Self-regulated learning in higher education : identifying key component processes

The concept of self-regulated learning is becoming increasingly relevant in the study of learning and academic achievement, especially in higher education, where quite distinctive demands are placed on students. Though several key theoretical perspectives have been advanced for self-regulated learning, there is consensus regarding the central role played by student perceptions of themselves as learners. There are two general aims of this positional article. The first is to emphasise self-regulated learning as a relevant and valuable concept in higher education. The second is to promote the study of those constituent elements considered most likely to develop our understanding beyond a mere description of those processes thought to be involved in self-regulated learning. A case is presented for learning style, academic control beliefs and student self-evaluation as key constructs which contribute to an increased understanding of student self-regulated learning and which facilitate the application of self-regulated learning in pedagogy by enhancing its tangibility and utility

Making things happen : a model of proactive motivation

Being proactive is about making things happen, anticipating and preventing problems, and seizing opportunities. It involves self-initiated efforts to bring about change in the work environment and/or oneself to achieve a different future. The authors develop existing perspectives on this topic by identifying proactivity as a goal-driven process involving both the setting of a proactive goal (proactive goal generation) and striving to achieve that proactive goal (proactive goal striving). The authors identify a range of proactive goals that individuals can pursue in organizations. These vary on two dimensions: the future they aim to bring about (achieving a better personal fit within one’s work environment, improving the organization’s internal functioning, or enhancing the organization’s strategic fit with its environment) and whether the self or situation is being changed. The authors then identify “can do,” “reason to,” and “energized to” motivational states that prompt proactive goal generation and sustain goal striving. Can do motivation arises from perceptions of self-efficacy, control, and (low) cost. Reason to motivation relates to why someone is proactive, including reasons flowing from intrinsic, integrated, and identified motivation. Energized to motivation refers to activated positive affective states that prompt proactive goal processes. The authors suggest more distal antecedents, including individual differences (e.g., personality, values, knowledge and ability) as well as contextual variations in leadership, work design, and interpersonal climate, that influence the proactive motivational states and thereby boost or inhibit proactive goal processes. Finally, the authors summarize priorities for future researc

A Multilevel Analysis of the Effect of Prompting Self-Regulation in Technology-Delivered Instruction

We used a within-subjects design and multilevel modeling in two studies to examine the effect of prompting self-regulation, an intervention designed to improve learning from technology-delivered instruction. The results of two studies indicate trainees who were prompted to self-regulate gradually improved their knowledge and performance over time, relative to the control condition. In addition, Study 2 demonstrated that trainees’ cognitive ability and self-efficacy moderated the effect of the prompts. Prompting self-regulation resulted in stronger learning gains over time for trainees with higher ability or higher self-efficacy. Overall, the two studies demonstrate that prompting self-regulation had a gradual, positive effect on learning, and the strength of the effect increased as trainees progressed through training. The results are consistent with theory suggesting self-regulation is a cyclical process that has a gradual effect on learning and highlight the importance of using a within-subjects design in self-regulation. research

Self-Efficacy In Online Learning Environments: A Literature Review

The purpose of this paper was to examine the relationship between self-efficacy and online learning environments. Self-efficacy refers to “beliefs in one’s capabilities to organize and execute the courses of action required to produce given attainments” (Bandura, 1997, p. 3). This paper reviews studies on self-efficacy in online learning environments from 1997 to 2015. Three main categories were discussed: computer self-efficacy, Internet and information-seeking self-efficacy and LMS (Learning Management Systems) self-efficacy. Possible areas of research on self-efficacy in online learning environments were suggested.

Self-efficacy, Locus of Control, Perceived Stress and Student Satisfaction as Correlates of Dissertation Completion

