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This is a presentation at ASEE2012, San Antonio, Texas. Mining Twitter data to understand engineering students learning experiences. This presentation contains the qualitative research part. An updated version of this project with large-scale data mining (using classification and detection algorithm to identify potentially at-risk students) is published in this paper. http://web.ics.purdue.edu/~chen654/pub/XinChen_etal_IEEETrans_tlt-cs_Mining_Twitter.pdf
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Exploring Engineering Students’ College Experiences Using Social Media Monitoring Tool Radian6
Xin Chen, Mihaela Vorvoreanu Ph.D, Krishna Madhavan Ph.DPurdue University
{chen654, mihaela, cm}@purdue.edu
The story begins with:
The story begins with:
Social Media Proliferation
The story begins with:
Social Media Proliferation
The story begins with:
Social Media Proliferation
Data Deluge
The story begins with:
Image: http://www.psfk.com/2011/01/building-digital-libraries-to-contain-the-data-deluge.html
Social Media Proliferation
What insights do we gain from user generated data?
What insights do we gain from user generated data?
Brand Monitoring
What insights do we gain from user generated data?
Brand Monitoring
What insights do we gain from user generated data?
Brand Monitoring
What insights do we gain from user generated data?
Brand Monitoring
Brand Monitoring
What insights do we gain from user generated data?
Brand Monitoring
Event Monitoring
What insights do we gain from user generated data?
Brand Monitoring
Event Monitoring
What insights do we gain from user generated data?
Brand Monitoring
Event Monitoring
Disaster Responses
What insights do we gain from user generated data?
Brand Monitoring
Event Monitoring
Disaster Responses
What insights do we gain from user generated data?
Brand Monitoring
Event Monitoring
Disaster Responses
Network Analysis
What insights do we gain from user generated data?
How does higher education use social media data?
How does higher education use social media data?
The State of Web and Social Media Analytics in Higher Ed, Survey by Higher Ed Experts, July 2011
How does higher education use social media data?
The State of Web and Social Media Analytics in Higher Ed, Survey by Higher Ed Experts, July 2011
How does higher education use social media data?
The State of Web and Social Media Analytics in Higher Ed, Survey by Higher Ed Experts, July 2011
How does higher education use social media data?
The State of Web and Social Media Analytics in Higher Ed, Survey by Higher Ed Experts, July 2011
Mostly Number Counting, No Content Analysis
How does higher education use social media data?
The State of Web and Social Media Analytics in Higher Ed, Survey by Higher Ed Experts, July 2011
How does higher education use social media data?
The State of Web and Social Media Analytics in Higher Ed, Survey by Higher Ed Experts, July 2011
How does higher education use social media data?
The State of Web and Social Media Analytics in Higher Ed, Survey by Higher Ed Experts, July 2011
Mostly for Marketing, Not Directly Related to Current Students
Methods
Collect web content relevant to engineering students to understand their college experiences
Strategy
Methods
Collect web content relevant to engineering students to understand their college experiences
Strategy
Relevant vocabulary is undefined; time span is undefined.
Challenge
Methods
Iterative process of defining keywords combination for data retrieval using Radian6
Methods
Iterative process of defining keywords combination for data retrieval using Radian6
Oct. 31st -- Nov. 30th, 2011Keywords combination: 116 tweets#engineeringProblems: 667 tweets
Methods
Iterative process of defining keywords combination for data retrieval using Radian6
Oct. 31st -- Nov. 30th, 2011Keywords combination: 116 tweets#engineeringProblems: 667 tweets
Two stages of content analysis
Methods
Results
1 Sacrifice and Negative Feelings
3 Gender and Other Minorities
4 Engineer Stereotypes and Identity Formation
2 Issues with Classes, Professors, Homework, and Exams
The results: 4 major themes
1 Sacrifice and Negative Feelings
The results: 4 major themes
1 Sacrifice and Negative Feelings
“Which one of does not belong: coloring eggs, hunting for eggs, new dog, time with my mommy, Easter feast, studying?”
