This study aims to determine the misconceptions of teacher candidates about the greenhouse effect concept by using Artificial Intelligence (AI) algorithm instead of human experts. The Knowledge Discovery from Data (KDD) process model was preferred in the study where the Analyse, Design, Develop, Implement, Evaluate (ADDIE) instructional design…

The application of natural language processing (NLP) technology in the field of education has attracted considerable attention. This study takes 716 articles from the Web of Science database from 1998 to 2023 as its research sample. Using bibliometrics as the theoretical foundation, and employing methods such as literature review and knowledge…

This study explored the effects of concurrent group dynamic assessment (G-DA) and cumulative G-DA on Iranian pre-intermediate English as a foreign language (EFL) learners' interlanguage pragmatic comprehension (ILPC). To this end, a total of 97 pre-intermediate learners took the key English test (KET) test and 45 learners whose scores fell between…

An online peer-assessment system typically allows students to give textual feedback to their peers, with the goal of helping the peers improve their work. The amount of help that students receive is highly dependent on the quality of the reviews. Previous studies have investigated using machine learning to detect characteristics of reviews (e.g.,…

Learning to read is an expectation rather than an exception in society today. Despite this, some children experience reading difficulties. The purpose of this article is to review recent and seminal research on reading difficulties through the lenses of three perspectives: cognitive, social and cultural and interactive. The three perspectives are…

As students learn how to program, both their programming code and their understanding of it evolves over time. In this work, we present a general data-driven approach, named "Temporal-ASTNN" for modeling student learning progression in open-ended programming domains. Temporal-ASTNN combines a novel neural network model based on abstract…

In this investigation we propose new machine learning methods for automated scoring models that predict the vocabulary acquisition in science and social studies of second grade English language learners, based upon free-form spoken responses. We evaluate performance on an existing dataset and use transfer learning from a large pre-trained language…

As learning and teaching theory experts, university educators are constantly asked to review and reflect on their methodologies and to co-generate them with all members of the educational community. Teachers understand that students constantly shape the object of study, and thus embrace differences among individuals. In this context, a dialogic…

In L2 assessment research, assessments have traditionally been associated with large-scale testing or formal proficiency tests, primarily to record student achievement (Turner & Purpura, 2016). Classroom-based assessments (CBAs), then, are seen as offshoots of large-scale tests, thus, designed similarly (Turner, 2012). However, CBAs serve a…

Since the establishment and development of translation and interpreting discipline in universities around the world, interpreting contests are held to (1) raise wild interests in interpreting activities; (2) promote interpreting training programs and interpreting pedagogy research; and (3) enhance individual's language proficiency and interpreting…

Assessment underpins all forms of translator training and is an essential element of any teaching and learning process. By looking at university assessment practices, we can gain an insight into current understandings about the nature of translation practice and what issues are foregrounded in translator education. This paper presents the findings…

With the concise and readable "Brain Words," you will learn how children's brains develop as they become readers and discover ways you can take concrete steps to promote this critical developmental passage. Introducing their original, research-based framework of "brain words"--dictionaries in the brain where students store and…

Legal and court interpreters require advanced professional skills to perform their demanding tasks. How well does Australia prepare interpreters to fulfil the linguistic needs of its numerous communities, including 'established' migrant, indigenous, 'new and emerging' and deaf, in a variety of legal settings? Based on the online data and…

This article proposes a model for teaching interpreting for tourism purposes. It shows the aims of the model, interpreting materials, training strategies, training environment and assessment techniques. The model aims to train students to interpret in English with or without prior preparation or knowledge of the topic and without taking or reading…

Since 2000, translator and interpreter trainers have been arguing against the use of a transmissionist approach and for the use of a transformationist approach. Such a change in instructional approach is rooted in a shift in trainers' beliefs from behaviourism to social constructivism/situated learning. Teachers' beliefs on the nature of knowledge…