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ENGL 347 — WORLD LITERATURES

CIM Verified
1
Objectives
10
Matches
0
Reviewed
12
Occupations
Your experience with this course
Top occupation matches for this course
49.7% Interpreters and Translators 6t
34.6% News Analysts, Reporters, and Journ 5t
39.0% Technical Writers 3t
33.8% Word Processors and Typists 2t
39.9% Switchboard Operators, Including An 2t

Learning Objectives & Matches

LO3 CIM

2) consider texts in context

10 O*NET task matches
Batch:
Interpreters and Translators 4.2/5
50% ok

Compile information on content and context of information to be translated and on intended audience.

Proofreaders and Copy Markers 4.3/5
45% ok

Consult reference books or secure aid of readers to check references with rules of grammar and composition.

Poets, Lyricists and Creative 4.5/5
42% ok

Choose subject matter and suitable form to express personal feelings and experiences or ideas, or to narrate stories or events.

Interpreters and Translators 4.5/5
40% ok

Listen to speakers' statements to determine meanings and to prepare translations, using electronic listening systems as necessary.

Switchboard Operators, Includi 4.5/5
40% ok

Record messages, suggesting rewording for clarity or conciseness.

Correspondence Clerks 4.0/5
40% ok

Read incoming correspondence to ascertain nature of writers' concerns and to determine disposition of correspondence.

Interpreters and Translators 4.7/5
40% ok

Translate messages simultaneously or consecutively into specified languages, orally or by using hand signs, maintaining message content, context, and style as much as possible.

Technical Writers 4.7/5
39% ok

Organize material and complete writing assignment according to set standards regarding order, clarity, conciseness, style, and terminology.

Radio Frequency Identification 3.8/5
38% ok

Test tags or labels to ensure readability.

Technical Writers 3.8/5
37% ok

Arrange for typing, duplication, and distribution of material.

Source: Course learning outcomes from EWU's official Course Inventory Management (CIM) system. O*NET task matches are computed by comparing each learning outcome statement against every O*NET task statement using sentence-embedding similarity; faculty review confirms which matches count as preparation evidence.