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4.3 Educational Technology from a System’s Perspective          75

            interface features, some recent systems have incorporated natural language inter-
            action, speech recognition, and the sensing of learner emotions (Robert et al.,
            2013).


              Extended Reading
              Here is an example of an interaction model involving Microsoft products that
              most have probably used. In Microsoft Word, the interaction model supports
              the conceptual model of users’ putting a piece of paper into a typewriter and
              typing. It also happens to have a lot of features that enable users to format a
              page and content in almost any way they can imagine. But that interaction
              model sits at its core. With Microsoft Excel, the interaction model reflects the
              conceptual model of accountants’ working with accounts in ledgers that
              contain rows of entries and columns of numbers and show a balance. Excel
              has additional features that make it a much richer experience than creating a
              spreadsheet on paper. But at its core is an interaction model that all users can
              internalize quickly. The interaction model for Microsoft PowerPoint reflects
              the conceptual model of users’ writing on a sheet of transparent plastic, then
              placing it on an overhead projector—for those of us who are old enough to
              have actually seen this! The interaction model for each of these products is
              very different, yet each, in itself, is very clear.



            The Typical Example of ITS
            AutoTutor is an intelligent tutoring system developed by researchers at the Institute
            for Intelligent Systems at the University of Memphis in 1997. The goal was to help
            students learn physics, computer literacy, and critical thinking using an intelligent
            tutorial (Graesser, Chipman, Haynes, & Olney, 2005).
              AutoTutor is a computer tutor that helps students learn by holding a conversation
            in natural language (AutoTutor, 2018). It has produced learning gains across
            multiple domains (e.g., computer literacy, physics, critical thinking). Three main
            research areas of AutoTutor are: human-inspired tutoring strategies, pedagogical
            agents, and technology that supports natural language tutoring.

            Key Points in This Chapter


            (1) A system is defined as a set of elements standing in interrelation among
                themselves and within an environment.
            (2) A system can be described in terms of five basic elements: the various com-
                ponents comprising a system; interactions among the components of a system;
                the environment in which the system exists; inputs from the environment to
                the system; outputs from the system to the environment.
            (3) An education system includes four elements of inputs, process, output, and
                environment.
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