Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial creencias y actitudes de los profesores profesorado

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Although computerized expert models (i.e., algorithms) could improve educational decisions and judgments, initial research has demonstrated that teachers, like other professional groups, tend to be “algorithm averse.” In the current study, we use behavioral and questionnaire data to examine the extent to which in-service and pre-service (i.e., students in training to become) teachers accept advice from expert models and investigate how teachers' acceptance of expert models could be improved. Although it is often presumed that younger generations are less algorithm averse, we demonstrate that both in-service and pre-service teachers prefer advice from a human source (school counselor) than...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ética alfabetización en IA

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Although there is growing attention to artificial intelligence (AI) ethics education with the rapid surge of AI technology, little research has explored the use of problem-solving to cultivate students' AI ethical awareness. To address this gap, this study developed a scale to multidimensionally measure AI ethical awareness and cultivated students' AI ethical awareness through problem-solving using AI tools within an AI literacy course. A total of 573 Hong Kong secondary and university students participated in a 14-h course. Data was collected through the AI Ethical Awareness Scale (AIEAS) questionnaire and students' self-reflective writings. The AIEAS framework, encompassing three...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial pensamiento computacional multimodalidad

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Multimodal video analysis is a complex and time-consuming process for a researcher; it entails capturing, watching, and re-watching video data to identify which segments best inform or address the questions that drive the research. Modern AI applications can alleviate the challenges that arise during the fine-grained analysis of learners' multimodal interactions captured through video. In this study, we present a supervised approach to training a deep neural network to analyze children's computational thinking (CT) captured through multimodal video data. The approach first uses a set of images extracted from video data to train the AI to map them to labels generated using a priori theory....

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial ética analítica del aprendizaje

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Despite significant advancements in AI-driven educational systems and ongoing calls for responsible AI for education, several critical issues remain unresolved—acting as elephant in the room within AI in education, learning analytics, educational data mining, learning sciences, and educational psychology communities. This critical analysis identifies and examines nine persistent challenges across the conceptual, methodological, and ethical dimensions that continue to undermine the fairness, transparency, and effectiveness of current AI methods and applications in education. These include: 1) the lack of clarity around what AI for education truly means—often ignoring the distinct purposes,...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial educación superior andamiaje/scaffolding

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Undergraduate thesis completion in STEM education is often constrained by limited timeframes, insufficient training, and the difficulty of navigating unstructured scientific literature. This study describes the design and evaluation of an AI-powered information extraction system that converts research publications into structured, traceable, and comparable datasets to support literature-driven comparison. The system is positioned as an epistemic scaffold that enables the inspection of evidence claim relationships through source traceability and structured comparisons while reducing low-level data-handling demands. A mixed-methods pilot study was conducted with 20 undergraduates from four...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA competencia digital

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Intelligent voice assistants (IVAs) such as Alexa or Siri are voice-based AI systems that support users in various tasks with simple voice commands, making everyday life easier. However, users tend to have only a superficial understanding of the technological functionality of IVAs, leading to misconceptions and usage risks. To foster a self-determined interaction with IVAs, developing specific AI-related competencies, such as a comprehensive functional understanding, is essential. Three online training modules were developed based on learning psychology and media didactics principles to deepen the functional understanding of IVAs and empower self-determined use. In total, 180 participants...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT educación superior

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AI-based language tools such as ChatGPT have the potential to fundamentally change studying and teaching at universities. Since there have been few empirical studies on the use of AI systems by students, this article aims to analyze the use of AI in higher education. In particular, it focuses on identifying features that are important to students when using AI during their studies. For this purpose, a choice-based conjoint experiment was conducted through a survey involving over 6300 participants from German universities. The results show that students attach particular importance to the degree of scientific rigor. The optimal package for an AI-based tool for studying includes the citation...

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial competencia digital alfabetización en IA

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Advances in artificial intelligence (AI) have raised debate regarding whether the existing digital literacy frameworks are outdated and have called for developing new frameworks to keep pace with the growing adoption of AI technologies. Drawing on an ecological perspective and analyzing 80 validated frameworks (69 digital literacy and 11 AI literacy) published between January 2014 and February 2025, this study explored the variation in digital literacy frameworks by comparing and contrasting their sub-dimensions, identified the commonalities and differences, using DigComp 2.2 as a reference, across developing and developed regions, and evaluated the influences of AI technologies on updating...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial ChatGPT educación superior

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ChatGPT has diffused widely and rapidly, with diverse positive and negative implications. In educational settings it is important to understand students' perceptions of the acceptability of ChatGPT for various learning activities and to examine whether prior digital divide concerns pertain to this digital innovation, in order to provide guidance for users, inform policymakers and other stakeholders, and extend digital divide research. The purpose is to investigate the associations of socioeconomic status (SES, both family and student), gender, and race/ethnicity with students’ perceived acceptability of common ChatGPT activities as well as their opinion about how beneficial ChatGPT is for...

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial analítica del aprendizaje educación superior

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The applications of artificial intelligence in education have increased in recent years. However, further conceptual and methodological understanding is needed to advance the systematic implementation of these approaches. The first objective of this study is to test a systematic procedure for implementing artificial neural networks to predict academic performance in higher education. The second objective is to analyze the importance of several well-known predictors of academic performance in higher education. The sample included 162,030 students of both genders from private and public universities in Colombia. The findings suggest that it is possible to systematically implement artificial...

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