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1.
混合学习强调线下课堂教学和线上自主学习的混合以实现优势互补,其中学习者的在线自我调节学习能力显得异常重要。文章旨在揭示学习者的在线自我调节学习能力存在哪些潜在类别,不同类别学习者是否具有不同的在线自我调节学习行为过程模型,以及这对于在线自我调节学习环境的设计有何启示。研究首先对239名学习者的在线自我调节学习能力进行测评,然后使用潜在剖面分析方法对测评数据进行分析,发现样本学习者可以分为高、中、低三种不同水平的自我调节学习剖面类别。然后分别对三种类别学习者的在线自我调节学习行为数据进行过程挖掘,研究发现:(1)学习者的自我调节学习能力更多体现在执行阶段的行为上;(2)中高水平自我调节学习者的在线学习行为表现出更强的认知和元认知策略;(3)高水平自我调节学习者体现出更有效的时间管理策略与更强的整体规划能力。因此,在线自我调节学习环境需要引入自适应支持机制,为学习者提供适应性的过程和策略支持。 相似文献
2.
论动机监控在自我调节学习中的地位 总被引：3，自引：0，他引：3
曲苒 《陕西教育学院学报》2006,22(3):20-23
自我调节学习是近30年来教育心理学研究领域的重要课题,绝大多数自我调节学习策略的研究仅强调学习者对学习活动认知方面的调控,很少考虑非认知(动机情感等)方面的调节。本文通过对近期国内外有关动机监控方面研究的分析,探讨了非认知调节,尤其是动机监控在自我调节学习中的地位,提出动机监控应被融入自我调节学习模型。 相似文献
3.
Yves Karlen 《The Journal of educational research》2016,109(3):253-265
Metacognitive strategy knowledge, motivation, and learning strategies play an important role in self-regulated learning (SRL). However, little is known about different profiles of self-regulated learners in schools that prepare students for the university entrance certificate. The aim of this study was to examine intraindividual differences in the patterns of students' SRL. In this 2-wave longitudinal study, 897 students were involved. Latent class analyses revealed four-cluster solutions at the beginning as well as at the end of the school year. Maximal self-regulated learners with the highest levels on all cognitive, metacognitive, and motivational components of SRL reported the highest grades in the academic subject of German (first language) at both measurement points, followed by motivated and strategic learners. Students with a low level on several SRL components reported the lowest grades. Further, the results indicated changes in profiles of SRL over time. 相似文献
4.
This study examines the relationships between students’ academic levels, the use of motivational regulation strategies, and cognitive learning strategies. A total of 141 undergraduate and graduate students enrolled in online distance courses participated in the study. The findings show that students use different motivational regulation strategies and cognitive learning strategies depending on their academic levels. Additionally, hierarchical regression analyses using two dependent variables (i.e., surface level learning strategy and deep processing level learning strategy) indicate that a surface level learning strategy (i.e., rehearsal) and deep processing level strategies (i.e., elaboration, organization, and critical thinking) are predicted by different sets of motivational regulation strategies after controlling for academic level and age. The results provide distance educators and instructional designers with practical suggestions on how to support undergraduate and graduate students’ motivational needs and further promote their use of cognitive learning strategies in online distance education programs in higher education. 相似文献
5.
Heinz Neber Jing He Bang-Xiang Liu Neville Schofield 《International Journal of Science and Mathematics Education》2008,6(4):769-788
The present study investigates whether Chinese high-school students are self-regulated learners. A social-cognitive model
that distinguishes environmental, motivational, and cognitive components of this active approach to learning is described.
This provides an appropriate framework for investigating this complex issue with eighth and tenth graders attending a high-school
in Beijing. By contrasting components of self-regulated learning and components indicating a more passive approach to learning
that were both measured with self-report instruments, it could be shown that these students may indeed be considered as self-regulated
physics learners. Comparisons of the grade levels revealed that tenth graders are not more active in self-regulating their
learning processes than are eighth graders, and that they might even experience a motivational decline in learning physics.
The same applies to girls versus boys. The physics-related self-efficacy belief of girls turned out to be considerably lower
than with boys, a result that corresponds to findings with students from Western nations. Finally, assumptions about the causal
role of motivational factors for using self-regulatory strategies could be confirmed. Possible consequences for further fostering
self-regulated learning in physics instruction are discussed. 相似文献
6.
