Matching Items (2)
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Description
This study empirically evaluated the effectiveness of the instructional design, learning tools, and role of the teacher in three versions of a semester-long, high-school remedial Algebra I course to determine what impact self-regulated learning skills and learning pattern training have on students' self-regulation, math achievement, and motivation. The 1st version

This study empirically evaluated the effectiveness of the instructional design, learning tools, and role of the teacher in three versions of a semester-long, high-school remedial Algebra I course to determine what impact self-regulated learning skills and learning pattern training have on students' self-regulation, math achievement, and motivation. The 1st version was a business-as-usual traditional classroom teaching mathematics with direct instruction. The 2rd version of the course provided students with self-paced, individualized Algebra instruction with a web-based, intelligent tutor. The 3rd version of the course coupled self-paced, individualized instruction on the web-based, intelligent Algebra tutor coupled with a series of e-learning modules on self-regulated learning knowledge and skills that were distributed throughout the semester. A quasi-experimental, mixed methods evaluation design was used by assigning pre-registered, high-school remedial Algebra I class periods made up of an approximately equal number of students to one of the three study conditions or course versions: (a) the control course design, (b) web-based, intelligent tutor only course design, and (c) web-based, intelligent tutor + SRL e-learning modules course design. While no statistically significant differences on SRL skills, math achievement or motivation were found between the three conditions, effect-size estimates provide suggestive evidence that using the SRL e-learning modules based on ARCS motivation model (Keller, 2010) and Let Me Learn learning pattern instruction (Dawkins, Kottkamp, & Johnston, 2010) may help students regulate their learning and improve their study skills while using a web-based, intelligent Algebra tutor as evidenced by positive impacts on math achievement, motivation, and self-regulated learning skills. The study also explored predictive analyses using multiple regression and found that predictive models based on independent variables aligned to student demographics, learning mastery skills, and ARCS motivational factors are helpful in defining how to further refine course design and design learning evaluations that measure achievement, motivation, and self-regulated learning in web-based learning environments, including intelligent tutoring systems.
ContributorsBarrus, Angela (Author) / Atkinson, Robert K (Thesis advisor) / Van de Sande, Carla (Committee member) / Savenye, Wilhelmina (Committee member) / Arizona State University (Publisher)
Created2013
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Description
This study explored the Web resources used by four students enrolled in an introductory university-level Medical Translation course over a period of one semester. The research examined the students’ use of time, information needs and searches, and whether user attributes (translation experience and training, specialization and familiarity with the text,

This study explored the Web resources used by four students enrolled in an introductory university-level Medical Translation course over a period of one semester. The research examined the students’ use of time, information needs and searches, and whether user attributes (translation experience and training, specialization and familiarity with the text, previous Web search training, and effort) or task-related factors (perceived task difficulty) had a relationship with the Web searching behavior of the participants. The study also investigates how this behavior might have been reflected in the quality of the product. The study focused on two translation tasks extracted from medical texts selected by the instructor that had to be translated from English into Spanish. Data was gathered by means of various instruments: translated texts, Think-Aloud Protocols, computer screen recordings, and questionnaires. The results of the data gathered from these instruments were triangulated in an effort to find relationships between the translation process and the translation product. Results were analyzed both qualitatively and quantitatively.

The findings of the study revealed that the students spent a considerable amount of time looking for information on the Web during their translation assignments, and that the students exhibited an inclination toward bilingual Web sources. An analysis of user attributes suggested that translation experience might have had a relationship with the resources used, and the frequency of their use. Data showed that the more experienced students in the translation program received higher scores in their translations. It was also found that the higher the level of familiarity with the topic, the fewer the number of total searches. In addition, previous Web search training appeared to have a relationship with where and how information was sought. It was observed that in one of the two translation tasks, the more effort the students declared, the more Web searches they carried out. A look at perceived task difficulty indicated that in one of two tasks, this factor had an impact on the number of Web searches, which in turn, seemed to influence the time spent on the translation process, and the translation scores.
ContributorsFernández, Ofelia (Author) / Lafford, Barbara A. (Thesis advisor) / Beaudrie, Sara M. (Committee member) / Cerrón-Palomino, Álvaro U (Committee member) / Arizona State University (Publisher)
Created2015