Purpose of the Study Doctoral students face a multitude of challenges in the process of completing their degree, and barriers to the success of doctoral program completion can occur at many different levels. Many factors contribute to dissertation completion or non-completion. Studying the influence of these factors on the task of dissertation completion may result in enhancing dissertation progress and program completion. The purpose of this study is to investigate the role of self-efficacy, locus of control, perceived stress and student satisfaction on dissertation completion among doctoral students in educational psychology at selected university in the United States. Method Survey research method was used as the research platform for this study. Online surveys using Survey Monkey were administered to doctoral student in Educational Psychology from selected universities in the United States. Dissertation self-efficacy was measured with the Dissertation Self-Efficacy Scale (DSES; Varney, 2003). Locus of control was measured with the Responsibility Scale (RS; Kluever & Green, 1998). Perceived Stress was measured with the Perceived Stress Scale (PSS; Cohen, Kamarch & Mermelstein, 1983). Student Satisfaction was measured by a single, straight forward question on how satisfied doctoral candidates and recent graduates were with the dissertation process. Path analysis was used to test the validity of a conceptualized model inter-relating participants’ self-efficacy, locus of control, perceived stress, satisfaction and dissertation/program completion. Results Results indicate that participants in this study reported high levels of self-efficacy, low levels of shared responsibility suggesting that participants believe that students rather than the institution should be in control for tasks associated with dissertation progress; and moderate levels of perceived stress and satisfaction with the dissertation process. Also, the model developed to study the relationships and interrelations between the variables explained 17% of the variance in dissertation progress/completion, primarily by the direct effects of self-efficacy, perceived stress and student satisfaction, and indirectly by locus of control. The model suggested that doctoral candidates are more likely to make progress on their dissertation and complete their programs if they report high selfefficacy and greater satisfaction with the dissertation process, and if they report low levels of institutional responsibility versus personal responsibility, and low or optimal levels of stress. High levels of stress appear to decrease both self-efficacy and satisfaction with the dissertation process. Conclusions An important finding of this study is the direct positive relationship between selfefficacy and student satisfaction with dissertation progress/completion, with self-efficacy being the most important predictor of dissertation completion followed by student satisfaction with the dissertation process. The more doctoral students believe in their ability to complete their dissertations and the more satisfied they are with the dissertation process, the more progress they make and the more likely they are to complete their doctoral program. In summary, high levels of dissertation self-efficacy, low levels of shared responsibility, moderate or optimal levels of stress, and moderate levels of student satisfaction with the dissertation process could enhance program completion of educational psychology doctoral students. Both students and institutions should focus on increasing doctoral candidates’ dissertation self-efficacy, establishing who is responsible for each task involved in the dissertation process, maintaining moderate or optimal levels of stress and reducing high stress when necessary, and also on increasing student satisfaction with the dissertation process by maintaining program quality and encouraging positive and supportive student - advisor relationships

Locus of Control & Motivation Strategies for Learning Questionnaire: Predictors of Student Success on the ATI Comprehensive Predictor Exam & NCLEX-RN Examination

ABSTRACT The two purposes of this study were to determine whether locus of control (LOC) was predictive of how a student would perform on the ATI Comprehensive Predictor Exam and the NCLEX-RN, and if the Motivated Strategies for Learning Questionnaire (MSLQ) provided information that would help determine predictors of success on these two exams. The study examined additional variables prominent in the literature including but not limited to, the number of Cs a person earned while in nursing school, and grades in courses such as pharmacology, pathophysiology, and medical/surgical nursing. The influence of a job was also investigated. It was believed that an individual with an internal locus of control (LOC) would be more likely to be successful on the ATI Comprehensive Predictor Exam and the NCLEX-RN. Internal LOC was found to be statistically significant related to the NCLEX-RN. Using logistic regression a student with an internal LOC when entered into the model with the ATI Comprehensive Predictor Exam was 6.7 times more likely to pass the NCLEX-RN. Using regression analysis this was not found to be true in relationship to the ATI Comprehensive Predictor. The model that was the best predictor of a student's success on the ATI exam included the MSLQ subscales of Test Anxiety, Organization, Self-Regulation, Pharmacology course, the first Medical/Surgical class, Job not healthcare related, and the ATI Medical/Surgical Content Mastery Exam. These seven variables were the best at predicting success. A sub-hypothesis related to student performance on the ATI Medical/Surgical Content Mastery Exam believed that a student with an internal LOC would be more successful, this did not prove to be true. The students with an external LOC had pass rate of 50% on the exam at a Level two proficiency compared to 45.28% passing with an internal LOC. The number of students in the sample that were determined to have an external LOC was very small (n=12) while the results in this study were not statistically significant it is possible that a sample with a larger sample of students with an external LOC may produce different results. An additional finding was a student working in a healthcare related job or not working scored 2.278 points higher on the ATI Comprehensive Predictor Exam than those working in a non-healthcare related job. The second hypothesis examined the MSLQ subscales that were predictive of success on the two exams. In terms of the ATI Comprehensive Predictor Exam the subscales that entered into the model were test anxiety, organization, and self-regulation. When determining the MSLQ subscales that were important related to success on the NLCEX, control of learning beliefs and organization were the only two subscales in the model. Those subscales statistically significant in terms of a student achieving Level 2 proficiency on the ATI Medical/Surgical Content Mastery Exam were test anxiety, rehearsal, organization, and peer learning. When evaluating test anxiety it was determined that as the MSLQ test anxiety score increased for the individual, the odds of passing decreased. Of the individuals with a test anxiety subscale score of 2.9 (scale of 1-7) or less all were successful on the NCLEX-RN. Results indicated that of those students with a test anxiety subscale score of 5.0 or higher, ten students failed the ATI Comprehensive Predictor Exam and four students failed the NCLEX-RN. An additional hypothesis stated that a student's results on the ATI Medical/Surgical Content Mastery Exam would be predictive of his or her performance on the ATI Comprehensive Predictor Exam. This hypothesis was found to be true. A student scoring at Level II proficiency (mastery of content per ATI Faculty Resource Guide, 2007) was likely to score 4.391 points higher than a student at Level 1 proficiency. As the level of proficiency increased so did the percentage of passing the NCLEX-RN. A student who scored below level one had a 58.33% pass rate on NCLEX-RN compared to a level two proficiency pass rate of 92.68%. When looking at student grades in the first medical/surgical course only 70.59% of the students obtaining the letter grade of C passed the NCLEX-RN. The percentage improved with the second medical/surgical course, 80.77% of students with a C passed. Of those students earning a C in pharmacology only 75% of the students passed the NCLEX-RN

