Procrastination in Online Exams: What Data Analytics Can Tell Us? Yair Levy, Ph.D. Graduate School of Computer and Information Sciences Michelle M. Ramim,

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Procrastination in Online Exams: What Data Analytics Can Tell Us? Yair Levy, Ph.D. Graduate School of Computer and Information Sciences Michelle M. Ramim, Ph.D. Huizenga School of Business and Entrepreneurship

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, “Procrastination is the art of keeping up with yesterday.” ~Don Marquis (journalist/author – NYC)

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Introduction Procrastination – Voluntary postponing an activity to the last possible minute ( Gafni & Geri, 2010) Ancient societies viewed procrastination in positive terms: Avoid unnecessary work Reduce impulsive behaviors Information Systems (IS) produce huge data sets of all task logs E-learning Systems produce massive data sets

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, What Can Be Learned From Data Sets? Business Intelligence (BI) or Business Analytics (BA) Data analytics is an emerging technique that dives into a data set without prior set of hypotheses The data derive meaningful trends or intriguing findings that were not previously seen or empirically validated (Leventhal, 2010). Data analytics enables quick decisions or help change policies due to trends observed

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Data Analytics Accumulation of raw data captured from various sources (i.e. discussion boards, s, exam logs, chat logs in e-learning systems) can be used to identify fruitful patterns and relationships (Bose, 2009) Exploratory visualization – uses exploratory data analytics by capturing relationships that are perhaps unknown or at least less formally formulated Confirmatory visualization - theory-driven

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, The Power of Data Analytics Source:

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Data Analytics vs. Statistical Analysis Statistical Analysis Utilizes statistical and/or mathematical techniques Used based on theoretical foundation Seeks to identify a significant level to address hypotheses or RQs Data Analytics Utilizes data mining techniques Identifies inexplicable or novel relationships/trends Seeks to visualize the data to allow the observation of relationships/trends

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Research Goals To uncover trends using data analytics about procrastination in online exams To examine a data set related to procrastination in online exams for trends in terms of: Task completion time Task completion scores Gender Academic level as time progress during the submission window To understand how to improve online exams performance, time-learning strategies, and overall learning experience.

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Methodology The unit of analysis for this study is the task completed (i.e. an online exam) A data set of 1,629 online exam records Compiled from 10 courses distributed over five terms ~35 students/course Six online exams/term

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Data Extracted Two main time related measures were extracted: task completion window (Monday 12am to Sunday 12pm) task completion time Procrastination was measured based on the proximity to due time (in hr:min:sec) The task completion time is the time that it took to complete the online exam (in min:sec) Used SPSS 19, Excel 2011, and Google Visualization (Motion Chart Gadget: interactive/docs/gallery/motionchart.html )

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Procrastination (Day) based on Morningness-Eveningness

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Procrastination (Day) based on Morningness-Eveningness and Gender

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Data Visualization with Google Motion Chart – Sunday (n=955)

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Data Visualization with Google Motion Chart – Sunday (n=955)

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Data Visualization with (Gender) Google Motion Chart – Sunday (n=955)

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Data Visualization with (Gender) Google Motion Chart – Sunday (n=955)

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Descriptive Statistics and Demographics (N=1,629)

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Scores per Gender

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Procrastination per Gender

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Task Completion Time per Gender

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Procrastination (hrs) and Scores

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Procrastination (hrs) and Scores

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Procrastination (hrs) and Scores

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Data Analytics

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Summary of Findings Our data analytics showed that: Over 58% procrastinated to the last day About 40% procrastinated to the last 12 hours Significantly* more younger students procrastinate Percentage-wise, more females procrastinated Enormous demand is placed on females (i.e. working mothers, balance work during the weekdays and family obligations during the weekends) * p<0.001

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Data Analytics is Here to Stay! Source: The Wall Street Journal

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Data Analytics is Here to Stay! Source: GapMinder.org

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Source: The Wall Street Journal

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Bottom Line! Procrastination during the week doesn’t pay off!

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Thank you! Comments and feedback are welcome!

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Contact Information - Yair Yair Levy, Ph.D. Associate Professor of Information Systems Nova Southeastern University Graduate School of Computer and Information Sciences The DeSantis Building - Room College Avenue Fort Lauderdale, FL Tel.: Fax: Site:

 Dr. Yair Levy and Dr. Michelle M. Ramim – Chais 2012 Conference, February 16, Contact Information - Michelle Michelle M. Ramim, Ph.D. Part-time Professor Nova Southeastern University Huizenga School of Business and Entrepreneurship The DeSantis Building 3301 College Avenue Ft. Lauderdale, FL Site: