Most student performance metrics are based on quantitative assessment from traditional test and examination scores. However, there is an apparent scarcity of exploratory qualitative studies to examine the characterization of traits, attitudes, and behaviors that may influence students' performance outcomes. Moreso because such characterization…

Automatically identifying struggling students learning to program can assist teachers in providing timely and focused help. This work presents a new deep-learning language model for predicting "bug-fix-time", the expected duration between when a software bug occurs and the time it will be fixed by the student. Such information can guide…

Dynamic written corrective feedback (DWCF) is a pedagogical approach that offers meaningful, manageable, constant, and timely corrective feedback on student writing (Hartshorn et al., 2010). It emphasizes indirect and comprehensive written error correction on short, daily writing assignments. Numerous studies have demonstrated that its use can…

Previous studies have been done to research the effects of different electronic feedback (e-feedback) modes of helping English as a foreign language (EFL) students improve their writing. The purpose of this study was to employ online peer feedback (OPF) and automated corrective feedback (ACF) to assess EFL learners' writing performance in the…

Feedback as the key component of formative assessment was studied extensively in the context of the acquisition of the foreign language productive skills by different categories of learners. Similarly, this paper aimed at the investigation of the optimal design of the feedback loop in teaching translation to undergraduate students. A mixed-methods…

Problem solving is an integral part of doing science, yet it is challenging for students in many disciplines to learn. We explored student success in solving genetics problems in several genetics content areas using sets of three consecutive questions for each content area. To promote improvement, we provided students the choice to take a…

The main purpose of this study is to evaluate the effectiveness of Machine Translation Post-Editing (MTPE) training for FL students. Our hypothesis was that with specific MTPE training, students will able to detect and correct machine translation mistakes in their FL. Training materials were developed to detect six typical mistakes from Machine…

Two types of corrective feedback, recasts and prompts, have sparked much research in second language (L2) learning and teaching. However, it is still unclear how these two types of feedback draw learners' attention to the erroneous forms in L2 classes. This study used an open questionnaire to investigate Chinese learners' perceptions of recasts…

Confusion is an important epistemic emotion because it can help students focus their attention and effort when solving complex learning tasks. However, unresolved confusion can be detrimental because it may result in students' disengagement. This is especially concerning in simulation environments using discovery-based learning, which puts more of…

This study aims to provide a comprehensive and in-depth investigation of the debugging process in programming teaching in terms of cognitive and metacognitive aspects, based on programming students who demonstrate low, medium, and high programming performance and to propose instructional strategies for scaffolding novice learners in an effective…

Software is an integral part of our lives. It controls the cars we drive every day, the ships we send into space, and even our toasters. It is everywhere and we can easily download more. Software solves many real-world problems and satisfies many needs. Thus, unsurprisingly, there is a rising demand for software engineers to maintain existing…

The present study aimed to identify Turkish language sounds that Arabic native speakers experience pronunciation difficulties with when learning Turkish and make various suggestions on how to resolve this problem. Qualitative research method and observation technique were used in the study. The data were collected in 2016 and the second half of…

Legal translation of contract agreements is a challenge to translators as it involves combining the literary translation with the technical terminological precision. In translating legal contract agreements, a legal translator must utilize the lexical or syntactic precision and, more importantly, the pragmatic awareness of the context. This will…

The study uses an elicited imitation (EI) task to examine the effect of the native language on the use of the English nongeneric definite article by highly proficient first-language (L1) Spanish and Russian speakers and to test the hierarchy of article difficulty first proposed by Liu and Gleason (2002). Our findings suggest that there is a clear…

This article describes the development and implementation of an open-access organic chemistry question bank for online tutorials and assessments at University College Cork and Dublin Institute of Technology. SOCOT (structure-based organic chemistry online tutorials) may be used to supplement traditional small-group tutorials, thereby allowing…