Results 1 to 10 of about 678,507 (74)

ChatGPT for Teaching and Learning: An Experience from Data Science Education [PDF]

open access: yes, 2023
ChatGPT, an implementation and application of large language models, has gained significant popularity since its initial release. Researchers have been exploring ways to harness the practical benefits of ChatGPT in real-world scenarios. Educational researchers have investigated its potential in various subjects, e.g., programming, mathematics, finance,
arxiv   +1 more source

Opinionated practices for teaching reproducibility: motivation, guided instruction and practice [PDF]

open access: yes, 2021
In the data science courses at the University of British Columbia, we define data science as the study, development and practice of reproducible and auditable processes to obtain insight from data. While reproducibility is core to our definition, most data science learners enter the field with other aspects of data science in mind, for example ...
arxiv   +1 more source

Memory-two strategies forming symmetric mutual reinforcement learning equilibrium in repeated prisoners' dilemma game [PDF]

open access: yesAppl. Math. Comput. 444, 127819 (2023), 2021
We investigate symmetric equilibria of mutual reinforcement learning when both players alternately learn the optimal memory-two strategies against the opponent in the repeated prisoners' dilemma game. We provide a necessary condition for memory-two deterministic strategies to form symmetric equilibria.
arxiv   +1 more source

A Cognitive Science perspective for learning how to design meaningful user experiences and human-centered technology [PDF]

open access: yesarXiv, 2021
This paper reviews literature in cognitive science, human-computer interaction (HCI) and natural-language processing (NLP) to consider how analogical reasoning (AR) could help inform the design of communication and learning technologies, as well as online communities and digital platforms.
arxiv  

Knowledge Spaces and the Completeness of Learning Strategies [PDF]

open access: yesLogical Methods in Computer Science, Volume 10, Issue 1 (February 12, 2014) lmcs:729, 2014
We propose a theory of learning aimed to formalize some ideas underlying Coquand's game semantics and Krivine's realizability of classical logic. We introduce a notion of knowledge state together with a new topology, capturing finite positive and negative information that guides a learning strategy.
arxiv   +1 more source

Education Games To Learn Basic Algorithm With Near Isometric Projection Method [PDF]

open access: yes, 2020
Basic programming and algorithm learning is one of the compulsory subjects required for students majoring in computers. As this lesson is knowledge base, it is very important and essential that before learn programmings languages students must be encourages to learn it to avoid difficulties that by using the algorithm learning games application with ...
arxiv   +1 more source

Generative AI has lowered the barriers to computational social sciences [PDF]

open access: yesarXiv, 2023
Generative artificial intelligence (AI) has revolutionized the field of computational social science, unleashing new possibilities for analyzing multimodal data, especially for scholars who may not have extensive programming expertise. This breakthrough carries profound implications for the realm of social sciences.
arxiv  

SciNote: Collaborative Problem Solving and Argumentation Tool [PDF]

open access: yesarXiv, 2021
As educators push for students to learn science by doing science, there is a need for computational scaffolding to assist students' evaluation of scientific evidence and argument building. In this paper, we present a pilot study of SciNote, a CSCL tool allowing educators to integrate third-party software into a flexible and collaborative workspace.
arxiv  

Using Quantum Computers to Learn Physics [PDF]

open access: yesarXiv, 2014
Since its inception at the beginning of the twentieth century, quantum mechanics has challenged our conceptions of how the universe ought to work; however, the equations of quantum mechanics can be too computationally difficult to solve using existing computers for even modestly large systems.
arxiv  

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