Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Identifying logical errors in complex, incomplete or even contradictory and overall heterogeneous data like students’ experimentation protocols is challenging. Recognizing the limitations of current evaluation methods, we investigate the potential of Large Language Models (LLMs) for automatically identifying student errors and streamlining teacher assessments. Our aim is to provide a foundation for productive, personalized feedback. Using a dataset of 65 student protocols, an Artificial Intelligence (AI) system based on the GPT-3.5 and GPT-4 series was developed and tested against human raters. Our results indicate varying levels of accuracy in error detection between the AI system and...

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Tipo: artículo

Metodología: estudio empírico

Temas: feedback/retroalimentación

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Este estudio se generó por el debate sobre el tratamiento del error y la conveniencia de la práctica de la corrección de errores dentro del proceso de aprendizaje de E/LE. Se hace una breve reflexión sobre cómo varía el error cuando los aprendientes reciben el método de corrección indirecta con pistas facilitadoras. Este tratamiento fue aplicado a dos producciones escritas de un corpus de 96 intervenciones en foros de opinión de 32 participantes norteamericanos alumnos de E/LE. La metodología que se empleó fue la presentación de tres vídeos sobre el tema de la tecnología para que los participantes opinaran en un foro de opinión. Los participantes recibieron corrección con pistas...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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While feedback is essential for guiding student learning, providing timely and personalized guidance in large-scale educational settings remains a significant challenge. Generative AI offers a scalable solution, yet little is known about students’ perceptions of AI-generated feedback. In this paper, we aim to investigate how the identity of the feedback provider (human vs. AI) affects students’ ability to assess feedback quality and whether their judgments are biased. We propose a comprehensive rubric for assessing the pedagogical quality of formative feedback. We use it to compare the objective quality of AI-generated and human-crafted feedback (N = 979). Next, using data collected from...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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While AI-based educational technologies offer many features designed to support learning, it remains unclear which specific components actually contribute to improved student outcomes. Identifying these active ingredients—the subset of an intervention's core components that are demonstrably associated with learning gains—is essential. Yet, evidence from experimental studies remains limited. To address this gap, we conducted a secondary analysis of data from the treatment group of a randomized controlled trial involving 902 middle school students across three U.S. school districts who used MI Write, an automated writing evaluation (AWE) system. Drawing on implementation science, we examined...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The present research was to bridge a research gap in comprehensively understanding students’ perceptions and experiences in utilizing ChatGPT for their writing process in English as a foreign language (EFL) context. The participants were 45 EFL learners in Macau. The study aimed to explore the potential impact of ChatGPT on writing, as well as their perceptions and experiences of ChatGPT in generating feedback for writing. A mixed-methods approach was employed, with quantitative data collected from a questionnaire and qualitative insights drawn from interviews conducted after a semester-long writing course. The findings supported the significant positive effects of AI assistance on writing...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Generative AI is becoming part of academic writing, but its educational value depends on how control is shared between learner and system. This study examined an agency gap : performance differences that may arise when AI agent initiative is misaligned with learners’ generative AI literacy. Seventy-nine medical and nursing students completed two multimodal analytical writing tasks using healthcare simulation data visualisations. They were randomly assigned to a reactive agent that responded only when prompted or a proactive agent that provided sequenced questions and feedback. Generative AI literacy was measured using the validated 20-item Generative AI Literacy Assessment Test. Epistemic...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Feedback is a crucial element of a student's learning process. It enables students to identify weaknesses and improve self-regulation. However, studies show this to be an area of great dissatisfaction in higher education. With ever-growing course participation numbers, delivering effective feedback is becoming an increasingly challenging task. The efficacy of feedback will depend on four levels of feedback; namely, feedback about the self, task, process or self-regulation. Hence, this paper explores the use of automated content analysis to examine feedback provided by instructors for feedback practices measured on self, task, process, and self-regulation levels. For this purpose, four...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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University courses with hundreds of students have become common, particularly during early years of university studies. The sheer scale of these courses limits traditional instruction, shifting it towards a one-to-many mode of delivery. This shift reduces student–instructor interaction and tailored instructor feedback which are crucial for student success. Automated feedback systems allow scaling feedback, but they often reduce instructor contributions to student learning. This paper investigates how emerging technologies can support, rather than replace, instructors in tailoring their teaching and feedback to identify and correct student knowledge gaps at scale. To address this challenge,...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

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The demand for skilled programmers and the increasing complexity of coding skills have led to a rise in the adoption of artificial intelligence (AI) and machine learning (ML) technologies in computer programming education. Previous research has explored the potential of AI in aspects such as grading assignments, generating feedback, detecting plagiarism, and identifying at-risk students, but there is a lack of systematic reviews focused on AI-powered teaching processes in computer programming classes. To provide a more comprehensive understanding of AI and ML's role in computer programming education, this systematic review examines a wider range of applications across the entire pedagogical...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Argumentative writing is an important skill for (future) teachers, and this skill can be promoted with feedback. For such feedback to be effective, certain social and non-cognitive aspects must be considered. Building on this, our study investigated the influence of different feedback providers and language styles on learners’ motivation, emotions, self-efficacy, and perceptions about the provider and the feedback. A total of N = 98 German student teachers participated in the 3 (feedback provider: artificial intelligence (AI) vs educator vs peer) × 2 (feedback language: personalised vs neutral) experimental between-subjects design. Results showed that student teachers ascribed an AI,...

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