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Getting Students to Do Economics: An Introduction to Team-Based Learning

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Abstract

Team-Based Learning (TBL) is a highly structured form of cooperative learning that facilitates development of higher-order cognitive skills such as application, analysis and evaluation. In this paper, I discuss the basics of the TBL approach in the context of a data analysis course for economics majors and address some of the questions and concerns about TBL that are common among instructors new to the pedagogy. Data from student surveys suggest that this approach is highly engaging for students and encourages them to work more effectively on much more complex problems than would otherwise be possible.

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Notes

  1. Michaelsen et al. (2014) provide an excellent discussion of the differences between cooperative learning, collaborative learning, problem-based learning and team-based learning.

  2. The Appendix contains an example of language that could be put in a syllabus to explain TBL to students.

  3. It should be noted that Hettler’s 2006 results were from the first semester in which TBL was implemented by the instructor. Given the ‘learning curve’ associated with TBL, it is possible that issues with implementation may have reduced the effectiveness of the pedagogy.

  4. I should note that many of those questions are also on a knowledge survey that students take the first week of the semester; that gives me and them some indication of how much review they will need to do.

  5. In the TBL community, these are more often called ‘RATs’, short for Readiness Assurance Test.

  6. IF-AT forms are available from Epstein Educational Enterprises (http://www.if-at.com/home/).

  7. You can also get IF-AT forms with four answer choices.

  8. To ensure students complete these pre-class assignments, there is a quiz on the learning management system with questions that can be easily answered from the assignment; students can take the quiz as many times as they want to get full credit.

  9. I give teams a small number of points for their worksheets, based on the completeness of their explanations; however, many TBL instructors do not give grades or credit for team applications.

  10. I also point out to them that, usually, both X and Y are assumptions people might have for different reasons, like political beliefs, which is why I am constantly telling them all to be aware of their own biases.

  11. I set the weights so that 25 % of the final grade is based on team activities (that’s 18 % from the team RAs and 7 % from the team applications). The other 75 % of the grade comes from the individual RAs (10 %), individual participation based on clicker responses and pre-class homeworks (10 %), two in-class exams (20 %), and two writing projects (15 and 20 %). Thus, 55 % of a student’s grade is based on summative assessments (the exams and writing projects).

  12. The questions are largely adapted from a survey that San Diego State University Instructional Technology Services asks all clicker-using faculty to give.

  13. I omit responses for Fall 2010 because that was both the first semester I taught the class and the first semester I used TBL, and I made numerous adjustments to the course between the Fall 2010 and Spring 2011 semesters. The course overall has largely remained unchanged since Spring 2011.

  14. It should be noted that this would be a useful exercise for anyone teaching a ‘flipped’ class.

  15. I measure ‘ability’ by asking the students if they took the lower-division statistics course more than once and if they have ever tutored for economics or statistics.

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Correspondence to Jennifer Imazeki.

Appendix: Syllabus Explanation of TBL

Appendix: Syllabus Explanation of TBL

We will be using a learning strategy known as ‘team-based learning’ (TBL); the majority of the work in this class will be done in teams that will be established at the beginning of the semester.

How does TBL work? You will spend most of your time working in teams, applying what you have learned from outside readings (and your own review of statistics). The course is divided into several units where each unit lasts a few weeks and follows the same structure:

  1. 1.

    Students read the assigned material for the unit. This will generally be readings in the Greenlaw (2006) and Klass (2012) books. There will be reading guides provided that are a series of questions that you should be able to answer by the time you come to class.

  2. 2.

    At the beginning of each unit, students will take an “individual Readiness Assessment” (iRA) in class to be sure that they have sufficient knowledge to work problems from this unit. Questions will primarily be over definitions or will be simple applications of facts and definitions. These will be multiple-choice (you will need scantron forms) and will be graded.

  3. 3.

    Immediately following the iRA, students will answer the same questions as a team, with a “team Readiness Assessment” (tRA). This too will be graded. All team members receive the team score.

  4. 4.

    Disputes over missed questions on the tRA can be appealed to the instructor. The appeal must come from the team, it must be written, and it must come no later than the beginning of the next class (detailed instructions for appeals will be distributed later and are posted on Blackboard). All affected students on the team will have their scores changed.

  5. 5.

    The instructor will address common errors on the RA to the class as a whole.

  6. 6.

    Over the following classes, teams solve real-world problems and answer questions that economists must answer as they do their work. Team Applications generally pose a question and ask each team to make a decision. Your team will need to poll each member, listen to each member’s ideas and their explanation of why their idea is the best, and then reach a team consensus. At the end of your deliberation, all of the teams will simultaneously report decisions. Then we’ll discuss the question as a class. Any member of your team may be called upon to explain your team’s response and points may be awarded to the team based on these responses. Several of the Applications also have an individual component that must be completed prior to coming to class. These assignments will involve reading chapters in the Maier book (1999), or articles by other economists, and answering some questions, and/or getting data and doing something with it. That information will then be used to have deeper discussions and make better decisions with your team. In general, you can expect to have something ‘due’ almost every class.

  7. 7.

    At the end of the semester, students complete a confidential evaluation of their teammates, based on their participation in team activities (Did they come to class regularly? Were they prepared for the day’s activity? Did they contribute productively to the team? Respect others’ ideas?). There is a copy of the Peer Evaluation form on Blackboard; note that you will have to distinguish between your teammates. The peer evaluations will be used to weight the Team portion of your grade.

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Imazeki, J. Getting Students to Do Economics: An Introduction to Team-Based Learning. Int Adv Econ Res 21, 399–412 (2015). https://doi.org/10.1007/s11294-015-9541-0

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