June 11th, 2018

Taking the Class Temperature: Cognitive and Affective Feedback

By:

climate for learning: affective feedback

“Are students getting it? How do I know?” Instructors answer these questions through a variety of assessments, from small, informal methods such as asking students if they have questions, to formal, graded methods such as multiple-choice exams and research papers. These assessments provide cognitive feedback, whether in the form of a score, a correction, lack of an answer, or an abundance of questions. But is that the whole picture? While these assessments can help us gauge how well students are “getting it,” it often fails to explain why or why not.

The conditions around learning, such as students’ emotional experience, are often invisible to instructors—and sometimes even to students themselves. This type of feedback can be understood as affective feedback. Hardiman (2002) calls this “testing the emotional temperature” of the classroom and it involves getting a sense of the underlying conditions influencing students’ ability to learn effectively. Cognitive feedback tells us Student A scored a C- because she skipped nearly half of the quiz questions for a psychology course; affective feedback might tell us she struggled to process questions on trauma due to a painful connection to the subject matter. Cognitive feedback tells us Student B has missed most Friday class sessions; affective feedback might tell us he skipped these classes due to anxiety about group work. Affective feedback has the power to help instructors understand why students are going off track and help them course-correct.

You can “take the class temperature” by evaluating how often you receive both cognitive and affective feedback. We evaluate our feedback collection methods in three ways: frequency, form, and function.

  • Frequency: How often do you solicit feedback?
  • Form: In what way do you solicit feedback?
  • Function: Is feedback optional or mandatory? If mandatory, are the stakes high or low?

For example, in a freshman composition course, we found that cognitive feedback was collected every week through quizzes, problem-based learning activities, discussion forums, and projects leading up to a research paper. The stakes for most of these was low, many of which directly built toward two high-stakes assignments. Looking at affective feedback in the same course, we found that there was one optional, weekly opportunity to collect feedback; two mandatory activities; and two other optional opportunities. Here are a few examples of the affective feedback activities we identified:

  • Weekly Social Forum – Every week, the instructor provided an online forum prompt aimed at building a community of learners in different ways: sharing study behaviors and tips, discussing course concepts’ real-world application, and reflecting on learning experiences in previous classes, among others. This forum often shed light on the experience of learning within the class and the life circumstances surrounding the class experience. Students received extra credit for participating in the forum.
  • Beginning of the Semester Survey – During weeks 1 or 2, students completed a survey about their experience with course concepts and format (e.g. have they taken an online course before, used a discussion forum, engaged in web-conferencing, worked in teams?). At the end, students answered whether they had concerns about their ability to succeed in the course. The instructor then followed up with any students who indicated they had concerns.
  • Progress Report Journal – Before the official midterm point, students were asked to report their grade and attendance, reflect on their course performance, provide course feedback, or ask questions. The details of this reflection are further discussed in one of the author’s previous Faculty Focus articles, “Assignment Helps Students Assess Their Progress.” This assignment is not graded but students must complete it before moving onto other graded work.
  • Help! Line – At points in a larger project where students often get stuck—what has been referred to as a procedural bottleneck (Hinds, 1999)— a Help! Line can help bring those often-invisible issues to light before students fall too far behind. It is a simple text journal placed in the learning management system (LMS) where students are invited to ask questions or simply say “I’m stuck. I don’t even know what to ask!” A response to this assignment automatically triggers an email alert to the instructor. This can be done in print form as well by asking students to briefly report their status on a project on a notecard and collecting these notecards at the end of class. This activity is optional.

Reflection activities are a common affective feedback opportunity, as students are asked to think about their experience learning in the class and how learning behaviors and life circumstances have likely influenced their course experience. We share these ideas to illustrate that affective feedback can be collected in a variety of ways, some as brief as a two-question survey or rating level of comfort with material at the end of a class (e.g. 1 = “Yes, I totally get it.” to 5 = “I’m totally lost.”). Especially when working with large classes, consider how technology can help. For example, a University of Michigan professor developed a tool that allows students to send “confusion alerts” during a live class session, and most learning management systems have ways to track how students are interacting with online content, such as what links they have opened or how often they have logged into the course page.

No matter what tech tools are at your disposal, there are always opportunities to take the emotional temperature of your classroom. Doing so has the potential to build learner confidence, improve faculty-to-student relationships, and ultimately help students succeed.

References
Hardiman, M. (2012). The brain-targeted teaching model for 21st century schools. Thousand Oaks, CA: Corwin.

Hinds, P.J. (1999). The curse of expertise; The effects of expertise and debasing methods on predictions of novice performance. Journal of Experimental Psychology: Applied, 5, 205-221. doi: 10.1037/1076-898X.5.2.215

McKenzie, L. (2018, Feb 5). The ‘Huh?’ button: A lecture-capture platform with a ‘confusion alert’ button is changing the way some instructors teach. Inside Higher Ed. Retrieved from https://www.insidehighered.com/news/2018/02/05/confusion-button-alerts-professors-struggling-students

Moore, C. (2017, Feb 6). Assignment Helps Students Assess Their Progress. Faculty Focus. Retrieved from https://www.facultyfocus.com/articles/effective-teaching-strategies/assignment-helps-students-assess-progress/

Christina Moore is the virtual faculty developer in the Center for Excellence in Teaching and Learning at Oakland University. She has also taught composition courses at OU. Her work focuses on student writing in digital media, educational technology, and the scholarship of teaching and learning.

Dan Arnold is the manager of support services for e-learning & instructional support at Oakland University. He has also taught graduate-level courses in organizational and higher education leadership. His work focuses on faculty development in online teaching, instructional design, and student performance.