Computer simulation is a computer model that simulates a system. Simulations are useful for modeling natural and human systems. Simulations provide hands-on experiments for topics normally inaccessible to students. This allows students to observe, manipulate, and investigate phenomena. Simulations can increase content knowledge and provide models for skill learning. They have been used since the 1960s and continue to be developed through financing, resources, quality assurance, and flexibility. Simulations are commercialized through professional development, software, and trials. Their adoption in education follows an innovation-decision process through knowledge, persuasion, and decision stages. Simulations are used in games and to enhance student performance by supporting different learning styles and exploration. Their implementation considers finances, facilities
The purpose of this paper is to design reference architecture for intelligent personal
learning environments (PLE). This research effort is a result of a multi-stage approach.
First, semi-structured interviews have been conducted with software development
practitioners working in a large technology and communications services provider
company. Interview content has been evaluated using thematic analysis. Second,
reference architecture for intelligent personal learning environments has been designed
and validated using the Software Architecture Analysis Method (SAAM). During SAAM
evaluation, the output of the first phase and previous Personal Learning Environment
literature reviews has been used. As a result, we demonstrated a novel architecture for
personal learning environments. Proposed personal learning architecture has met the
requirements of industry demands and previous literature.
The purpose of this paper is to design reference architecture for intelligent personal
learning environments (PLE). This research effort is a result of a multi-stage approach.
First, semi-structured interviews have been conducted with software development
practitioners working in a large technology and communications services provider
company. Interview content has been evaluated using thematic analysis. Second,
reference architecture for intelligent personal learning environments has been designed
and validated using the Software Architecture Analysis Method (SAAM). During SAAM
evaluation, the output of the first phase and previous Personal Learning Environment
literature reviews has been used. As a result, we demonstrated a novel architecture for
personal learning environments. Proposed personal learning architecture has met the
requirements of industry demands and previous literature.
An Efficient Methodology To Develop A Secured E-Learning System Using Cloud C...IJMERJOURNAL
ABSTRACT: Now-a-days, each and every action involved in our life becomes computerized in order to reduce the time, complexity and manual power. The education systems are also being computerized, to train the students in a much efficient way. This system is termed as E-Learning. E-Learning is an Internet-based learning process, in which the Internet technology is used to design, implement, manage and extend learning, which will improve the efficiency of learning. Learning, Teaching and Training are intensely connected components, which are all included in the development of E-Learning system. Cloud Computing provides an efficient platform to support the E-Learning systems, as it can be dramatically changes over time .In this paper, an overview on the new emerging E-Learning system , utilization of the SAAS (Software as a Service) and the methodology to test the efficiency of the person in a secured way are described.
Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples ...tobold
Presentation given at the Seminar "Opportunities and Challenges of Learning with Technologies: Evidence-based Education" at the Permanent Representation of Estonia to the EU on 12 November 2014 in Brussels.
Adoption of MDE technologies (and techniques) could be dis- cussed within the context of existing technology acceptance models (TAMs). For instance, Davis’ basic TAM model [4] emphasizes (perceived) usefulness and ease of use. While these factors are clearly relevant, we aim at a more refined view by paying special attention to how MDE, at this stage, is driven by research and university teaching. That is, we describe the challenge of improving chances of MDE adoption (i.e., improved ‘adoptability’) in terms of maturing three legs of an ‘adoption chair’: i) reproducibility of research re- sults; ii) reusability of essential technologies; iii) teachability of the underlying techniques.
An Efficient Methodology To Develop A Secured E-Learning System Using Cloud C...IJMERJOURNAL
ABSTRACT: Now-a-days, each and every action involved in our life becomes computerized in order to reduce the time, complexity and manual power. The education systems are also being computerized, to train the students in a much efficient way. This system is termed as E-Learning. E-Learning is an Internet-based learning process, in which the Internet technology is used to design, implement, manage and extend learning, which will improve the efficiency of learning. Learning, Teaching and Training are intensely connected components, which are all included in the development of E-Learning system. Cloud Computing provides an efficient platform to support the E-Learning systems, as it can be dramatically changes over time .In this paper, an overview on the new emerging E-Learning system , utilization of the SAAS (Software as a Service) and the methodology to test the efficiency of the person in a secured way are described.
