourage you to reach out to the CATL team if you would like guidance or help walking through Bloom’s Taxonomy and the SMART goal model. We are always available to help!

Resources on creating learning outcomes

So You Want to Be Flexible: Canvas Can Help

Article by Luke Konkol

In a time when students might require extra flexibility, it’s important to remember that it should not come at the expense of instructor bandwidth. Providing extensions on student work, alternative assignments, or dropping work can have a positive impact on students, but how can we best find the sweet spot between an inflexible structure and ‘anything goes’? Some answers lie in Canvas features. In this post, I’ll share a few ideas of how you might set up Canvas for your own benefit, in addition to students’.

“I Just Need a Little More Time.”

By default when you make a Canvas assignment, it’s assigned to every student and the due dates apply accordingly. However, you can also get specific and assign different dates to individual students. It’s easy to get lost in a sea of emails asking for extensions, and masses of sticky notes and spreadsheets suggest that no method of tracking them has been totally effective. By updating the assignment dates for each student who gets an extension, Canvas will track this for you and the student alike.

Some instructors also don’t realize how late work shows up on the student side. When work is late, Canvas is overly clear, marking it with a big red “LATE”. This can be off-putting to otherwise achieving students—especially when the work is not actually late. Adjusting a student’s individual due date means their work will only be marked as late if it is submitted past their specific due date.

A Usable Gradebook

An indication of ‘late’ work also shows up in your gradebook. Unfortunately, Canvas doesn’t make their cacophony of symbols and highlights transparent anywhere within the gradebook itself, so those individual cells just turn into noise. This is less true if you can use these features of the gradebook to their full potential. One first step is using individual due dates as described above; when you do, the highlight for “late” work starts to mean something.

Excusing and Dropping

Canvas grading is also not as “all or nothing” as it first appears. What seems like a flaw can work to our advantage: anything un-graded does not count against students in the way a zero would. But it’s sometimes difficult for students (and the future you) to interpret this lack of data. Canvas has thought this one through. You can make it explicit which assignments will not be counted towards a student’s final grade by marking such assignment as “excused”.

Excusing work is a good option if the dropped score doesn’t apply to everyone, but what if you want to discount a graded item for the entire class? You can tell Canvas to drop certain assignments, such as the lowest in an assignment group, by setting up assignment group rules. The thing to remember is to enter those zeroes for missing assignments—otherwise Canvas will drop the lowest scored assignment instead.

Assignment Groups

In fact, there are several tricks you can use so the Canvas gradebook tracks scores but assignments ‘count’ differently. For example, some instructors prefer to manually assign scores elsewhere but still want Canvas to serve as the interface for student work. A rather extreme example (using labor-based grading) can be found here. Whenever you use unconventional grading methods, the key is to be transparent with students about what Canvas (and you) are doing. This guide on group weights is enough to get you started on this advanced topic, but we recommend setting up a CATL consultation if this is something you’d be interested in exploring further.

The Learning is in the Doing “So Far”

These tips demonstrate the way in which, at first blush, Canvas seems to focus its flexibility on the student side of the equation. This is to say, instructor errors (like forgetting to enter a zero) seem to unduly benefit the student. But these effects are just symptoms of a wider philosophy underlying the way Canvas works. Like any learning management system, Canvas is based on the idea that a certain transaction is taking place, but instead of focusing on a raw accumulation of points (like other LMSs) Canvas’s approach to scoring is a reflection of how students are doing “so far”. If a student only does one of ten assignments but does it well, Canvas tracks this as success.

What does this do for us? For me, it clues us into a different way to think about student progress—and one that speaks directly to students achieving objectives. If we want students to be able to X, why have a dozen assignments asking them to do so if they succeed in doing it in two or three? Despite a distaste for ‘busy work’ shared by instructors and students alike, it tends to creep into the online environment. The silver lining is that the boost in remote learning (where the necessity that we clearly articulate the work we expect from students is highlighted) has revealed the craving we all seem to have for objective-centered student work.

A Note on Objectives

So, you want a student’s grade to reflect their meeting objectives instead of a raw accumulation of points. Now what? That’s a good question—and the answer is bigger than we’ve got the space to address here. My temporary answer is a cop-out: keep your objectives in mind as the driving factor for using the techniques I’ve provided above.

But give it some further thought. If this idea of objectives-based grading is intriguing to you, consider that Canvas has a spot for you to create outcomes and that you can then attach these outcomes to assignments.

As if this weren’t enough, Canvas even has an alternative gradebook based on what they call “learning mastery” which tracks this very thing using benchmarks for mastery you set. I didn’t advertise this above because the focus of this post is on practical action you can take now to save yourself some work, but if this is something you’d like to explore further, please don’t hesitate to schedule a consultation!

What Do You Think?

How do you manage flexibility in your courses? What Canvas (or other) ‘hacks’ do you have to share with your colleagues? Let us know below! I’ve also been thinking a bit lately about how some of these practices (e.g. objective-based grading) might be worth keeping around even once things “go back to normal”. I’m curious to hear from you on this. How have your grading practices changed? Is there anything you’ve started doing that you plan on keeping going forward?

Essential Statement for Your Course

Much of instructional design and online learning focuses on objectives which gauge student progress by measuring what students do. This is important because teachers ought to know the degree to which student mastery results from the instruction of the course. Yet, those objectives cannot get at the immeasurable benefits of learning that we hope students take from the course and transfer to their lives outside the classroom. Essential statements are where instructors articulate those big ideas which make the course meaningful for students and allow the course to live on in the minds of students long after they have forgotten many of the specific details they learned.

Essential statements work hand-in-hand with course objectives. The essential questions allow instructors to remain focused on the big important ideas of their disciplines even as the course objectives try to give a measurable shape to those big ideas. Essential statements help instructors answer the question: Why am I having students complete these objectives? While the objectives help instructors assess: How will I know that students grasped the essence of this course?

One way to think about the essential questions of a course is to ask: What do I want students to remember about the course five years from now? Students will probably not remember specific objectives, but hopefully they will remember some enduring question, such as:

  • Whose perspective matters here?
  • What is the relationship between truth and fiction?
  • How does what we measure influence how we measure?

Resources