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Antipattern Practice for Essence Practice Library
AbstractThis paper presents an extension for the Practice Library of the Essence language in the form of a practice for working with antipatterns. To...
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Toward Human-centered XAI in Practice: A survey
Human adoption of artificial intelligence (AI) technique is largely hampered because of the increasing complexity and opacity of AI development....
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Teachers’ ICT in pedagogy: A case for mentoring and mirrored practice
The rapid expansion of the knowledge society, due mainly to the ubiquity and access of information and communication technology (ICT), places a...
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Improving Knowledge Learning Through Modelling Students’ Practice-Based Cognitive Processes
Practice is an essential means by which humans and animals engage in cognitive activities. Intelligent tutoring systems, with a crucial component of...
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Example, nudge, or practice? Assessing metacognitive knowledge transfer of factual and procedural learners
Factual knowledge and procedural knowledge are knowing ‘That’ and ‘How,’ respectively, whereas conditional knowledge is the metacognitive knowledge...
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Challenges of responsible AI in practice: sco** review and recommended actions
Responsible AI (RAI) guidelines aim to ensure that AI systems respect democratic values. While a step in the right direction, they currently fail to...
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MGP: a monitoring-based VR interactive mode to support guided practice
Currently, VR training systems are primarily designed according to the non-directive mode supporting independent practice without a real teacher....
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Reform and Practice of Programming Courses’ Construction
The design of course group is an important part of major construction. The construction of course group should be closely focused on the professional...
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Using the online education planned based on anderson’s theory to facilitate the practice learning experiences of nursing students: A phenomenological study
This study aimed to explore nursing students' practice skills learning experiences in online education based on Anderson's Theory and to investigate...
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Enhancing problem-based learning with computational thinking concepts for nursing students in virtual simulation context: Bridging knowledge and practice
Novice nurses often report a disconnect between textbook knowledge and realworld practice which damages their confidence in providing clinical care...
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AI ethics: from principles to practice
Much of the current work on AI ethics has lost its connection to the real-world impact by making AI ethics operable. There exist significant...
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Practice
In this chapter, we will explain how to install an experimental environment based on Python, and present a few examples of basic Python operations...
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Benchmarking JSON Document Stores in Practice
The increasing dissemination of JSON as exchange and storage format through its popularity in business and analytical applications requires efficient...
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Teleporting through virtual environments: benefits of navigational feedback and practice
Virtual environments (VEs) can be infinitely large, but movement of the virtual reality (VR) user is constrained by the surrounding real environment....
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Occupying Another’s Digital Space: Privacy of Smartphone Users as a Situated Practice
A smartphone’s screen is commonly regarded as a private space, and the action of looking at it is usually considered a violation of one’s privacy...
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Lessons Learned from Assessing Trustworthy AI in Practice
Building artificial intelligence (AI) systems that adhere to ethical standards is a complex problem. Even though a multitude of guidelines for the...
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Practice Tasks for Client-Side Blazor
You have already learned a lot from this book, but to truly learn, you have to practice. In this chapter, you will build a couple of projects.
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ARCS approach to PTA-based programming language practice sessions: Factors influencing Programming Problem-Solving Skills
This study used the ARCS approach to investigate the effects of university students’ motivation, including attention, relevance, confidence, and...
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Automatic Zig-Zag sampling in practice
Novel Monte Carlo methods to generate samples from a target distribution, such as a posterior from a Bayesian analysis, have rapidly expanded in the...
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Practice Tasks for Server-Side Blazor
Now that you are done with learning, you need to practice. We will start with two tasks for server-side Blazor and explore its use case further.