Matching Items (16)
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- All Subjects: Motivation
- Creators: Department of Psychology
- Creators: Atkinson, Robert K
- Resource Type: Text
- 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
Researchers have postulated that math academic achievement increases student success in college (Lee, 2012; Silverman & Seidman, 2011; Vigdor, 2013), yet 80% of universities and 98% of community colleges require many of their first-year students to be placed in remedial courses (Bettinger & Long, 2009). Many high school graduates are entering college ill prepared for the rigors of higher education, lacking understanding of basic and important principles (ACT, 2012). The desire to increase academic achievement is a wide held aspiration in education and the idea of adapting instruction to individuals is one approach to accomplish this goal (Lalley & Gentile, 2009a). Frequently, adaptive learning environments rely on a mastery learning approach, it is thought that when students are afforded the opportunity to master the material, deeper and more meaningful learning is likely to occur. Researchers generally agree that the learning environment, the teaching approach, and the students' attributes are all important to understanding the conditions that promote academic achievement (Bandura, 1977; Bloom, 1968; Guskey, 2010; Cassen, Feinstein & Graham, 2008; Changeiywo, Wambugu & Wachanga, 2011; Lee, 2012; Schunk, 1991; Van Dinther, Dochy & Segers, 2011). The present study investigated the role of college students' affective attributes and skills, such as academic competence and academic resilience, in an adaptive mastery-based learning environment on their academic performance, while enrolled in a remedial mathematics course. The results showed that the combined influence of students' affective attributes and academic resilience had a statistically significant effect on students' academic performance. Further, the mastery-based learning environment also had a significant effect on their academic competence and academic performance.
ContributorsFoshee, Cecile Mary (Author) / Atkinson, Robert K (Thesis advisor) / Elliott, Stephen N. (Committee member) / Horan, John (Committee member) / Arizona State University (Publisher)
Created2013
Description
Writing instruction poses both cognitive and affective challenges, particularly for adolescents. American teens not only fall short of national writing standards, but also tend to lack motivation for school writing, claiming it is too challenging and that they have nothing interesting to write about. Yet, teens enthusiastically immerse themselves in informal writing via text messaging, email, and social media, regularly sharing their thoughts and experiences with a real audience. While these activities are, in fact, writing, research indicates that teens instead view them as simply "communication" or "being social." Accordingly, the aim of this work was to infuse formal classroom writing with naturally engaging elements of informal social media writing to positively impact writing quality and the motivation to write, resulting in the development and implementation of Sparkfolio, an online prewriting tool that: a) addresses affective challenges by allowing students to choose personally relevant topics using their own social media data; and b) provides cognitive support with a planner that helps develop and organize ideas in preparation for writing a first draft. This tool was evaluated in a study involving 46 eleventh-grade English students writing three personal narratives each, and including three experimental conditions: a) using self-authored social media post data while planning with Sparkfolio; b) using only data from posts authored by one's friends while planning with Sparkfolio; and c) a control group that did not use Sparkfolio. The dependent variables were the change in writing motivation and the change in writing quality that occurred before and after the intervention. A scaled pre/posttest measured writing motivation, and the first and third narratives were used as writing quality pre/posttests. A usability scale, logged Sparkfolio data, and qualitative measures were also analyzed. Results indicated that participants who used Sparkfolio had statistically significantly higher gains in writing quality than the control group, validating Sparkfolio as effective. Additionally, while nonsignificant, results suggested that planning with self-authored data provided more writing quality and motivational benefits than data authored by others. This work provides initial empirical evidence that leveraging students' own social media data (securely) holds potential in fostering meaningful personalized learning.
ContributorsSadauskas, John (Author) / Atkinson, Robert K (Thesis advisor) / Savenye, Wilhelmina (Committee member) / Liu, Huan (Committee member) / Arizona State University (Publisher)
Created2014
Description
The purpose of this thesis is to explore if any correlation exists between the proposed components of happiness with overall self-perceived happiness. This thesis also explores how introversion and extraversion, gender, and working status affects the proposed components of happiness for college students and how their happiness influences engagement, motivation, preference of organizational culture, and the activities that they engage in. This research was gathered from secondary sources and a survey that was given to undergraduate students at Arizona State University. We found that well-being, gratitude, achievement, psychological empowerment, and affection contribute to both extraverts and introverts' happiness. In addition, we found that extraverts reported higher means than introverts in each factor; including happiness in general and what contributes to it. Contrary to popular belief, our research shows that autonomy either had no correlation or negatively correlates with happiness. In addition, we found that both extraverts and introverts participate in social and nonsocial activities rather than solely on their expected type of activity. Our research also shows that females reported higher means than males on gratitude, achievement, and autonomy. One significant implication of this study is that it can help individuals to better understand themselves and people they interact with.
