Bibliografía: pensamiento computacional
Nº de publicaciones: 24Detalles Cerrar β
Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
Programming is regarded as a focal point in the current rapidly evolving educational landscape. To aid learning in this domain, we developed PyTutor, an innovative intelligent tutoring system (ITS) that is designed to assist beginners in Python programming. PyTutor utilizes the ChatGPT model to offer continuous guidance, problem-solving hints, and detailed code explanations. It features a structured hint system for each question, covering pseudocode, cloze, basic, and advanced coding solutions. In our 11-week experiment, we compared 35 students who used PyTutor with 36 students who did not. The results indicated the effectiveness of PyTutor, particularly for students with weak foundations...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
ChatGPT (generative pre-trained transformer) is one of the artificial intelligence (AI) technologies that have started to be used in programming education. However, the effect of using ChatGPT in programming education on learning processes and outcomes is not yet known. This study investigated the effect of programming education using the ChatGPT on students' computational thinking skills, programming self-efficacy, and motivation toward the lesson. The research was conducted on 45 undergraduate students who took a university-level programming course. The research was carried out according to the experimental design with the pretest-posttest control group. Students were randomly...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
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...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
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: estudio empírico
Temas: inteligencia artificial
Resumen:
Equity-oriented uses of generative artificial intelligence (GenAI) remain largely underexplored. To address the persistent gender inequities in girls’ representation and participation in computing, we present a case study of an all-girls initiative incorporating two GenAI tools in a European makerspace. We analysed qualitative, multimodal data, including 15 interviews with girls, parents, and practitioners, four reflective sessions, two observation fieldnotes, and 44 GenAI-generated images. Harding’s (1986) multi-level framework and feminist pedagogy provide critical lenses through which to examine and discuss the practice and practitioners’ reflections. Stakeholders generally expressed...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
The advent of Generative Artificial Intelligence (GenAI) and large language models like LLama, Palm2, GPT, Gemini, and Claude has revolutionized education by generating human-like text and contextually relevant responses. Our research investigates the impact of structured prompt training on students' learning in data analysis and programming. We experimented with 157 first-year engineering students divided into three groups: a control group (internet access, no GenAI), an experimental group 1 (internet and GenAI without prompt training), and an experimental group 2 (internet and GenAI with prompt training). The prompt training session included techniques like few-shot prompting, chain...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
This study aimed at developing an instructional tool for the artificial intelligence education of young students, and used learning analytics to identify the sequential learning behavioral patterns of students during the process of learning with the instructional tool. The instructional experiment took 9 weeks. The first stage of the course was 5 weeks spent on individual learning of MIT App Inventor and Personal Image Classifier. The second stage was 4 weeks spent on cooperative learning to make a robot car and play a computational thinking board game. In the second stage, the students worked in pairs to make the robot car. Finally, they played the computational thinking board game with...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
This paper introduces the design and development of a framework that integrates a large language model (LLM) with a retrieval-augmented generation (RAG) approach leveraging both a knowledge graph and user interaction history. The framework is incorporated into a previously developed adaptive learning support system to assess learners’ code, generate formative feedback, and recommend exercises. Moreover, this study examines learner preferences across three instructional modes: adaptive, Generative AI (GenAI), and hybrid GenAI–adaptive. An experimental study was conducted to compare the learning performance and perception of the learners, and the effectiveness of these three modes using four...
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Tipo: artículo
Metodología: estudio empírico
Temas: inteligencia artificial
Resumen:
The rapid growth of artificial intelligence (AI) technology has changed lifestyles, work patterns, and educational approaches. However, courses that can guide students through the practical applications of AI technology are still scarce in K-12 education. This study aimed to develop a project-based machine learning (ML) course for the implementation of AI technology. The core idea of this course, which focused on the supervised learning of AI ML technology, was designed based on the project of weather prediction. Furthermore, data collection and status display were realized using various hardware devices such as Arduino and sensors, whereas ML algorithms were implemented in Python...
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Tipo: artículo
Metodología: revisión bibliográfica
Temas: inteligencia artificial
Resumen:
Computational thinking (CT) skills are crucial to teach. The rise of Generative AI could potentially revolutionize the teaching of these skills by changing learning experiences and outcomes. Educators are rapidly integrating these tools into their educational activities; however, the best practices for doing so remain unclear. Existing reviews on GenAI are either too broad in regards to studying specific tools such as ChatGPT for learning, or too limited in terms of studying computational thinking with a focus on programming. As such, this paper aims to summarize existing knowledge and extract best practices and avenues for future research and practice around GenAI and computational...
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