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Unit 1: Overview of Artificial Intelligence




          who begin to fall behind can receive an instructor’s individualized attention while others can  Notes
          begin to tackle more complex tasks.
          Computer software can mix text, pictures, sound, and motion to provide a variety of options for
          learners. Multimedia software will not be the only classroom resource, but it can contribute
          richness and variety to student work.

          Students can build on their own understanding by using computers as resource tools, as work
          stations for individual learning, or as communication channels to share their ideas with other
          learners. Individual understanding and experiences must be shared and compared to curriculum
          content. By uncovering students’ individual understandings, teachers can determine the influence
          of students’ prior knowledge and further their education through new experience.
          Computers can be used to assist active experiences – gathering data and resources, conversing
          with colleagues, struggling through a challenging puzzle or application – or they can assist in
          reflection. For example, while an online conversation through e-mail is an active event, such
          discussions usually prompt reflection. They help us think about ideas and check our
          understanding. In another reflective application, teachers can enlist computers as authoring
          tools for students’ journals which are excellent vehicles for thoughtful examination of experience.





             Notes Introducing technology into the learning environment can encourage cooperative
            learning and student collaboration. If they are allowed to converse, most students like to
            talk about their computer work and share their strategies. Classroom activities that are
            structured so that computers encourage collaboration build on learners’ desire to
            communicate and share their understanding. It takes planning and intervention to build
            successful cooperative groups with or without computers, but groups that use computers
            as teamwork tools have a better start toward collaborative work.

          Beyond the classroom, computer networking allows students to communicate and collaborate
          with content experts and with fellow students around the globe. Communication tools like
          e-mail, bulletin boards, and chat groups allow teachers to exchange lesson plans and teaching
          strategies and create a professional community.
          The use of real world tools, relevant experiences, and meaningful data inject a sense of purpose
          to classroom activity. Part of the mission of educational institutions is to produce workforce-
          ready graduates who can, among other things, manipulate and analyze raw data, critically
          evaluate information, and operate hardware and software. This technological literacy imparts a
          very important set of vocational skills that will serve students well in the working world.

          Technology has allowed schools to provide greater assistance to traditionally underserved
          populations. Assistive technology such as voice recognition systems, dynamic Braille displays,
          speech synthesizers, and talking books provide learning and communication alternatives for
          those who have developmental or physical disabilities. Research has also shown that computer-
          mediated communication can ease the social isolation that may be experienced by those with
          disabilities. Computers have proved successful in increasing academic motivation and lessening
          anxiety among low ability students and learning disabled students, many of whom simply
          learn in a manner different from that practiced in a traditional, non-technological classroom.

          1.3.8 Voice Recognition (VR)

          In computer science, voice recognition is the translation of spoken words into text. It is also
          known as “automatic speech recognition”, “ASR”, “computer speech recognition”, “speech to




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