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Enhancing Programming Education with an Active Learning Plan and Artificial Intelligence Integration


Artificial Intelligence (AI) is transforming higher education, bringing challenges and opportunities. Thus, instilling skills to leverage AI effectively and equip students for the future workforce is crucial. This requires a shift from traditional pedagogical methods toward active learning emphasizing problem-solving, collaborative work, and the integration of AI tools. The proposed Active Learning Plan (ALP) addresses these imperatives. This plan encompasses research, problem-solving, pseudocode validation using AI tools such as ChatGPT, thorough code documentation, group collaboration, and evaluation. The ALP delves into the interplay between AI and higher education, and it challenges students to derive manual solutions, draft pseudocode, document it, and subsequently validate it through ChatGPT. Moreover, it fosters collaboration by encouraging the formation of groups of five to craft questionnaires on the core topic, which are later used for learning assessment. It is paramount for students to reflect on their experience, pinpointing strengths, weaknesses, and areas for improvement. The adopted methodology emphasizes problem-solving and collaboration and allows students to engage with cutting-edge technologies, acquiring pivotal skills. The assessment of this approach was based on the Cronbach's alpha coefficient, yielding a value of 1.99016, indicating significant internal consistency. Upon analyzing the outcomes, 74% surpassed the score of 4.1, 18% passed, and only 8% failed to meet the minimum requirement. The deployment of this ALP proves to be an efficient instrument in readying students for an ever-evolving job market.


Programming learning, Hybrid learning, Artificial intelligence and programming, learning and artificial intelligence, active programming learning


Author Biography

Ariel-Adolfo Rodríguez-Hernández

Profesional en Ingeniería de Sistemas, Experto en Formación en Tutoría Virtual, Magister en Software Libre con énfasis en administración Web  y sistemas de comercio electrónico. Magister en Gestión Pedagógica.


Investigador Junior reconocido por Colciencias; con experiencia de cinco años en docencia y dirección de trabajos de grado a nivel posgradual en maestrías y especializaciones en áreas de informática, TIC y tecnología.  


Experiencia en docencia en pregrado en áreas de ingeniera de sistemas y TIC en programas presenciales, en e-learning y a distancia. Habilidades en manejo y administración de plataformas y entornos aprendizaje en línea.  Diseño de rubricas y acompañamiento tutorial en línea.


Experiencia en coordinación de proyectos de investigación y en consultoría en modernización tecnológica e incorporación de TIC en educación superior; en diseño y desarrollo de software.


Experiencia en dirección y administración de programas de investigación, extensión y docencia, coordinando equipos de trabajo orientados al cumplimiento de objetivos, direccionando estratégicamente centros de investigación y escuelas de pregrado. Dirigiendo procesos de diseño de programas de educación superior.


Par evaluador de Colciencias, Ministerio de Educación Nacional y de revistas científicas. Director del grupo de investigación  TICA: Tecnología, Investigación y Ciencia Aplicada. Conferencista a nivel nacional e internacional en temas de TIC e  e-learning.


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