The results: 4 major themes
1 Sacrifice and Negative Feelings
“Which one of does not belong: coloring eggs, hunting for eggs, new dog, time with my mommy, Easter feast, studying?”
“I’ve got 482 followers! That’s 480 more friends than I have in real life! Thanks for being there for me mom and dad!”
The results: 4 major themes
1 Sacrifice and Negative Feelings
“Which one of does not belong: coloring eggs, hunting for eggs, new dog, time with my mommy, Easter feast, studying?”
“I’ve got 482 followers! That’s 480 more friends than I have in real life! Thanks for being there for me mom and dad!”
“Is it bad that before I started studying for my tests today that I considered throwing myself in front of a moving car??”
The results: 4 major themes
2 Issues with Classes, Professors, Homework, and Exams
The results: 4 major themes
“Learning more from a hick on YouTube than from my professor.”
2 Issues with Classes, Professors, Homework, and Exams
The results: 4 major themes
“Learning more from a hick on YouTube than from my professor.”
“I’ve never been so happy to make a 50 on a test! Beat the class average by over 20 points.”
2 Issues with Classes, Professors, Homework, and Exams
The results: 4 major themes
“Learning more from a hick on YouTube than from my professor.”
“I’ve never been so happy to make a 50 on a test! Beat the class average by over 20 points.”
“Would it kill him to just put one problem on the test that we’ve actually seen before?”
2 Issues with Classes, Professors, Homework, and Exams
The results: 4 major themes
3 Gender and Other Minorities Issues
The results: 4 major themes
“Finally talked to a girl today!!! ...It was Siri.”
3 Gender and Other Minorities Issues
The results: 4 major themes
“Trying to find a girls bathroom in an engineering building”
“Finally talked to a girl today!!! ...It was Siri.”
3 Gender and Other Minorities Issues
The results: 4 major themes
“Trying to find a girls bathroom in an engineering building”
“Finally talked to a girl today!!! ...It was Siri.”
3 Gender and Other Minorities Issues
“85 kids leaving the classroom before mine…of those 85 four are girls. Engineers math class #Stereotypical”
The results: 4 major themes
“Trying to find a girls bathroom in an engineering building”
“Finally talked to a girl today!!! ...It was Siri.”
3 Gender and Other Minorities Issues
“I get a B- on my public speech because I talked about The National Society Of Black Engineers.”
“85 kids leaving the classroom before mine…of those 85 four are girls. Engineers math class #Stereotypical”
The results: 4 major themes
4 Engineer Stereotypes and Identity Formation
The results: 4 major themes
4 Engineer Stereotypes and Identity Formation
“I am f***ing studying engineering but who am I really? A nerd!!! Dawg a nerd! No one looks at engineers as special alight! Read that!”
The results: 4 major themes
4 Engineer Stereotypes and Identity Formation
“I am f***ing studying engineering but who am I really? A nerd!!! Dawg a nerd! No one looks at engineers as special alight! Read that!”
“Professor just called us nerds. Every room I go in it smells like nerd...strong.”
The results: 4 major themes
4 Engineer Stereotypes and Identity Formation
“I am f***ing studying engineering but who am I really? A nerd!!! Dawg a nerd! No one looks at engineers as special alight! Read that!”
“Professor just called us nerds. Every room I go in it smells like nerd...strong.”
“I hate having class in the Engineering building. Engineers don’t shower”
Implications and Future works
Implications and Future works
1 Research and Policy Implications
Implications and Future works
1 Research and Policy Implications
2 Social Support, Community Building
Implications and Future works
1 Research and Policy Implications
2 Social Support, Community Building
3 Social Media Analytics Tool for Education
Are these Twitter users building a community?
Partial #engineeringProblems Network based on Mentions, Replies, and Follows
Questions ?
Xin Chen, Mihaela Vorvoreanu Ph.D, Krishna Madhavan Ph.DPurdue University
{chen654, mihaela, cm}@purdue.edu
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