Matching Items (5)
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- All Subjects: Educational Psychology
- Creators: Savenye, Wilhelmina
- Member of: Theses and Dissertations
- Status: Published
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 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
Description
The purpose of this study was to investigate the impacts of visual cues and different types of self-explanation prompts on learning, cognitive load and intrinsic motivation, as well as the potential interaction between the two factors in a multimedia environment that was designed to deliver a computer-based lesson about the human cardiovascular system. A total of 126 college students were randomly assigned in equal numbers (N = 21) to one of the six experimental conditions in a 2 X 3 factorial design with visual cueing (visual cues vs. no cues) and type of self-explanation prompts (prediction prompts vs. reflection prompts vs. no prompts) as the between-subjects factors. They completed a pretest, subjective cognitive load questions, intrinsic motivation questions, and a posttest during the course of the experience. A subsample (49 out of 126) of the participants' eye movements were tracked by an eye tracker. The results revealed that (a) participants presented with visually cued animations had significantly higher learning outcome scores than their peers who viewed uncued animations; and (b) cognitive load and intrinsic motivation had different impacts on learning in multimedia due to the moderation effect of visual cueing. There were no other significant findings in terms of learning outcomes, cognitive load, intrinsic motivation, and eye movements. Limitations, implications and future directions are discussed within the framework of cognitive load theory, cognitive theory of multimedia learning and cognitive-affective theory of learning with media.
ContributorsLin, Lijia (Author) / Atkinson, Robert (Thesis advisor) / Nelson, Brian (Committee member) / Savenye, Wilhelmina (Committee member) / Arizona State University (Publisher)
Created2011
Description
The mathematics test is the most difficult test in the GED (General Education Development) Test battery, largely due to the presence of story problems. Raising performance levels of story problem-solving would have a significant effect on GED Test passage rates. The subject of this formative research study is Ms. Stephens’ Categorization Practice Utility (MS-CPU), an example-tracing intelligent tutoring system that serves as practice for the first step (problem categorization) in a larger comprehensive story problem-solving pedagogy that purports to raise the level of story problem-solving performance. During the analysis phase of this project, knowledge components and particular competencies that enable learning (schema building) were identified. During the development phase, a tutoring system was designed and implemented that algorithmically teaches these competencies to the student with graphical, interactive, and animated utilities. Because the tutoring system provides a much more concrete rather than conceptual, learning environment, it should foster a much greater apprehension of a story problem-solving process. With this experience, the student should begin to recognize the generalizability of concrete operations that accomplish particular story problem-solving goals and begin to build conceptual knowledge and a more conceptual approach to the task. During the formative evaluation phase, qualitative methods were used to identify obstacles in the MS-CPU user interface and disconnections in the pedagogy that impede learning story problem categorization and solution preparation. The study was conducted over two iterations where identification of obstacles and change plans (mitigations) produced a qualitative data table used to modify the first version systems (MS-CPU 1.1). Mitigation corrections produced the second version of the MS-CPU 1.2, and the next iteration of the study was conducted producing a second set of obstacle/mitigation tables. Pre-posttests were conducted in each iteration to provide corroboration for the effectiveness of the mitigations that were performed. The study resulted in the identification of a number of learning obstacles in the first version of the MS-CPU 1.1. Their mitigation produced a second version of the MS-CPU 1.2 whose identified obstacles were much less than the first version. It was determined that an additional iteration is needed before more quantitative research is conducted.
ContributorsRitchey, ChristiAnne (Author) / VanLehn, Kurt (Thesis advisor) / Savenye, Wilhelmina (Committee member) / Hong, Yi-Chun (Committee member) / Arizona State University (Publisher)
Created2018
Description
The purpose of this experimental study was to investigate the effects of textual and visual annotations on Spanish listening comprehension and vocabulary acquisition in the context of an online multimedia listening activity. 95 students who were enrolled in different sections of first year Spanish classes at a community college and a large southwestern university were randomly assigned to one of four versions of an online multimedia listening activity that contained textual and visual annotations of several key words. Students then took a comprehension and vocabulary posttest and a survey to measure cognitive load and general attitudes towards the program. Results indicated that textual annotations had a significant positive effect on listening comprehension and that visual annotations had a significant positive effect on how successful students felt. No statistically significant differences were found for other variables. Participants also reported positive attitudes towards vocabulary annotations and expressed a desire to see more annotations during multimedia listening activities of this type. These findings provide further evidence of the impact that multimedia may have on language acquisition. These findings have implications for multimedia design and for future research. Language listening activities should include a variety of vocabulary annotations that may help students to understand what they hear and to help them learn new vocabulary. Further research is needed outside of the laboratory, in the online and increasingly-mobile language learning environment in order to align the research with the environment in which many students currently study. The incorporation of motivation into multimedia learning theory and cognitive load should be explored, as well as new measures of cognitive load.
ContributorsCottam, Michael Evan (Author) / Savenye, Wilhelmina (Thesis advisor) / Klein, James D. (Committee member) / Atkinson, Robert (Committee member) / Arizona State University (Publisher)
Created2010
Description
Social skill impairments and executive dysfunctions caused by epilepsy adversely affect the social, psychological, and cognitive wellbeing of children and their families.
Studies show that children with epilepsy are exposed to social, emotional, academic, personality, and behavioral problems when compared to healthy peers. This study focused on identifying the gaps between social skills and executive functioning among children with PCDH-19.
The researcher relied on the responses from the sampled population to create reliable findings, discussions, conclusions, and recommendations for this project. The study used quantitative design and self-report approach whereby the participants completed survey that was comprised of various rating scales. The study sample consisted of 25 participants. Results demonstrated a close correlation between social skills and executive functions among the children with PCDH-19 epilepsy. SSIS assessment indicated that children exhibited problems in social skills, academic competence, and behaviors. BRIEF-2 rating showed planning, attention, problem-solving, cognitive and emotional problems. The findings exhibited that the significant challenges encountered by girls with PCDH-19 include low levels of social competence which affect decision making in friendships, communicating, and interaction.
Keywords: social skills, executive functioning, PCDH-19, epilepsy, seizures, social assessment, cognitive measurement
Studies show that children with epilepsy are exposed to social, emotional, academic, personality, and behavioral problems when compared to healthy peers. This study focused on identifying the gaps between social skills and executive functioning among children with PCDH-19.
The researcher relied on the responses from the sampled population to create reliable findings, discussions, conclusions, and recommendations for this project. The study used quantitative design and self-report approach whereby the participants completed survey that was comprised of various rating scales. The study sample consisted of 25 participants. Results demonstrated a close correlation between social skills and executive functions among the children with PCDH-19 epilepsy. SSIS assessment indicated that children exhibited problems in social skills, academic competence, and behaviors. BRIEF-2 rating showed planning, attention, problem-solving, cognitive and emotional problems. The findings exhibited that the significant challenges encountered by girls with PCDH-19 include low levels of social competence which affect decision making in friendships, communicating, and interaction.
Keywords: social skills, executive functioning, PCDH-19, epilepsy, seizures, social assessment, cognitive measurement
ContributorsSmith, Lourdes G (Author) / DiGangi, Samuel (Thesis advisor) / Bryce, Crystal (Committee member) / Barnett, Juliet (Committee member) / Arizona State University (Publisher)
Created2019