Clickers in a First Statistics Course

Clickers in a First Statistics Course

Alice Marion Richardson (University of Canberra, Australia)
DOI: 10.4018/978-1-61350-062-0.ch008
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Abstract

This chapter reports on a three-year project to study to improve student outcomes in an introductory statistics course. Collaboration with a language expert led to the introduction of a variety of student-centred activities during the course. Some were online such as matching terms to definitions and multiple choice quizzes. Some were face-to-face such as the introduction of a student response system (commonly known as clickers). Results show a small but significant increase in grades following the introduction of these two interventions. A meta-analysis of research into the use of clickers was also conducted. This shows a small but significant increase in exam marks for students who used clickers in class. A Statistics Concept Inventory (SCI) was also used to assess students’ understanding of the course concepts. The usefulness of the SCI was partially supported, as many questions were better answered by more able students. The SCI was also used to assess retention from one semester to another. Again, the usefulness of the SCI is partially supported, in that students who remembered more of their introductory statistics study did better in a second statistics course.
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Introduction

A first or introductory statistics course forms a compulsory part of many undergraduate degrees. This may be because of professional requirements e.g. psychology, or university-wide requirements for a wide range of first-year courses. Because of the large numbers of students taking these courses, the course has already been the subject of a large body of research in the last few decades. One of the most recent outcomes of this research has been the Guidelines for Assessment and Instruction in Statistics Education (GAISE) report (Aliaga, Cobb, Cuff, Garfield, Gould, Lock, Moore, Rossman, Stephenson, Utts, Velleman and Witmer, 2005) setting out recommendations for the teaching of introductory statistics.

The first course in other scientific disciplines has also received attention. Zhang and Lidbury (2006) identified difficulties with language as contributing significantly to problems students experience in studying Genetics at the University of Canberra (UC). They identified ten strategies from the teaching of foreign languages, and implemented a selection of them in a Genetics classroom with much success (Lidbury & Zhang, 2008). (F. Zhang, Lidbury, Schulte, Bridgeman, Yates, et al., 2008) applied the same principles to first year Biology, Chemistry and Physics at a number of Australian universities. A selection of language teaching strategies was also implemented in Introduction to Statistics at the University of Canberra (UC) (Richardson and Zhang, 2008a, b). The strategies are given in Table 1. This paper reports on initial attempts to assess retention of knowledge from that revamped introductory statistics course to subsequent courses.

Table 1.
Language teaching strategies implemented in introduction to statistics
1. Providing a list of terms and placing these terms in relation, in groups.
2. Using warm up activities such as matching terms to definitions for revision purposes.
3. Using online language exercises such as crosswords, gap-fill (Cloze) exercises.
4. Using of flashcards for vocabulary revision.
5. Providing stimulus questions for lecture and tutorial materials online, thus encouraging students to prepare before the lecture.

Other successful activities were found in Schaeffer, Gnanadesikan, Watkins & Witmer (1996) including the living boxplot, similar to the living histogram created and photographed by Joiner (1975).

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