The virtual CAT: A tool for algorithmic thinking assessment in Swiss compulsory education

• URL: http://arxiv.org/abs/2408.01263v2
• Date: Tue, 27 Aug 2024 16:02:48 GMT
• Title: The virtual CAT: A tool for algorithmic thinking assessment in Swiss compulsory education
• Authors: Giorgia Adorni, Alberto Piatti,
• Abstract summary: This paper introduces the virtual Cross Array Task (CAT), a digital adaptation of an unplugged assessment activity designed to evaluate algorithmic skills in Swiss compulsory education. The platform offers scalable and automated assessment, reducing human involvement and mitigating potential data collection errors. The findings show the platform's usability, proficiency and suitability for assessing AT skills among students of diverse ages, development stages, and educational backgrounds.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In today's digital era, holding algorithmic thinking (AT) skills is crucial, not only in computer science-related fields. These abilities enable individuals to break down complex problems into more manageable steps and create a sequence of actions to solve them. To address the increasing demand for AT assessments in educational settings and the limitations of current methods, this paper introduces the virtual Cross Array Task (CAT), a digital adaptation of an unplugged assessment activity designed to evaluate algorithmic skills in Swiss compulsory education. This tool offers scalable and automated assessment, reducing human involvement and mitigating potential data collection errors. The platform features gesture-based and visual block-based programming interfaces, ensuring its usability for diverse learners, further supported by multilingual capabilities. To evaluate the virtual CAT platform, we conducted a pilot evaluation in Switzerland involving a heterogeneous group of students. The findings show the platform's usability, proficiency and suitability for assessing AT skills among students of diverse ages, development stages, and educational backgrounds, as well as the feasibility of large-scale data collection.

Related papers

• A Structured Unplugged Approach for Foundational AI Literacy in Primary Education [7.495145157323768]
  We propose a structured teaching approach that fosters foundational AI literacy in primary students.<n>Our results indicate improvements in terminology understanding and usage, features description, logical reasoning, and evaluative skills.<n>The approach proved engaging, with students particularly enjoying activities that linked AI concepts to real-world reasoning.
  arXiv  Detail & Related papers  (2025-05-27T16:23:57Z)
• Form-Substance Discrimination: Concept, Cognition, and Pedagogy [55.2480439325792]
  This paper examines form-substance discrimination as an essential learning outcome for curriculum development in higher education. We propose practical strategies for fostering this ability through curriculum design, assessment practices, and explicit instruction.
  arXiv  Detail & Related papers  (2025-04-01T04:15:56Z)
• Towards an intelligent assessment system for evaluating the development of algorithmic thinking skills: An exploratory study in Swiss compulsory schools [0.0]
  This study aims to develop a comprehensive framework for large-scale assessment of CT skills, particularly focusing on AT, the ability to design algorithms. We first developed a competence model capturing the situated and developmental nature of CT, guiding the design of activities tailored to cognitive abilities, age, and context. We developed an activity for large-scale assessment of AT skills, offered in two variants: one based on non-digital artefacts (unplugged) and manual expert assessment, and the other based on digital artefacts (virtual) and automatic assessment.
  arXiv  Detail & Related papers  (2025-03-27T13:34:36Z)
• Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset [94.13848736705575]
  We introduce Facial Identity Unlearning Benchmark (FIUBench), a novel VLM unlearning benchmark designed to robustly evaluate the effectiveness of unlearning algorithms. We apply a two-stage evaluation pipeline that is designed to precisely control the sources of information and their exposure levels. Through the evaluation of four baseline VLM unlearning algorithms within FIUBench, we find that all methods remain limited in their unlearning performance.
  arXiv  Detail & Related papers  (2024-11-05T23:26:10Z)
• Revolutionising Role-Playing Games with ChatGPT [0.0]
  The aim of the study was to analyse the impact of AI-based simulations on students' learning experience. Based on Vygotsky's sociocultural theory, ChatGPT was used to give students a deeper understanding of strategic decision-making processes.
  arXiv  Detail & Related papers  (2024-07-02T08:21:40Z)
• A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning [51.7818820745221]
  Underwater image enhancement (UIE) presents a significant challenge within computer vision research. Despite the development of numerous UIE algorithms, a thorough and systematic review is still absent.
  arXiv  Detail & Related papers  (2024-05-30T04:46:40Z)
• Tailoring Education with GenAI: A New Horizon in Lesson Planning [0.21427777919040414]
  This study introduces a GenAI tool, designed as a digital assistant for educators, enabling the creation of customized lesson plans. The tool utilizes an innovative feature termed 'interactive mega-prompt,' a comprehensive query system that allows educators to input detailed classroom specifics. To evaluate the tool's effectiveness, a comprehensive methodology incorporating both quantitative (i.e., % of time savings) and qualitative (i.e., user satisfaction) criteria was implemented.
  arXiv  Detail & Related papers  (2024-02-12T17:30:05Z)
• AI-assisted Learning for Electronic Engineering Courses in High Education [2.67766280323297]
  The study includes the evaluation and reflection of different stakeholders: students, lecturers, and engineers. The findings of this study shed light on the benefits and limitations of ChatGPT as an AI tool, paving the way for innovative learning approaches in technical disciplines.
  arXiv  Detail & Related papers  (2023-11-02T07:48:10Z)
• PILOT: A Pre-Trained Model-Based Continual Learning Toolbox [71.63186089279218]
  This paper introduces a pre-trained model-based continual learning toolbox known as PILOT. On the one hand, PILOT implements some state-of-the-art class-incremental learning algorithms based on pre-trained models, such as L2P, DualPrompt, and CODA-Prompt. On the other hand, PILOT fits typical class-incremental learning algorithms within the context of pre-trained models to evaluate their effectiveness.
  arXiv  Detail & Related papers  (2023-09-13T17:55:11Z)
• UKP-SQuARE: An Interactive Tool for Teaching Question Answering [61.93372227117229]
  The exponential growth of question answering (QA) has made it an indispensable topic in any Natural Language Processing (NLP) course. We introduce UKP-SQuARE as a platform for QA education. Students can run, compare, and analyze various QA models from different perspectives.
  arXiv  Detail & Related papers  (2023-05-31T11:29:04Z)
• (Meta) Competences for Digital Practice: Educational Scenarios for the Workplace of the Future Exemplified by Building Information Modeling Work Processes [0.0]
  Two educational scenarios based on teleworking and digital tools are compared. The influence of both educational scenarios on competence development for the workplace of the future is discussed.
  arXiv  Detail & Related papers  (2022-06-09T18:33:14Z)
• Comparative Study of Learning Outcomes for Online Learning Platforms [47.5164159412965]
  Personalization and active learning are key aspects to successful learning. We run a comparative head-to-head study of learning outcomes for two popular online learning platforms.
  arXiv  Detail & Related papers  (2021-04-15T20:40:24Z)
• Personalized Education in the AI Era: What to Expect Next? [76.37000521334585]
  The objective of personalized learning is to design an effective knowledge acquisition track that matches the learner's strengths and bypasses her weaknesses to meet her desired goal. In recent years, the boost of artificial intelligence (AI) and machine learning (ML) has unfolded novel perspectives to enhance personalized education.
  arXiv  Detail & Related papers  (2021-01-19T12:23:32Z)
• System of Computer Modeling and Features of their use in the Educational Process of General Secondary Eeducation [0.0]
  The article analyzes the historical aspect of the formation of computer modeling as one of the perspective directions of educational process development. The use of SCMod in the study of natural-mathematical subjects contributes to the formation of subject competencies.
  arXiv  Detail & Related papers  (2020-05-03T10:26:12Z)

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.