DDL favors higher-level learners and poses challenges of query analysis, intensive training, and corpus access¶

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Documented DDL challenges include difficulty of corpus query analysis, need for intensive training, difficulty of access to corpus search engines, and an advantage for higher-level over lower-level learners. → Rasikawati 2019

Evidence¶

Rasikawati 2019¶

Ira Rasikawati (2019). Corpus-Based Data-Driven Learning to Augment L2 Students’ Vocabulary Repertoire. International Dialogues on Education, 6(2), 83-98. https://eric.ed.gov/?id=EJ1245249

q2 · i? · review · r2

The article synthesizes challenges reported across studies (Liu & Lei 2017; Boulton 2009; others): difficulty of corpus query analysis, need for intensive training, paucity/difficulty of access to search engines, and that DDL "seems to favor more the higher-level learners than the lower ones" because complex authentic data demand analytical and linguistic skills.

"The DDL approach also seems to favor more the higher -level learners than the lower ones ( Liu & Lei, 2017; Boulton, 2009) as sufficient analytical and linguistic skills are necessary to cope with the complexity of the authentic data presented in the corpus query results"

Discussion¶

Related Claims¶

• Sufficient training time led to better vocabulary acquisition results in DDL programs for secondary students — a narrower finding that bears on this claim
• Corpus-based collocation findings align with prior concordancing and data-driven learning studies — related
• Corpus-based DDL shows large effects on L2 learning outcomes in meta-analytic evidence — related