Presentation is loading. Please wait.

Presentation is loading. Please wait.

Transforming the Classroom Environment with Student Response Systems

Similar presentations


Presentation on theme: "Transforming the Classroom Environment with Student Response Systems"— Presentation transcript:

1 Transforming the Classroom Environment with Student Response Systems
Roxy Peck Cal Poly, San Luis Obispo

2 Reasons I decided to use a SRS
Student Engagement Requires all students to formulate an answer to questions posed Classroom Assessment Immediate feedback for the instructor Students can see how peers answered Collecting Data for Class Examples Classroom Management Taking roll Administering (and scoring!) Quizzes

3 Features of the TurningPoint Software
Demographic questions Data from demographic questions can be used to create group comparisons “Data-Slicing” Responses from two different questions can be cross tabulated Responses can be scored Data can be easily exported

4 For purposes of this demo…
You will play the role of students Odd numbered clickers Good Students Even numbered clickers Confused Students

5 What is your gender? Male Female 1 2 3 4 5

6 Which of the following best describes your college or university?
Public Community College Private community College Public comprehensive Private comprehensive Private Liberal Arts 1 2 3 4 5

7 What are some of the challenges facing teaching & learning in your classroom today?
Input responses… 0 of 5

8 The correlation coefficient for the data shown in the scatterplot below would be closest to
-1 -.5 .5 1 1 2 3 4 5

9 Consider the MINITAB output below
Consider the MINITAB output below. What proportion of the variability in fare can be explained by the linear relationship between distance and fare? Regression Analysis: Fare versus Distance The regression equation is Fare = Distance Predictor Coef SE Coef T P Constant Distance S = R-Sq = 93.5% 0.150 .935 1 2 3 4 5

10 Each individual in a random sample of 40 cell phone users was asked how many minutes of air time he or she used in a typical month. The data was then used to construct a 99% confidence interval for the mean monthly number of minutes of air time used. The confidence interval was (207, 293). Which of the following could be the 95% confidence interval constructed using this same sample? (200, 300) (218, 282) (227, 313) 1 2 3 4 5

11 The sample mean will fall between 207 and 293 for 99% of all samples.
Each individual in a random sample of 40 cell phone users was asked how many minutes of air time he or she used in a typical month. The data was then used to construct a 99% confidence interval for the mean monthly number of minutes of air time used. The confidence interval was (207, 293). Which of the following is correct? The probability that the population mean monthly air time is between 207 and 293 is .99. 99% of all cell phone users have a typical monthly air time use that is between 207 and 293. The sample mean will fall between 207 and 293 for 99% of all samples. None of the above is correct. 1 2 3 4 5

12 Enter answer text… Picture 1 Picture 3 2. 1. 3.
In a random sample of 2013 adults, 1283 indicated that they believe that rudeness is a more serious problem than in past years. Which of the test statistics shown below would be appropriate to determine if there is sufficient evidence to conclude that more than three-quarters of U.S. adults believe that rudeness is a worsening problem? Enter answer text… Picture 1 Picture 3 2. 1. 3. 1 2 3 4 5

13 In order to investigate a claim that the average time required for the county fire department to respond to a reported fire is greater than 15 minutes, county staff determined the response times for 40 randomly selected fire reports. The data was used to test H0: μ = 15 versus Ha: μ > 15 and the computed P-value was If a .05 level of significance is used, what conclusions can be drawn? There is convincing evidence that the mean response time is 15 minutes (or less). There is convincing evidence that the mean response time is greater than15 minutes. There is not convincing evidence that the mean response time is greater than 15 minutes. 1 2 3 4 5

14 The probability that the null hypothesis is true is .03.
In 2005, California instituted a campaign to increase enforcement of seat belt laws. Suppose that prior to this campaign, the proportion of traffic citations that were for failure to wear a seat belt was A random sample of traffic citations will be selected from those issued in 2005 in order to test Ho: π = .07 versus Ha: π > .07, where π is the proportion of 2005 traffic citations that are for failure to wear a seat belt. Suppose that the P-value from the test was Which of the following is a correct interpretation of the P-value? The probability that the null hypothesis is true is .03. The probability that the null hypothesis is false is .03. When the null hypothesis is true, the probability of seeing results as extreme as what was observed in the sample is .03. When the null hypothesis is false, the probability of seeing results as extreme as what was observed in the sample is .03. 1 2 3 4 5

15 Which of the following best describes the distinction between statistical significance and practical significance? Statistical significance is when the null hypothesis is rejected and practical significance is when the null hypothesis in not rejected. Statistical significance means that there was convincing evidence that the null hypothesis is not true, whereas practical significance means that there is convincing evidence against the null hypothesis and that the difference between the true value and the hypothesized value is large enough to be of interest in the given context. There is no distinction between statistical significance and practical significance—they are interchangeable terms that describe the situation when the null hypothesis is rejected. 1 2 3 4 5

16 Collecting Class Data Survey students Easy with categorical variables
Some numerical variables easy Some additional numerical variables with a bit of work Some simple analysis within TurningPoint Data in a form that is easy to export and bring into a statistics software package for analysis Quick, paperless, and no data entry time

17 Which of the following would you most like to receive?
Olympic Gold Medal Academy Award Nobel Prize MacArthur Fellowship 1 2 3 4 5

18 How many body piercings do you have?
1 2 3 4 5 6 7 8 1 2 3 4 5

19 How much did you spend on textbooks this quarter? (Question 1)
Less than $100 $100 - $199 $200 - $299 $300 - $399 $400 - $499 1 2 3 4 5

20 How much did you spend on textbooks this quarter
How much did you spend on textbooks this quarter? Throw away the hundreds digit and then select the appropriate response. (Question 2) 00 – 09 10 – 19 20 – 29 30 – 39 40 – 49 50 – 59 60 – 69 70 – 79 80 – 89 1 2 3 4 5

21 How much did you spend on textbooks this quarter
How much did you spend on textbooks this quarter? Throw away the hundreds and the tens digits and then select the appropriate response. (Question 3) 1 2 3 4 5 6 7 8 9 1 2 3 4 5

22 Computing total text book cost…
Total amount spent = (question 1 – 1)*100 + (question 2 – 1)*10 + (question 3 – 1)

23 Quizzes Quiz questions can be embedded in the class presentation.
You can decide which questions are “scored” and the point value of each question.

24 Reports TurningPoint Outline
Response data export (easy to modify, save, and import into stat package) Graded Participant Responses (quiz scoring) Demographic comparisons (tables and graphs) Data by question Many others…

25 Do you think a SRS will make a difference in teaching & learning?
Yes No Unsure 0 of 5

26 Any Questions? …Comments? …Thoughts? …Ideas?


Download ppt "Transforming the Classroom Environment with Student Response Systems"

Similar presentations


Ads by Google