32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE ictcm.com | #ICTCM
32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE #ICTCM “How Learning Catalytics Changed My Mind About Using Smart Devices in the Classroom” Heather Manhart; Instructor Department of Mathematics Campbell University
32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE #ICTCM Abstract • Once an adversary to the use of smart devices in the classroom, I never thought that the Learning Catalytics offered through Pearson’s MyStatLab could enhance my lectures. • After successfully delivering a Learning Catalytic assessment to my students, I found that reviewing the question and showing how to come up with the answer correctly, helped my students to assess themselves, which in turn, allowed them to ask me more questions to clear up any misunderstandings of the topic at hand.
32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE #ICTCM Abstract (Continued) Through trial and error, I soon realized how user friendly Pearson made • Learning Catalytics. I began forming questions that were multiple-choice, short answer, and word clouds by nature. I learned how each type of question benefited my students in different ways; all of which quickly assessed my students’ knowledge of the many topics presented in a statistics course. As for using smart devices to submit answers to the Learning Catalytics given • in the classroom, I devised a “Smart Device Usage Policy” for my students with clear guidelines. I reduced the amount of smart device usage for unauthorized purposes by clearly stating the consequences and by standing firm behind the penalties. My hope for this presentation of how Learning Catalytics enhance student • engagement is that participants will reconsider allowing Smart Devices during their lectures, if only for the purpose of student assessment. Needless to say, I am now an advocate for using smart devices in the classroom.
32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE #ICTCM So Why Use Learning Catalytics in the Classroom? Learning Catalytics give the instructor a way to quiz 40 or • more students easily. The grades for Learning Catalytics automatically synchronize • to the Blackboard Grade Book. Learning Catalytics make class lectures more interesting and • keep students engaged. Learning Catalytics help students achieve higher end-of- • course grades.
32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE #ICTCM Large Classes ~ 40 or More Students (My Summer 2019/Fall 2019/Spring 2020 Class Schedule) Course and Number of Semester Course Name Credit Hours Section Students MATH 160 – 1 Elementary Summer I 2019 13 Students 3 credits Statistics MATH 122 – 1 Calculus I 13 Students 4 credits MATH 160 – 1 Elementary Fall 2019 49 Students 3 credits Statistics Elementary MATH 160 – 5 47 Students 3 credits Statistics MATH 223 – 1 Calculus II 28 Students 4 credits MATH 223 – 2 Calculus II 15 Students 4 credits MATH 160 – 1 Elementary Spring 2020 40 Students 3 credits Statistics Elementary MATH 160 – 4 43 Students 3 credits Statistics Elementary MATH 160 – 7 43 Students 3 credits Statistics MATH 223 – 1 Calculus II 17 Students 4 credits
32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE #ICTCM Learning Catalytics Synchronize to the Blackboard Grade Book
32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE #ICTCM Example One: How Learning Catalytics Keep Students Engaged in Lecture ~ Multiple-Choice Question
32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE #ICTCM
32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE #ICTCM Example Two: How Learning Catalytics Keep Students Engaged in Lecture ~ Word Cloud Question
32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE #ICTCM Learning Catalytics Improve the Students’ End-of-Course Grades How?
32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE #ICTCM Grades for Spring Semester 2020 • Course: MAT 160 Elementary Statistics • Number of Sections for Course: 3 • Total Number of Students: n = 126 • Students Divided Into Data Sets A and B Data Set A: Grades Prior to Coronavirus Pandemic • (Classes were seated and LC Quizzes Given.) Data Set B: Grades Post-Coronavirus Pandemic • (Classes were online and LC Quizzes Not Given. Other Types of Quizzes Were Given.)
