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1.
ABSTRACT

Motivation and self-regulation were examined in a sample of community college transfer students enrolled in a 4-year, online university. The relation between motivation and self-regulation and students’ performance was examined, as was the association between these learner characteristics (i.e., motivation and self-regulation) and sociodemographic factors (e.g., marital status, employment status). Motivation was found to be significantly correlated with both semester and cumulative grade point average (GPA), while associations between self-regulation and performance were more limited. Further, motivation was found to be a significant predictor of semester GPA in a model controlling for sociodemographic factors and prior achievement. Motivation and self-regulation were also found to differ according to students’ sociodemographic status. For instance, transfer students with children under 18 were found to have significantly higher levels of motivation than nonparents. Those employed full-time had lower levels of self-regulation than did their nonemployed peers. Implications for further research on community college transfer students and online learning are discussed.  相似文献   

2.
Abstract

In this qualitative comparison study, we examine the perceived efficacy of using personalized learning (PL) activities based on PL principles to support students’ psychological need satisfaction and intrinsic motivation in an online course using a traditional one-size-fits-all model. We apply self-determination theory as a framework to investigate students’ perceptions of their psychological need satisfaction (e.g., competence, autonomy, and relatedness) and relation to students’ intrinsic motivation when enrolled in an online course implementing PL principles. Overall, the study results showed the potential of implementing personalized learning principles in online courses to support students’ psychological need satisfaction (e.g., autonomy and competence) and intrinsic motivation. Furthermore, students perceived the PL interventions as engaging and effective in meeting their learning needs and interests.  相似文献   

3.
This study examines the major factors that may hinder or enable the adoption of e-learning systems by university students in developing (Qatar) as well as developed (USA) countries. To this end, we used extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) with Trust as an external variable. By means of an online survey, data were collected from 833 university students from a university in Qatar and another from USA. Structural equation modelling was employed as the main method of analysis in this study. The results show that performance expectancy, hedonic motivation, habit and trust are significant predictors of behavioural intention (BI) in both samples. However, contrary to our expectation, the relationship between price value and BI is insignificant. Our results also show that effort expectancy and social influence lead to an increase in students’ adoption of e-learning systems in developing countries but not in developed countries. Moreover, facilitating conditions increase e-learning adoption in developed countries which is not the case in developing countries. Overall, the proposed model achieves an acceptable fit and explains its variance for 68% of the Qatari sample and 63% of the USA sample. These results and their implications to both theory and practice are described.  相似文献   

4.
Since the turn of the century, an increasing number of low-stakes assessments (i.e., assessments without direct consequences for the test-takers) are being used to evaluate the quality of educational systems. Internationally, research has shown that low-stakes test results can be biased due to students’ low test-taking motivation and that students’ effort levels can vary throughout a testing session involving both cognitive and noncognitive tests. Thus, it is possible that students’ motivation varies throughout a single cognitive test and in turn affects test performance. This study examines the change in test-taking motivation within a 2-h cognitive low-stakes test and its association with test performance. Based on expectancy-value theory, we assessed three components of test-taking motivation (expectancy for success, value, and effort) and investigated its change. Using data from a large-scale student achievement study of German ninth-graders, we employed second-order latent growth modeling and structural equation modeling to predict test performance in mathematics. On average, students’ effort and perceived value of the test decreased, whereas expectancy for success remained stable. Overall, initial test-taking motivation was a better predictor of test performance than change in motivation. Only the variability of change in the expectancy component was positively related to test performance. The theoretical and practical implications for test practitioners are discussed.  相似文献   

5.
本研究以技术接受与使用整合理论(UTAUT)为基础,通过对北京大学等四所高校教师网络教学方式采纳情况进行调查,探讨了影响高校教师网络教学方式持续使用意向及使用水平的因素。研究结果显示:绩效期望、努力期望和社会影响会直接正向影响高校教师的网络教学方式持续使用意向,进而影响其网络教学方式的使用水平;教师的网络教学方式持续使用意向和促进条件对网络教学方式的使用水平均有显著影响。此外,性别、网络教学经验会调节社会影响对持续使用意向的影响,年龄会调节绩效期望对持续使用意向以及促进条件对使用水平的影响。最后,文章根据研究结果提出了政策建议及未来研究方向。  相似文献   

