1.

Record Nr.

UNINA9910972356703321

Autore

Weil Henri <1818-1909.>

Titolo

The order of words in the ancient languages compared with that of the modern languages / / Henri Weil

Pubbl/distr/stampa

Amsterdam : , : J. Benjamins, , 1978

ISBN

1-283-31447-9

9786613314475

90-272-8140-8

Edizione

[New edition /]

Descrizione fisica

1 online resource (154 pages)

Collana

Amsterdam studies in the theory and history of linguistic science. Series I, Amsterdam classics in linguistics, 1800-1925 ; ; v. 14

Altri autori (Persone)

ScaglioneAldo D

Disciplina

400

Soggetti

Languages, Modern - Word order

Classical languages - Word order

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Translation of De l'ordre des mots dans les langues anciennes comparées aux langues modernes.

Reprint of the 1887 ed. published by Ginn, Boston.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

THE ORDER OF WORDS IN THE ANCIENT LANGUAGES COMPARED WITH THAT OF THE MODERN LANGUAGES; Editorial page; Title page; Copyright page; Table of contents; INTRODUCTION; SELECTED BIBLIOGRAPHY; EDITORIAL NOTE; Henri Weil.1818-1909.; Bibliographie scientifique.; INTRODUCTION TO THE TRANSLATION.; TABLE OF CONTENTS.; PREFACE.; THE ORDER OF WORDS IN THE ANCIENT LANGUAGES COMPARED WITH THE MODERN.; CHAPTER I. THE PRINCIPLE OF THE ORDER OF WORDS.; CHAPTER II. THE RELATION BETWEEN THE ORDER OF WORDS AND THE SYNTACTICAL FORM OF THE PROPOSITION.

CHAPTER III. THE RELATION BETWEEN THE OEDEE OF WORDS AND EHETOEICAL EMPHASIS.

Sommario/riassunto

New edition of a pioneering work on word order, which originally appeared in French in 1844 (3rd ed., 1879), with an index.



2.

Record Nr.

UNINA9910891338603321

Titolo

Cercetări agronomice în Moldova = : Agronomical research in Moldavia

Pubbl/distr/stampa

Iasi : , : Editura Ion Ionescu de la Brad

Warsaw, Poland : , : DE GRUYTER OPEN

ISSN

2067-1865

Soggetti

Agronomy - Research - Moldavia

Agronomy - Research

Periodicals.

Europe Moldavia

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Periodico

Note generali

Refereed/Peer-reviewed

3.

Record Nr.

UNINA9910996484103321

Titolo

Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 14th International Conference / / edited by Zuzana Kubincová, Dalila Durães, María Cruz Sánchez‑Gómez, Paulo Novais, Loreto Lancia, Maria Angela Pellegrino

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025

ISBN

3-031-85561-2

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (XI, 260 p. 63 illus., 53 illus. in color.)

Collana

Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1308

Disciplina

006.3

Soggetti

Computational intelligence

Artificial intelligence

Computational Intelligence

Artificial Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



Nota di contenuto

Forecasting and AI-Powered Exploration of Student choices across differents types of Mathematics in Pre-University School -- Computerized Dynamic Assessment for Pragmatic Competence in Second Language Learners' English Email Requests -- Game-Based Learning in Higher Education: player profiles of faculty -- Enhancing Education Research: The Potential and Challenges of Incorporating AI into Qualitative Data Analysis -- Personalization – Differences in Teachers’ and Students’ Views -- Categorizing Students of the MathE Platform: a Fuzzy Clustering Perspective.

Sommario/riassunto

This book includes the accepted papers of the four selected workshops focus on Artificial Intelligence for Education (Ai4Ed), Technology Enhanced Learning in Nursing Education (NURSING), Technology Enhanced Learning for Future Citizens (TEL4FC), and integration of emerging technologies into education and training (ETELT). Education is the cornerstone of any society; it serves as one of the foundations for many of its social values and characteristics. mis4TEL’24 promotes the interaction among the scientific community to discuss applications Technology enhanced learning solutions targeting not only cognitive and social processes but also motivational, personality, or emotional factors. In addition, current trends concerning the use of artificial intelligence can help and augment learning opportunities for learners and educators. The authors would like to thank all the contributing authors, the members of the Program Committee, National Associations (AEPIA, APPIA, and LASI), and the sponsors (AIR Institute).