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A Real-World CS1 Java Assignment
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Twitter - Additional Files Updated Twitter4j jar files Mar 11, 2019
Twitter - Students
README.md Updated Twitter assignment description Mar 11, 2019

README.md

cs1-twitter

Overview

In this assignment, students have the opportunity to connect their Java programs in their favorite IDE to Twitter to determine some interesting information about the Twitter feeds of their choice.

Assignment Materials

Meta Information

Summary

The Twitter assignment teaches students how to connect their Java programs to a realtime data stream using a freely available API. They have to apply what they've learned about string manipulation, sorting, ArrayLists, and finding the maximum value in a collection of items in order to achieve the goal of determining a Twitter user's most common non-common word they've tweeted in their last 2,000 tweets. Aside from practicing the concepts mentioned above, I think the most signifcant outcome of this assignment is that beginning CS students have written a program to interact with other real-world programs, like Twitter. Once they see how little code is needed to connect a program they create to a program like Twitter, my hope is that they will be empowered to explore other data sources without thinking that is out of reach.

Topics

Topics covered include string manipulation, ArrayLists, sorting, finding maximum value, method decomposition, understanding existing code, working with an unfamiliar API, and file I/O.

Audience

CS1, early CS2

Difficulty

Medium level of difficulty. Part I can be completed in under 30 minutes, suggest giving as a homework assignment. Part II can take students anywhere from 1-2 hours. Part III should be quick with students being able to complete in under an hour. Part IV can be done as an extension, in pairs, or for extra credit and will probably take students between 1-2 hours.

Strengths

  • High level of engagement
  • Integration of many CS1 principles
  • Real world relevance => task for an intern => research tweets for a company

Weaknesses

  • There are 13 steps the students have to work through in order to verify that their program is linked to their Twitter account, providing several opportunities for students to misread or skip an important direction. Since the main point of the assignment does not deal with getting Twitter up and running, I try to provide as much support as needed to get the students to the programming part as quickly as possible.
  • Many high schools do not permit teachers to require students to make social media accounts outside the ones provided or supported by the school district. If a student does not want to make their own Twitter account, I provide a flat file of tweets from a public Twitter feed they choose which they can use as an input file. Students are still working with real Twitter data and are able to benefit from the assignment like their peers.
  • Twitter might be blocked on student workstations. If so, I tell the students they can either work on the assignment at home or they can use the flat file that I described above.
  • Even if students have written their output to a file before, some students find toggling between sending output to the screen or a file challenging.

Dependencies

The assignment is written for Java, depends on Internet access (unless you choose to use a flat file of tweets), and requires the setting of a classpath to include the required jar file.

Variants

In Parts II and III, students are asked to determine the most frequent non-common word that a person has tweeted in their last 2,000 tweets. While Part II-III is the main part of the assignment, Part IV is really where the gold is. In Part IV, students are asked to devise their own query to investigate something they find interesting using Twitter feeds. They are to examine the Twitter 4J API to see what methods are available to them and then program their own query. Examples include, but most definitely are not limited to:

  • Filter your home timeline (these are all the tweets from people you follow) to avoid a particular term. For instance, if you are an Android fan, you could filter out all tweets with Apple in them.
  • Count the number of tweets originating from your zip code that contain the word “flu" during a particular timeframe to see if a flu outbreak is happening in your area.
  • Send tweets every 10 minutes to your friend on his/her birthday. Use a timer.
  • Search for tweets in your zip code on a particular Sunday to count how many tweets there are containing the names of NFL teams to see which teams are most popular with residents in your zip code.

Contact

Ria Galanos
Thomas Jefferson High School for Science and Technology
ria.galanos [at] gmail

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