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This article advances the prerequisite network as a means to visualize the hidden structure in an academic curriculum. Network technologies have been used for some time now in social analyses and more recently in biology in the areas of…

Social and Information Networks · Computer Science 2014-08-25 Preston R. Aldrich

This paper shares my journey (tools used, design principles derived and modeling pedagogy implemented) when creating electronic books-chapters (epub3 format) for computers and tablets using Easy Java/JavaScript Simulations, (old name EJS,…

Physics Education · Physics 2016-05-17 Loo Kang Wee

The use of electronic textbooks (e-book) has been heavily studied over the years due to their flexibility, accessibility, interactivity and extensibility. Yet current shortcomings of e-book, which is often just a digitized version of the…

Digital Libraries · Computer Science 2018-01-23 Noel Nuo Wi Tay , Sheng-Chi Yang , Chang-Shing Lee , Naoyuki Kubota

Teaching graph theory with the most adequate tools requires time and ideas. We present how an open community of teachers shares contents and ideas on an innovative platform. The objective is to get the students autonomous in their training…

Discrete Mathematics · Computer Science 2022-09-13 Nicolas Catusse , Hadrien Cambazard , Nadia Brauner , Bernard Penz , Florian Fontan

E-learning can be loosely defined as a wide set of applications and processes, which uses available electronic media (and tools) to deliver vocational education and training. With its increasing recognition as an ubiquitous mode of…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Zaheer Abbas , Muhammad Umer , Mohammed Odeh , Richard McClatchey , Arshad Ali , Farooq Ahmad

The e-book market is currently in a strong upswing. This research study deals with the question which practical uses the e-book format EPUB3 offers for (higher) education. By means of a didactic content analysis, a range of interactive…

Computers and Society · Computer Science 2016-06-21 Martin Ebner , Christian Gailer , Mohammad Khalil , Michael Kopp , Elke Lackner , Michael Raunig

A curriculum is a planned sequence of learning materials and an effective one can make learning efficient and effective for both humans and machines. Recent studies developed effective data-driven curriculum learning approaches for training…

Machine Learning · Computer Science 2023-07-19 Nidhi Vakil , Hadi Amiri

With the rise of online eTextbooks and Massive Open Online Courses (MOOCs), a huge amount of data has been collected related to students' learning. With the careful analysis of this data, educators can gain useful insights into the…

Computers and Society · Computer Science 2022-03-09 Ahmed Abd Elrahman , Taysir Hassan A Soliman , Ahmed I. Taloba , Mohammed F. Farghally

Book covers are intentionally designed and provide an introduction to a book. However, they typically require professional skills to design and produce the cover images. Thus, we propose a generative neural network that can produce book…

Computer Vision and Pattern Recognition · Computer Science 2021-06-16 Wensheng Zhang , Yan Zheng , Taiga Miyazono , Seiichi Uchida , Brian Kenji Iwana

Dynamic graphs with ordered sequences of events between nodes are prevalent in real-world industrial applications such as e-commerce and social platforms. However, representation learning for dynamic graphs has posed great computational…

Machine Learning · Computer Science 2021-12-16 Xinshi Chen , Yan Zhu , Haowen Xu , Mengyang Liu , Liang Xiong , Muhan Zhang , Le Song

Graphs are essential representations in the professions and education concerning the science, technology, engineering, and mathematics (STEM) disciplines. Beyond their academic relevance, graphs find extensive utility in everyday scenarios,…

The aim of this paper is to describe a basic idea to introduce formal modeling in development and presentation of e-learning systems. By introducing formalism, reasoning on e-learning systems and processes through them can be more easily…

Computers and Society · Computer Science 2013-10-31 Gordana Rakic , Ljubomir Jerinic , Zoran Budimac , Mirjana Ivanovic

Besides the need for a better understanding of networks, there is a need for prescriptive models and tools to specify requirements concerning networks and their associated graph representations. We propose class-based graphs as a means to…

Social and Information Networks · Computer Science 2012-08-31 Willy Picard

A teacher's knowledge base consists of knowledge of mathematics content, knowledge of student epistemology, and pedagogical knowledge. It has severe implications on the understanding of student's knowledge of content, and the learning…

Artificial Intelligence · Computer Science 2024-04-17 A Mani

Syllabus is essentially a concise outline of a course of study, and conventionally a text document. In the past few decades, however, two novel variations of syllabus have emerged, namely "the Graphic Syllabus" and "the Interactive…

General Economics · Economics 2022-09-07 Seyyed Ali Zeytoon Nejad Moosavian

This textbook is an introduction to economic networks, intended for students and researchers in the fields of economics and applied mathematics. The textbook emphasizes quantitative modeling, with the main underlying tools being graph…

General Economics · Economics 2022-07-04 Thomas J. Sargent , John Stachurski

E-graphs are a data structure for equational reasoning and optimization over ground terms. One of the benefits of e-graph rewriting is that it can declaratively handle useful but difficult to orient identities like associativity and…

Programming Languages · Computer Science 2025-04-22 Philip Zucker

A $k$-page book drawing of a graph $G=(V,E)$ consists of a linear ordering of its vertices along a spine and an assignment of each edge to one of the $k$ pages, which are half-planes bounded by the spine. In a book drawing, two edges cross…

Data Structures and Algorithms · Computer Science 2017-08-31 Jonathan Klawitter , Tamara Mchedlidze , Martin Nöllenburg

Interactions involving multiple objects simultaneously are ubiquitous across many domains. The systems these interactions inhabit can be modelled using hypergraphs, a generalization of traditional graphs in which each edge can connect any…

Social and Information Networks · Computer Science 2021-12-08 Cazamere Comrie , Jon Kleinberg

Neural networks that compute over graph structures are a natural fit for problems in a variety of domains, including natural language (parse trees) and cheminformatics (molecular graphs). However, since the computation graph has a different…

Neural and Evolutionary Computing · Computer Science 2017-02-23 Moshe Looks , Marcello Herreshoff , DeLesley Hutchins , Peter Norvig
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