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Dive into the research topics where Michael Yacci is active.

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Featured researches published by Michael Yacci.


Lecture Notes in Computer Science | 2005

The promise of automated interactivity

Michael Yacci

This paper discusses issues and potential methods that can be applied to create instruction and interactive instructional material automatically from knowledge components. Knowledge management systems generally promote a static recombination of text and images, with little concern as to how these objects and components will actually work as useful, well-designed instruction. Interactivity itself has historically been poorly defined; the structural model of interactivity created an operational definition of instructional interactivity that will be used as the basis for the discussion of automated interactivity. A prototype system that uses automated interactivity in diagnosis is illustrated.


InSITE 2008: Informing Science + IT Education Conference | 2008

Active Learning for Classroom Management Model

Keith J. Whittington; Michael Yacci

This paper proposes the Active Learning for Classroom Management Model as a method to structure active learning experiences. The model was devised and tested in an Introductory Computer Programming course. Stages in the model are explained with examples of classroom activities. The model was evaluated twice in series of quasi-experiments and limited support was provided for improved student performance through the use of the model.


Proceedings of the 2012 iConference on | 2012

Student information consumption strategies: implications of the Google effect

Michael Yacci; Evelyn P. Rozanski

Previous research in the area of distributed cognition within the educational process has revealed several new and emerging phenomena regarding student behavior. Students appear to be strategically discriminating in their learning strategies, taking the opportunity to offload learning when information is easily accessible and retrievable. This paper reviews several current research findings, and offers societal implications.


Archive | 2010

Performance Categories: Task-Diagnostic Techniques and Interfaces

Michael Yacci

The application of diagnostic techniques must consider two major factors: the type of expected human performance task and the diagnostic delivery interface. This chapter describes two major categories of human performance that require different diagnostic techniques: (1) prescribed tasks and (2) discretionary tasks. We then describe alternative interfaces that can be used in diagnostic situations for these performance categories, including hierarchical prerequisite templates, text chat bots, and embodied conversational agents.


Performance Improvement Quarterly | 2008

The Knowledge Warehouses Reusing Knowledge Components

Michael Yacci


EdMedia: World Conference on Educational Media and Technology | 2004

Operations and Strategy Learning in Edutainment Interfaces

Michael Yacci; Haake Anne; Evelyn P. Rozanski


Society for Information Technology & Teacher Education International Conference | 2004

Game-Based Learning: Structures and Outcomes

Michael Yacci


EdMedia: World Conference on Educational Media and Technology | 2004

Conversational Diagnostic Agent

Michael Yacci; Peter Lutz


EdMedia: World Conference on Educational Media and Technology | 2010

Personification and Practical Dialogues in a Kiosk Agent

Michael Yacci; Mark Marcello


EdMedia: World Conference on Educational Media and Technology | 2001

Factors Contributing to Ideal Instructional Interactivity

Michael Yacci; Paul Hyman

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Evelyn P. Rozanski

Rochester Institute of Technology

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Keith J. Whittington

Rochester Institute of Technology

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Anne R. Haake

Rochester Institute of Technology

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Haake Anne

Rochester Institute of Technology

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Mark Marcello

Rochester Institute of Technology

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Paul Hyman

Rochester Institute of Technology

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Peter Lutz

Rochester Institute of Technology

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Stephen Stoll

Rochester Institute of Technology

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