Bibliografía sobre IA y ELE

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y enseñanza-aprendizaje de lenguas IA y evaluación estudio empírico

Resumen:

This study introduces a novel method for explainable speaking skill assessment that utilizes a unique dataset featuring video recordings of conversational interviews for high-stakes outcomes (i.e., admission to high schools and universities). Unlike traditional automated speaking assessments that prioritize accuracy at the expense of interpretability, our approach employs a new multimodal dataset that integrates acoustic and linguistic features, visual cues, turn-taking patterns, and expert-derived scores quantifying various speaking skill aspects observed during interviews with young adolescents. This dataset is distinguished by its open-ended question format, which allows for varied...

Academic cheating with generative AI: Exploring a moral extension of the theory of planned behavior

Dongpeng Huang, Nicole Hash, James J. Cummings (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas:
ética de la IA estudio empírico

Resumen:

As generative artificial intelligence (GenAI) tools become increasingly integrated into educational environments, concerns have emerged about their potential to facilitate academic dishonesty. Drawing on the modified theory of planned behavior, this study aimed to understand undergraduate students’ academic cheating behaviors using GenAI. The study conducted a mixed-method approach, utilizing focus groups and polls to gather insights from 25 undergraduate students enrolled in a course that incorporated GenAI into its pedagogical design in the United States. The results revealed that the integration of GenAI into higher education is perceived as inevitable. While students clearly recognized...

Investigating the impact of generative AI integration on the sustenance of higher-order thinking skills and understanding of programming logic

Jemimah Nathaniel, Solomon Sunday Oyelere, Jarkko Suhonen (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y aprendizaje prompts estudio empírico

Resumen:

This study investigates how integrating generative AI (GenAI) with instructional scaffolding and prompt engineering supports higher-order thinking skills (HOTS) and programming logic. A mixed-methods design was used, combining quantitative and qualitative data. The intervention followed a one-group pretest-post-test structure over seven weeks with 25 computer science students with no prior C++ experience. The GenAI-Ped framework guided the design. It combines Bloom's taxonomy, Seelf-Regulated Learning, Universal Design for Learning, and Vygotsky's Zone of Proximal Development. Students received scaffolded support across six instructional phases, including prompt training and guided GenAI...

Digital equity and computational thinking privilege: The case of first-year engineering and computing students' attitudes towards artificial intelligence

Noemi V. Mendoza Diaz, So Yoon Yoon, Nancy Gertrudiz Salvador (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y educación estudio empírico

Resumen:

Attitudes can constitute barriers to engineering, computing, and artificial intelligence (AI) enculturation, contributing to and resulting from digital inequity. Building upon research on computational thinking privilege, we explored first-year students' (a) perceived future impact of AI on their career prospects and (b) backgrounds (e.g., gender, underrepresented minority (URM) status, and First-Generation status) associated with their attitudes toward AI, computational thinking, and course performance. Computational thinking was measured using our newly validated Engineering Computational Thinking Diagnostic (ECTD), while course performance was assessed based on final grades in an...

From teachers to chatbots: Scaffolded corrective feedback and student trust in online L2 English classrooms

Ali Soyoof, Barry Lee Reynolds, Ehsan Rassaei (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y enseñanza-aprendizaje de lenguas chatGPT IA y evaluación estudio empírico

Resumen:

Teacher corrective feedback (TCF) plays a vital role in second language (L2) learning. Recent studies have examined feedback provided by both human teachers and large language models (LLMs). However, little is known about how students' trust differs toward scaffolded corrective feedback (SCF)—that is, feedback that incrementally progresses from indirect to direct during interaction—when it is provided by an LLM such as ChatGPT versus a language teacher. To address this gap, this study compared the effects of SCF, delivered by language teachers and ChatGPT, on L2 learning outcomes and student trust. Using a mixed-methods design, 40 lower-intermediate Iranian learners of English as a foreign...

