Midterm Assessment

Date: Monday, March 9, 2026 · In class

15:15–15:20 Announcements

15:20–16:00 Midterm assessment (40 minutes)

16:00–16:10 Break

16:10–17:00 Discussion: the rest of the term

You have 40 minutes to complete both parts. The clock starts at 15:20.

Part 1: Concepts Quiz (10–15 min)

Complete the online multiple-choice quiz covering key concepts from Weeks 1–5: Korean morphological analysis, the preprocessing pipeline, Bag of Words and TF-IDF, and descriptive exploration in Orange Data Mining.

Please take this on your laptop (not your phone).

Take the Quiz

10 multiple-choice questions, one per page
Work independently
Closed book, closed notes — you may not look up answers, use notes, or consult any outside resources
Do not leave the survey page until you have completed the assessment

Part 2: Preprocessing Task (20–25 min)

Download a small corpus of 15 presidential speeches that you have not worked with before. Build a complete preprocessing and visualization pipeline from scratch in Orange Data Mining.

Start a fresh Orange session. Close any existing Orange windows and do not load a previously saved workflow — build the pipeline from scratch. This is part of the assessment.

Corpus

president_speeches_assessment.csv

A small corpus of 15 presidential speeches that you have not worked with before.

What you need to do

Using Orange Data Mining, build a complete preprocessing and visualization pipeline for this corpus — from raw text to a clean Word Cloud. You should be able to do this based on what we have covered in Weeks 2–5.

Then write a short reflection (e.g., midterm_reflection.md) containing:

One research question you could investigate using this corpus and the methods we’ve learned
2–3 sentences explaining what you would expect to find and why — connect your expectation to what you know about the speeches (presidents, time periods, speech types)

What to submit

Create a midterm/ folder inside assignments/ in your repository containing:

File	Description
`president_speeches_assessment.csv`	The corpus data file
workflow file (`.ows`)	Your Orange Data Mining workflow
Word Cloud screenshot (`.png`)	Screenshot of your Word Cloud output
reflection file (`.md`)	Your research question and expected findings

Steps:

Add all four files to the midterm/ folder
In GitHub Desktop: write a short commit message (e.g., “Add midterm assessment”)
Click Commit to main, then Push origin
Confirm your files appear on github.com in your repository
Mark your completion on the shared Google Sheet in the Midterm column

Grading

Component	Scoring	Weight
Concepts Quiz (10 questions)	1 point each	Weighted to 8 points: (raw / 10) × 8
Preprocessing Task	0, 1, or 2 points (see rubric)	2 points
Total		out of 10

Preprocessing task rubric:

Score	Criteria
0	Did not preprocess, or did not follow directions (e.g., loaded a previous workflow)
1	Attempted but incomplete — missing steps, pipeline errors, or output not clean
2	Successful end-to-end preprocessing with clean Word Cloud output and thoughtful reflection