Jsav

Karavirta, Ville; Shaffer, Clifford A.

doi:10.1145/2462476.2462487

Cited by 65 publications

(7 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…JSAV (available at http://jsav.io) is a JavaScript algorithm visualization library that is not focused on any one particular subject, but can instead be used for building engaging online learning material. First presented in , it has since gained popularity and broadened its functionality. It is an active project and a promising tool for the future development of algorithm‐based visualization tools.…”

Section: Related Workmentioning

confidence: 99%

Seshat — a web‐based educational resource for teaching the most common algorithms of lexical analysis

Arnaiz‐González

Díez-Pastor

Ramos‐Pérez

et al. 2018

Comp Applic In Engineering

View full text Add to dashboard Cite

The theoretical background to automata and formal languages represents a complex learning area for students. Computer tools for interacting with the algorithm and interfaces to visualize its different steps can assist the learning process and make it more attractive. In this paper, we present a web application for learning some of the most common algorithms in an appealing way. They are specifically linked to the recognition of regular languages that are, taught in classes on both automata theory and compiler design. Although several simulators are available to students, they usually only serve to validate grammars, automata, and languages, rather than helping students to learn the internal processes that an algorithm can perform. The resource presented here can execute and display each algorithm process, step by step, providing explanations on each step that assist student comprehension. Additionally, as a web‐based resource, it can be used on any device with no need for specific software installation.

show abstract

Section: Related Workmentioning

confidence: 99%

Seshat — a web‐based educational resource for teaching the most common algorithms of lexical analysis

Arnaiz‐González

Díez-Pastor

Ramos‐Pérez

et al. 2018

Comp Applic In Engineering

View full text Add to dashboard Cite

show abstract

“…Originally, the server hosted two types of smart learning content: Jsvee program visualizations and Js‐parsons code construction exercises. However, the server was not specifically designed only for these content types, and after the implementation, we have extended the selection of content with JSAV algorithm exercises , which are described in Section 4.2. All currently available content is listed in Tables – .…”

Section: Acos – Advanced Content Servermentioning

confidence: 99%

“…To verify the flexibility and extensibility of the architecture, we tested the Acos architecture by implementing a new content type and some content for it. Based on needs of our local courses, we chose the JSAV library , which provides a framework to create algorithm visualization and simulation exercises with JavaScript.…”

Section: Evaluation Of the Server Architecturementioning

confidence: 99%

See 1 more Smart Citation

Improving online learning activity interoperability with Acos server

Sirkiä

Haaranen

2017

Softw Pract Exp

View full text Add to dashboard Cite

Modern online learning management systems (LMSs) support a variety of online learning activities, such as animations, exercises, and other interactive learning materials. However, there are many technical challenges in using the same activities in multiple LMSs because content is typically tightly coupled with one protocol to communicate with the LMS and different LMSs use different protocols for launching activities and receiving grades. This leads to low reusability of learning activities and similar content being developed in multiple places. To overcome these issues, we present Acos, a smart learning content server, which emphasizes the reusability of online learning activities by decoupling the content and existing interoperability protocols. It allows integrating the same learning activities into multiple LMSs using different protocols by providing a uniform interface for learning activities. Adapting this architecture allows instructors to choose activities based on pedagogical goals instead of letting technical restrictions of LMSs dictate the content selection process.T. Sirkiä, and L. Haaranen Figure 2. Different types of online learning activities with varying degrees of interaction from the domain of CS. In a), the learner can write any code and interactively see the results. In b), the learner input is more limited, and the learner can only arrange the given code blocks. In c), the input is most limited, and the learner can only control the visualization. [Colour figure can be viewed at wileyonlinelibrary.com] T. Sirkiä, and L. Haaranen 3.6.2. Submitting Results. After the learner has solved the exercise, the grade can be submitted back to the LMS. A similar process can be used to send any kind of data back to the LMS. We describe here how this process works. See Figure 5 to follow the description.Step 1 The activity in the browser sends an event by calling a JavaScript function. This event can be a logging or grading event, for example. When the activity was loaded, the protocol added a client-side JavaScript-library that has a protocol-independent interface for a function that the activity can call. The only requirement for the activity is the ability to call this function if two-way communication is needed.After the visualization has finished, Jsvee visualization calls the client-side sendEvent function to submit a grading event to Acos. Jsvee does not know that LTI protocol is used to launch the exercise, it only knows that the sendEvent function is available.Step 2 The client-side JavaScript protocol library in the browser receives the event. Before the event is sent to Acos, the client-side protocol library can add any needed session or protocolspecific data to it. When the client-side processing is ready, the event is sent as a normal HTTP POST request to Acos using AJAX.The client-side support for the LTI protocol handles the function call and receives the event. A browser searches for the learner id and submission URL which are required by the LTI protocol. These are found in hidden HTML fie...

show abstract

“…Egan and McDonald [9] developed similar tools for the C programming language. Karavirta and Shaffer [20] created an algorithm visualization library to ease web development. Fouh et al [11] designed an interactive eTextbook to visualize computer algorithms.…”

Section: Computing Visualization For Educationmentioning

confidence: 99%

SeeMore: A kinetic parallel computer sculpture for educating broad audiences on parallel computation

Mooring

Blanchard

et al. 2017

Journal of Parallel and Distributed Computing

View full text Add to dashboard Cite

We discuss the design, implementation, and evaluation of a 256-node Raspberry-Pi cluster with kinetic properties. Each compute node is attached to a servo mechanism such that movement results from local computation. The result is SeeMore, a kinetic parallel computer sculpture designed to enable visualization of parallel algorithms in an effort to educate broad audiences as to the beauty, complexity, and importance of parallel computation. The algorithms and interfaces were implemented by students from various related courses at Virginia Tech. We describe these designs in sufficient detail to enable others to build their own kinetic computing sculptures to augment their experiential learning programs. Our evaluations at exhibitions indicate 63% and 84% of visitors enjoyed interacting with SeeMore while 69% and 87% believed SeeMore has educational value.

show abstract

Jsav

Cited by 65 publications

References 19 publications

Seshat — a web‐based educational resource for teaching the most common algorithms of lexical analysis

Seshat — a web‐based educational resource for teaching the most common algorithms of lexical analysis

Improving online learning activity interoperability with Acos server

SeeMore: A kinetic parallel computer sculpture for educating broad audiences on parallel computation

Contact Info

Product

Resources

About