Helping MLs: Sequence Types in Conversation Lessons

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# A tibble: 36 × 2
   seq.type                  n
   <chr>                 <int>
 1 scaffolding             517
 2 eliciting               189
 3 enquiry                 161
 4 repair                  149
 5 topic development        82
 6 topic opening            73
 7 exercise                 72
 8 scaffolding,eliciting    59
 9 opening                  39
10 presentation             38
# ℹ 26 more rows
# A tibble: 4 × 2
  seq.type         n
  <chr>        <int>
1 scaffolding    517
2 eliciting      189
3 repair         149
4 presentation    38

k

##Results

#graph
ggplot(proficiency_seq_type_counts, aes(x = reorder(seq.type, -n), y = n)) +
  geom_col() +
  geom_text(aes(label = n),
            hjust = -0.5) +
  facet_wrap(~student.cefr.level.y) + coord_flip() + labs(title = "Sequence Types with MLs", x = "Sequence Type", y = "Counts")