Creating Open Source Lecture Materials

2015 ◽  
pp. 68-94
Author(s):  
William H. Hsu
Keyword(s):  
Technology Transfer ◽  
Open Source ◽  
Large Scale ◽  
Online Courses ◽  
Content Management ◽  
Learning Technologies ◽  
Video Production ◽  
Enterprise Information ◽  
College And University ◽  
Tools And Techniques

This chapter surveys recent and continuing trends in software tools for preparation of open courseware, in particular audiovisual lecture materials, documentaries and tutorials, and derivative materials. It begins by presenting a catalog of tools ranging from open source wikis and custom content management systems to desktop video production. Next, it reviews techniques for preparation of lecture materials consisting of five specific learning technologies: animation of concepts and problem solutions; explanation of code; video walkthroughs of system documentation; software demonstrations; and creation of materials for instructor preparation and technology transfer. Accompanying the description of each technology and the review of its state of practice is a discussion of the goals and assessment criteria for deployed courseware that uses those tools and techniques. Holistic uses of these technologies are then analyzed via case studies in three domains: artificial intelligence, computer graphics, and enterprise information systems. An exploration of technology transfer to college and university-level instructors in the information sciences then follows. Finally, effective practices for encouraging adoption and dissemination of lecture materials are then surveyed, starting with comprehensive, well-established open courseware projects that adapt pre-existing content and continuing through recent large-scale online courses aimed at audiences of tens to hundreds of thousands.

Creating Open Source Lecture Materials

2015 ◽  
pp. 336-363
Author(s):  
William H. Hsu
Keyword(s):  
Technology Transfer ◽  
Open Source ◽  
Large Scale ◽  
Online Courses ◽  
Content Management ◽  
Learning Technologies ◽  
Video Production ◽  
Enterprise Information ◽  
College And University ◽  
Tools And Techniques

This chapter surveys recent and continuing trends in software tools for preparation of open courseware, in particular audiovisual lecture materials, documentaries and tutorials, and derivative materials. It begins by presenting a catalog of tools ranging from open source wikis and custom content management systems to desktop video production. Next, it reviews techniques for preparation of lecture materials consisting of five specific learning technologies: animation of concepts and problem solutions; explanation of code; video walkthroughs of system documentation; software demonstrations; and creation of materials for instructor preparation and technology transfer. Accompanying the description of each technology and the review of its state of practice is a discussion of the goals and assessment criteria for deployed courseware that uses those tools and techniques. Holistic uses of these technologies are then analyzed via case studies in three domains: artificial intelligence, computer graphics, and enterprise information systems. An exploration of technology transfer to college and university-level instructors in the information sciences then follows. Finally, effective practices for encouraging adoption and dissemination of lecture materials are then surveyed, starting with comprehensive, well-established open courseware projects that adapt pre-existing content and continuing through recent large-scale online courses aimed at audiences of tens to hundreds of thousands.

Creating Open Source Lecture Materials

2013 ◽  
pp. 253-280
Author(s):  
William H. Hsu
Keyword(s):  
Technology Transfer ◽  
Open Source ◽  
Large Scale ◽  
Online Courses ◽  
Content Management ◽  
Learning Technologies ◽  
Video Production ◽  
Enterprise Information ◽  
College And University ◽  
Tools And Techniques

This chapter surveys recent and continuing trends in software tools for preparation of open courseware, in particular audiovisual lecture materials, documentaries and tutorials, and derivative materials. It begins by presenting a catalog of tools ranging from open source wikis and custom content management systems to desktop video production. Next, it reviews techniques for preparation of lecture materials consisting of five specific learning technologies: animation of concepts and problem solutions; explanation of code; video walkthroughs of system documentation; software demonstrations; and creation of materials for instructor preparation and technology transfer. Accompanying the description of each technology and the review of its state of practice is a discussion of the goals and assessment criteria for deployed courseware that uses those tools and techniques. Holistic uses of these technologies are then analyzed via case studies in three domains: artificial intelligence, computer graphics, and enterprise information systems. An exploration of technology transfer to college and university-level instructors in the information sciences then follows. Finally, effective practices for encouraging adoption and dissemination of lecture materials are then surveyed, starting with comprehensive, well-established open courseware projects that adapt pre-existing content and continuing through recent large-scale online courses aimed at audiences of tens to hundreds of thousands.

