Jurika Shakya

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Self-regulated learning, a seminal theory in education psychology, concerns how learners’ regulate their cognitive tactics and strategies. However, research indicates that learners rarely use the optimal learning tactics and strategies. Our system, MI-EDNA formally captures the SRL principles in the ontological framework and we use the Description Logic(More)
Successful mixed initiative systems employ mechanisms that explicitly recognize opportunities for initiatives among the system and the users. In this paper, we propose a theory based framework, founded on the principles of Self Regulated Learning, that recognizes strategies and tactics learners used in their interactions. These interactions are observed(More)
The mechanism of Self-Regulated Learning (SRL) is a complex interactive process involving cognitive selfregulation. Self-regulation is enacted by learners when they form specific learning strategies that they actively or subconsciously adopt in order to enhance their learning experience. Our research concerns the development of a framework that allows for(More)
Online help technologies range from sophisticated graphical interfaces that guide users, to proactive and intelligent tutorial interactions. Introducing ready, able, and willing human helpers in help scenarios has proven to be an important milestone in help technologies. In this paper we argue how techniques of mixed-initiative interactions can be(More)
Anecdotally it seems that some students have a very natural intuitive grasp of physics. Whilst their contemporaries struggle with basic concepts, these expert few are able to understand even difficult concepts with apparent effortless intuition. Assuming that a goal of education is to encourage all students to perform in such a natural manner, one obvious(More)
As part of their education, Computer Science students develop hundreds of computer programs and receive only summative feedback on the end results of their program designs and code. We demonstrate a need for a formative feedback mixed-initiative system able to reflect on the progress of students and identify opportunities to prompt students when they(More)
We provide a general definition of mixed-initiative for application to the area of computer games. This definition is used to provide a survey of the ways in which mixedinitiative has been applied to games up to this point, and where and how mixed-initiative could be applied to improve the quality of games in the future. The need for algorithmic content(More)
Mixed initiative systems rely on knowledge both to know when to take the initiative and to be helpful when they have the initiative. Knowledge is usefully applied data and there is a huge amount of data available in computing systems on almost any topic. However, data is not always able to be usefully applied to a particular situation. This can occur(More)
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