32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE #ICTCM Tests, Quizzes, and MyStatLab Assignments Tests and Assignments MAT 160_Section 1 Spring 2020 Test One: Chapters 1 and 2 Test Date: Thursday, February 6 th Definitions and Measuring Data Chapters One and Two MSL Homework: Averages Due Thursday, Feb. 6 th at 8:00 a.m. MSL Homework: Variation Pre-Coronavirus MSL Homework: Position (submit online) (6 LC Quizzes Given) Test Two: Chapter 5 Test Date: Thursday, February 27 th The Normal Distribution Chapter Five MSL Homework: Standard Normal Due Thursday, February 27 th at 8:00 a.m. MSL Homework: Normal Distrib. Prob. MSL Homework: Normal Distrib. Cut-Offs (submit online) MSL Homework: Sampling Distrib. Test Three: Chapter 6 Test Date: Thursday, March 26 th Confidence Intervals Chapter Six MSL Homework: Z-Intervals MSL Homework: T-Intervals Due Thursday, March 26 th 8:00 a.m. MSL Homework: Proportion Intervals (submit online) MSL Homework: Chi-square Intervals Post-Coronavirus Test Four: Chapter 7 Test Date: (See Final Exam Schedule.) (8 Non-LC Quizzes Given) Hypothesis Testing Chapter Seven MSL Homework: Z-Tests MSL Homework: T-Tests Due Reading Day: Thursday, April 23 rd at 8:00 a.m. (submit MSL Homework: Proportion Tests MSL Homework: Chi-square Tests online)
32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE #ICTCM Two Sets of Data Set A: Pre-Coronavirus Pandemic Final Grade • 50% Test Average (Test 1 and Test 2) 25% Quiz Average (LC Quizzes Only) 25% MyStatLab Assignment Average (Assignments Completed Pre-Coronavirus) Set B: Post-Coronavirus Pandemic Final Grade • 50% Test Average (Test 3 and Test 4) 25% Quiz Average (LC Quizzes Not Given/Other Online Quizzes Given) 25% MyStatLab Assignment Average (Assignments Completed Post-Coronavirus)
32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE #ICTCM How Did Grades Compare Pre-Coronavirus to Post-Coronavirus? • Final Grade for Set A > Final Grade for Set B • Quiz Average for Set A > Quiz Average for Set B
32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE #ICTCM Excel Spreadsheet ~ Page One Set A Set B Set A Set B Pre_Coronavirus Post_Coronavirus Pre_Coronavirus Post_Coronavirus Final Grade Final Grade Quiz Average Quiz Average LC’s Only Non- LC’s/Other LC’s Only Non- LC’s/Other First Name 1. Brian 95.875 97.21875 100 93.875 2. Georgeanna 94.87904 94.75 83.33333 100 3. Lydia 84.29166 83.62062 66.66666 91.875 4. Ashley 87.54166 98.04562 66.66666 100 5. Marqueese 47.0119 24.85625 33.33333 12.5 6. Jensen 84.70833 59.92156 83.33333 57.5 7. Alexis 89.82761 71.755 83.33333 44.75 8. Meredith 91.70833 85.62343 83.33333 86.5 9. Keegan 84.49404 81.00781 83.33333 72.5 10. Sophie 94.81547 85.98531 83.33333 83 11. Magic 82.28988 76.99968 66.66666 58.5 12. Camryn 100.75 100 100 100 13. Shaleah 94.25 91.085 100 98.875 14. Breanna 61.53571 68.82 50 62.75 15. Houston 94.95833 88.10968 83.33333 77
32 nd International Conference on Technology in Collegiate Mathematics VIRTUAL CONFERENCE #ICTCM Excel Spreadsheet ~ Page Two 16. Jackson 97.5 86.0675 100 74 17. Megan 85.69452 79.68625 66.66666 85 18. Gustavs 80.33333 93.5425 83.33333 86.5 19. Joshua 76.12309 73.74125 66.66666 74 20. Richard 70.375 79.89312 50 74.125 21. Joshua 94.25 91.23625 100 93.875 22. Essence 88.14869 85.5325 83.33333 53.375 23. Kaitlin 99.125 96.25 100 100 24. Joseph 90.08333 74.56906 83.33333 43.125 25. Kasey 84.07726 90.93812 83.33333 88.375 26. Tamara 85.91666 78.98562 66.66666 56.375 27. Dervon 89.81261 87.48593 83.33333 85 28. Faith 62.25 93.425 50 87.5 29. Ethan 92.08333 75.665 83.33333 87.5 30. Kathleen 93.33333 98 83.33333 100 31. Fredrick 94.95833 92.21875 83.33333 70.875 32. Sharice 71.67773 70.32937 66.66666 42.625 33. MacKenzie 87.27095 86.95187 66.66666 85.5
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