6.
With the proliferation of mobile computing technology, mobile learning (m-learning) will play a vital role in the rapidly growing electronic learning market. M-learning is the delivery of learning to students anytime and anywhere through the use of wireless Internet and mobile devices. However, acceptance of m-learning by individuals is critical to the successful implementation of m-learning systems. Thus, there is a need to research the factors that affect user intention to use m-learning. Based on the unified theory of acceptance and use of technology (UTAUT), which integrates elements across eight models of information technology use, this study was to investigate the determinants of m-learning acceptance and to discover if there exist either age or gender differences in the acceptance of m-learning, or both. Data collected from 330 respondents in Taiwan were tested against the research model using the structural equation modelling approach. The results indicate that performance expectancy, effort expectancy, social influence, perceived playfulness, and self-management of learning were all significant determinants of behavioural intention to use m-learning. We also found that age differences moderate the effects of effort expectancy and social influence on m-learning use intention, and that gender differences moderate the effects of social influence and self-management of learning on m-learning use intention. These findings provide several important implications for m-learning acceptance, in terms of both research and practice.  相似文献   

7.
Abstract

Despite the frequently reported association of characteristics of assessment policies with academic performance, the mechanisms through which these policies affect performance are largely unknown. Therefore, the current research investigated performance, motivation and self-regulation for two groups of students following the same statistics course, but under two assessment policies: education and child studies (ECS) students studied under an assessment policy with relatively higher stakes, a higher performance standard and a lower resit standard, compared with Psychology students. Results show similar initial performance, but more use of resits and higher final performance (post-resit) under the ECS policy compared with the psychology policy. In terms of motivation and self-regulation, under the ECS policy significantly higher minimum grade goals, performance self-efficacy, task value, time and study environment management, and test anxiety were observed, but there were no significant differences in aimed grade goals, academic self-efficacy and effort regulation. The relations of motivational and self-regulatory factors with academic performance were similar between both assessment policies. Thus, educators should be keenly aware of how characteristics of assessment policies are related to students’ motivation, self-regulation and academic performance.  相似文献   

8.
This study explored how elementary teachers leveraged and structured student-involved formative assessment to promote metacognition and self-regulation. Research has suggested a connection between formative assessment practices (e.g., self-assessment and peer-assessment) and metacognition. However, this connection has limited empirical support, especially within early elementary contexts (i.e. Grades K-4). In this study, 44 Ontario elementary teachers completed a survey reporting their teaching and assessment practices and beliefs about metacognition. Five participants were then purposefully selected for semi-structured interviews to describe their experiences developing students’ metacognition and self-regulatory capabilities through student-involved assessment processes. Data were inductively and thematically analysed. Participants emphasized the value of assessment as learning practices (e.g., self-assessment and reflective thinking) to develop students’ metacognition and discussed the need for ongoing student feedback regarding metacognitive strategies. However, despite purposefully implementing formative assessment to enhance metacognition and self-regulation, participants articulated the need for additional resources to support the cultural shift towards assessment for and as learning within their classrooms.  相似文献   

9.
This study was designed to examine performance as a function of grade and course satisfaction in online undergraduate level courses, specifically students' self-efficacy for online technologies and self-regulated learning strategies. This research included a sample (N = 815) of community college students enrolled in liberal arts online courses during a single semester. The results of this study showed that online technologies self-efficacy scores were not correlated with student performance. Of the Motivated Strategies for Learning Questionnaire subscales, time and study environment and effort regulation were significantly related to performance. Students who scored higher on these subscales received higher final grades. In addition, rehearsal, elaboration, metacognitive self-regulation, and time and study environment were significantly positively correlated with levels of satisfaction.  相似文献   

10.
ABSTRACT

Studies show that technology can have a positive influence on student achievement and motivation; however, the use of technology for educational purposes is rather modest. Research has shown teachers’ attitudes to be a key aspect of technology use. However, there is no agreement on which attitudes we should focus on. The aim of the present study was to determine which attitudes may be differentiated empirically in a sample of STEM teachers in the context of mobile devices in teaching and to what extent these factors help to predict willingness to use mobile devices. The study was conducted among 377 STEM-subject teachers. The results showed that performance expectancy, effort expectancy and technology attitude are highly correlated for teachers. It would appear that social aspects (social influence and facilitating conditions) may serve as facilitators for teachers’ attitudes in the model, predicting 52.5% of teachers’ behavioural intention to use mobile devices for teaching.  相似文献   

