iSchool Remote Lab Usage Business Case Remote Lab Introduction Design Process Lessons Learned Key Insight & Factoids Sunday Monday Tuesday Wednesday Thursday Friday Saturday FALL SPRING FALL SPRING FALL SPRING FALL SPRING FALL SPRING FALL SPRING FALL SPRING 0 150 300 450 600 750 900 1050 1200 1350 0 2 4 6 8 10 12 14 16 18 20 22 0 50 100 150 200 250 300 350 400 450 500 550 GPA 0 0.5 1 1.5 2 2.5 3 3.5 4 Jun 15, 14 Jul 27, 14 Sep 7, 14 Oct 19, 14 Nov 30, 14 Jan 11, 15 Feb 22, 15 Apr 5, 15 0 100 200 300 400 500 600 Spring Break Dip Winter Break Thanksgiving Break Summer Vacation Is Weekday Yes No N Y Am Pm AM PM FALL-SPRING FALL SPRING iSchool Remote lab allows students and instructors the ability to remote desktop into an iSchool lab machine. Users have access to all the same software and resources as in physical computer lab, using both Windows or Mac. There are 35 machines in the IST pool reserved for students and 8 machines under Test pool for instructors and falcuties. - Leverage information as an asset - Increase return on investment by �inding the least busiest time or day for system maintainance - Analyze remote lab resources and usage distribution - Analyze student demographics and behaviors - Make better business decisions for optimizing the use of remotelab computers Remote lab activity for 2014-15 The line graph shows the trend of number of students using remote lab during Fall 2014 and Spring 2015 based on weekday and weekend. The usage of remote lab has a sig- ni�icant drop during summer vacation, winter break and spring break, which is the best time to maintain and up- grade the remote lab system. - Starting small to achieve early success. Begun with multiple complex model and restricted to basic model - Clear roadmap with data mappings and metadata management - A way to model factless fact table as a additive fact - Identi�ied suitable time period for system maintenance, based on weekday/weekend/month usage across 1 year - Peak activities during the day, for ef�icient allocation of machines - Identi�ied usage trend across 24 hours based on Student GPA - Obtained better insights about the student demographics, like gender, citizenship, academic career, etc - Observe the peak system activities using bubble chart 695 874 984 897 1,212 1,105 1,643 IST-LD-RLAB-H04 1,028 1,919 IST-LD-RLAB-H02 2,163 IST-LD-RLAB-H01 Computer Name IST-LD-RLAB-H01 IST-LD-RLAB-H02 IST-LD-RLAB-H03 IST-LD-RLAB-H04 IST-LD-RLAB-H05 IST-LD-RLAB-H06 IST-LD-RLAB-H07 IST-LD-RLAB-H08 IST-LD-RLAB-H09 IST-LD-RLAB-H10 User Demographics 65% Citizen 56% Male 54% Male Grad Login Count Login Count Login Count Group E : Ha Nguyen, Dongping Zhang, Mahin, Prabhukrishna, Pratik Agrawal Professor: Michael Fudge Jr. | IST - 722 Data Warehouse | Spring 2015 Remote lab weekly activity The bar plot shows remote lab usage during a week of Fall 2014 and Spring 2015. It shows students are not willing to use remote lab during weekend for both spring and fall semester. Besides, compared to morning, students are more willing to use remote lab in the af- ternoon. Remote lab usage by Time & GPA The line graph shows the usage trend across 24 hours based on students’ GPA. The trends of all the GPA scores is similar, activity linearly increasing to- wards the evening and dipping after mid-night. Also students having GPA 3.5 access remote lab more than other GPA scores. Remote lab usage by Computers The bubble chart shows the peak system activities during Fall 2014 and Spring 2015 grouped by computer names. This indicates IST-LD-RLAB-H01 have been used more than other systems. iSchool can employ better allocation strategy to balance system usage among all the systems in order to avoid over-use Source: iSchool Remote Lab
