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The integration with Azure Purview extends security visibility in Defender for Cloud from infrastructure resources down into the data, enabling security teams to prioritize resources that contain sensitive data. The new information protection tile in Defender for Cloud shows current scan coverage and a graph with the number of recommendations and alerts by classified resource types.

In addition, we created two new filters in the Defender for Cloud Inventory experience and within Security alerts called Data sensitivity classifications and Data sensitivity labels.

These new options allow security teams to filter specifically for sensitive data and more effectively prioritize the enforcement of security policies and the investigation of alerts across the most sensitive data resources. Lastly, the Resource Health blade now provides additional metadata classification details at the resource level, providing an easy way to view the number of assets that contain sensitive information across the environment. Image: A view of unhealthy resources that have been identified as containing sensitive information.

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Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type. Showing results for. Abstract - Cited by 13 1 self - Add to MetaCart Engaging students in the learning process has been shown to be an effective means for education. Active learning is one such technique that incorporates interactive classroom activities to reinforce concepts and involve the students.

Visualizations of computer science concepts such as algorithm animations can be used for these activities. To be most effective in this environment, they need to be designed and used with active learning in mind. This paper describes the design characteristics of such visualizations, ways of using them in the classroom, and our experience with developing and using visualization tools across different courses in the computer science curriculum.

Cooper, Clifford A. Shaffer, Stephen H. Edwards, Eli Tilevich, Matthew L. Cooper , Abstract - Cited by 10 5 self - Add to MetaCart algorithm visualization, data structure visualization, algorithm animation, algoviz, algoviz wiki, community, open source. Mackworth, David Poole , Abstract - Cited by 10 8 self - Add to MetaCart www. Amershi, N. Arksey, G. Carenini, C. Conati, A. Mackworth, H. Maclaren, D. This paper describes the design of the CIspace interactive visualization tools for teaching and learning Artificial Intelligence.

Our approach to design is to iterate through three phases: identifying pedagogical and usability goals for supporting both educators and students, designing to achieve th Abstract - Cited by 8 7 self - Add to MetaCart This paper describes the design of the CIspace interactive visualization tools for teaching and learning Artificial Intelligence.

Our approach to design is to iterate through three phases: identifying pedagogical and usability goals for supporting both educators and students, designing to achieve these goals, and then evaluating our system. We believe identifying these goals is essential in confronting the usability deficiencies and mixed results about the pedagogical effectiveness of interactive visualizations reported in the Education literature.

The CIspace tools have been used and positively received in undergraduate and graduate classrooms at the University of British Columbia and internationally. We hope that our experiences can inform other developers of interactive visualizations and encourage their use in classrooms and other learning environments.

There are inherent challenges in teaching and learning Artificial Intelligence AI due to the complex dynamics of the many fundamental AI concepts and algorithms.

Interactive visualization tools have the potential to overcome these challenges. However, there are reservations towards adopting intera Abstract - Cited by 2 2 self - Add to MetaCart There are inherent challenges in teaching and learning Artificial Intelligence AI due to the complex dynamics of the many fundamental AI concepts and algorithms.

However, there are reservations towards adopting interactive visualizations due to mixed results on their pedagogical effectiveness. Previous work has also often failed to directly assess student preferences and motivation.

CIspace is a set of nine interactive visualization tools demonstrating fundamental principles in AI. The CIspace tools are currently in use in undergraduate and graduate classrooms at the University of British Columbia and around the world. In this paper, we present two experiments aimed at assessing the effectiveness of one the tools in terms of knowledge gain and user preference. Our results provide evidence that the tool is as effective as a traditionally accepted form of learning in terms of knowledge gain, and that students significantly prefer to use the tools over traditional forms of study.

These results strengthen the case for the incorporation of CIspace, and other interactive visualizations, into courses. Abstract - Add to MetaCart Abstract not found. Design, Human Factors by S. Abstract - Add to MetaCart This paper describes the design of the CIspace interactive visualization tools for teaching and learning Artificial Intelligence. Abstract - Add to MetaCart www. Microsoft Corp by Clifford A. Shaffer, Matthew L.

Cooper, Alexander Joel, D. We present findings regarding the state of the field of Algorithm Visualization AV based on our analysis of a collection of over AVs.