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The purpose of this study was to empirically evaluate the effects of the Math to Mastery intervention package versus the effects of immediate corrective feedback with elementary school students who were performing at least one year below grade level in mathematics. Students were participants in a one-month summer academic clinic for remediation of reading, writing, and mathematics deficits held at a university in the southeastern United States. A combined-series multiple baseline design across participants was used to evaluate the effects of both interventions for gains in fluency as measured by digits correct per minute on one minute curriculum-based measurement probes. Implications for implementation in applied settings and future research are provided.

The purpose of the present study was to examine the relative effectiveness of two different ways of operationalizing a mastery experience in an e-mail based fitness walking program. Mastery experiences are considered the best way to increase exercise self-efficacy (Bandura, 1997), which is strongly associated with regular physical activity, but little research has systematically explored how effective mastery experiences can be developed. Fifty-nine sedentary adult women were randomly assigned to a mastery experience group (n=29) that operationalized mastery experiences in a manner consistent with Bandura's social cognitive theory, or to a standard care group (n=30) that operationalized mastery experiences in a manner consistent with standard care. Both intervention conditions received the same physical activity prescription and were designed to promote equivalent levels of contact with the experimenter over the 12-week program. The effects of the program were examined on overall adherence to the program, one-mile walk test times, estimated VO2max, social cognitive outcomes, and program evaluation ratings. Both the mastery experience group and the standard care group had similar levels of adherence to the program. The mastery experience group demonstrated a significantly greater improvement in one-mile walk test time than the standard care group. Although the mastery experience group also showed a larger increase in estimated VO2max than the standard care group, this difference did not reach significance. The mastery experience group had significantly greater increases in goal-setting relative to the standard care group, but the intervention did not show any differences between the two groups on three measures of self-efficacy. In program evaluation ratings, the mastery experience group demonstrated greater satisfaction with the program than the standard care group. / Ph. D.

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published_or_final_version / Education / Master / Master of Education

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The social cognitive theory of Depression proposed by Rothbaum et al. (2008) integrates theory originating from the motivation, cognitive and rumination literature. Following stressors, those with vulnerable self-beliefs are predicted to adopt performance goals that aim to avoid threats to self-worth, necessitating protective mechanisms like rumination. Both the goals themselves and rumination serve to protect self-worth but are proposed to have depressogenic consequences. This theory, combined with literature on contingent self-worth and trait rumination in depression, led to an elaborated social cognitive model whereby rumination mediates the relationship between goal orientation and depression. The current study aimed to test this model. Seventy two healthy participants participated in an experimental manipulation of goal orientation prior to a difficult anagram task and rated their sadness, anxiety, and state rumination following a stressor and during a subsequent sustained attention task. The results suggested many of the hypotheses about condition differences were not supported and this may have been due to an unsuccessful task goal manipulation. However extrinsic contingent self-worth based on other’s approval was found to moderate the effect of goal orientation on task based depressive affect and rumination. For those reporting high contingent self-worth based on other’s approval, cuing a performance goal was related to significantly higher sadness and rumination following a stressor than cuing mastery goal. Findings suggest that therapy specifically focusing on assessing extrinsic contingent self-worth and associated vulnerable self-beliefs, and encouraging the adoption of mastery goals may be therapeutically beneficial in making people less reactive to stressful life events.

