Scientists use specific terms to denote concepts, objects, phenomena, etc. The terms are then connected with each other in sentences that are used in science-specific language. Representing these connections through term networks can yield valuable insights into central terms and properties of the interconnections between them. Furthermore,…

Frames--defined as mental structures built through language and symbols that categorize our thoughts and experiences--have a significant impact on partnerships, shaping how participants understand the nature of the collaboration. While scholars have explored how teachers might frame engagement partnerships for university students and…

This study aims to establish a model of collaboration that illustrates the various channels of collaboration that (trainee) translators go through in the course of translation, who they collaborate with, and why they choose to do so. To this end, it draws on an in-depth analysis of 21 medium-length Wikipedia articles translated by undergraduate…

Students are required to master effective sentences to support their writing skills. However, students often struggle with comprehending and constructing effective sentences due to their limited proficiency and competence. This research examines the comprehension of effective sentences through grammaticality judgment tests and its implications for…

Building and checking concept maps is an active research topic in visual learning. Concept maps are intended to show visual representations of interrelated concepts in educational and professional settings. For the last decades, numerous formulas have been proposed to compute the semantic proximity between any pair of concepts in the map. A review…

Research on pragmatic awareness of language learners has mainly focused on the target language. As argued by some scholars, a multilingual perspective should also be adopted in the analysis of pragmatic awareness. In fact, existing findings point to the peculiar characteristics of multilingual pragmatic comprehension and awareness. Bearing these…

This study applies multimodal conversation analysis to examine how pupils of L2 English in Sweden make use of online translation tools (OTTs), i.e. bilingual dictionaries and Google Translate, in a range of digital collaborative writing tasks. The collection of sequences where pupils use OTTs comes from 31 hours of video-recorded data from four…

The present study examined students' attention to linguistic forms during writing tasks and compared individual and collaborative writing conditions. Furthermore, the ways students in both conditions process indirect synchronous written corrective feedback (SWCF) and the ways they respond to it (i.e., uptake) were investigated. The target…

It has been argued that the growing impact of new technologies on society should be reflected in education in response to the digital generation's extensive dependence on digital tools. This paper focuses on the incorporation of digital technologies into translator training by comparing the benefits and drawbacks of "wikis," a…

Despite the rapid development in the area of learning analytics (LA), there is comparatively little focused towards the secondary level of education. This ongoing work presents the latest developed function of Wikiglass, an LA tool designed for automatically recognising, aggregating, and visualising levels of thinking orders in student…

Based on my role as Editor in Chief of the journal Language Learning & Technology since 2000 and on my experiences as a technology-enhanced language learning (TELL) researcher, developer and teacher, I will provide an overview of recent cutting-edge research on the uses of technologies for second language teaching and learning. I suggest that…

Semantic distance is a determining factor in cognitive processes, such as semantic priming, operating upon semantic memory. The main computational approach to compute semantic distance is through latent semantic analysis (LSA). However, objections have been raised against this approach, mainly in its failure at predicting semantic priming. We…

This book is the first to bring together a collection of recent empirical studies investigating languaging, an important construct first introduced by Swain in 2006 but which has since been deployed in a growing number of L2 studies. The contributing authors include both established and emerging authors from around the globe. They report on…

The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…