Opening the blackbox of LLM-based automated essay scoring: Insights into feature weighting patterns and score validity

Manru Wang, Yihan Chen, Xiaoting Huang (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y enseñanza-aprendizaje de lenguas IA y evaluación modelos de lenguaje (LLM) estudio empírico

Resumen:

Large language models (LLMs) are increasingly used for automated essay scoring, yet their underlying scoring mechanisms remain insufficiently understood. This study systematically compared the scoring behavior of three LLMs (Qwen, GPT, and Gemini) with human raters on English essays written by non-native learners. Sixteen textual features were analyzed to compare score alignment, feature weighting, subgroup consistency, and feature interactions. Results showed strong overall alignment but distinct feature weighting patterns between the LLMs and human raters. Specifically, the LLMs placed greater emphasis on grammatical accuracy, lexical sophistication, and syntactic complexity, indicating a...

AI literacy in secondary education: framework, assessment, and professional development in the Ukrainian context

Maiia V. Marienko, Oksana M. Markova, Serhiy O. Semerikov (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y educación estudio empírico

Resumen:

The rapid proliferation of artificial intelligence tools in educational settings has created an urgent demand for AI literacy among secondary educators, yet empirical research examining this phenomenon in non-Western and crisis-affected contexts remains limited. This multi-study investigation employs a sequential explanatory mixed-methods design to examine AI literacy among Ukrainian secondary educators through national survey analysis ( n = 2018), targeted educator surveys ( n = 116), professional development evaluation ( n = 1130), and systematic mapping of European Open Science Cloud (EOSC) services. Findings reveal that while 84% of surveyed educators report AI use in professional...

A socio-technical framework for educational excellence: Empirical validation of artificial intelligence and Jidoka integration in accounting pedagogy within emerging financial markets

Wael Alrashed, Mosab Alrashed (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y educación estudio empírico

Resumen:

The focus of this research is on how AI instrumentation affects quality-assurance systems based on the concept of Jidoka within the ecosystem of accounting education in an emerging financial-market environment. The study fills a void regarding technology use beyond traditional financial-center locations by addressing an existing evidence gap. It was conducted in Kuwait, which represents an early-stage financial center (Technology Adoption Index = 0.72), and cross-sectional surveys were collected in 2021 from three groups of participants: 86 educators, 231 senior students, and 28 auditing professionals. A structural equation model (SEM) corrected for measurement error was used as the...

AI-enabled adaptive learning systems: A systematic mapping of the literature

Tumaini Kabudi, Ilias Pappas, Dag Håkon Olsen (2021)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas:
IA y aprendizaje revisión de bibliografía

Resumen:

Mobile internet, cloud computing, big data technologies, and significant breakthroughs in Artificial Intelligence (AI) have all transformed education. In recent years, there has been an emergence of more advanced AI-enabled learning systems, which are gaining traction due to their ability to deliver learning content and adapt to the individual needs of students. Yet, even though these contemporary learning systems are useful educational platforms that meet students’ needs, there is still a low number of implemented systems designed to address the concerns and problems faced by many students. Based on this perspective, a systematic mapping of the literature on AI-enabled adaptive learning...

How students’ self-assessment behavior affects their online learning performance

Albert C.M. Yang, Irene Y.L. Chen, Brendan Flanagan (2022)

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Tipo: artículo

Metodología: estudio empírico

Temas:
IA y evaluación IA y aprendizaje estudio empírico

Resumen:

Previous studies have found that the frequency and the regularity of taking the self-assessment are positively correlated with learning performance. However, as artificial intelligence is widely used for self-assessment in various educational contexts, numerous behaviors have been identified, including nonstandard behaviors that can negatively impact learning. Therefore, more analysis regarding students' self-assessment behaviors in different contexts and their influence on learning is required. In this study, we examined students’ behaviors in online self-assessment task and how it affects their learning performance. A 6-week experiment was conducted in an accounting course. Students were...