Many online learning technologies grant students great autonomy and control, which imposes high demands for self-regulated learning (SRL) skills. With the fast development of online learning technologies, helping students acquire SRL skills becomes critical to student learning. Theories of SRL emphasize that making problem selection decisions is a critical SRL skill. Research has shown that appropriate problem selection that fit with students’ knowledge level will lead to effective and efficient learning. However, it has also been found that students are not good at making problem selection decisions, especially young learners. It is critical to help students become skilled in selecting appropriate problems in different learning technologies that offer learner control. I studied this question using, as platform, a technology called Intelligent Tutoring Systems (ITSs), a type of advanced learning technology that has proven to be effective in supporting students’ domain level learning. It has also been used to help students learn SRL skills such as help-seeking and self-assessment. However, it is an open question whether ITS can be designed to support students’ learning of problem selection skills that will have lasting effects on their problem selection decisions and future learning when the tutor support is not in effect. ITSs are good at adaptively selecting problems for students based on algorithms like Cognitive Mastery. It is likely, but unproven, that ITS problem selection algorithms could be used to provide tutoring on students’ problem selection skills through features like explicit instructions and instant feedback. Furthermore, theories of SRL emphasize the important role of motivations in facilitating effective SRL processes, but not much prior work in ITS has integrated designs that could foster the motivations (i.e., motivational design) to stimulate and sustain effective problem selection behaviors. Lastly, although students generally appreciate having learner control, prior research has found mixed results concerning the effects of learner control on students’ domain level learning outcomes and motivation. There is need to investigate how learner control over problem selection can be designed in learning technologies to enhance students’ learning and motivation. My dissertation work consists of two parts. The first part focuses on creating and scaffolding shared student/system control over problem selection in ITSs by redesigning an Open Learner Model (OLM, visualizations of learning analytics that show students’ learning progress) and integrating gamification features to enhance students’ domain level learning and enjoyment. I conducted three classroom experiments with a total of 566 7th and 8th grade students to investigate the effectiveness of these new designs. The results of the experiments show that an OLM can be designed to support students’ self-assessment and problem selection, resulting in greater learning gains in an ITS when shared control over problem selection is enabled. The experiments also showed that a combination of gamification features (rewards plus allowing re-practice of completed problems, a common game design pattern) integrated with shared control was detrimental to student learning. In the second part of my dissertation, I apply motivational design and user-centered design techniques to extend an ITS with shared control over problem selection so that it helps students learn problem selection skills, with a lasting effect on their problem selection decisions and future learning. I designed a set iv of tutor features that aim at fostering a mastery-approach orientation and learning of a specific problem selection rule, the Mastery Rule. (I will refer to these features as the mastery-oriented features.) I conducted a fourth classroom experiment with 200 6th – 8th grade students to investigate the effectiveness of shared control with mastery-oriented features on students’ domain level learning outcomes, problem selection skills and enjoyment. This experiment also measured whether there were lasting effects of the mastery-oriented shared control on students’ problem selection decisions and learning in new tutor units. The results of the experiment show that shared control over problem selection accompanied by the mastery-oriented features leads to significantly better learning outcomes, as compared to full system-controlled problem selection in the ITS. Furthermore, the mastery-oriented shared control has lasting effects on students’ declarative knowledge of problem selection skills. Nevertheless, there was no effect on future problem selection and future learning, possibly because the tutor greatly facilitated problem selection (through its OLM and badges). My dissertation contributes to the literatures on the effects of learner control on students’ domain level learning outcomes in learning technologies. Specifically, I have shown that a form of learner control (i.e., shared control over problem selection, with mastery-oriented features) can lead to superior learning outcomes than system-controlled problem selection, whereas most prior work has found results in favor of system control. I have also demonstrated that Open Learner Models can be designed to enhance student learning when shared control over problem selection is provided. Further, I have identified a specific combination of gamification features integrated with shared control that may be detrimental to student learning. A second line of contributions of my dissertation concerns research on supporting SRL in ITSs. My work demonstrates that supporting SRL processes in ITSs can lead to improved domain level learning outcomes. It also shows that the shared control with mastery-oriented features have lasting effects on improving students’ declarative knowledge of problem selection skills. Regarding using ITSs to help students learn problem selection skill, the user-centered motivational design identifies mastery-approach orientation as important design focus plus tutor features that can support problem selection in a mastery-oriented way. Lastly, the dissertation contributes to human-computer interaction by generating design recommendations for how to design learner control over problem selection in learning technologies that can support students’ domain level learning, motivation and SRL.