Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Scaling Up Learning for Sustained Impact - 8th European Conference on Technology Enhanced Learning, EC-TEL 2013, Proceedings |
| Seiten | 496-501 |
| Seitenumfang | 6 |
| Publikationsstatus | Veröffentlicht - 2013 |
| Veranstaltung | 8th European Conference on Technology Enhanced Learning, EC-TEL 2013 - Paphos, Zypern Dauer: 17 Sept. 2013 → 21 Sept. 2013 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 8095 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
Learning is a level-progressing process. In any field of study, one must master basic concepts to understand more complex ones. Thus, it is important that during the learning process learners are presented and challenged with knowledge which they are able to comprehend (not a level below, not a level too high). In this work we focus on language learners. By gradually improving (complicating) texts, readers are challenged to learn new vocabulary. To achieve such goals, in this paper we propose and evaluate the 'complicator' that translates given sentences to a chosen level of higher degree of difficulty. The 'complicator' is based on natural language processing and information retrieval approaches that perform lexical replacements. 30 native English speakers participated in a user study evaluating our methods on an expert-tailored dataset of children books. Results show that our tool can be of great utility for language learners who are willing to improve their vocabulary.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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Scaling Up Learning for Sustained Impact - 8th European Conference on Technology Enhanced Learning, EC-TEL 2013, Proceedings. 2013. S. 496-501 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 8095 LNCS).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Answering confucius
T2 - 8th European Conference on Technology Enhanced Learning, EC-TEL 2013
AU - Pereira Nunes, Bernardo
AU - Pedrosa, Stella
AU - Kawase, Ricardo
AU - Alrifai, Mohammad
AU - Marenzi, Ivana
AU - Dietze, Stefan
AU - Casanova, Marco Antonio
PY - 2013
Y1 - 2013
N2 - Learning is a level-progressing process. In any field of study, one must master basic concepts to understand more complex ones. Thus, it is important that during the learning process learners are presented and challenged with knowledge which they are able to comprehend (not a level below, not a level too high). In this work we focus on language learners. By gradually improving (complicating) texts, readers are challenged to learn new vocabulary. To achieve such goals, in this paper we propose and evaluate the 'complicator' that translates given sentences to a chosen level of higher degree of difficulty. The 'complicator' is based on natural language processing and information retrieval approaches that perform lexical replacements. 30 native English speakers participated in a user study evaluating our methods on an expert-tailored dataset of children books. Results show that our tool can be of great utility for language learners who are willing to improve their vocabulary.
AB - Learning is a level-progressing process. In any field of study, one must master basic concepts to understand more complex ones. Thus, it is important that during the learning process learners are presented and challenged with knowledge which they are able to comprehend (not a level below, not a level too high). In this work we focus on language learners. By gradually improving (complicating) texts, readers are challenged to learn new vocabulary. To achieve such goals, in this paper we propose and evaluate the 'complicator' that translates given sentences to a chosen level of higher degree of difficulty. The 'complicator' is based on natural language processing and information retrieval approaches that perform lexical replacements. 30 native English speakers participated in a user study evaluating our methods on an expert-tailored dataset of children books. Results show that our tool can be of great utility for language learners who are willing to improve their vocabulary.
KW - language development
KW - learning process
KW - Technology enhanced learning
UR - http://www.scopus.com/inward/record.url?scp=84883409318&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-40814-4_45
DO - 10.1007/978-3-642-40814-4_45
M3 - Conference contribution
AN - SCOPUS:84883409318
SN - 9783642408137
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 496
EP - 501
BT - Scaling Up Learning for Sustained Impact - 8th European Conference on Technology Enhanced Learning, EC-TEL 2013, Proceedings
Y2 - 17 September 2013 through 21 September 2013
ER -