Learning Analytics and Sensemaking in Digital Learning Ecosystems - Examples ...tobold
Presentation given at the Seminar "Opportunities and Challenges of Learning with Technologies: Evidence-based Education" at the Permanent Representation of Estonia to the EU on 12 November 2014 in Brussels.
Adoption of MDE technologies (and techniques) could be dis- cussed within the context of existing technology acceptance models (TAMs). For instance, Davis’ basic TAM model [4] emphasizes (perceived) usefulness and ease of use. While these factors are clearly relevant, we aim at a more refined view by paying special attention to how MDE, at this stage, is driven by research and university teaching. That is, we describe the challenge of improving chances of MDE adoption (i.e., improved ‘adoptability’) in terms of maturing three legs of an ‘adoption chair’: i) reproducibility of research re- sults; ii) reusability of essential technologies; iii) teachability of the underlying techniques.
Adaptarse a las nuevas formas de crear y compartir contenidos digitales constituye un reto para la preparación de profesionales en los perfiles emergentes de disciplinas ajenas a la informática y la computación. Los lenguajes y las herramientas de creación digital no están muchas veces pensados para su utilización por parte de usuarios de estos campos. Un reto en el campo de la computación creativa es la posibilidad de incorporar capacidades interactivas multimodales, junto con realidad virtual y realidad aumentada, en las herramientas de autoría con las que se elaboran los materiales y diseños de aprendizaje. El objetivo general de la charla es motivar la investigación sobre la computación creativa, así como mostrar desarrollos diversos alrededor de un marco de trabajo que aspira a fomentar las habilidades de diseño, creación y despliegue de experiencias educativas con capacidades analíticas para el aprendizaje y la evaluación en un contexto multidisciplinar.
A vast majority of students in computing and related disciplines expect to interact with their systems and computing devices using a graphical user interface. Any other means of interacting with a device is deemed unseemly and is quickly met with frustration and rejection. This can partly be attributed to the fact that most operating systems and the tools that run on these platforms offer a rich “point-and-click” interface in an effort to make their systems user friendly. However, in contrast, when it comes to the study of system and cyber security, a mastery over the console and the command-line interface is imperative. In our experience in teaching most courses on system and cyber security, students seem to have the greatest difficulty in using the console/command-prompt/shell. This issue is further exacerbated since many security and related open source forensics tools are designed to run in a Unix-based environment, typically a shell, and even fewer students are familiar with the UNIX environment and find the entire experience all the more daunting. Even the simple command-prompt, ubiquitous on all Microsoft Windows operating systems, is met with significant disdain by today's students, both at the graduate and undergraduate levels. There are several solutions that have been proposed and designed to alleviate this exact issue in the field of computer programming. Video tool, Dragon Drop Pictorial Programming, Alice and Jpie are various stand-alone tools introduced to ease the inherent challenges in learning a new programming language and environment. To alleviate this situation, in this paper, we propose the first tool of its kind, to the best of our knowledge, which aims to tutor a console application using a graphical interface and adapts to the students' progress. The ultimate aim is to eliminate students' dependence on graphical interfaces and convert her to a power user of a system. Our tool, called Interactive Bash Shell Adaptive Tutoring System (iBaTs), enables students to familiarize themselves with the UNIX environment and the Bash Shell on a Windows operating system. In this work, we discuss the architecture of our tutoring program and demonstrate that our system sports several innovative pedagogical features that makes it a unique, fun, encouraging and adaptive learning environment. To the best of our knowledge, this is the first such effort that aims to address this issue.