Open Source for Accounting and Enterprise Systems

2011 ◽  
pp. 555-569
Author(s):  
Thomas Tribunella ◽  
James Baroody
Keyword(s):  
Information Systems ◽  
Open Source ◽  
Large Scale ◽  
Enterprise Systems ◽  
Future Trends ◽  
Enterprise Information ◽  
Maturity Models ◽  
Accounting Systems ◽  
Enterprise Information Systems ◽  
Financial Applications

This chapter introduces open source software (OSS) for accounting and enterprise information systems. It covers the background, functions, maturity models, adoption issues, strategic considerations, and future trends for small accounting systems as well as large-scale enterprise systems. The authors hope that understanding OSS for financial applications will not only inform readers of how to better analyze accounting and enterprise information systems but will also assist in the understanding of relationships among the various functions.

scholarly journals Organization of online courses of technological design in the conditions of tripartite social partnership

2020 ◽  
pp. 132-148
Author(s):  
Dmitrii Grigor'evich Miroshin ◽  
Vera Anatol'evna Shterenzon ◽  
Mikhail Germanovich Bliznik ◽  
Dmitrii Valer'evich Kurennov
Keyword(s):  
University Students ◽  
Online Courses ◽  
Learning Technologies ◽  
Project Based Learning ◽  
Professional Activity ◽  
Social Partnership ◽  
College And University ◽  
Job Functions ◽  
Learning Technique ◽  
Technological Competences

The object of this research is the process of organization and implementation of technological training of college and university students in studying educational modules and professional modules in the conditions of tripartite social partnership, such as college–university–enterprise, organized as online courses. The subject of this research is the remote teaching technique for students in the context of elaboration of technological processes for manufacturing machine parts. The author examines such important aspect of the topic as the variants of planning educational space within the framework of tripartite social partnership with the integration of actual projects and modeling of professional activity of the specialist in students’ project-based activity. The article reviews the step-by-step procedure of implementation of project-based learning technique in the course of technological training of university and college students, oriented towards formation of professional competences and job functions of professional standards. The results of pedagogical experiment on the formation of technological competences in the course of implementation of project-based learning in the specifically arranged educational space are presented. The scientific novelty consists in implementation of project-based learning technologies in the conditions of quasi-professional activity in fulfillment of actual production projects by the college and university students. The author’s special contribution consists in the development of algorithm for joint implementation of project-based learning technique for training college and university students in the profession-oriented educational space. The main conclusions lie in substantiation of high pedagogical effectiveness of the planned project-based learning in terms of social partnership between the college–university–enterprise that reconstructs profession-oriented educational space.

Unfolding Sentimental and Behavioral Tendencies of Learners' Concerned Topics From Course Reviews in a MOOC

2018 ◽  
Vol 57 (3) ◽  
pp. 670-696 ◽  
Author(s):  
Sannyuya Liu ◽  
Xian Peng ◽  
Hercy N. H. Cheng ◽  
Zhi Liu ◽  
Jianwen Sun ◽  
...  
Keyword(s):  
Large Scale ◽  
Topic Model ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Video Production ◽  
Feedback Channel ◽  
Massive Open Online ◽  
Behavioral Tendencies ◽  
Negative Sentiment ◽  
Interactive Feedback

Course reviews, which is designed as an interactive feedback channel in Massive Open Online Courses, has promoted the generation of large-scale text comments. These data, which contain not only learners' concerns, opinions and feelings toward courses, instructors, and platforms but also learners' interactions (e.g., post, reply), are generally subjective and extremely valuable for online instruction. The purpose of this study is to automatically reveal these potential information from 50 online courses by an improved unified topic model Behavior-Sentiment Topic Mixture, which is validated and effective for detecting frequent topics learners discuss most, topics-oriented sentimental tendency as well as how learners interact with these topics. The results show that learners focus more on the topics about course-related content with positive sentiment, as well as the topics about course logistics and video production with negative sentiment. Moreover, the distributions of behaviors associated with these topics have some differences.

