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Open research questions in Scientific Research and Technology

85 gap statements mined from Scientific Research and Technology papers in our 4.5M-paper local library, which holds 268 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • The study is limited to a review of recent literature on AI in software engineering. The analysis is based on a systematic review of 38 studies, which may not be representative of the entire field. The study does not provide a comprehensive evaluation of the security, interpretability, and dependence on technology associated with the use of AI in software engineering.

    Estado del Arte de la Ingeniería de Software Basada en Inteligencia Artificial · 2026 · DOI

  • There is a need for further research on the implications of AI for the software engineering field, including its impact on productivity, quality, and the role of the engineer.

    Estado del Arte de la Ingeniería de Software Basada en Inteligencia Artificial · 2026 · DOI

  • The lack of teacher training is a major ethical challenge. The dependence on technology is a major ethical challenge. The development of AI literacy in teachers and students is a major challenge.

    Desafíos éticos y alfabetización en Inteligencia Artificial en el currículo de Bachillerato: Una revisión sistemática · 2026 · DOI

  • The challenges are the lack of teacher training and the resistance to change. The study identifies the need for educational institutions to invest in AI and active methodologies. The paper highlights the importance of addressing the challenges of educational innovation.

    Formación Docente para la Integración Pedagógica de la Inteligencia Artificial y Metodologías Activas en las Universidades: Una Revisión Sistemática · 2026 · DOI

  • Future research should focus on the development of teacher training programs. The study suggests that future research should investigate the impact of AI and active methodologies on student outcomes. The paper recommends that future research should explore the use of AI and active methodologies in other educational contexts.

    Formación Docente para la Integración Pedagógica de la Inteligencia Artificial y Metodologías Activas en las Universidades: Una Revisión Sistemática · 2026 · DOI

  • The potential of generative AI to increase the digital divide in education, - The need to ensure academic integrity in the use of generative AI.

    Uso de inteligencia artificial generativa y percepción de autoría académica en estudiantes universitarios · 2026 · DOI

  • The lack of empirical studies on the relationship between generative AI and academic authorship. The need to examine the impact of generative AI on the construction of responsible academic practices.

    Uso de inteligencia artificial generativa y percepción de autoría académica en estudiantes universitarios · 2026 · DOI

  • Future studies should evaluate the long-term effects of using the AIAS-4 scale. Future studies should explore the use of the AIAS-4 scale in other educational contexts. Future studies should investigate the relationship between teachers' attitudes toward artificial intelligence and their pedagogical practices.

    Traducción, adaptación y validación de la Escala AIAS-4 de actitudes hacia la Inteligencia Artificial en las Ciencias del Deporte · 2026 · DOI

  • The study highlights the need for further research on the potential of artificial intelligence to promote personalized learning.

    Transformación del aprendizaje universitario en la Educación 5.0: inteligencia artificial, humanismo y nuevas dinámicas educativas · 2026 · DOI

  • Future research should explore the perceptions of students and other stakeholders regarding the use of AI in education. Future research should investigate the impact of AI on teaching and learning processes in different educational settings. Future research should develop and test ethical guidelines and teacher training programs for the responsible use of AI in education.

    Percepción docente del impacto ético y académico de la inteligencia artificial en la docencia en ciencias de la salud: caso Universidad Católica de Cuenca sede Azogues durante el 2026. · 2026 · DOI

  • There is a need to understand how students perceive and use AI in the educational context.

    Retos del docente para incorporar la Inteligencia Artificial considerando el uso que le dan los estudiantes · 2026 · DOI

  • The study faced challenges in terms of the limited sample size and the lack of control over other variables that may have influenced the results. The use of Gen AI requires strategic planning, teacher training, and adequate institutional conditions.

    La inteligencia artificial generativa y el desarrollo de la comprensión lectora en estudiantes de Educación General Básica · 2026 · DOI

  • There is a need to investigate the perception of artificial intelligence integration in the teaching and learning process. The study aims to fill the gap by analyzing the perception of artificial intelligence among students and identifying challenges related to its implementation.

    Percepción docente sobre la integración de la inteligencia artificial y su impacto en el proceso de enseñanza-aprendizaje · 2026 · DOI

  • The literature review reveals a need for critical literacy and participatory governance in the integration of AI in higher education.

