L2 English Learner Errors and Grammar Checker Feedback for Spanish University Students

Fifty texts written by Spanish university students at the B1 English proficiency level form the basis for evaluating 11 online grammar checkers. Research by Silvia Sánchez Calderón and Aurelia Carranza Márquez at UNED compares the detection and correction of grammatical errors across two textual genres: informal emails and website articles. The dataset results from a teaching innovation project focused on open-access self-correction tools.

Use Cases

• Benchmarking grammar checker performance based on a corpus of learner errors.
• Analyzing genre-specific error patterns in L2 English writing based on the informal email and website article texts.
• Investigating pedagogical support for autonomous language development based on the comparative feedback from the evaluated tools.

Strengths

• Corpus consists of 50 learner-generated texts across two distinct genres.
• Evaluation covers 11 specific, named online grammar checkers (e.g., Grammarly, LanguageTool).
• Focus on a defined learner population: Spanish university students at the B1 proficiency level.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.
• Data may reflect geographic and proficiency-level bias inherent to the specific learner population.

Provenance

Source

Research by Silvia Sánchez Calderón and Aurelia Carranza Márquez at the National University of Distance Education (UNED).

Collection Method

Analysis of a learner corpus submitted to multiple online grammar-checking tools.

Time Range

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Freshness

Last updated 2026-04-21 17:58:49; freshness should be verified.

Geography

Likely Spain, based on the learner population of Spanish university students.