An exploration of AI and analytics, blockchain, robotics and 3D printing, 5G and immersive technology, gamification, video based learning and their likely impact on learning in the medium term. Also has some cautions. Developed for a series of presentations across Canada.
Transforming Education through Disruptive TechnologiesAspire Systems
IT budget cuts post-recession have forced education CIO’s to increase dependence on emerging cost-effective technologies like collaboration platforms, web based applications and the now buzzed Cloud Computing. However, the technology invasion in education is still nascent and various revolutionary concepts, like augmented reality and semantic web, are on the verge of becoming mainstream.
To penetrate beyond the inevitable hype and disruption, this webinar will be looking at the following:
- The best emerging technologies that education software providers should invest in
- Technologies recommended for classroom adoption among educational institutions
- Effects of adopting such disruptive technologies
- Obtaining the best out of established technologies
Technology Class presentation to class at Fordham Uniersity, It is meant for classroom teachers to broaden understanfing of integrating technology into teaching and learning.
Insights into Innovation, Tokyo 8-6-10, Martha G. RussellMartha Russell
A description of how Media X serves as Stanford’s catalyst for innovation at the intersection of people and technology – across departments, and between university and business. Using socially constructed data, parsed from data retrieved from online English-language press releases, network analysis shows patterns of organizational infrastructure. The cultivation approach to global investments into Chinese technology-based companies is contrasted with the harvesting approach of Chinese investments into the rest of the world. Critical implications for board interlocks and flows of information are discussed. Research conducted at Media X at Stanford University, by Martha G. Russell, Neil Rubens, Kaisa Still, Jukka Huhtamaki
Towards Mining Software Repositories Research that MattersTao Xie
Towards Mining Software Repositories Research that Matters. Talk slides at Next Generation of Mining Software Repositories '14 (Pre-FSE 2014 Event), Nov 15–16. HKUST, Hong Kong http://ng2014.msrworld.org/
HPCC Systems Engineering Summit Presentation - Collaborative Research with FA...HPCC Systems
Presenters: Borko Furht, Department of Electrical & Computer Engineering and Computer Science, FAU
In 2009, Florida Atlantic University (FAU) received a grant from the National Science Foundation (NSF) to create the site of the Center for Advanced Knowledge Enablement (CAKE) as an Industry/University Cooperative Research Center (I/UCRC) that provides a framework for interaction between university faculty and industry in the areas of information technology, communication, and computing. LexisNexis is currently one of the CAKE industry members. In this session, we will talk about the significance of the membership, joint accomplishments, contributions back to the HPCC Systems community, as well as sharing experiences on including a Data Intensive Computing program in the FAU curriculum.
NOTE: This is one of 3 presentations for this session and is the 2nd one shown in the accompanying YouTube video.
Track 12. Educational innovation
Authors: Araceli Queiruga Dios, Angel Martin Del Rey, Ascensión Hernández, Jesus Martin-Vaquero, Luis Hernandez Encinas and Gerardo Rodriguez Sanchez
Webinar: Learning Informatics Lab, University of Minnesota
Replay the talk: https://youtu.be/dcJZeDIMr2I
Learning Informatics
AI • Analytics • Accountability • Agency
Simon Buckingham Shum
Professor of Learning Informatics
Director, Connected Intelligence Centre
University of Technology Sydney
Abstract:
“Health Informatics”. “Urban Informatics”. “Social Informatics”. Informatics offers systemic ways of analyzing and designing the interaction of natural and artificial information processing systems. In the context of education, I will describe some Learning Informatics lenses and practices which we have developed for co-designing analytics and AI with educators and students. We have a particular focus on closing the feedback loop to equip learners with competencies to navigate a complex, uncertain future, such as critical thinking, professional reflection and teamwork. En route, we will touch on how we build educators’ trust in novel tools, our design philosophy of “embracing imperfection” in machine intelligence, and the ways that these infrastructures embody values. Speaking from the perspective of leading an institutional innovation centre in learning analytics, I hope that our experiences spark productive reflection around as the UMN Learning Informatics Lab builds its program.
