knowledgezoom for java: a concept-based exam study tool
TRANSCRIPT
KnowledgeZoom for Java: A Concept-Based Exam Study Tool
with a Zoomable Open Student ModelPeter Brusilovsky, Dhruba Baishya, Roya Hosseini, Julio Guerra, and MinEr Liang
KnowledgeZoom for Java: A Concept-Based Exam Study Tool
with a Zoomable Open Student Model• Problems/Motivation• Our Proposed Approach• Related Work• The KnowledgeZoom Study Tool
– The Knowledge Explorer– The Knowledge Maximizer
• Evaluation• Summary and Future Work
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Problems/Motivation
• Students need special helps to prepare for their final exams within a short time– To review content of the whole semester quickly– To fill up the knowledge gaps precisely
• But most of the existing personalized learning tools focus on regular semester-long studies– Fine-grained concept-based guidance– Coarse-grained topic-based guidance– Social guidance
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Our Proposed Approach
• The Integration of– Fine-grained concept based guidance– Open student modeling with progressive zoom
navigation support (zoomable open student modeling)
– Problem sequencing
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Related Work
• Open Student Modeling• Progressive Zoom Navigation Support• Adaptive Problem Sequencing
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Open Student Modeling
• Student model– A critical component for any adaptive learning
system• Open student model (over last 10 years)
– Visualize student knowledge and progress– Support reflection, self-directed learning, and
transparency– More attractive to students– Usually for individual student
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Progressive Zoom Navigation Support
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MinEr Liang. Progressive Zoom Navigation Support for Personalized E-learning [D].School of Computer Science, Fudan University, 2013.
• Google-like zoomable navigation
• “Step-wise” integration of horizontal exploration and vertical immersion
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Adaptive Problem Sequencing
• One of the oldest techniques for intelligent educational systems– Associative mechanisms– Dynamic problem difficulty – Metadata– Fine-grained concept-level domain model
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The KnowledgeZoom Final Exam Tool
Knowledge Explorer
Knowledge Maximizer
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KnowledgeZoomThe Java Final Exam Tool (1)
• The Domain Model and the Learning Content• The Knowledge Explorer (KE)• The Knowledge Maximizer (KM)
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The KnowledgeZoom Java Final Exam Tool (2)
• The Domain Model and the Learning Content
Java ontology:http://www.sis.pitt.edu/~paws/ont/java.owl
Exercises indexed with the Java ontology
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The KnowledgeZoom Java Final Exam Tool (3)• The Knowledge Explorer (KE)
• A multi-level open student model is visualized with a zoomable Treemap• An overlay model of student’s Knowledge based on the Java ontology• A Treemap node corresponds to a concept in the ontology• Zooming-in to reveal the sub-tree in the ontology (aggregation)• Size: the number of exercises; color: the student’s knowledge level of the concept12
The KnowledgeZoom Java Final Exam Tool (4)
• The knowledge Maximizer(KM)
1. How well is the student prepared to do the activity?
2. What is the impact of the activity?
3. Has the user already completed the activity?
4. How to rank the activity based on the above three factors? (sequencing)
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Evaluation
• Survey Design– A classroom study on a Java course, one week
before the final exam– A undergraduate course at University of
Pittsburgh– 14 students participated– Comparing KnowleddgeZoom with the other two
tools: QuizGuide and Progressor+
Findings (Log Analysis I)Table I: System Usage Summary
• Attempts: the total number of questions attempted• Success Rate: the percentage of correctly answered questions• Distinct Questions: the number of distinct attempted questions• Attempts per question: the number of attempts for doing a question• Sessions: the number of sessions the students worked with the systems
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Findings (Log Analysis II)
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TABLE II: NUMBER OF ATTEMPTS, SUCCESS RATES BY SYSTEM AND COMPLEXITY LEVEL
Easy: A question with 15 or fewer conceptsModerate: A question with 16 to 90 conceptsComplex: A question with 90 or more concepts
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Finings (Student Feedback Analysis)
Main results:• Ten valid feedback forms returned• 80% of the students considered
the KZ system helpful as a whole (A11)
• For KE, 70% considered its interface helpful to identify their knowledge weak points (A2)
• For KM, about 80% of the students considered the ability of KM to generate quizzes that cover many concepts as helpful (A4)
• Students expected better integration of KE and KM
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Summary and Future Work
• Main contribution– Provided an effective tool for students to prepare
their final exam with zoomable open user modeling• Future work
– To implement better connections between KE and KM by integrating concept zooming and question access
– To further investigate how to represent more clearly the users’ knowledge with the Treemaps layout
– To investigate the effect on students’ learning (engagement and awareness)
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Thank you!
• Questions and Feedback?
谢谢
cảm ơn bạn
grazie
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