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ERIC Number: EJ1387580
Record Type: Journal
Publication Date: 2023
Pages: 17
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1051-1970
EISSN: EISSN-1935-4053
Using Clickers to Address Common Errors and Misconceptions in Statistics
Cline, Kelly S.; Huckaby, David A.; Zullo, Holly
PRIMUS, v33 n5 p538-554 2023
Using clickers in the statistics classroom can help students identify and understand common errors and misconceptions through a combination of surprise and discussion. Students are presented with multiple-choice questions that they discuss with each other and then vote on; a class-wide discussion follows. Questions for which many students vote for the same wrong answer and questions that reveal a common misconception jolt students' attention and lead to fruitful discussions. To identify the questions that most effectively target misconceptions, we recorded the percentage of the class voting on each of the possible responses on every clicker question used in 28 sections of introductory statistics courses taught by 3 instructors at 2 institutions. For each question, we identified the distractor that attracted the highest percent of votes on average. We present and discuss the six questions for which this average was at least 50%. We find that each of these question statements is fairly brief and tightly focused on a particular common error or misconception.
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Texas; Montana
Grant or Contract Numbers: N/A