In-Class Cell Phone Use and Grades

Slides:



Advertisements
Similar presentations
Associations Between Parental Monitoring, Adolescent Disclosure, and Adolescent Risky Internet Behaviors Elizabeth Yale, M.A., Aaron Metzger, Ph.D., Amanda.
Advertisements

Champions Inside and Outside the Classroom: Analyzing extracurricular activities, academic self- efficacy, & academic achievement. Shults, L. S., Gibson,
NCAA Eligibility Center.  NCAA Eligibility Center Responsibilities.  Academic Initial-Eligibility Requirements.  Amateurism (Sports Participation).
Perceptions of English 110 Christina DeLapp, Michael Jobb & Shevaun Watson English Department, University of Wisconsin-Eau Claire “I’d like more meaningful.
Assessment of the Impact of Ubiquitous Computing on Learning Ross A. Griffith Wake Forest University Ubiquitous Computing Conference Seton Hall University.
Mark Troy – Data and Research Services –
College Student Identity and Emotional Intelligence Abstract This research examines the longitudinal relationship between identity and emotional intelligence.
STAAR EOC Elizabeth Lalor Senior Director of Academic Support
Is College Success Associated With High School Performance? Elizabeth Fisk, Dr. Kathryn Hamilton (Advisor), University of Wisconsin - Stout Introduction.
Writing an Effective Proposal for Innovations in Teaching Grant
Please CLOSE YOUR LAPTOPS, and turn off and put away your cell phones, and get out your note-taking materials. Today’s daily quiz will be given at the.
Hybrid Statistics Clicks Janet Winter Penn State Berks.
Looking Good, Teaching Well? Linking Liking, Looks, and Learning Regan A. R. Gurung, Kristin M. Grudzielanek, and Christina J. Tosh Attractiveness is a.
Redesign of PSYC 1101 into a 50% Online (Hybrid) Course Sue Spaulding, UNC Charlotte Pearson Education March 9, 2012 Boston Office.
Meeting the Needs of Gifted Students Through the Use of Differentiated Instruction Angela Nicole Flenniken University of Saint Thomas Research Professor:
Writing Program Assessment Report Fall 2002 through Spring 2004 Laurence Musgrove Writing Program Director Department of English and Foreign Languages.
25 th September 2009 Managing Cross-Organisational Research Teams Aaron Jarden.
Literature on electronics as distractions  % of students report texting in class;  Over 99% while studying  97% report noticing other students.
Amber S. Emanuel 1, James A. Shepperd 2, Virginia J. Dodd 1 & Henrietta Logan 1 1 Department of Behavioral Sciences & Community Dentistry, University of.
Hands on Statistics: Active learning in College Guojing Wang, Maika Yanagishita, Andrew Hwang, James Florczak Introduction As learning assistants for Statistics.
Enhancing Parents’ Role in Higher Education Assessment Anne Marie Delaney Director of Institutional Research, Babson College.
Viral Knowledge for Any Discipline: A Health Communication Instructional Case Exemplar for Teaching Students to Distribute Learning! Jessica J. Eckstein,
Please CLOSE YOUR LAPTOPS, and turn off and put away your cell phones, and get out your note-taking materials. Today’s daily quiz will be given at the.
Improved Performance and Critical Thinking in Economics Students Using Current Event Journaling Sahar Bahmani, Ph.D. WI Teaching Fellow INTRODUCTION.
Teaching the iGeneration THE “PSYCHOLOGY OF TECHNOLOGY” San Domenico School September 17, 2013 Larry D. Rosen, Ph.D.
Wendy Wolfe, Forrest Files, & Shrinidhi Subramaniam Abstract Method This study assessed self-reported alcohol use by college students during a variety.
Exploring Honors Students’ Levels of Academic Motivation, Perfectionism, and Test Anxiety Hannah Geis, Kelly Hughes, and Brittany Weber, Faculty Advisor:
Exploring the Relationships Among College Students’ Goal Orientations, Perfectionism, and Academic Self-Efficacy Hannah Geis and Brittany Weber, Faculty.
University of Arkansas Faculty Senate Task Force on Grades Preliminary Report April 19, 2005.
Robert W. Arts, Ph.D. Professor of Education & Physics University of Pikeville Pikeville, KY The Mini-Zam: Formative Assessment for the Physics Classroom.
