inteligencia artificial

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

There is a resonant association between the implementation of Generative Artificial Intelligence (GenAI) and students’ ability to identify, analyse, and select the best options among alternatives. Accordingly, this study examines the impact of GenAI adoption on business students' perception of their decision-making capability through the lenses of decision augmentation theory (DAT) and cognitive load theory (CLT). A survey was administered to 350 business college students in the United Arab Emirates. Using structural equation modelling, the study examined key constructs, including cognitive load reduction, information quality, and decision confidence as mediators, and GenAI trust as a...

Pre-service teachers' perceptions and intentions regarding the use of chatbots through statistical and lag sequential analysis

Tzu-Chi Yang, Jian-Hua Chen (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Chatbots provide unique interactions with compatible learning system features, improving the limitations of current learning systems. Educational chatbots are seen as the future of technology integration in the field of education. The success and usefulness of chatbots in the educational setting are highly dependent on teachers' beliefs regarding their efficacy, yet most research focuses on the effects on students' learning. Only a few studies have investigated teachers’ beliefs regarding the use of chatbots, which is considered an important issue. Owning to teachers' beliefs having been transformed from their pre-service teacher training, this study used quantitative (i.e.,...

A systematic literature review: Recent techniques of predicting STEM stream students

Norismiza Ismail, Umi Kalsom Yusof (2023)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Nowadays, fewer students are choosing to enroll in STEM (science, technology, engineering, and mathematics) fields. STEM students in schools and in higher educational institutions appear to be waning, as evidenced by low secondary school STEM enrolments. To add to this, there are also STEM stream students who dropped out and switched to non-STEM streams. This resulted in a shortage of qualified candidates for STEM-based higher education programmes, and subsequently an insufficient number of STEM graduates. Researchers have found several potential contributing factors that may have impacted students’ selection of STEM. However, this relationship is still unclear and needs further...

Improving EFL students’ cultural awareness: Reframing moral dilemmatic stories with ChatGPT

Yangsheng (Danson) Zheng, Nicola Stewart (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Classroom teachers are usually responsible for creating materials to meet students' needs and course requirements. The arrival of generative AI, such as ChatGPT, offers EFL teachers an opportunity to regularly collaborate with AI chatbots to create new source materials. The writing experiments in this study considered how to effectively and ethically work with generative AI to produce culturally appropriate EFL teaching materials. The experiments involved co-producing moral dilemmatic stories with ChatGPT to support a new Chinese EFL curriculum unit on “Morals and Virtues”. We draw on Lo's (2023a, 2023b) CLEAR framework for prompt engineering to generate appropriate stimulus materials. We...

Harnessing the power of AI-instructor collaborative grading approach: Topic-based effective grading for semi open-ended multipart questions

Phyo Yi Win Myint, Siaw Ling Lo, Yuhao Zhang (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Semi open-ended multipart questions consist of multiple sub questions within a single question, requiring students to provide certain factual information while allowing them to express their opinion within a defined context. Human grading of such questions can be tedious, constrained by the marking scheme and susceptible to the subjective judgement of instructors. The emergence of large language models (LLMs) such as ChatGPT has significantly advanced the prospect of automatic grading in educational settings. This paper introduces a topic-based grading approach that harnesses LLM capabilities alongside a refined marking scheme to ensure fair and explainable assessment processes. The...

How do ChatGPT's benefit–risk-coping paradoxes impact higher education in Taiwan and Indonesia?

Ellis Mardiana Panggabean, Andri Dayarana K. Silalahi (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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...

Are pre-service teachers ready to teach the Alpha generation? The impact of pre-service teachers' ChatGPT literacy levels on behavioral intentions toward ChatGPT-4.0

Eylem Kılıç, Firas Almasri, H. Eray Çelik (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

This study seeks to enhance our understanding of how pre-service teachers working with the Alpha Generation (PSTAG) interact with the Technology Acceptance Model (TAM) in the context of ChatGPT. It specifically examines their perceptions of ease of use (PEOU), perceived usefulness (PU), and behavioral intention (BI) toward ChatGPT-4o, utilizing an extended version of the TAM. The survey method was used, and 450 PSTAG participated in the current study. Data were collected through a survey including the ChatGPT literacy scale (ChatGPT-LS) and TAM to determine PSTAG's ChatGPT-4o literacy level and its relationship with PEOU, PU, and BI. Thirteen hypotheses are developed to test the proposed...

Optimizing automated scoring in ILSAs with prompt compression

Ji Yoon Jung, Ummugul Bezirhan, Matthias von Davier (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

Automated scoring (AS) has become increasingly prevalent in educational measurement. However, applying it to international reading assessments remains challenging, particularly due to the length and complexity of the required prompting, driven by the need to include lengthy reading passages and detailed scoring guides. Processing these lengthy inputs results in high computational costs and may impede the performance of large language models (LLMs). This study explored the potential of optimizing AS with prompt compression using OpenAI's LLM, GPT-4o. Our results show that prompt compression significantly reduces the length of reading passages and scoring guides while maintaining their...

Students’ multimodal prompting practices as epistemic work in AI literacy development

Sylvana Sofkova Hashemi (2026)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

: As generative artificial intelligence (GenAI) rapidly transforms higher education, critical questions arise about how students engage with these open-ended tools and the implications for learning. This study provides empirical insight into this research gap investigating (1) the prompting strategies students develop when interacting with a university-provided GenAI tool and (2) how engagement in prompt engineering activities shapes their understanding of GenAI and AI literacy. Data were collected in an exploratory workshop with 28 postgraduate students engaged in collaborative multimodal prompting tasks, including the creation of short stories or poems and corresponding images. Students’...

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

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...