Adaptive action-related reactions to errors, i.e. (meta-)cognitive processes and behaviours directly aimed at overcoming an error, have been proposed to benefit learning outcomes. However, causally interpretable findings are sparse in the current literature. Addressing this research deficit, the present study aimed at investigating whether…

Background: Interest in the potential of learning from errors to benefit innovation and organizational and personal growth is currently increasing. In practice, individuals frequently do not appear to learn spontaneously from errors and setbacks without support. Based on prior work, this paper considers antecedents and consequences of adaptive…

Many students struggle with making sense of feedback information and in applying and transferring it to new contexts. Research literature suggests that low-performing students are especially at risk because they often do not understand assessment criteria and cannot utilise information they receive. This paper addresses this problem through…

Contribution: This study uses a qualitative research method to analyze interviews where participants simplified an electric circuit while explaining their thought process. Background: Rearranging circuit diagrams is a fundamental skill in electrical and electronic engineering, yet students can struggle with unfamiliar configurations. Current…

Background: A solid conceptual understanding is essential for students to succeed in all academic disciplines. Student misconceptions are correlated with their poor academic performance and high attrition rates. It is especially important to correct student misconceptions in science-based undergraduate engineering mechanics courses that cover…

We introduce a novel type of assessment that allows for efficient grading of higher order thinking skills. In this assessment, a student reviews and corrects a technical memo that has errors in its formulation or process. To overcome the grading challenges imposed by essay-type responses in large undergraduate courses, we provide a Visual Basic…

Despite the plethora of studies on the role of noticing in second language learning, little is known about the role of AI-operated feedback in noticing errors and uptake "during" and "after" writing. To address this gap, this study primarily aimed to investigate the impact of feedback modes and timing on L2 students' noticing…

Purpose: This study aims to identify the antecedents of learning from mistakes within the student group work setting. Specifically, this study provides empirical evidence of how team-member exchange (TMX) positively leads to learning from mistakes via person-focused interpersonal citizenship behaviours (ICBs) and of the boundary condition of…

Many writing teachers believe that giving written corrective feedback (WCF) is an important part of learning to write. Equally, students like to receive it. However, most previous research on WCF has looked at its overall effectiveness, with less attention paid to the differences of opinion between students and their teachers, and the implications…

Much research has applied automated writing evaluation (AWE) systems to English writing instruction; however, understanding how students internalize and apply this feedback to reduce writing errors is difficult, largely due to the personal and private nature of this process. Therefore, this research utilized eye-tracking technology to explore the…

Recently, there has been a shift in the perception of tasks. Tasks are no longer viewed as 'one-off' activities, and the importance of studying the role of task repetition has been increasingly addressed (Bygate, 2018). However, the way task repetition effects are mediated by other instructional conditions such as corrective feedback has not been…

Artificial intelligence (AI) is gaining wide attention in second language learning as a beneficial tool. The current research investigates EFL learners' perceptions and usage of AI applications among 68 undergraduate English language major students. The aim is to enhance students' awareness of valuable AI applications and involve them with AI…

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…

Task-based language teaching (TBLT) has occupied an important place in the field of language education; however, some of TBLT dimensions that pertain to the interaction between task design features, written corrective feedback (WCF), and learners' performance have not received adequate attention in past studies. To fill this gap, the current study…

It is critical to teach all learners to program and think through programming. But to do so requires that early childhood teacher candidates learn to teach computer science. This in turn requires novel pedagogy that can both help such teachers learn the needed skills, but also provide a model for their future teaching. In this study, we examined…