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          <dc:identifier>https://hdl.handle.net/2286/R.I.55645</dc:identifier>
                  <dc:rights>http://rightsstatements.org/vocab/InC/1.0/</dc:rights>
                  <dc:date>2019</dc:date>
                  <dc:format>iv, 44 pages : color illustrations</dc:format>
                  <dc:type>Masters Thesis</dc:type>
          <dc:type>Academic theses</dc:type>
          <dc:type>Text</dc:type>
                  <dc:language>eng</dc:language>
                  <dc:contributor>Lefevre, Maryssa</dc:contributor>
          <dc:contributor>Craig, Scotty</dc:contributor>
          <dc:contributor>Roscoe, Rod</dc:contributor>
          <dc:contributor>Branaghan, Russ</dc:contributor>
          <dc:contributor>Arizona State University</dc:contributor>
                  <dc:description>Partial requirement for: M.S., Arizona State University, 2019</dc:description>
          <dc:description>Includes bibliographical references (pages 36-38)</dc:description>
          <dc:description>Field of study: Human systems engineering</dc:description>
          <dc:description>The utilization of multimedia videos has increasingly become more popular, especially in the field of education. In order to facilitate learning it is important to create a natural interaction between the learner and the on-screen material. This study focused on improving the facilitation of the information within a multimedia learning video by focusing on the gender and quality of computer-synthesized voices. Using a randomized pretest - posttest design the study looked at how the gender of the narrator affected a person&#039;s ability to learn and implement a new task. Narration was performed by a male and female, classic and modern synthesized voices to determine if there were gender effects across both generations of voices. The participants’ learned knowledge was assessed through a multiple-choice assessment and a word to image matching transfer assessment. Results showed no significant results. Future studies should consider a more reliable knowledge assessment and utilize and larger sample size.</dc:description>
                  <dc:subject>Multimedia communications</dc:subject>
          <dc:subject>multimedia learning</dc:subject>
          <dc:subject>participant gender</dc:subject>
          <dc:subject>voice gender</dc:subject>
          <dc:subject>voice quality</dc:subject>
          <dc:subject>Sex differences in education</dc:subject>
          <dc:subject>Speech synthesis</dc:subject>
          <dc:subject>Multimedia communications--Psychological aspects.</dc:subject>
          <dc:subject>Multimedia communications</dc:subject>
          <dc:subject>Voice in education--Psychological aspects.</dc:subject>
          <dc:subject>Voice in education</dc:subject>
          <dc:subject>Oral communication--Psychological aspects.</dc:subject>
          <dc:subject>Oral communication</dc:subject>
          <dc:subject>Communication--Sex differences.</dc:subject>
                  <dc:title>The impact of the narrator&#039;s gender on multimedia learning</dc:title></oai_dc:dc></metadata></record></GetRecord></OAI-PMH>
