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The objectives of this article are to examine the geographical reasoning of Grade 9 students through the creation of narrative maps on Google Maps; to explore the students' Google Maps skills; to estimate their appreciation of the use of narrative maps in the geography course and to evaluate the quality of the texts they produce in these narrative maps. Through an exploratory and developmental research method, the narrative maps are examined using analysis grids (geographical reasoning and textual coherence). The results indicate that the written texts are essentially descriptive and demonstrate geographical relational reasoning with attempts at interpretation and explanation limited to the visual site. While the students adapt their vocabulary to the communication context, their descriptive texts seem to lack macro-structural coherence. However, the students participating in the study seem to develop new technical skills on Google Maps and appreciate the narrative map being used in the geography course.
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Our study is a follow-up to a 2018 comparative experimental research on human translation (HT) and machine translation (MT) post-editing (PE) (English-French) that was conducted with third-year bachelor students in translation (Schumacher 2020b). In this article we provide the results of a 2nd controlled experiment conducted in 2021 with master's students. The objectives are to compare both HT and MTPE products (DeepL and Google Translate) and to contribute to the debate on adapting translator training programs. Quantitative analysis of this 2nd experiment shows that post-edited texts were judged of better overall quality than HT. The human quality assessment also shows very high success rates in PE (especially with DeepL) and confirmed the existence of a leveling effect in PE on the target text quality: PE–particularly with Google Translate–gives rise to an inverse relationship between a student's performance in HT and the quality of his/her post-edited product. In other words, students with poor-quality human-translated productions are the ones who benefit most from PE and vice versa. Finally, it appears the quality of a post-edited text depends on neural MT system since students performed better with DeepL.
Keywords: postédition, traduction automatique neuronale, recherche expérimentale, évaluation de la qualité en traduction, étudiants en traduction, post-editing, neural machine translation, experimental research, translation quality assessment, students in translation, posedición, traducción automática neuronal, investigación experimental, evaluación de la calidad de la traducción, estudiantes en traducción
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Publication of research, innovation, challenges and successes is of critical importance to the evolution of more effective distance education programming. Publication in peer reviewed journal format is the most prestigious and the most widespread form of dissemination in education and most other disciplines, thus the importance of understanding what is published and its impact on both researchers and practitioners. In this article we identify and classify the leading articles in arguably the leading peer reviewed journals in this discipline. The journal The International Review of Research in Open and Distance Learning (IRRODL) is a peer reviewed academic journal that has been published since 2000. The journal has published between 3 and 6 issues annually with between 50 and 111 research articles per volume. In order to assess the general and the particular impact of highly cited articles this work describes the main bibliometric indicators of the IRRODL journal and these are compared with the total galley views in all formats, PDF, HTML, EPUB and MP3, that IRRODL publishes. In addition to identifying characteristics of the most widely cited articles this research determines if there is a correlation between the articles most highly cited by other publishing researchers and the number of views, indicating interest from both practitioners and research communities. The results show a significant and positive relationship between the total number of citations and the number of views received by articles published in the journal, indicating the impact of the journal extends beyond active publishers to practitioner consumers.
Keywords: International Review of Research in Open and Distance Learning, IRRODL, Highly cited papers, Google Scholar, Research trends, Open and Distance Learning
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Keywords: communs, enclosures, plateformes, communautés, documents, commons, enclosures, platforms, communities, documents
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This article explores the links between cartography, Geographic Information Systems (GIS) and spaces of confinement. From the perspective of a critical reappropriation of GIS, it shows that mainstream software programs such as Google Earth can contribute to a ‘counter-mapping' of prison expansion in the contemporary era. Applied to Champ-Dollon prison (Geneva, Switzerland), this approach proves to be relevant in deconstructing and challenging the myth of Switzerland's small, ‘humane' prisons.
Keywords: Contre-cartographie, SIG, Google Earth, prisons, géographie carcérale, Suisse, Counter-mapping, GIS, Google Earth, prisons, carceral geography, Switzerland, Contra-cartografía, SIG, Google Earth, prisiones, geografía carcelaria, Suiza