The Impact of Personality Characteristics on Online Academic Experience and Performance

The literature has demonstrated clear relationships between personality traits, locus of control, academic self-efficacy, and academic achievement. However, past research has seldom investigated personality characteristics and subjective measures of academic success. The current study investigated how personality impacted the academic experience and grades of university students using an online self-report questionnaire. All measures of personality traits, academic self-efficacy, and locus of control were correlated with measures of a successful online academic experience. Academic self-efficacy was the only significant predictor of life satisfaction, effort regulation, and course value/enjoyment, while locus of control was the single predictor of perceived control over learning. Openness, academic self-efficacy, and locus of control were correlated with students’ final grades, and academic self-efficacy was the only significant predictor. These findings are generally consistent with prior research and suggest that individual differences significantly impact online grades and educational experiences

Fear of failure and academic procrastination among university students: The role of achievement expectancy and year of study

This current study aimed to investigate whether expectancy-value model of achievement choice mediates the relationship between fear of failure (FOF) and academic procrastination (AP) among undergraduate students of Psychology Department at a private university in Malaysia. Based on the Krejcie-Morgan Table and G*Power, 102 undergraduate students (aged 18-24) who enrolled in core subjects were recruited to represent the population via snowball sampling method. PROCESS macro for SPSS was utilized to perform the Bootstrap analysis with 5,000 sampling at 95% confidence interval to test the mediation hypothesis. Results showed a significant positive total effect of FOF on AP and significant negative direct effect of expectancy-value model on academic procrastination, supporting the hypothesis for path c and path b. However, no significant direct effect was found between FOF and expectancy-value model (path a). Mediation did not occur, therefore FOF is still considered a robust and significant predictor of AP among the population of psychology students in the aforementioned university. Furthermore, our results suggested that the aforementioned link did not significantly occur among the first-year students

Identification and Validation of a Predicted Risk-Taking Propensity Model Among General Aviation Pilots

Risk-taking, a persistent topic of interest and concern in aviation, has been linked with unsafe behaviors and accidents. However, risk-taking propensity is a complex construct that encompasses numerous factors still being researched. Even within the limited research available about the factors affecting pilots’ risk-taking propensity, studies have yielded inconsistent results. Therefore, this quantitative study explores existing and novel factors that predict the propensity for risk-taking among general aviation (GA) pilots in the United States. This study, conducted in two stages, involved developing a prediction model using backward stepwise regression to predict pilots’ risk propensity, followed by model fit testing using additional sampling to validate the predicted model. Data was gathered using surveys from multiple local Experimental Aircraft Association (EAA) chapters in Central Florida and from Embry-Riddle Aeronautical University, Daytona Beach campus. In Stage 1, the model was constructed based on data obtained from 100 participants. Stage 2 involved validating the model using responses from another 100 participants who answered the same set of questions as in Stage 1. Model validation encompassed three methods: correlation analysis, t-test, and cross-validity coefficient. The results from these analyses demonstrated a strong fit between the regression model and the Stage 2 data, affirming the accuracy of the prediction model. The analysis identified a model comprising seven significant predictors among a set of 12, accounting for 76% of the variance, with an adjusted R2 of 75%, influencing the risk-taking propensity among GA pilots. These predictors included age, total flight hours, number of flight ratings, number of hazardous events, self-efficacy, psychological distress, and locus of control. Model prediction and cross-validation were employed to enhance the findings’ rigor and generalizability. Practical applications and suggested areas for future studies are also discussed