ContributorsVasquez, Delia (Co-author) / Lopez, Miguel (Co-author) / LePine, Marcie (Thesis director) / Arce, Alma (Committee member) / Barrett, The Honors College (Contributor) / Department of Supply Chain Management (Contributor) / Department of Psychology (Contributor) / School of Accountancy (Contributor)
Created2014-12
Description
Abstract Whether it is an abandoned New Year's Resolution or difficulty controlling procrastination, most can attest to failing to meet a goal. With ubiquitous computing, there is potential to support users' goals on a constant basis with pervasive technology elements such as integrated sensors and software. This study serves as a pilot for the behavior change component of a ubiquitous system, Game as Life, Life as Game (GALLAG), and how goal creation and motivation can be positively altered with the inclusion of a specific framework for users to follow. The study looked to find the efficacy of support tools (goal creation, reflection on past experience, and behavior change techniques and self-tracking) on creating a plan to reach a behavior goal, without the help of technology. Technology was ignored to focus on the effect of a framework for goal and plan generation. Over two weeks, there were 11 participants in the study; data collected was qualitative in the form of three video-recorded interview sessions, with quantitative data in the form of surveys. Participants were presented with support tools and tasked with picking a goal to work towards, as well as creating a plan to reach that goal. It was found that users struggled to create specific and detailed plans, even with the support tools provided, but this improved after the first meeting. Past experience was the most helpful support tool for creating better plans, however participants used this tool before being briefed on it. These results suggest a system should incorporate behavior change, self-tracking, and past experience earlier in the plan creation experience, allowing users a more concrete knowledge of these tools before beginning plan creation. By including these ideas in a framework, GALLAG can later implement that framework to better support users with a physical system. Keywords: behavior change, goal creation, motivation, self-efficacy, ubiquitous computing, pervasive game, human computer interaction
ContributorsAbbruzzese, Eric Robert (Author) / Burleson, Winslow (Thesis director) / Lozano, Cecil (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor)
Created2014-05
Description
The predictors of school engagement in early childhood were examined, and mechanisms to improve classroom engagement levels were proposed for interventionists to consider. Literature was reviewed on the relations of child characteristics (i.e. effortful control, negative emotionality) and environmental characteristics (i.e. teacher-child relationship quality, classroom environment) to children's school engagement. Finally, a logic model was developed to guide future intervention work.
ContributorsBovee, Emily Ann (Author) / Spinrad, Tracy (Thesis director) / Valiente, Carlos (Committee member) / Gaertner, Bridget (Committee member) / Barrett, The Honors College (Contributor) / Department of Psychology (Contributor)
Created2013-05
Description
This case study analyzed the internal controls of a real estate company using the widely accepted COSO framework. Testing of the internal environment and controls was completed using the COSO framework. The major internal control problem identified in the study was a lack of ethical standards in the control environment. In addition to this main problem, inadequate documentation, no separation of duties, and unqualified employees were also identified as violations of effective internal controls. The department of real estate ordered a "cease and desist" on August 8, 2013 due to illegal company activities. The company participated in illegal actions regarding: the trust account and company documentation and procedures. Material weaknesses were found in the company's internal controls; therefore the result of this study was an adverse opinion on internal controls.
ContributorsFrederick, Nicole Lorraine (Author) / Munshi, Perseus (Thesis director) / Benali, Kayla (Committee member) / Barrett, The Honors College (Contributor) / School of Accountancy (Contributor) / Department of Psychology (Contributor)
Created2013-12
Description
Problem solving is a crucial skill needed to accomplish everyday tasks and overcome potential obstacles. One way to measure individual differences in problem solving ability is through performance differences on multiply-constrained problem solving tasks. Multiple cognitive processes are involved in multiply-constrained problem solving. An individual uses prospective metacognitive monitoring judgments to gauge future allocation of resources before engaging in the necessary semantic search. Problem solvers also vary in their semantic search strategies, and use either an active analytical strategy or a passive insight strategy to arrive at asolution. Prospective metacognitive monitoring judgments and solution strategies are two aspects of the problem solving process that occur at specific points in the process while motivation influences problem solving throughout the process. The goal of this study is to examine prospective metacognitive judgments, problem solving accuracy, solution strategy, and motivation in multiply-constrained problem solving. Motivation was manipulated using a performance based monetary incentive. Participants self reported prospective Feeling-of-Knowing judgments after brief exposure to the problem, and solution strategy ratings after each problem. No significant differences were found to support the effect of motivation on problem solving accuracy, prospective metacognitive judgments, relative accuracy, or solution strategies. Significant differences were found between groups when comparing the number of problems skipped, indicating that participants were sensitive to the incentive structure. The findings suggest that motivation may not be an overarching mediator in multiply-constrained problem solving or problem solving may require a specific type of incentive structure to increase accuracy. However, little is known in the research literature about the type of incentive structure needed to consistently increase individual motivation.