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iSchool Remote Lab Usage
Business Case
Remote Lab Introduction
Design Process
Lessons Learned
Key Insight & Factoids
Sunday Monday Tuesday Wednesday Thursday Friday Saturday
FALL SPRING FALL SPRING FALL SPRING FALL SPRING FALL SPRING FALL SPRING FALL SPRING0
150
300
450
600
750
900
1050
1200
1350
0 2 4 6 8 10 12 14 16 18 20 22
0
50
100
150
200
250
300
350
400
450
500
550 GPA 00.511.522.533.54
Jun 15, 14 Jul 27, 14 Sep 7, 14 Oct 19, 14 Nov 30, 14 Jan 11, 15 Feb 22, 15 Apr 5, 15
0
100
200
300
400
500
600Spring Break
Dip
Winter Break
ThanksgivingBreak
Summer Vacation
Is Weekday Yes NoNY
Am PmAMPM
FALL-SPRINGFALLSPRING
iSchool Remote lab allows students and instructors the ability to remote desktop into an iSchool lab machine. Users have access to all the same software and resources as in physical computer lab, using both Windows or Mac.There are 35 machines in the IST pool reserved for students and 8 machines under Test pool for instructors and falcuties.
- Leverage information as an asset- Increase return on investment by �inding the least busiest time or day for system maintainance - Analyze remote lab resources and usage distribution - Analyze student demographics and behaviors - Make better business decisions for optimizing the use of remotelab computers
Remote lab activity for 2014-15
The line graph shows the trend of number of students using remote lab during Fall 2014 and Spring 2015 based on weekday and weekend. The usage of remote lab has a sig-ni�icant drop during summer vacation, winter break and spring break, which is the best time to maintain and up-grade the remote lab system.
- Starting small to achieve early success. Begun with multiple complex model and restricted to basic model- Clear roadmap with data mappings and metadata management - A way to model factless fact table as a additive fact
- Identi�ied suitable time period for system maintenance, based on weekday/weekend/month usage across 1 year- Peak activities during the day, for ef�icient allocation of machines- Identi�ied usage trend across 24 hours based on Student GPA- Obtained better insights about the student demographics, like gender, citizenship, academic career, etc- Observe the peak system activities using bubble chart
695
874984
897
1,212
1,1051,643
IST-LD-RLAB-H04
1,028
1,919IST-LD-RLAB-H02
2,163IST-LD-RLAB-H01
Computer NameIST-LD-RLAB-H01
IST-LD-RLAB-H02
IST-LD-RLAB-H03
IST-LD-RLAB-H04
IST-LD-RLAB-H05
IST-LD-RLAB-H06
IST-LD-RLAB-H07
IST-LD-RLAB-H08
IST-LD-RLAB-H09
IST-LD-RLAB-H10User Demographics
65%Citizen56%
Male
54% Male
Grad
Login Count
Login Count
Login Count
Group E : Ha Nguyen, Dongping Zhang, Mahin, Prabhukrishna, Pratik AgrawalProfessor: Michael Fudge Jr. | IST - 722 Data Warehouse | Spring 2015
Remote lab weekly activity
The bar plot shows remote lab usage during a week of Fall 2014 and Spring 2015. It shows students are not willing to use remote lab during weekend for both spring and fall semester. Besides, compared to morning, students are more willing to use remote lab in the af-ternoon.
Remote lab usage by Time & GPA
The line graph shows the usage trend across 24 hours based on students’ GPA. The trends of all the GPA scores is similar, activity linearly increasing to-wards the evening and dipping after mid-night. Also students having GPA 3.5 access remote lab more than other GPA scores.
Remote lab usage by Computers
The bubble chart shows the peak system activities during Fall 2014 and Spring 2015 grouped by computer names. This indicates IST-LD-RLAB-H01 have been used more than other systems. iSchool can employ better allocation strategy to balance system usage among all the systems in order to avoid over-use
Source: iSchool Remote Lab