Quantum Readiness in Latin American High Schools: Curriculum Compatibility and Enabling Conditions

• URL: http://arxiv.org/abs/2512.16257v1
• Date: Thu, 18 Dec 2025 07:12:36 GMT
• Title: Quantum Readiness in Latin American High Schools: Curriculum Compatibility and Enabling Conditions
• Authors: Adriana Celeste Alvarado Leon, Osmar Denilson Herrera Cueva, Rosario Mercedes Morales Orvezo, Daniella Alexandra Crysti Vargas Saldana, Freddy Herrera Cueva,
• Abstract summary: There is no consolidated, region wide integration of quantum computing into secondary education in Latin America.<n>This paper proposes a qualitative, comparative framework to assess academic readiness for quantum education across six countries.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The accelerating global development of quantum technologies strengthens the case for introducing quantum computing concepts before university. Yet in Latin America, there is no consolidated, region wide integration of quantum computing into secondary education, and the feasibility conditions for doing so remain largely unexamined. This paper proposes a qualitative, comparative framework to assess academic readiness for quantum education across six countries - Peru, Bolivia, Chile, Argentina, Brazil, and Colombia - grounded in the relationship between curriculum compatibility and enabling conditions spanning institutional capacity, teacher preparation, infrastructure, and equity. Using official curricula, policy documents, national statistics, and educational reports, we apply structured qualitative coding and a 1-5 ordinal scoring system to generate a cross country diagnosis. The findings reveal substantial regional asymmetries: among the six countries studied, Chile emerges as the most institutionally prepared for progressive quantum education integration, while the remaining countries exhibit varying combinations of curricular gaps and fragmented but promising enabling conditions. Building on this diagnosis, we propose a country sensitive, regionally coordinated roadmap for staged implementation, beginning with teacher development and pilot centers, leveraging open source platforms and local language resources, and scaling toward gradual curricular integration. This work establishes a baseline for future quantitative and mixed method studies evaluating learning outcomes, motivation, and scalable models for quantum education in Latin America.

Related papers

• Challenging the Abilities of Large Language Models in Italian: a Community Initiative [63.94242079171895]
  "Challenging the Abilities of LAnguage Models in ITAlian" (CALAMITA) is a large-scale collaborative benchmarking initiative for Italian.<n>It federates more than 80 contributors from academia, industry, and the public sector to design, document, and evaluate a diverse collection of tasks.<n>We report results for four open-weight LLMs, highlighting systematic strengths and weaknesses across abilities.
  arXiv  Detail & Related papers  (2025-12-04T12:50:29Z)
• Quantum Annealing for Staff Scheduling in Educational Environments [0.13764085113103217]
  We address a novel staff allocation problem that arises in the organization of collaborators among multiple school sites and educational levels.<n>The problem emerges from a real case study in a public school in Calabria, Italy, where staff members must be distributed across kindergartens, primary, and secondary schools under constraints of availability, competencies, and fairness.
  arXiv  Detail & Related papers  (2025-10-14T08:29:58Z)
• Quantum-enhanced Computer Vision: Going Beyond Classical Algorithms [50.573955644831386]
  Quantum-enhanced Computer Vision (QeCV) is a new research field at the intersection of computer vision, machine learning and quantum computing.<n>It has high potential to transform how visual signals are processed and interpreted with the help of quantum computing.<n>This survey contributes to the existing literature on QeCV with a holistic review of this research field.
  arXiv  Detail & Related papers  (2025-10-08T17:59:51Z)
• Introducing Quantum Computing to High-School Curricula: A Global Perspective [0.0]
  Quantum computing is an emerging field with growing implications across science and industry.<n>This paper examines how quantum computing concepts can be introduced into high-school STEM curricula.
  arXiv  Detail & Related papers  (2025-05-20T18:16:33Z)
• First Steps towards K-12 Computer Science Education in Portugal -- Experience Report [49.1574468325115]
  This paper reports on the efforts of the ENSICO association to implement such aims in Portugal. Starting with pilot projects in a few schools in 2020, it is currently working with 4500 students, 35 schools and 100 school teachers. The main aim is to gain enough experience and knowledge to eventually define a comprehensive syllabus for teaching computing as a mandatory subject.
  arXiv  Detail & Related papers  (2024-11-15T12:32:52Z)
• Quantum Computing Education in Latin America: Experiences and Strategies [0.0]
  Quantum computing is a rapidly advancing field with the potential to drive scientific, educational, and technological development.<n>It faces a significant shortage of qualified experts, creating an urgent demand for skilled professionals.<n>In Latin America, quantum education remains in its early stages, further widening the regional talent and access gap due to limited educational infrastructure and financial constraints.
  arXiv  Detail & Related papers  (2024-10-23T22:32:43Z)
• Inequalities in Computational Thinking Among Incoming Students in an STEM Chilean University [1.2549535267918006]
  This article characterizes the computational thinking abilities of incoming students at a Chilean university with a strong emphasis on STEM disciplines. Based on more than 500 responses, this study provides evidence of significant inequalities in computational thinking across gender, type of school (private or no), and prior programming knowledge. The findings can enlighten upcoming research endeavors and formulate strategies to create a more equitable field for students entering STEM degrees in nations facing similar circumstances.
  arXiv  Detail & Related papers  (2024-07-22T17:51:15Z)
• LLaMA Beyond English: An Empirical Study on Language Capability Transfer [49.298360366468934]
  We focus on how to effectively transfer the capabilities of language generation and following instructions to a non-English language. We analyze the impact of key factors such as vocabulary extension, further pretraining, and instruction tuning on transfer. We employ four widely used standardized testing benchmarks: C-Eval, MMLU, AGI-Eval, and GAOKAO-Bench.
  arXiv  Detail & Related papers  (2024-01-02T06:29:02Z)
• Introductory quantum information science coursework at US institutions: Content coverage [0.0]
  We identify content items common across a large fraction of introductory QISE courses that are potentially amenable to research-based curriculum development. As a further guide for curriculum development, we also examine differences in content coverage by level (undergraduate/graduate) and discipline. Finally, we briefly discuss the implications of our findings for the development of a research-based QISE assessment at the postsecondary level.
  arXiv  Detail & Related papers  (2023-08-24T17:06:48Z)
• C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models [58.42279750824907]
  We present C-Eval, the first comprehensive Chinese evaluation suite designed to assess advanced knowledge and reasoning abilities of foundation models in a Chinese context. C-Eval comprises multiple-choice questions across four difficulty levels: middle school, high school, college, and professional. We conduct a comprehensive evaluation of the most advanced LLMs on C-Eval, including both English- and Chinese-oriented models.
  arXiv  Detail & Related papers  (2023-05-15T03:20:19Z)
• When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing [75.75419308975746]
  This work proposes a vertical federated learning architecture based on variational quantum circuits to demonstrate the competitive performance of a quantum-enhanced pre-trained BERT model for text classification. Our experiments on intent classification show that our proposed BERT-QTC model attains competitive experimental results in the Snips and ATIS spoken language datasets.
  arXiv  Detail & Related papers  (2022-02-17T09:55:21Z)
• IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages [87.5457337866383]
  We introduce the Image-Grounded Language Understanding Evaluation benchmark. IGLUE brings together visual question answering, cross-modal retrieval, grounded reasoning, and grounded entailment tasks across 20 diverse languages. We find that translate-test transfer is superior to zero-shot transfer and that few-shot learning is hard to harness for many tasks.
  arXiv  Detail & Related papers  (2022-01-27T18:53:22Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.