Biography:
Simon Buckingham Shum is Professor of Learning Informatics at the University of Technology Sydney, where he serves as inaugural director of the Connected Intelligence Centre. CIC is a transdisciplinary innovation centre, using analytics to provide new insights for university teams, with particular expertise in educational data science. Simon’s career-long fascination with software’s ability to make thinking visible has seen him active in communities including Computer-Supported Cooperative Work, Hypertext, Design Rationale, Scholarly Publishing, Semantic Web, Computational Argumentation, Educational Technology and Learning Analytics. The challenge of visualizing contested knowledge has produced several books: Visualizing Argumentation, Knowledge Cartography, and Constructing Knowledge Art. He has been active over the last decade in shaping the field of Learning Analytics, co-founding the Society for Learning Analytics Research, and catalyzing several strands: Social Learning Analytics, Discourse Analytics, Dispositional Analytics and Writing Analytics. http://Simon.BuckinghamShum.net
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
1. Storyboard on Computer Simulation sakondra.moore@waldenu.edu PhD in EducationSpecialization: Educational Technology Educ 7101-2 Diffusion and Integration of Technology in Education
4. What is Computer Simulation? Computer Simulation is a computer model, or a computational model that is a computer program, or network of computers, that attempts to simulate an abstract model of a particular system. Computer simulations have become a useful part of mathematical modeling of many natural systems in physics, astrophysics, chemistry and biology, human systems in economics, psychology, social science, and engineering. (Wikipedia, 2010)
52. Strangman, N., & Hall, T. (2003). Virtual reality/simulations. Wakefield, MA: National Center on Accessing the General Curriculum. Retrieved [December 19, 2010] from http://aim.cast.org/learn/historyarchive/backgroundpapers/virtual_simula Wikimedia Foundation, Inc. (2010). Wikipedia Free Encyclopedia. Retrieved from: http://en.wikipedia.org/wiki/Computer_simulation. December 19, 2010. Woodward, J., Carnine, D., & Gersten, R. A. O. (1988). Teaching problem solving through computer simulation. American Educational Research Journal, 25(1), 72-86.
Editor's Notes
1. Reflection- provides individual learning styles and 2.Benchmark-test simulation3. Measure against learning objectives4. Students have the opportunity to form connections5.Bridging theoretical knowledge with the real world6. Scaffolding, facilitated by the teacher
1. 3D modeling used in science, architecture, computer games, motion pictures, and video games.2. Computer and Games are one of the U.S. top sellers ranking at sales over $7.4 billion dollars.3. Average user is 33 and majority women
Rogers (2003) Innovation-Decision Process. Knowledge persuasionDecisionImplementationConfirmation2. I will discuss each one as it pertains to computer simulation in the upcoming slides
Many learning tools incorporated into the curriculums now are in the form of games or digital media technology.It makes learning more interesting and entertaining.Children remember better when the lessons are related to real world situations or entertainment.Children today are born into a digital media society so that is what their learning environment has to relate to.According to research, computer simulation increases student achievement.Computer simulation can be used to tell stories, interactive spreadsheets, mathemetics, and virtual tours in science
Games make classes engaging: fun, rewards, competitions, discovery, and social worth.Genre of games:Role playing AdventureMultiplayerAction Fighting
Computer Simulation helps student s develop analytical and decision-making skills
1. Who would you expect to be (or who are) the innovators and early adopters in your field of work for the innovation you are exploring? What strategies are the most persuasive in convincing them to adopt the innovation?
Who do you think would be (or who are) the laggards in terms of rejecting the innovation? What strategies would be best to help move them toward adoption?
Scholarships
Which combination of perceived attributes would be best for helping your innovation meet critical mass in your industry?