Abdelhamid, S., & Aly, M., & Katz, A. (2020, July), Harvesting tweets for a better understanding of Engineering Students' First-Year Experiences   Paper presented at 2020 First-Year Engineering Experience, East Lansing, Michigan. 10.18260/1-2--35771

\bibitem{asee_peer_35771}
  Abdelhamid, S., \& Aly, M., \& Katz, A. (2020, July), \emph{Harvesting tweets for a better understanding of Engineering Students' First-Year Experiences }
  Paper presented at 2020 First-Year Engineering Experience, East Lansing, Michigan.
  10.18260/1-2--35771

Sherif Abdelhamid, Mona Aly, and Andrew Katz.  "Harvesting tweets for a better understanding of Engineering Students' First-Year Experiences ".  2020 First-Year Engineering Experience, East Lansing, Michigan, 2020, July.  ASEE Conferences, 2020.  https://peer.asee.org/35771 Internet.  19 Apr, 2024

\bibitem{asee_peer_35771}
  Sherif Abdelhamid, Mona Aly, and Andrew Katz.
  "Harvesting tweets for a better understanding of Engineering Students' First-Year Experiences ".
  \emph{2020 First-Year Engineering Experience, East Lansing, Michigan, 2020, July}.
  ASEE Conferences, 2020.
  https://peer.asee.org/35771 Internet.  19 Apr, 2024

@INPROCEEDINGS{asee_peer_35771
author = "Sherif Abdelhamid, Mona Aly, and Andrew Katz"
title = "Harvesting tweets for a better understanding of Engineering Students' First-Year Experiences "
booktitle = "2020 First-Year Engineering Experience"
year = "2020"
month = "July"
address = "East Lansing, Michigan"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/35771}
number = {10.18260/1-2--35771}
}

TY  - CPAPER
AB  - Twitter, a popular social networking and microblogging platform, harvests and stores large amounts of data about myriad topics through millions of short messages (tweets). Among this array of topics, some tweets can contain valuable information related to engineering education and first-year engineering experiences. Unfortunately, despite the existence of such related tweets, the engineering education community writ large typically does not have adequate background and statistics on their number and content in order to glean information from this corpus of tweets. In general, data from tweets can be very useful for both qualitative and quantitative studies focusing on first-year engineering experiences. By incorporating data collected from Twitter, we can have the opportunity to discover interesting patterns and themes.
In this paper, we report on the results of a study in which we collected and analyzed tweets related to engineering education and first-year engineering experiences. Additionally, we present the implemented pipeline used in our study. The pipeline uses the Twitter application programming interface (API) to pull tweets that contain specific key terms related to our topic of interest and then extracts the tweet content along with other metadata before storing the information in a central online database. Researchers can have access to a web-based interface where they can use the harvested tweets in their studies and get the latest tweets and news feeds.
AU  - Sherif Abdelhamid
AU  - Mona Aly
AU  - Andrew Katz
CY  - East Lansing, Michigan
DA  - 2020/07/26
PB  - ASEE Conferences
TI  - Harvesting tweets for a better understanding of Engineering Students' First-Year Experiences 
UR  - https://peer.asee.org/35771
DO  - 10.18260/1-2--35771
ER  -