11.
ABSTRACT

Learning outcomes is mediated by multi-channel learning environment and social engagement. Both factors may play a significant role in understanding motivation to learn in massive open online courses (MOOCs). The goal of this study was twofold: a. to compare behavior intention patterns of traditional e-learning platform and MOOCs participants; b. to examine relationships between behavior intention and perceived social support. Therefore, this study applies the concepts of technology acceptance model and social support theory to examine the underlying the determinants of learners’ continuance intention factors for MOOCs in Taiwan. In addition, this study adopts perceived convenience, computer self-efficacy, sense of community, and perceived gains as the constructs of social support perspective. Our examination reveals that sense of community, and perceived gains influence learners’ behavior intention of both general e-learning platform and MOOCs. However, perceived convenience and computer self-efficacy did not influence learners’ behavior intention for traditional e-learning platform, but still have efforts for MOOCs. In summary, our results show that the social support theory and technology acceptance model could be the suitable examination model to investigate the behavioral intentions for MOOCs. These findings have significant theoretical and managerial implications.  相似文献   

12.
While statistics is an essential topic for business students, many students experience barriers to successful learning due to anxiety, motivation, or difficulty with quantitative understanding. This research examines the use of online videos with an effort to explore the relationship between student characteristics, video usage, and course performance measures. In addition, the study examines student perceptions of the supplemental resources in an effort to examine the efficacy related to student learning and performance. This study seeks to confirm previous research regarding the benefit of supplemental video resources and extend the knowledge base by understanding the impact for various types of students (e.g., level of course, level of previous academic performance, etc.). The study found that the use of the video resources varies based on students’ previous math performance and the difficulty of the material. Student ratings indicate that the videos were helpful in learning the content and that they provided an important resource when students needed additional tools to master the material. Analysis of the results provides implications for understanding how different students use online videos and offers recommendations for educators and researchers about how to enhance student success in difficult statistics coursework.  相似文献   

13.
This study investigated the relation between motivational goals and university intentions, school valuing and school achievement. The premise of this study is that motivational goals play a key role in academic values and achievement. Confirmatory factor analysis was conducted to establish the construct validity of the motivational measures drawn from the Inventory of School Motivation (ISM): mastery (effort and task), performance (competition and social power), social solidarity (social concern and affiliation), extrinsic (praise and token). A set of eight regression analyses was conducted to examine the relations among these eight motivational measures, future goals to attend college, the value of school and six school subjects. Eight regression equations revealed that effort and task were the most significant predictors of the dependent variables of university intention, valuing school and school achievement scores. Students in Qatar exhibited ‘effort and task’ in goal motivation in relation to students’ beliefs regarding future academic goals and achievement scores in school subjects. As Qatar is a highly gender-segregated society, analyses were also conducted by gender.  相似文献   

14.
The personal attributes of self-regulated learning are often described in terms of knowledge base, adaptive motivational beliefs, and appropriate use of cognitive and metacognitive strategies for learning. These attributes are usually assumed to apply across all disciplines and contexts, but there has been little research that has examined the disciplinary differences in these personal attributes of self-regulated learning. The present study examined college students’ knowledge, motivation, and self-regulatory learning strategies in humanities, social science, and natural science college courses. The sample included 380 college students from three different institutions. Students were given a measure of their course knowledge and a self-report measure of their motivational beliefs and use of self-regulatory strategies at the beginning and end of the semester. Three levels of achievement were created from final course grade and ANOVA's were used to examine the differences in knowledge, motivation, and self-regulation by achievement level and discipline. The results suggest that the components of knowledge, motivation, and self-regulation do distinguish high from low achievers in social and natural science courses, but not in the humanities courses. Results are discussed in terms of the generalizability of our models of self-regulated learning across disciplines and implications for measuring self-regulated learning in different disciplines.  相似文献   

15.
This study investigated the influence of pre-service teachers’ (n = 142) perceived endogenous/exogenous instrumentality, goal commitment, and intrinsic/extrinsic motivation on their use of self-regulation strategies (effort regulation, management of time and study environment) for their teacher-education courses. Data were drawn from a customised survey and were statistically analysed using hierarchical multiple regressions. Results demonstrated that pre-service teachers’ endogenous instrumentality was a significant contributor for explaining their use of self-regulation strategies. To facilitate pre-service teachers’ use of self-regulation strategies for learning, our findings suggest that, in addition to having intrinsic motivation for learning in their teacher-education courses, they need to have appropriate understandings of how their current course content connects to their future goals to be teachers in order to promote their use of strategies for self-regulation and learning.  相似文献   