Maximizing Learning Using Online Assessment 2011 SLATE Conference October 14, /12/ P. Boyles, Assistant Professor, Chicago State University,
School of Science and Technology Drs. Mai Yin Tsoi, David Pursell, Patrick Coppock, Sang Park, Richard Pennington, Joseph Sloop, Julia Paredes, Dave Gabrell.
Five Ways to Motivate e-Students Johannah Casey-Doecke, Ph.D. E-Course Designer and Online Lecturer 1.Be a Leader. Methods:  Provide clear directions.
Tonya Filz & Regan A.R. Gurung University of Wisconsin – Green Bay Abstract As class sizes increase due to stagnating budgets, and as colleges and universities.
STEPHANIE AFFUL JANUARY 30, 2013 Using Clickers in Fontbonne Classrooms.
Teaching Thermodynamics with Collaborative Learning Larry Caretto Mechanical Engineering Department June 9, 2006.
BROCHURE (for advance posting, publication, distribution) WORKSHOP on Maine Teacher Certification April 29, 2015 at 6pm Have you ever wondered what is.
Online Course Evaluations Is there a perfect time? Presenters: Cassandra Jones, Ph.D., Director of Assessment Michael Anuszkiewicz, Research Associate.
Implications of Mediated Instruction to Remote Learning in Mathematics Joy L. Matthews-López Educational Testing Service Sergio R. López-Permouth David.
Student Preferences For Learning College Algebra in a Web Enhanced Environment Dr. Laura J. Pyzdrowski, Pre-Collegiate Mathematics Coordinator Institute.
Academic procrastination of undergraduates: Low self-efficacy to self-regulate predicts higher levels of procrastination Source: Contemporary Educational.
LISA A. TOBLER, M.S. Introduction to Psychology PS124 Seminar #1.
Introduction Disordered eating continues to be a significant health concern for college women. Recent research shows it is on the rise among men. Media.
Fair and Appropriate Grading
1 STAT 3080/APMA 3501 From Data to Knowledge Fall 2014 Malathi Veeraraghavan Professor, Electrical & Computer Engineering Dept. Course web site:
Personally Important Posttraumatic Growth as a Predictor of Self-Esteem in Adolescents Leah McDiarmid, Kanako Taku Ph.D., & Aundreah Walenski Presented.
Online students’ perceived self-efficacy: Does it change? Presenter: Jenny Tseng Professor: Ming-Puu Chen Date: July 11, 2007 C. Y. Lee & E. L. Witta (2001).
HE 550: Higher Education Finance Unit 7 Seminar Pre-Seminar Welcome to HE 550: Educational Program Assessment, Unit 7 Seminar Seminar will begin at top.
LISA A. TOBLER, M.S. Introduction to Psychology PS124 Seminar #1.
Missouri Western State University NCAT Mid-Course Sharing Workshop Lou Fowler Associate Professor of Accounting
이화여자대학교 Combining Cooperative Learning And Peer Instruction In Introductory Computer Science (SIGCSE 2000 Proceedings) 002OFE03 비서교육전공 4 학기 황 정 희 J. D.
Blended Learning Strategies in a First- Year Engineering Program AMBER KEMPPAINEN, MICHIGAN TECHNOLOGICAL UNIVERSITY HOUGHTON, MI Keywords:
Putting those offending Cell Phones to work. Multi-Tasking hurts concentration and learning Wood E., Zivcakova L., Gentile P., Archer K., De Pasquale.
Kaitlyn Patterson & Wendy Wolfe
Chris Bjornsen Department of Psychology,
Mindi Price, Jessica L. Alquist, Ashalee M. Hurst
Psychology Minor Tutorial
Sexual Imagery & Thinking About Sex
Improving Student Engagement Through Audience Response Systems
Extending the Foreign Language Classroom
Friendship Quality as a Moderator
Evidence for gender bias in interpreting online professor ratings
Research Requirement Research participation gives you an understanding of the methods used by psychologists, and allows you a first-hand look at psychological.
Research Question Can reading guides help students in introductory statistics make better sense of their textbooks and achieve greater success in the.
School of Psychology, University of Aberdeen
The Heart of Student Success
An Empirical Study of Learning Strategy Use by Differently Proficient Students in a Web-based Environment Wang Zhiru.
Creating a community of learners to increase student success
Traditional Meana (SD)
USG Dual Enrollment Data and Trends
Presentation transcript:

