# ENGL 320: Linguistic Theory and Child Language | UW–Madison [View on UW Courses](https://uwcourses.com/courses/ENGL_320) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id e5fec646e9502b5a1b5c1ee14380e1fd6e599e610614bdbf42716fa99c64787f ### course id ENGL 320 ### course uid course\_bb91f158379d1efa9e3e777e ### catalog version id 7d1e49c61cb02bdfca8f7f89a3ec232d505d93cee8d3f17d1ffd20e1bb43e97a ### course number 320 ### subjects * ENGL ### title LINGUISTIC THEORY AND CHILD LANGUAGE ### description An introduction to the linguistic study of child language within the generative theory. According to this theory, humans are born with genetically determined linguistic knowledge called Universal Grammar, which guides children in learning language. Learn the basic concepts of the generative theory and learn to apply them to the study of child language. Topics include universal linguistic principles that govern children's acquisition of syntax and semantics and cross-linguistic influence in children acquiring more than one language from birth or early childhood. Discuss empirical research studies testing the Universal Grammar theory of language acquisition. ### requirements text Sophomore standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id fff36a5daf3c5491a341de8cde6b900d84e66a73976462b2718326072f5e5d9c ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary ENGL 320 introduces the linguistic study of child language through the lens of generative theory and Universal Grammar. ### llm topics * Principles of syntax and semantics acquisition * Cross-linguistic influence in multilingual acquisition * Universal Grammar theory ### llm skills * Apply generative theory concepts to child language study * Discuss empirical research on language acquisition ### llm assumed background None recorded. ### llm search phrases * child language acquisition * Universal Grammar * generative linguistics * syntax semantics acquisition * bilingual child development ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash cae3494fdf786634bba8f805f5d3d240c71677e840db26930b90bb6e010442ca #### course id ENGL 320 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.70 GPA, 77.8% A/AB (n=27 letter grades); Spring 2025: 3.71 GPA, 85.7% A/AB (n=28 letter grades); Spring 2026: 3.86 GPA, 93.1% A/AB (n=29 letter grades). ```json { "citations": [ { "course_id": "ENGL 320", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": 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```json [ { "children": [], "condition": "Sophomore standing", "course": null, "evidence": "Sophomore standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_b37b7ff5d5203fa6ed727633", "source": "madgrades", "source_instructor_id": "207613", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JIHYEON JACEE CHO", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.812, "graded": 823, "counts": [ 667, 65, 58, 18, 9, 5, 1 ], "sections": 60 }, "instructor_url": "/instructors/JIHYEON_JACEE_CHO--instructor_b37b7ff5d5203fa6ed727633" }, { "instructor_uid": "instructor_58383082659584117db3944a", "source": "madgrades", "source_instructor_id": "5473425", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GLENN STARR", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 3, "quality": 5, "difficulty": 2.33, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2227216", "source_url": "https://www.ratemyprofessors.com/professor/2227216", "match_basis": "exact_name", "observed_at": "2026-09-07 16:38:16.779291+00:00", "courses": { "course_8313576c9e21c86d04b7eb5e": { "review_count": 2, "quality": 5, "difficulty": 1.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.8345093769970395, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.838, "graded": 77, "counts": [ 61, 9, 5, 2, 0, 0, 0 ], "sections": 11 }, "instructor_url": "/instructors/GLENN_STARR" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENGL 320", "course_uid": "course_bb91f158379d1efa9e3e777e", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "JIHYEON JACEE CHO" ], "a": 19, "ab": 3, "b": 0, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "ENGL 320" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENGL 320", "course_uid": "course_bb91f158379d1efa9e3e777e", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "GLENN STARR" ], "a": 20, "ab": 6, "b": 1, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 30, "source_aliases": [ "ENGL 320" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENGL 320", "course_uid": "course_bb91f158379d1efa9e3e777e", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "JIHYEON JACEE CHO" ], "a": 20, "ab": 3, "b": 4, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 28, "source_aliases": [ "ENGL 320" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "ENGL 320", "course_uid": "course_bb91f158379d1efa9e3e777e", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "JIHYEON JACEE CHO" ], "a": 19, "ab": 2, "b": 4, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 27, 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0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "ENGL 320" ] } ] ``` ### statistics #### gpa 3.768 #### graded 164 #### counts * 124 * 19 * 12 * 5 * 3 * 1 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_bb91f158379d1efa9e3e777e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_bb91f158379d1efa9e3e777e-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_bb91f158379d1efa9e3e777e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_bb91f158379d1efa9e3e777e-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_bb91f158379d1efa9e3e777e-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_bb91f158379d1efa9e3e777e-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.768292682926829 #### count 164 #### university ##### size 3143 ##### gpa Percentile 50 ##### count Percentile 61 ##### median Count 119 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 10 | false | | 2.8–3.2 | 166 | false | | 3.2–3.6 | 756 | false | | 3.6–4.0 | 2211 | true | #### departments ```json [ { "subject": "ENGL", "comparison": { "size": 86, "gpaPercentile": 42, "countPercentile": 66, "medianCount": 89.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 73, "current": true } ] } } ] ``` ### terms #### 1204 ##### term 1204 ##### gpa 3.847826086956522 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | ENGL | | #### 1224 ##### term 1224 ##### gpa 3.7586206896551726 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | ENGL | | #### 1234 ##### term 1234 ##### gpa 3.732142857142857 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | ENGL | | #### 1244 ##### term 1244 ##### gpa 3.7037037037037037 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | ENGL | | #### 1254 ##### term 1254 ##### gpa 3.7142857142857144 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | ENGL | | #### 1264 ##### term 1264 ##### gpa 3.8620689655172415 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | ENGL | | ### benchmarks #### all ##### school ###### size 3143 ###### gpa 3.700510183496391 ###### top Share 84.47071099002075 ###### count 119 ##### ENGL ###### size 86 ###### gpa 3.7614784440300033 ###### top Share 89.28714567473533 ###### count 89.5 #### terms ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### ENGL ###### size 28 ###### gpa 3.8294803151197585 ###### top Share 93.52830497796533 ###### count 64.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### ENGL ###### size 24 ###### gpa 3.7197008441051067 ###### top Share 87.85122113900592 ###### count 70 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### ENGL ###### size 23 ###### gpa 3.7593715408367054 ###### top Share 89.39056679283767 ###### count 88 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### ENGL ###### size 24 ###### gpa 3.73781855294448 ###### top Share 87.96605821815201 ###### count 95.5 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### ENGL ###### size 31 ###### gpa 3.7710777439224548 ###### top Share 90.23091948326402 ###### count 76 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### ENGL ###### size 28 ###### gpa 3.796227730437554 ###### top Share 90.70314325625786 ###### count 75.5 ## instructor Trends ```json [ { "uid": "instructor_b37b7ff5d5203fa6ed727633", "name": "JIHYEON JACEE CHO", "count": 135, "terms": [ { "term": "1204", "count": 23, "sections": 1, "gpa": 3.847826086956522 }, { "term": "1234", "count": 28, "sections": 1, "gpa": 3.732142857142857 }, { "term": "1244", "count": 27, "sections": 1, "gpa": 3.7037037037037037 }, { "term": "1254", "count": 28, "sections": 1, "gpa": 3.7142857142857144 }, { "term": "1264", "count": 29, "sections": 1, "gpa": 3.8620689655172415 } ] }, { "uid": "instructor_58383082659584117db3944a", "name": "GLENN STARR", "count": 29, "terms": [ { "term": "1224", "count": 29, "sections": 1, "gpa": 3.7586206896551726 } ] } ] ``` ## following None recorded.