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Atteggiamenti dei docenti nei confronti dell'inclusione scolastica
Vergani, Francesca; Kielblock, Stephan
Journal Article
| In: L'integrazione scolastica e sociale | 2021
41079 Endnote
Author(s):
Vergani, Francesca; Kielblock, Stephan
Title:
Atteggiamenti dei docenti nei confronti dell'inclusione scolastica
In:
L'integrazione scolastica e sociale, 20 (2021) 1, S. 124-156
DOI:
10.14605/ISS2012106
URN:
urn:nbn:de:0111-pedocs-237445
URL:
https://rivistedigitali.erickson.it/integrazione-scolastica-sociale/archivio/vol-20-n-1/atteggiamenti-dei-docenti-nei-confronti-dellinclusione-scolastica/
Publication Type:
3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Language:
Sonstiges
Keywords:
Inklusion; Lehrer; Einstellung <Psy>; Selbstwirksamkeit; Fragebogen; Übersetzung; Italienisch; Anpassung; Validität
Abstract:
Nel campo dell'inclusione scolastica grande interesse è attualmente rivolto alla misurazione degli atteggiamenti dei docenti verso l'inclusione. L'approfondimento della letteratura ha evidenziato, però, scarsa coerenza fra gli strumenti esistenti e un paradigma inclusivo non centrato esclusivamente sugli studenti con disabilità. Individuato in Kielblock, 2018 uno strumento coerente in tal senso, lo scopo di questo studio è la traduzione e validazione in italiano di tale questionario. Il processo ha previsto una double-blind back-translation; un adattamento culturale in collaborazione con ricercatori e docenti; una validazione statistica su un campione di 272 docenti. Il risultato è un questionario di 26 item complessivi, con solide proprietà univariate, buona coerenza fattoriale e adeguata affidabilità (α = 0,811 per la scala sugli atteggiamenti; α = 0,785 per la scala sull'autoefficacia). (DIPF/Orig.)
Abstract (english):
In the field of inclusive education, there is currently great interest in measuring the attitudes of teachers towards inclusion. An in-depth study of literature has shown, however, a lack of coherence between the existing tools, and an inclusive paradigm which is not focused exclusively on students with disabilities. Having identified (Kielblock, 2018) a coherent instrument, the purpose of this study is the Italian translation and validation of this questionnaire. The process involved double-blind back-translation; cultural adaptation in collaboration with researchers and teachers; and statistical validation on a sample of 272 teachers. The result is a questionnaire of 26 items, with solid univariate properties, good factorial consistency and appropriate reliability (α = 0.811 for the attitude scale, α = 0.785 for the self-efficacy scale). (DIPF/Orig.)
DIPF-Departments:
Struktur und Steuerung des Bildungswesens
TAXI. A taxonomy induction method based on lexico-syntactic patterns, substrings and focused […]
Panchenko, Alexander; Faralli, Stefano; Ruppert, Eugen; Remus, Steffen; Naets, Hubert; […]
Book Chapter
| Aus: Association for Computational Linguistics (Hrsg.): Proceedings of the 10th International Workshop on Semantic Evaluation co-located with NAACL 2016 | Stroudsburg; PA: Association for Computational Linguistics | 2016
37068 Endnote
Author(s):
Panchenko, Alexander; Faralli, Stefano; Ruppert, Eugen; Remus, Steffen; Naets, Hubert; Fairon, Cédrick; Ponzetto, Simone Paolo; Biemann, Chris
Title:
TAXI. A taxonomy induction method based on lexico-syntactic patterns, substrings and focused crawling
In:
Association for Computational Linguistics (Hrsg.): Proceedings of the 10th International Workshop on Semantic Evaluation co-located with NAACL 2016, Stroudsburg; PA: Association for Computational Linguistics, 2016 , S. 1320-1327
URL:
http://www.aclweb.org/anthology/S16-1206
Publication Type:
4. Beiträge in Sammelbänden; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Computerlinguistik; Taxonomie; Methode; Sprache; Englisch; Niederländisch; Französisch; Italienisch; Text; Begriff; Struktur; Evaluation
Abstract:
We present a system for taxonomy construction that reached the first place in all sub-tasks of the SemEval 2016 challenge on Taxonomy Extraction Evaluation. Our simple yet effective approach harvests hypernyms with substring inclusion and Hearst-style lexico-syntactic patterns from domain-specific texts obtained via language model based focused crawling. Extracted taxonomies are evaluated on English, Dutch, French and Italian for three domains each (Food, Environment and Science). Evaluations against a gold standard and by human judgment show that our method outperforms more complex and knowledge-rich approaches on most domains and languages. Furthermore, to adapt the method to a new domain or language, only a small amount of manual labour is needed. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
Predicting the spelling difficulty of words for language learners
Beinborn, Lisa; Zesch, Torsten; Gurevych, Iryna
Book Chapter
| Aus: Association for Computational Linguistic (Hrsg.): Proceedings of the 11th workshop on innovative use of NLP for building educational applications held in conjunction with NAACL 2016 | Stroudsburg; PA: Association for Computational Linguistics | 2016
36973 Endnote
Author(s):
Beinborn, Lisa; Zesch, Torsten; Gurevych, Iryna
Title:
Predicting the spelling difficulty of words for language learners
In:
Association for Computational Linguistic (Hrsg.): Proceedings of the 11th workshop on innovative use of NLP for building educational applications held in conjunction with NAACL 2016, Stroudsburg; PA: Association for Computational Linguistics, 2016 , S. 73-83
URL:
https://www.ukp.tu-darmstadt.de/fileadmin/user_upload/Group_UKP/wall/BEA2016_SpellingDifficulty.pdf
Publication Type:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings
Language:
Englisch
Keywords:
Computerlinguistik; Deutsch; Englisch; Fehler; Fremdsprache; Italienisch; Modell; Muttersprache; Phonetik; Psycholinguistik; Rechtschreibung
Abstract (english):
In many language learning scenarios, it is important to anticipate spelling errors. We model the spelling difficulty of words with new features that capture phonetic phenomena and are based on psycholinguistic findings. To train our model, we extract more than 140,000 spelling errors from three learner corpora covering English, German and Italian essays. The evaluation shows that our model can predict spelling difficulty with an accuracy of over 80% and yields a stable quality across corpora and languages. In addition, we provide a thorough error analysis that takes the native language of the learners into account and provides insights into cross-lingual transfer effects. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
Italienisch lernen für Erwachsene
Hirschmann, Doris (Red.)
Working Papers
| 2009
8414 Endnote
Author(s):
Hirschmann, Doris (Red.)
Title:
Italienisch lernen für Erwachsene
Published:
Frankfurt am Main 2009
URL:
http://www.bildungsserver.de/zeigen.html?seite=7342
Publication Type:
5. Arbeits- und Diskussionspapiere; Online Dossiers (DBS)
Language:
Deutsch
Keywords:
Erwachsenenbildung; Weiterbildung; italienisch; Fremdsprache; Sprachkurs; Lernmittel; Quellensammlung; Internet
Abstract:
Das Dossier des Deutschen Bildungsservers dokumentiert Internetquellen zum Thema "Italienischlernen für Erwachsene". Zusammengestellt wurden relevante Portale, Datenbanken zur Sprachkurssuche, Lernmaterialien, E- Zeitungen und Wörterbücher sowie Seiten von Kulturinstituten und Informationen zu Sprachzertifikaten. (DIPF/Orig.)
DIPF-Departments:
Informationszentrum Bildung
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