Literaturnachweis - Detailanzeige
| Autor/in | Olney, Andrew M. |
|---|---|
| Titel | Sentence Selection for Cloze Item Creation: A Standardized Task and Preliminary Results [Konferenzbericht] Paper presented at International Conference on Educational Data Mining (14th, 2021). |
| Quelle | (2021), (5 Seiten)
PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) |
| Zusatzinformation | Weitere Informationen |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Monographie |
| Schlagwörter | Sentences; Selection; Cloze Procedure; Heuristics; Documentation; Models; Task Analysis; Student Evaluation; Scores; Recall (Psychology) |
| Abstract | Cloze items are commonly used for both assessing learning and as a learning activity. This paper investigates the selection of sentences for cloze item creation by comparing methods ranging from simple heuristics to deep learning summarization models. An evaluation using human-generated cloze items from three different science texts indicates that simple heuristics substantially outperform summarization models, including state-of-the-art deep learning models. These results suggest that sentence selection for cloze item generation should be considered a distinct task from summarization and that continued advances on this task will require large datasets of human-generated cloze items. [This paper was published in: "Joint Proceedings of the Workshops at the 14th International Conference on Educational Data Mining," Vol. 3051, LDI-6, edited by T. W. Price and S. San Pedro, CEUR-WS.org, 2021.] (As Provided). |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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