Worked examples, which present an explained code for solving typical programming problems are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide…

Multi-word expressions are formulaic language universals with arbitrary and idiosyncratic collocations. Their usage and mastery are required of learners of a second language in achieving naturalness. However, despite the importance of multi-word expressions to mastering a second language, their syntactic architecture and colligational…

The purpose of this comparative study is to determine whether the linguistic input approach based on Krashen's (1989) comprehensible input (CI) and supported by Kolb's (2015) experiential learning (ELT) and Siemens' (2005) connectivism theory (CT) to improve eighth graders' Spanish speaking and writing linguistic proficiencies. Previous research…

The learning of mathematics poses specific linguistic challenges. Amongst them, teachers and students need to be able to unpack the language used in mathematics word problems to understand its context, discern the relationships between the known and unknown information, and identify relevant solution strategies. Prior research has described some…

This study aimed to examine the effects of an AI-based object detection translation (AI-based ODT) application (app) on EFL students' vocabulary learning. We developed a system that utilized strategies to facilitate learners' vocabulary learning. The app applied dual code theory to present the objects in picture, word, and pronunciation formats.…

Purpose: This study attempts to evaluate the effect of the corpus-based inductive teaching approach with multiple academic corpora (PICA, CAEC and Oxford Corpus of Academic English) and conventional deductive teaching approach (i.e., multiple-choice items, filling the gap, matching and underlining) on learning academic collocations by Iranian…

Translators employ an array of tools to streamline the translation process, ensuring precision and coherence. The necessity of these tools is particularly pronounced when tackling authentic materials, such as texts from the United Nations (UN). Among these tools, corpora stand out as a pivotal resource. In light of this, this study undertook a…

ChatGPT and Bard, two chatbots powered by Large Language Models (LLMs), are propelling the educational sector towards a new era of instructional innovation. Within this educational paradigm, the present investigation conducts a comparative analysis of these groundbreaking chatbots, scrutinizing their distinct operational characteristics and…

The use of machine translation (MT) in the academic context has increased in recent years. Hence, language teachers have found it difficult to ignore MT, which has led to some concerns. Among the concerns, its accuracy has become a major factor that shapes language teachers' pedagogical decision to use MT in their language classrooms. Despite the…

This study compares learner perceptions in a synchronous online versus face-to-face (F2F) learning context about four principles of communicative language teaching (CLT): promoting collaborative learning, using comprehensible input, considering affective factors, and providing corrective feedback. Data were obtained via online surveys from…

Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…

Although English and German are both Germanic languages, due to various historical changes, many of their cognates are no longer easily recognizable. This study examined whether knowledge of language history can be beneficial to learners when learning English-German cognates. Thirty-five English-speaking second language (L2) learners of…

Automating the classification of instructional strategies from a large-scale online tutorial dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring systems. Despite many existing studies employing supervised machine learning (ML) models to automate the classification process, they concluded that building a…

The question of whether second languages (L2s) are best learned implicitly or explicitly has been a topic of much empirical discourse, with the majority of studies pointing to the benefits of explicit instruction when learning L2 grammar rules. However, given the focus on grammar, it is unclear how generalizable these findings are to other…

This study aims to investigate the effectiveness of German grammar textbook using linguistic approaches in increasing students' academic motivation, learning outcome, and linguistic understanding. This German grammar textbook is composed for Indonesian learners. This study employed experimental approach by involving two experimental groups without…