estudio empírico

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT educación superior

Temas IA: chatGPT estudio empírico

Resumen:

The integration of ChatGPT into higher education in Taiwan and Indonesia presents both opportunities and challenges. This integration creates a paradox of benefits and risks that must be carefully managed. While previous studies have explored ChatGPT's applications, its complexities in educational contexts remain partially unaddressed. This study bridges that gap by integrating the Unified Theory of Acceptance and Use of Technology (UTAUT) with Protection Motivation Theory (PMT) to examine ChatGPT's role through a benefit–risk–coping mechanism. Data were collected from higher education users in Taiwan and Indonesia. Structural Equation Modeling (SEM) revealed distinct patterns in the two...

Appraisal of high-stake examinations during SARS-CoV-2 emergency with responsible and transparent AI: Evidence of fair and detrimental assessment

MD. Rayhan, MD. Golam Rabiul Alam, M. Ali Akber Dewan (2022)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación ética

Temas IA: IA y evaluación ética de la IA estudio empírico

Resumen:

In situations like the coronavirus pandemic, colleges and universities are forced to limit their offline and regular academic activities. Extended postponement of high-stakes exams due to health risk hereby reduces productivity and progress in later years. Several countries decided to organize the exams online. Since many other countries with large education boards had an inadequate infrastructure and insufficient resources during the emergency, education policy experts considered a solution to simultaneously protect public health and fully resume high-stakes exams -by canceling offline exam and introducing a uniform assessment process to be followed across the states and education boards....

Beyond binary outcomes: Evaluating and mitigating bias in national standardized test score prediction

Lin Li, Namrata Srivatava, Jia Rong (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ética inclusión y equidad

Temas IA: ética de la IA estudio empírico

Resumen:

Predictive analytics in education holds promise for supporting student learning but poses risks of bias potentially disadvantaging certain groups based on demographic attributes such as gender. Prior work on fairness in educational prediction has largely focused on binary outcomes in higher education, leaving continuous predictions, such as standardized test scores, comparatively understudied, especially in early schooling where consequences can be long-lasting. Despite a few fairness metrics available for continuous outcomes, they often rely on mean differences, obscuring distributional disparities that may disadvantage specific students. Even fewer studies have attempted to address bias...

Role of activity-based learning and ChatGPT on students' performance in education

Tamara Al Shloul, Tehseen Mazhar, Qamar Abbas (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT innovación educativa

Temas IA: chatGPT IA y aprendizaje estudio empírico

Resumen:

Purpose: This study investigates the impact of activity-based learning and the utilization of ChatGPT on students' academic performance within the educational framework. Objectives: The study aims to assess the effectiveness of activity-based learning in comparison to traditional methods, while also evaluating the potential benefits and drawbacks of integrating ChatGPT as an educational tool. Methods: The study employs a comparative approach, analyzing the outcomes of students exposed to activity-based learning versus those using conventional methods. Additionally, the study examines the usage of ChatGPT in education through surveys and trials to determine its contribution to personalized...

Exploring social and computer science students’ perceptions of AI integration in (foreign) language instruction

Kosta Dolenc, Mihaela Brumen (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial enseñanza/aprendizaje de lenguas creencias y actitudes de los estudiantes

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

Resumen:

Artificial intelligence (AI) has gained acceptance in the field of education. Nevertheless, existing research on AI in education, particularly in foreign language (FL) learning and teaching, is notably limited in scope and depth. In the present study, we addressed this research gap by investigating social and computer science students' perceptions of the integration and use of AI-based technologies in education, focusing specifically on foreign language teaching. Using an online questionnaire, we analysed factors such as students' field of study, gender differences, and the type of AI used. The questionnaire included statements categorised into thematic clusters, with responses measured on...

Can large language models meet the challenge of generating school-level questions?

Subhankar Maity, Aniket Deroy, Sudeshna Sarkar (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial grandes modelos de lenguaje creación de materiales

Temas IA: IA y creación de materiales modelos de lenguaje (LLM) prompts

Resumen:

In the realm of education, crafting appropriate questions for examinations is a meticulous and time-consuming task that is crucial for assessing students' understanding of the subject matter. This paper explores the potential of leveraging large language models (LLMs) to automate question generation in the educational domain. Specifically, we focus on generating educational questions from contexts extracted from school-level textbooks. Our study aims to prompt LLMs such as GPT-4 Turbo, GPT-3.5 Turbo, Llama-2-70B, Llama-3.1-405B, and Gemini Pro to generate a complete set of questions for each context, potentially streamlining the question generation process for educators. We performed a...

Enhancing student reflections with natural language processing based scaffolding: A quasi-experimental study in a large lecture course

Muhsin Menekse, Alfa Satya Putra, Jiwon Kim (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial andamiaje/scaffolding metacognición

Temas IA: IA y aprendizaje estudio empírico

Resumen:

Multiple studies have shown that scaffolding plays an important role in regulating and enhancing students' metacognitive monitoring and reflections. However, scaffolding students' reflections in large courses is a major challenge. In the current study, we explored how real-time, technology-enhanced scaffolding affects the quality of students' reflections and academic performance. Two major research questions are: RQ1) Do students in the scaffolding condition construct more specific reflections than those in the non-scaffolding condition? RQ2) How do the scaffolding feature, reflection specificity, and the number of reflections relate to students' academic performance? To address these...

Lower secondary students’ poetry writing with the AI-based Poetry Machine

Arja Kangasharju, Liisa Ilomäki, Minna Lakkala (2022)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial escritura creativa expresión escrita

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

Resumen:

Despite poetry’s important role in improving linguistic skills and creative thinking, students often find poetry writing to be difficult and boring. This study is an investigation of how the digital Poetry Machine influences students’ poetry writing by applying AI techniques. It uses qualitative and quantitative analysis of the log data of poems that the seventh graders wrote with the Poetry Machine. The results show that the draft poems functioned as affordances, which the students followed as models. The drafts encouraged students to experiment with several different poetic features. The data suggest an association between the number of edited versions and the quality of the final poem....

A framework for evaluation of large language models in essay assessment: Reliability, alignment, and causal reasoning

Tongxi Liu, Luyao Ye, Wei Yan (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial expresión escrita evaluación

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

Resumen:

Recent advances in large language models have revitalized research on automated essay evaluation, yet critical concerns remain regarding their reliability, validity, and interpretability. This study presents a comparative analysis of five LLMs (GPT-4.1, Llama 4 Maverick, Gemini 2.5 Flash, Claude Sonnet 4, and DeepSeek R1) in the assessment of long English essays authored by non-native speakers in higher education. The analysis draws on LLM-generated scores for 60 essays to examine (a) intra-model reliability across repeated scoring runs, (b) the degree of alignment between model outputs and expert human ratings, and (c) causal feature dependencies that clarify how linguistic characteristics...

Investigating undergraduate students' perceptions and awareness of using ChatGPT as a regular assistance tool: A user acceptance perspective study

Hayder Albayati (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT educación superior

Temas IA: chatGPT estudio empírico

Resumen:

This study examines the factors influencing user acceptance of ChatGPT as a daily reference tool and assesses varying levels of user awareness. It aims to offer valuable insights into the potential benefits and challenges of implementing ChatGPT in an educational context. To achieve this objective, we employ an integrated model comprising the Technology Acceptance Model (TAM) and four novel external constructs: Privacy, Security, Social Influence, and Trust. This proposed model delivers an in-depth understanding of user acceptance by simultaneously measuring diverse user perspectives. Adopting a quantitative research approach, the study surveys undergraduate students regarding their use of...