    La inteligencia artificial como mediadora del aprendizaje universitario: promesas, tensiones y horizontes · 2026 · DOI

  • The study highlights the need for critical evaluation of the use of artificial intelligence in education. The paper emphasizes the importance of human supervision and educational justice criteria in the integration of artificial intelligence.

    Competencias docentes para integrar inteligencia artificial con criterios éticos e inclusivos · 2026 · DOI

  • The existing research has highlighted the importance of teacher literacy in artificial intelligence, ethical competence, and inclusive competence, but there is a need for a comprehensive review of the state of knowledge on the topic. The study aims to fill this gap by providing a comprehensive review of the literature.

    Competencias docentes para integrar inteligencia artificial con criterios éticos e inclusivos · 2026 · DOI

  • The use of AI in teacher training is limited and fragmented. There is a lack of studies analyzing the impact of AI on digital competence in teacher training.

    Percepciones y usos de la inteligencia artificial en la formación inicial docente: estudio cuasiexperimental en estudiantes de educación preescolar · 2026 · DOI

  • There is a need to investigate the relationship between artificial intelligence and meaningful learning in basic education students.

    Aprendizaje significativo y uso de inteligencia artificial en estudiantes de educación básica · 2026 · DOI

  • Server disruptions and limited storage capacity are challenges that still need to be addressed. The SRIKANDI V3 application still has limitations in terms of letter monitoring. The system only displays delivery notifications without a feature for confirmation of receipt by the intended recipient.

    Management System Record at Kantor wilayah Kementerian Agama Provinsi Jawa Timur · 2026 · DOI

  • The sample size was limited to 303 sports science teachers. The study did not evaluate the long-term effects of using the AIAS-4 scale.

    Traducción, adaptación y validación de la Escala AIAS-4 de actitudes hacia la Inteligencia Artificial en las Ciencias del Deporte · 2026 · DOI

  • The sample size was limited to 101 teachers. The study did not explore the perceptions of students or other stakeholders.

    Percepción docente del impacto ético y académico de la inteligencia artificial en la docencia en ciencias de la salud: caso Universidad Católica de Cuenca sede Azogues durante el 2026. · 2026 · DOI

  • The sample size was limited to 42 students. The study did not control for other variables that may have influenced the results.

    La inteligencia artificial generativa y el desarrollo de la comprensión lectora en estudiantes de Educación General Básica · 2026 · DOI

  • The incorporation of AI in schools generates new questions and challenges. Teachers experience gaps in motivation and difficulties in using AI.

    Retos del docente para incorporar la Inteligencia Artificial considerando el uso que le dan los estudiantes · 2026 · DOI

  • Existen limitaciones por la falta de conocimiento práctico sobre herramientas que permitan interactuar de manera efectiva con modelos de…

    Prompts para la asistencia de Inteligencia Artificial en el proceso de planificación para docentes de Educación General Básica · 2026 · DOI

  • A incorporação da Inteligência Artificial na educação ainda apresenta desafios relevantes. A formação de professores é um desafio. A infraestrutura tecnológica é um desafio.

    EDUCAÇÃO, TECNOLOGIA E FLEXIBILIZAÇÃO PEDAGÓGICA: O PAPEL DA INTELIGÊNCIA ARTIFICIAL NA TRANSFORMAÇÃO DOS PROCESSOS DE ENSINO-APRENDIZAGEM CONTEMPORÂNEOS · 2026 · DOI

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Open questions raised by papers listed on this page include: (1) There is a need for further research on the implications of AI for the software engineering field, including its impact on productivity, quality, and the role of the engineer (“Estado del Arte de la Ingeniería de Software Basada en Inteligencia Artificial”, 2026); (2) The challenges are the lack of teacher training and the resistance to change (“Formación Docente para la Integración Pedagógica de la Inteligencia Artificial…”, 2026); (3) The lack of empirical studies on the relationship between generative AI and academic authorship (“Uso de inteligencia artificial generativa y percepción de autoría académica en…”, 2026); (4) Future studies should evaluate the long-term effects of using the AIAS-4 scale (“Traducción, adaptación y validación de la Escala AIAS-4 de actitudes hacia la…”, 2026); (5) Future research should explore the perceptions of students and other stakeholders regarding the use of AI in education (“Percepción docente del impacto ético y académico de la inteligencia artificial…”, 2026). 85 gap statements have been mined from Scientific Research and Technology papers in our 4.5M-paper local library, which holds 268 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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