16.
The primary aim of this study was two-fold: 1) to identify salient psychosocial features of the classroom environment that influence students’ motivation and self-regulation in science learning; and 2) to examine the effect of the motivational constructs of learning goal orientation, science task value and self-efficacy in science learning on students’ self-regulation in science classrooms. Data collected from 1360 science students in grades 8, 9 and 10 in five public schools in Perth, Western Australia were utilized to validate the questionnaires and to investigate the hypothesized relationships. Structural Equation Modeling analysis suggested that student cohesiveness, investigation and task orientation were the most influential predictors of student motivation and self-regulation in science learning. In addition, learning goal orientation, task value and self-efficacy significantly influenced students’ self-regulation in science. The findings offer potential opportunities for educators to plan and implement effective pedagogical strategies aimed at increasing students’ motivation and self-regulation in science learning.  相似文献   

17.
The self-regulation of learning behavior is an important key competence for university students. In this presented study, we aimed at fostering students’ self-regulation of learning by means of a standardized learning journal. In two of four courses that were included in the study, students had to keep a structured learning diary and/or received further intervention on self-regulated learning through a weekly course. Students who received these interventions were compared to students who received no treatment whatsoever in their self-regulation and learning achievement. The study reports pre–post measures as well as process analyses. Results revealed that keeping a structured learning diary without any further intervention did not improve students’ self-regulation. Those students who only kept learning diaries even showed a decrease in their motivation. Students who kept the learning diary and at the same time received further information on self-regulation showed increases in their strategy use and their self-efficacy. However, no improvements were found for students’ academic performance. It can be concluded that in order for students to profit in keeping a structured learning diary, they should be informed on the benefits of self-monitoring to increase their motivation.  相似文献   

18.
The overarching aim of this study was to investigate students’ perceptions of the learning environment and whether these influenced their motivation and self-regulation in learning English as a second language at the university level in Jordan. Our sample involved 994 students, drawn from 13 schools, within three faculties (humanities, health sciences and engineering) of one university. The collection of data involved the administration of two surveys: one to assess students’ perceptions of the learning environment and another to assess students’ motivation and self-regulation in learning English as a second language. The results of analyses strongly supported the reliability and validity of the surveys when used at the university level in Jordan, thereby providing confidence in the results of the present study. Simple correlation and multiple regression analysis were used to examine the influence of students’ perceptions of the learning environment of English language classes on self-reports of motivation and self-regulation. Statistically significant (p < 0.05) simple correlations were found between students’ perceptions of their learning environment and their motivation and self-regulation. The regression weights (β) indicated that scales of the learning environment were positively, statistically significantly (p < 0.05) and independently related to the motivation and self-regulation outcomes.  相似文献   

19.
The purpose of this study was to examine the relationship among students’ characteristics, self-regulated learning, technology self-efficacy, and course outcomes in online learning settings. Two hundred and fifty-six students participated in this study. All participants completed an online survey that included demographic information, the modified motivation strategies learning questionnaire, the online technology self-efficacy scale, the course satisfaction questionnaire, and the final grades. The researchers used structural equation modeling to examine relationships among student characteristics, self-regulated learning, technology self-efficacy, and course outcomes. Based on the results from the final model, students with previous online learning experiences tended to have more effective learning strategies when taking online courses, and hence, had higher levels of motivation in their online courses. In addition, when students had higher levels of motivation in their online courses, their levels of technology self-efficacy and course satisfaction increased. Finally, students with higher levels of technology self-efficacy and course satisfaction also earned better final grades. Based on the findings, we recommend that instructors design courses in a way that can promote students’ self-regulated learning behaviors in online learning settings and that students in online classes, as in traditional classes, set aside a regular time to concentrate on the course. Also, institutions should provide user-friendly online learning platforms and workshops for instructors and students to facilitate the teaching and learning experiences.  相似文献   

20.
Successful online students must learn and maintain motivation to learn. The Self-regulation of Motivation (SRM) model (Sansone and Thoman 2005) suggests two kinds of motivation are essential: Goals-defined (i.e., value and expectancy of learning), and experience-defined (i.e., whether interesting). The Regulating Motivation and Performance Online (RMAPO) project examines implications using online HTML lessons. Initial project results suggested that adding usefulness information (enhancing goals-defined motivation) predicted higher engagement levels (enhancing experience), which in turn predicted motivation (interest) and performance (HTML quiz) outcomes. The present paper examined whether individual interest in computers moderated these results. When provided the utility value information, students with higher (relative to lower) individual interest tended to display higher engagement levels, especially when usefulness was framed in terms of personal versus organizational applications. In contrast, higher engagement levels continued to positively predict outcomes regardless of individual interest. We discuss implications for designing optimal online learning environments.  相似文献   

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