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SPANISH FOREIGN LANGUAGE CLASSROOM. Bilingualism & Biculturalism in the. Developing metalinguistic awareness and knowledge. CLASS ACTIVITIES. Flipped Classroom & Produce-Assess-Discuss. Flipped-classroom model. Pre-Class Grammar Tutorial: Por vs. Para. - PowerPoint PPT Presentation
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Bilingualism & Biculturalism in the
Developing metalinguistic awareness and knowledge
SPANISH FOREIGN LANGUAGE CLASSROOM
CLASS ACTIVITIESFlipped Classroom & Produce-Assess-Discuss
Flipped-classroom model
Pre-Class Grammar Tutorial: Por vs. Para
Class Activity Using SpinTX Video Corpus
Produce
Analyze
Discuss
SA & MM
SA MM
Age, Sex 22, F 23, M
Birthplace Houston, TX Eagle Pass, TXSelf-rated
proficiency (0-4)
4 3.5
Spanish at home(0-4) 3 1
Years spent in Spanish-speaking country
outside USYes, unspecified. 0
Pre-object/Post-object 3/1 1/3
Resolving differences
Resolving differences
Resolving differences
“I am sure I know about it but can’t describe it well.”
“They can go anywhere.”
“Better when placed directly after the verb.”
“Hmm...not much :( I guess I just have an “instinct” about where they go.”“They are weird.”
“They go next to verbs or complement the verbs, usually end in -mente but “ayer” is one too.”
Developing metalinguistics
MA & CH
CH MA
Age, Sex 28, F 21, FBirthplace Monterrey, MX San Diego, CASelf-rated
proficiency (0-4)
4 3.75
Spanish at home(0-4) 4 3
Years spent in Spanish-speaking country
outside US10 0.10
Pre-object/Post-object 4/0 1/3
resolving differences
Developing metalinguistics
Comparing to corpus
Adverb Tokens Pre-object
Post-object
cuidadosamente 6 2 4
fácilmente 4 1 3rápidament
e 6 2 4
suavemente 6 0 6bien 12 9 3mal 11 5 6
demasiado 11 2 9un
poco/poco 10/3 3/3 7/0
mucho 11 7 4menos 12 9 3
Adverb Tokens Pre-object
Post-object
cuidadosamente 29 29 1
fácilmente 10 9 1rápidamente 13 10 3suavemente 15 11 4
bien 3 3 0mal 6 6 0
demasiado 4 4 0un poco 6 6 0mucho 8 8 0menos 1 1 0
Corpus ResultsLearner Results
Quantity & Manner Pre-object Post-
object TotalLearner Results
43 (47.25%)
48 (52.75%) 91
Corpus Results
86 (90.52%) 9 (9.48%) 95Fisher’s exact test: The difference between learner and corpus results is statistically significant (p < .0001).
Exploring trends
HLL X W Pre-object Post-object Total
HEAVY 4 (22.22%) 14 (77.78%) 18
LIGHT 10 (71.43%) 4 (28.57%) 14
p = .011