In-Class Cell Phone Use and Grades Chris A. Bjornsen Longwood University Paper presented at the 60th annual meeting of the Southeastern Psychological Association, March 5-8, 2014, Nashville, TN.

Rationale What to do about in-class cell phone use? Students favor use significantly more than professors (Baker et al., 2012) 92% of students use phones during class (Tindell et al., 2012) A study of a “simulated” lecture demonstrated that texting resulted in 30% lower quiz scores (Froese et al., 2012)

Methods All students in my courses Fall 2013 semester (Intro to Psychology, Infant & Child Development, Cross-Cultural Psychology) earned extra credit for participation Cell phones could be used but only discretely, in student’s lap Emphasized there was no grade penalty regardless of amount of use Emphasized I wasn’t asking them to use their phones, nor was I recommending they do or do not Data collected and entered daily for each course Questionnaire included space for open-ended questions and comments about each class (this ends up being my favorite part of the entire process)

Results

Final grade distribution 18 male, 86 female N = 43 N = 33 N = 19 N = 4 N = 5

Approximately 50 students Earned a grade In my class that Was lower than Their overall GPA 10 students That was higher Than their Overall GPA Even though….

Email: 21% averaged 1 or less per day. 16% averaged 5 or more per day Email: 21% averaged 1 or less per day. 16% averaged 5 or more per day. The following correlations were computed using Average scores across the semester

Bivariate correlations: Email use not related to Test scores and GPA

Internet use not related to Test scores and GPA.

Making notes to self, checking calendar not related to Test scores and GPA.

Playing a game was significantly and negatively correlated with Test scores and GPA. (85% never played a game.)

ANOVA – Grade (test average) by Email total average Not significant

Data analysis strategy switched to employing a Linear Mixed Effects Model Understanding significantly predicted test scores. Every one unit increase in understanding resulted in a 3.7444 increase in test score p=0.0035

Linear Mixed Effects Model Interest significantly predicted test scores. Every one unit increase in interest resulted in a 2.9036 increase in test score. p=0.0019

Linear Mixed Effects Model Email/txt/facebook use was significantly related to test scores. Every one use increase in e-mail/txt/facebook resulted in a -0.7059 decrease in test score. p = 0.009

Linear Mixed Effects Model Any Use was significantly related to test scores. Every one use increase in cell phone use resulted in a -2.9480 decrease in test score. p = 0.0023

Discussion Limitations: one instructor, one University, student honesty (?) Cell phone use was clearly related to test scores, in a negative way Further analyses will examine relations between cell phone use within grade and GPA groups (possible quadratic trends) Special thanks for her statistical acumen: Kellie J. Archer, Ph.D. Associate Professor, Department of Biostatistics Director, VCU Massey Cancer Center Biostatistics Shared Resource Virginia Commonwealth University

Abstract - Proposal submitted for review. The present study examines the relations between in-class cell phone use among University students and achievement (course grades, GPA). Previous research has indicated that daily cell phone use is negatively correlated with grades (Harman & Sato, 2011), quiz scores are negatively affected by simultaneous cell phone use (Froese, et al., 2012), and texting or accessing social networking sites such as Facebook during class negatively impacts course performance (Wood, et al., 2012).   Participants are students in a section of Introduction to Psychology, Infant and Child Development, and Cross-Cultural Psychology. Thus, one set of analyses will focus on possible differences between lower versus upper-level University students. At present there are 118 students enrolled in the study. All class periods are one hour and fifteen minutes in length. Students were told at the beginning of the semester, when they enrolled in the study, that cell phone use during class was permitted but neither encouraged nor discouraged, and would have no bearing on course grades. Each class period (excluding test days) the instructor distributes a questionnaire with ten minutes left in the class for students to complete. In order to ensure that participants are providing useful data, after questionnaires have been collected, the instructor provides three additional lecture content items that students have been told will likely be included on a subsequent test. The daily questionnaire includes the following six items: 1. Rate your understanding of today’s class content (5-point Likert scale); 2. Rate how interested you were in today’s class content (5-point Likert scale). The following four items are followed by a list of numbers from 0 to 15 which students are use to indicate the number of times cell phones were used during that class period to: 3. read or send email, text message, Facebook, Twitter (social media); 4. access internet, a web page, for something (information); 5. write myself a note, check my calendar (organization); 6. play a game. Lastly, students are asked to write in any questions or comments about that particular class. Data collection will continue through the end of the semester. Data analyses will focus on 1. relations between understanding and interest in class content per day and cell phone use; 2. the prediction of course grades and GPA from in-class cell phone use, and 3. possible changes in cell phone use over the course of the semester in relation to test grades. Froese, Arnold D., Christina N. Carpenter, Denyse A. Inman, Jessica R. Schooley, Rebecca B. Barnes, Paul W. Brecht, and Jasmin D. Chacon. “Effects of Classroom Cell Phone Use on Expected and Actual Learning.” College Student Journal 46, no. 2 (2012): 323–332. Harman, Brittany A., and Toru Sato. “Cell Phone Use and Grade Point Average Among Undergraduate University Students.” College Student Journal 45, no. 3 (2011): 544–549. Wood, Eileen, Lucia Zivcakova, Petrice Gentile, Karin Archer, Domenica De Pasquale, and Amanda Nosko. “Examining the Impact of Off-task Multi-tasking with Technology on Real-time Classroom Learning.” Computers & Education 58, no. 1 (2012): 365–374. doi:10.1016/j.compedu.2011.08.029. Addendum: The results of the full study, conducted across the Fall 2013 and Spring 2014 semesters was subsequently published: Bjornsen, C. A., & Archer, K. J. (2015). Relations between college students’ cell phone use during class and grades. Scholarship of Teaching and Learning in Psychology, 1(4), 326-336. http://dx.doi.org/10.1037/stl0000045