ContributorsCohen, Aaron Sayre (Author) / Brewer, Gene (Thesis director) / Ellis, Derek (Committee member) / Department of Psychology (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Cognitive technology has been at the forefront of the minds of many technology, government, and business leaders, because of its potential to completely revolutionize their fields. Furthermore, individuals in financial statement auditor roles are especially focused on the impact of cognitive technology because of its potential to eliminate many of the tedious, repetitive tasks involved in their profession. Adopting new technologies that can autonomously collect more data from a broader range of sources, turn the data into business intelligence, and even make decisions based on that data begs the question of whether human roles in accounting will be completely replaced. A partial answer: If the ramifications of past technological advances are any indicator, cognitive technology will replace some human audit operations and grow some new and higher order roles for humans. It will shift the focus of accounting professionals to more complex judgment and analysis.
The next question: What do these changes in the roles and responsibilities look like for the auditors of the future? Cognitive technology will assuredly present new issues for which humans will have to find solutions.
• How will humans be able to test the accuracy and completeness of the decisions derived by cognitive systems?
• If cognitive computing systems rely on supervised learning, what is the most effective way to train systems?
• How will cognitive computing fair in an industry that experiences ever-changing industry regulations?
• Will cognitive technology enhance the quality of audits?
In order to answer these questions and many more, I plan on examining how cognitive technologies evolved into their use today. Based on this historic trajectory, stakeholder interviews, and industry research, I will forecast what auditing jobs may look like in the near future taking into account rapid advances in cognitive computing.
The conclusions forecast a future in auditing that is much more accurate, timely, and pleasant. Cognitive technologies allow auditors to test entire populations of transactions, to tackle audit issues on a more continuous basis, to alleviate the overload of work that occurs after fiscal year-end, and to focus on client interaction.
The next question: What do these changes in the roles and responsibilities look like for the auditors of the future? Cognitive technology will assuredly present new issues for which humans will have to find solutions.
• How will humans be able to test the accuracy and completeness of the decisions derived by cognitive systems?
• If cognitive computing systems rely on supervised learning, what is the most effective way to train systems?
• How will cognitive computing fair in an industry that experiences ever-changing industry regulations?
• Will cognitive technology enhance the quality of audits?
In order to answer these questions and many more, I plan on examining how cognitive technologies evolved into their use today. Based on this historic trajectory, stakeholder interviews, and industry research, I will forecast what auditing jobs may look like in the near future taking into account rapid advances in cognitive computing.
The conclusions forecast a future in auditing that is much more accurate, timely, and pleasant. Cognitive technologies allow auditors to test entire populations of transactions, to tackle audit issues on a more continuous basis, to alleviate the overload of work that occurs after fiscal year-end, and to focus on client interaction.
ContributorsWitkop, David (Author) / Dawson, Gregory (Thesis director) / Munshi, Perseus (Committee member) / School of Accountancy (Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Marijuana is currently the mostly widely used illicit drug in the U.S., and has been for multiple decades (Johnston et. al., 2016). Despite a growing belief that marijuana use is not harmful, over 4 million Americans have met criteria for marijuana use disorders in the past year alone (CBHSQ, 2015). According to marijuana trajectory studies, about a third of marijuana users will end up quitting later in life, but some \u2014 such as those who meet criteria for dependence \u2014 have a much greater difficultly quitting. Therefore, by looking at marijuana users who were successful in quitting, and comparing them to ongoing adult marijuana users, factors that may assist in helping an individual quit \u2014 such as certain motivations for quitting \u2014 may be identified. To study these issues, data was collected from 507 participants from the Pittsburgh Youth Study. It was found that adolescents who used marijuana weekly for at least one year were likely to be ongoing marijuana users in adulthood and that adolescents who had a warm relationship with their primary caretaker were likely to have quit marijuana by adulthood. It was also found that Black participants were more likely to have legal, monetary, and religious reasons for quitting than were White participants. Furthermore, participants who used regularly in adolescence were likely to list legal reasons, as well as a concern that marijuana use was needed to feel normal. Finally, it was found that not a single motivation for quitting marijuana was associated with a shorter period of abstinence. The implications of these findings for motivations to quit marijuana are the focus of the discussion.
ContributorsGomez, Kira Elise (Author) / Pardini, Dustin (Thesis director) / Glenberg, Arthur (Committee member) / Meier, Madeline (Committee member) / Department of Psychology (Contributor) / School of Art (Contributor) / School of Molecular Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12