scholarly journals A standardized framework for testing the performance of sleep-tracking technology: step-by-step guidelines and open-source code

SLEEP ◽  
2020 ◽  
Author(s):  
Luca Menghini ◽  
Nicola Cellini ◽  
Aimee Goldstone ◽  
Fiona C Baker ◽  
Massimiliano de Zambotti
Keyword(s):  
Open Source ◽  
Validation Studies ◽  
Large Scale ◽  
Analytical Framework ◽  
Clinical Settings ◽  
Large Scale Data ◽  
Fast Pace ◽  
Epoch Analysis ◽  
Tracking Devices

Abstract Sleep-tracking devices, particularly within the consumer sleep technology (CST) space, are increasingly used in both research and clinical settings, providing new opportunities for large-scale data collection in highly ecological conditions. Due to the fast pace of the CST industry combined with the lack of a standardized framework to evaluate the performance of sleep trackers, their accuracy and reliability in measuring sleep remains largely unknown. Here, we provide a step-by-step analytical framework for evaluating the performance of sleep trackers (including standard actigraphy), as compared with gold-standard polysomnography (PSG) or other reference methods. The analytical guidelines are based on recent recommendations for evaluating and using CST from our group and others (de Zambotti and colleagues; Depner and colleagues), and include raw data organization as well as critical analytical procedures, including discrepancy analysis, Bland–Altman plots, and epoch-by-epoch analysis. Analytical steps are accompanied by open-source R functions (depicted at https://sri-human-sleep.github.io/sleep-trackers-performance/AnalyticalPipeline_v1.0.0.html). In addition, an empirical sample dataset is used to describe and discuss the main outcomes of the proposed pipeline. The guidelines and the accompanying functions are aimed at standardizing the testing of CSTs performance, to not only increase the replicability of validation studies, but also to provide ready-to-use tools to researchers and clinicians. All in all, this work can help to increase the efficiency, interpretation, and quality of validation studies, and to improve the informed adoption of CST in research and clinical settings.

scholarly journals PRISMS-Fatigue computational framework for fatigue analysis in polycrystalline metals and alloys

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Mohammadreza Yaghoobi ◽  
Krzysztof S. Stopka ◽  
Aaditya Lakshmanan ◽  
Veera Sundararaghavan ◽  
John E. Allison ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Large Scale ◽  
Metals And Alloys ◽  
Analysis Tool ◽  
Computational Framework ◽  
Crystal Plasticity Finite Element ◽  
Polycrystalline Metals ◽  
Simulation Based ◽  
Open Source Framework

AbstractThe PRISMS-Fatigue open-source framework for simulation-based analysis of microstructural influences on fatigue resistance for polycrystalline metals and alloys is presented here. The framework uses the crystal plasticity finite element method as its microstructure analysis tool and provides a highly efficient, scalable, flexible, and easy-to-use ICME community platform. The PRISMS-Fatigue framework is linked to different open-source software to instantiate microstructures, compute the material response, and assess fatigue indicator parameters. The performance of PRISMS-Fatigue is benchmarked against a similar framework implemented using ABAQUS. Results indicate that the multilevel parallelism scheme of PRISMS-Fatigue is more efficient and scalable than ABAQUS for large-scale fatigue simulations. The performance and flexibility of this framework is demonstrated with various examples that assess the driving force for fatigue crack formation of microstructures with different crystallographic textures, grain morphologies, and grain numbers, and under different multiaxial strain states, strain magnitudes, and boundary conditions.

scholarly journals Open-Source Tools and Containers for the Production of Large-Scale S/TEM Datasets

2021 ◽  
Vol 27 (S1) ◽  
pp. 62-63
Author(s):  
Alexander M Rakowski ◽  
Joydeep Munshi ◽  
Benjamin Savitzky ◽  
Shreyas Cholia ◽  
Matthew L Henderson ◽  
...  
Keyword(s):  
Open Source ◽  
Large Scale
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