pensamiento computacional

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Introduction: Generative AI is reshaping programming education, yet its effects on conceptual learning, intrinsic motivation, and cognitive load remain unclear. This study tests whether assistance deepens understanding or primarily boosts task completion, and how scaffolded versus answer-giving designs matter. Objectives: This study compares performance, learning, cognitive load, frustration, and motivation across three AI support types, and examines students’ perceptions. Methods: A three-arm randomized controlled trial was conducted in an introductory programming (CS1) course at TUM (N=275). Participants completed a 90-minute exercise on concurrency, implementing a parallel sum with...

AI chatbots in programming education: Students’ use in a scientific computing course and consequences for learning

Suzanne Groothuijsen, Antoine van den Beemt, Joris C. Remmers (2024)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Teaching and learning in higher education require adaptation following students' inevitable use of AI chatbots. This study contributes to the empirical literature on students' use of AI chatbots and how they influence learning. The aim of this study is to identify how to adapt programming education in higher engineering education. A mixed-methods case study was conducted of a scientific computing course in a Mechanical Engineering Master's program at a Eindhoven University of Technology in the Netherlands. Data consisted of 29 student questionnaires, a semi-structured group interview with three students, a semi-structured interview with the teacher, and 29 students' grades. Results show...

Does intrinsic motivation mediate perceived artificial intelligence (AI) learning and computational thinking of students during the COVID-19 pandemic?

José Luis Martín-Núñez, Anil Yasin Ar, Rodrigo Pérez Fernández (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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The concept of Artificial Intelligence (AI), born as the possibility of simulating the human brain's learning capabilities, quickly evolves into one of the educational technology concepts that provide tools for students to better themselves in a plethora of areas. Unlike the previous educational technology iterations, which are limited to instrumental use for providing platforms to build learning applications, AI has proposed a unique education laboratory by enabling students to explore an instrument that functions as a dynamic system of computational concepts. However, the extent of the implications of AI adaptation in modern education is yet to be explored. Motivated to fill the...

Generative AI in computing education: A systematic review and a framework for responsible integration

Arun Kumar, Thakerng Wongsirichot, Aziz Nanthaamornphong (2026)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

Context. Since late 2022, the rapid uptake of generative AI (GenAI) tools such as GitHub Copilot and ChatGPT has outpaced computing educators' evidence base for responding to it. Objective. This systematic literature review synthesises empirical evidence on four interconnected dimensions of GenAI in computing and programming education: effects on learning outcomes, student over-reliance, assessment integrity, and pedagogical adaptation. Method. Following Kitchenham and Charters (2007) guidelines and Wohlin's (2014) snowballing from seven curated seed papers, screening yielded 72 primary studies (2022–2026) from 33 venues, each was quality-assessed on a 10-item checklist (mean 8.32/10)....

Mechanisms of enhancing learning with unequal preparation: An experimental study on generative artificial intelligence use and proficiency in programming learning

Yuan Jin, Wei He, Jun Shen (2025)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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Prior learning preparation, encompassing learners' prior knowledge, resources, and readiness for learning new material, plays a critical role in a new learning process. Unequal learning preparation commonly exists among learners with varying socioeconomic and academic backgrounds, and can further exacerbate the educational divide. By reducing learning cost and providing less prepared learners with personalized delivery of information and knowledge, Generative Artificial Intelligence (GenAI) may help mitigate disparities in learning preparation. In this study, we investigate the roles of learners' use of GenAI in their learning processes, considering varying levels of learners’ prior...

The effectiveness of gamification in programming education: Evidence from a meta-analysis

Zehui Zhan, Luyao He, Yao Tong (2022)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

This paper aimed at constructing a systematic framework and examining the effect of gamification in programming education through a meta-analysis conducted on 21 empirical studies published in the last decade. We examined the effects of game types, gamification applications, pedagogical agents, programming types, and schooling levels on students' academic achievement, cognitive load, motivation, and thinking skills in programming education by cross-tabulation analysis. Results verified the positive impact of gamification in programming education. Gamification has the largest effect on students' motivation, followed by academic achievement, whereas it has the least effect on students'...

A systematic review of the impact of GenAI on learning performance, AI hallucinations, and problem-solving in computer science education

Adedeji Adefisoye Adejumo, Solomon Sunday Oyelere, Ismaila Temitayo Sanusi (2026)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial

Resumen:

This systematic review synthesizes 64 empirical studies to examine how Generative AI (GenAI) shapes learning in Computer Science Education (CSE), particularly in programming, debugging, algorithmic reasoning, and computational problem-solving contexts. Grounded in Constructivist, Sociocultural, Cognitive Load, Adaptive Learning, and Metacognitive Learning theories, the review adopts an integrative perspective to analyze how GenAI-driven adaptivity, AI output qualities, hallucination dynamics, and cognitive–affective regulation influence learners’ interpretation, cognitive processing, and learning outcomes. Findings reveal a dual impact of GenAI in CSE. On the negative side, hallucinated or...

Enhancing python learning with PyTutor: Efficacy of a ChatGPT-Based intelligent tutoring system in programming education

Albert C.M. Yang, Ji-Yang Lin, Cheng-Yan Lin (2024)

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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...

The effect of generative artificial intelligence (AI)-based tool use on students' computational thinking skills, programming self-efficacy and motivation

Ramazan Yilmaz, Fatma Gizem Karaoglan Yilmaz (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

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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...

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: 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...