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相关论文: An educator's perspective of the tidyverse

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A large amount of data is produced every second from modern information systems such as mobile devices, the world wide web, Internet of Things, social media, etc. Analysis and mining of this massive data requires a lot of advanced tools and…

机器学习 · 计算机科学 2020-01-13 Rising Odegua , Festus Ikpotokin

Programming education is becoming important as demands on computer literacy and coding skills are growing. Despite the increasing popularity of interactive online learning systems, many programming courses in schools have not changed their…

计算机与社会 · 计算机科学 2020-01-23 Ryo Suzuki , Jun Kato , Koji Yatani

Deep learning is used in computer vision problems with important applications in several scientific fields. In ecology for example, there is a growing interest in deep learning for automatizing repetitive analyses on large amounts of…

In biomedical science, a set of objects or persons can often be described by multiple distinct sets of features obtained from different data sources or modalities (called "multi-view data"). Classical machine learning methods ignore the…

统计计算 · 统计学 2025-04-25 Wouter van Loon

We identify two major steps in data analysis, data exploration for understanding and observing patterns/relationships in data; and construction, design and assessment of various models to formalize these relationships. For each step, there…

In the 1990s, statisticians began thinking in a principled way about how computation could better support the learning and doing of statistics. Since then, the pace of software development has accelerated, advancements in computing and data…

统计计算 · 统计学 2018-06-05 Amelia McNamara

Modern science clearly demands for a higher level of reproducibility and collaboration. To make research fully reproducible one has to take care of several aspects: research protocol description, data access, environment preservation,…

计算机与社会 · 计算机科学 2017-12-06 Andrey Ustyuzhanin , Timothy Daniel Head , Igor Babuschkin , Alexander Tiunov

Background and objective: Stacking is an ensemble machine learning method that averages predictions from multiple other algorithms, such as generalized linear models and regression trees. An implementation of stacking, called super…

机器学习 · 统计学 2019-08-01 Alexander P. Keil , Daniel Westreich , Jessie K Edwards , Stephen R Cole

This paper is a call to action for research and discussion on data visualization education. As visualization evolves and spreads through our professional and personal lives, we need to understand how to support and empower a broad and…

Flipped classroom approach has gained attention for educational practitioners and researchers in recent years. In contrast with traditional classroom, in flipped classroom, students gather basic knowledge out of class, so that class time…

物理教育 · 物理学 2020-02-14 Yosep Dwi Kristanto , Russasmita Sri Padmi

We describe an introductory data science course, entitled Introduction to Data Science, offered at the University of Illinois at Urbana-Champaign. The course introduced general programming concepts by using the Python programming language…

其他统计学 · 统计学 2016-04-27 Robert J. Brunner , Edward J. Kim

Reproducing cognitive development, group interaction, and long-term evolution in virtual classrooms remains a core challenge for educational AI, as real classrooms integrate open-ended cognition, dynamic social interaction, affective…

计算机视觉与模式识别 · 计算机科学 2025-10-08 Yiping Ma , Shiyu Hu , Buyuan Zhu , Yipei Wang , Yaxuan Kang , Shiqing Liu , Kang Hao Cheong

stagedtrees is an R package which includes several algorithms for learning the structure of staged trees and chain event graphs from data. Score-based and clustering-based algorithms are implemented, as well as various functionalities to…

统计方法学 · 统计学 2020-11-03 Federico Carli , Manuele Leonelli , Eva Riccomagno , Gherardo Varando

IWIMS (WWW Interactive Multipurpose Server) offers interactive resources designed over the past 20 years for teaching in various subjects (particularly focusing on mathematics, but also in biology, chemistry, economics, languages, physics),…

历史与综述 · 数学 2020-02-05 Marina , Cazzola , Sophie , Lemaire , Bernadette , Perrin-Riou

Big data are data on a massive scale in terms of volume, intensity, and complexity that exceed the capacity of standard software tools. They present opportunities as well as challenges to statisticians. The role of computational…

统计计算 · 统计学 2018-06-13 Chun Wang , Ming-Hui Chen , Elizabeth Schifano , Jing Wu , Jun Yan

Traditional university orientation formats struggle to convey the intellectual substance of STEM curricula, particularly in disciplines where core competencies, such as algorithmic thinking and formal reasoning, are inherently abstract.…

人机交互 · 计算机科学 2026-03-10 Santiago Berrezueta-Guzman , Nadia Damianova , Andrei Koshelev , Ivan Parmacli , Stefan Wagner

We describe a series of interactive, student-developed, self-paced, modules for learning R. We detail the components of this resource, and the pedagogical underpinning. We discuss the development of this resource, and avenues for future…

The web-based dynamic geometry software CindyJS is a versatile tool to create interactive applications for mathematics and other topics. In this workshop, we will look at a code package that makes the creation of animations in CindyJS…

图形学 · 计算机科学 2025-02-21 Bernhard O. Werner

This paper introduces pyRDF2Vec, a Python software package that reimplements the well-known RDF2Vec algorithm along with several of its extensions. By making the algorithm available in the most popular data science language, and by bundling…

机器学习 · 计算机科学 2022-05-06 Gilles Vandewiele , Bram Steenwinckel , Terencio Agozzino , Femke Ongenae

This study introduces an integrated curriculum designed to empower underrepresented students by combining environmental literacy, data literacy, and computer science. The framework promotes environmental awareness, data literacy, and civic…

计算机与社会 · 计算机科学 2023-10-27 Clare Baek , Dana Saito-Stehberger , Sharin Jacob , Adam Nam , Mark Warschauer