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Arndt, Henriette L.; Granfeldt, Jonas; Gullberg, Marianne – Language Learning, 2023
This paper introduces the Lang-Track-App, a smartphone application and backend system to aid second language acquisition researchers in implementing the experience sampling method (ESM). Surveying research participants with the Lang-Track-App multiple times per day can yield exceptionally rich data that can be analyzed in multiple ways. This…
Descriptors: Computer Oriented Programs, Handheld Devices, Second Language Learning, Second Language Instruction
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Martina Manna – International Journal of Mobile and Blended Learning, 2023
As an emergent technology augmented reality (AR) demonstrated a plethora of advantages in foreign language education, promoting motivation, memorization of contents, as well as contextualized learning. However, the majority of teachers are unfamiliar with AR, and their role as designers and facilitators requires further investigation. Moreover,…
Descriptors: Italian, Second Language Learning, Second Language Instruction, Language Teachers
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Montaner-Villalba, Salvador – Research-publishing.net, 2022
Following up on Montaner-Villalba et al. (2020), this research focuses on written competence in the English language. The huge advance in technology permits teachers to use mobile applications. This quantitative design research investigated WordPress, in its mobile version, on written competence in English as a Foreign Language (EFL). One…
Descriptors: Writing Skills, Writing (Composition), Telecommunications, Handheld Devices
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Akhlaghi, Elham; Baczkowska, Anna; Berthelsen, Harald; Bédi, Branislav; Chua, Cathy; Cucchiarini, Catia; Habibi, Hanieh; Horváthová, Ivana; Hvalsøe, Pernille; Lotz, Roy; Maizonniaux, Christèle; Chiaráin, Neasa Ní; Rayner, Manny; Tsourakis, Nikos; Yao, Chunlin – Research-publishing.net, 2021
A popular idea in Computer Assisted Language Learning (CALL) is to use multimodal annotated texts, with annotations typically including embedded audio and translations, to support L2 learning through reading. An important question is how to create the audio, which can be done either through human recording or by a Text-To-Speech (TTS) synthesis…
Descriptors: Educational Quality, Computer Assisted Instruction, Audio Equipment, Comparative Analysis
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Manna, Martina – International Journal of Mobile and Blended Learning, 2023
As an emergent technology augmented reality (AR) demonstrated a plethora of advantages in foreign language education, promoting motivation, memorization of contents as well as contextualized learning. However, the majority of teachers are unfamiliar with AR, and their role as designers and facilitators requires further investigation. Moreover,…
Descriptors: Italian, Second Language Learning, Second Language Instruction, Open Source Technology
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Chiaráin, Neasa Ní – Research-publishing.net, 2022
"An Corpas Cliste" ('Clever Corpus') is an Irish language learner corpus. The corpus data comes from a purpose-built intelligent Computer Assisted Language Learning (iCALL) platform called "An Scéalaí" ('the Storyteller') and comprises both audio and text, produced by second and third level learners of Irish. Metadata (e.g. L1,…
Descriptors: Computational Linguistics, Irish, Computer Assisted Instruction, Second Language Learning
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Loftus, Maria; Lowney, Rob – Research-publishing.net, 2020
This paper will detail the introduction of the open-source content creation tool H5P in a first year university French language module with 115 students in autumn 2019 and its evaluation in early spring 2020. The aim of this project is to analyse what happens when students are given access to an authoring tool traditionally intended for and used…
Descriptors: French, College Second Language Programs, Open Source Technology, Video Technology
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Wang, Qiao – Education and Information Technologies, 2022
This study searched for open-source semantic similarity tools and evaluated their effectiveness in automated content scoring of fact-based essays written by English-as-a-Foreign-Language (EFL) learners. Fifty writing samples under a fact-based writing task from an academic English course in a Japanese university were collected and a gold standard…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Scoring
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Bédi, Branislav; Butterweck, Matt; Chua, Cathy; Gerlach, Johanna; Guðmarsdóttir, Birgitta Björg; Habibi, Hanieh; Jónsson, Bjartur Örn; Rayner, Manny; Vigfússon, Sigurður – Research-publishing.net, 2020
Learning and Reading Assistant (LARA) is an open source platform that enables conversion of plain texts into an interactive multimedia form designed to support second- and foreign-language (L2) learners. In this workshop, we illustrate the open source aspects using collaborative work carried out during a six-week summer project at the Árni…
Descriptors: Open Source Technology, Multimedia Materials, Second Language Learning, Second Language Instruction
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Sara Fernández Cuenca; Sean Michael Muller – Journal of Second Language Acquisition and Teaching, 2021
Language interaction has been shown to positively impact second language development (Long, 1996). However, whereas research that examined interactionist approaches to second language acquisition (Gass & Mackey, 2006) has meticulously studied how different factors in the interaction (interactional context, type of task, etc) may affect L2…
Descriptors: Second Language Learning, Second Language Instruction, Spanish, Task Analysis
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Bédi, Branislav; Chua, Cathy; Habibi, Hanieh; Martinez-Lopez, Ruth; Rayner, Manny – Research-publishing.net, 2019
This paper presents a brief overview of LARA (Learning And Reading Assistant), an open source online tool that has been under development since summer 2018. LARA currently contains a corpus of about 25 texts in ten languages and a crowdsourcing model used to expand the corpus. The central goal is to provide support for improving second language…
Descriptors: Computer Assisted Instruction, Indo European Languages, Computational Linguistics, Reading Comprehension
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Todirascu, Amalia; Cargill, Marion – Research-publishing.net, 2019
We present SimpleApprenant, a platform aiming to improve French L2 learners' knowledge of Multi Word Expressions (MWEs). SimpleApprenant integrates an MWE database annotated with the Common European Framework of Reference for languages (CEFR) level and several Natural Language Processing (NLP) tools: a spelling checker, a parser, and a set of…
Descriptors: French, Phrase Structure, Second Language Learning, Second Language Instruction
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Wu, Mike; Davis, Richard L.; Domingue, Benjamin W.; Piech, Chris; Goodman, Noah – International Educational Data Mining Society, 2020
Item Response Theory (IRT) is a ubiquitous model for understanding humans based on their responses to questions, used in fields as diverse as education, medicine and psychology. Large modern datasets offer opportunities to capture more nuances in human behavior, potentially improving test scoring and better informing public policy. Yet larger…
Descriptors: Item Response Theory, Accuracy, Data Analysis, Public Policy
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Martini, Juliane – Research-publishing.net, 2020
The aim of the present study was to evaluate the appropriateness of open-access reading materials for an intensive English for Academic Purposes (EAP) course, and to provide teachers with a set of criteria to select online texts systematically and efficiently. The Corpus for Veterinarians (VetCorpus) was compiled and analyzed using Lextutor corpus…
Descriptors: Computational Linguistics, Open Source Technology, Academic Language, Vocabulary Development
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Madnani, Nitin; Burstein, Jill; Sabatini, John; Biggers, Kietha; Andreyev, Slava – Grantee Submission, 2016
Current education standards in the U.S. require school students to read and understand complex texts from different subject areas (e.g., social studies). However, such texts usually contain figurative language, complex phrases and sentences, as well as unfamiliar discourse relations. This may present an obstacle to students whose native language…
Descriptors: English Language Learners, Reading Instruction, Natural Language Processing, Learning Activities
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