K. Ann Renninger Ming Cai Mark C. Lewis Margot M. Adams Katherine L. Ernst 《Educational technology research and development : ETR & D》2011,59(2):229-247
As hypermedia, online teacher professional development (TPD) should ideally support diverse learners to work with online content
effectively because it involves multiple representations and a nonlinear format. Differences among participants in motivation
and learning provide challenges for design. The present study is a use-inspired, mixed-method study of 164 teachers’ motivation
and learning in an unmoderated online workshop. It addresses participants’ demographic and motivational profiles, participation
in this type of workshop (e.g., the frequency, duration, and focus, as well as their work with technology-enhanced, nonroutine
challenge problems and journal assignments), the predictive value of the initial questionnaire, and implications for design.
Findings indicate that while three clusters of motivational profiles could be identified (low interest, low self-efficacy,
and less math; low interest, high self-efficacy, and more math; high interest, high self-efficacy, and more math), whether
the teachers continue to participate appears to be related to the structure and content of the workshop, not just these profiles.
Findings are interpreted as suggesting that the potential of hypermedia lies in its designers’ abilities to support participant
stake by providing for multiple ways into thinking and working with disciplinary content—design that both accommodates and
supports those with differing strengths and needs. Implications for studying motivation and learning online are also discussed. 相似文献
7.
Myonghee Yang 《Asia Pacific Education Review》2005,6(2):162-169
The research to explain student’s self-regulated learning has grown rapidly in recent years. However, the studies on self-regulated
learning have shown fascinating but mixed results. Thus, there is a need to identify and describe the key dimensions of self-regulated
learning according to an empirical framework in order to integrate these complex results. This study attempts to explore the
structure and the pattern of self-regulated learning. In a sample of high-school students, it was found that self-regulated
learning consists of three components; cognitive regulation, motivational regulation, behavioral regulation. The result also
shows that students can be grouped into six clusters in terms of these components. This study appears to be useful for understanding
self-regulated learning conceptually but has some methodological limitations. 相似文献
8.
在线自我调节学习是增强学习者在线学习投入、提升学习绩效的重要保障。当下在线开放课程在各级各类教育中广泛深度应用,国内外学者主要关注高等教育全日制学习者在线自我调节学习的相关研究,对学历继续教育学习者的关注较为罕见。采用混合研究法,对疫情防控期间,陕西、广东、云南等三省参与在线课程学习的学历继续教育学习者在线自我调节学习的现状、影响因素及优化策略进行了系统研究,结果发现:研究样本在线自我调节学习现状不是很理想,主要受个人因素、课程因素、文化因素和管理因素的影响,最终从优化课程、重构学习空间、加强过程监控等三个方面提出了调节和优化策略。 相似文献
9.
《Learning and individual differences》1999,11(3):281-299
This study investigates the relation between students' tendency to self-regulate their level of motivation and other aspects of their self-regulated learning and achievement. Ninth- and tenth-grade students (N = 88) responded to survey items designed to assess five motivational regulation strategies identified in previous research. An exploratory factor analyses of these items revealed distinct, internally consistent scales reflecting the strategies of Self-Consequating, Environmental Control, Performance Self-Talk, Mastery Self-Talk, and Interest Enhancement. Self-report measures of effort, use of six cognitive and metacognitive learning strategies, and teacher-reported grades were also collected. Findings revealed mean level differences in students' reported use of the motivational strategies. In addition, results from a series of multivariate regressions indicated that students' use of motivational regulation strategies could be used to predict their use of learning strategies, effort, and classroom performance. As a whole, findings support the belief that motivational self-regulation should be integrated more completely into current models of volition and self-regulated learning. 相似文献
10.
Malte Schwinger Ricarda Steinmayr Birgit Spinath 《Learning and individual differences》2012,22(3):269-279
The self-regulation of motivation represents a key feature of self-regulated learning. Recent studies have documented that students use a variety of strategies to sustain their learning motivation and that most of these strategies have positive effects. However, less is known about how students integrate the various motivational strategies into an individual motivational regulation profile and which kind of profiles are most adaptive with respect to enhanced effort and persistence. To shed more light on this issue, we examined the motivational regulation profiles within two samples of German high-school and college students. In Study 1 (N = 231 11th and 12th grade students), latent profile analysis revealed five subgroups of students holding different motivational regulation profiles. In Study 2 (N = 600 college students), the five class solution was replicated with slight changes in the nature of the profiles. In both studies, profiles with a higher overall level of motivational strategy use were associated with a higher level of effort and achievement. Regarding differences in profile shape, results indicated that profiles emphasizing mastery and/or performance-approach self-talk were most adaptive. Implications of the findings for future research on motivational regulation are discussed. 相似文献
11.
University students often have insufficient strategies to regulate their own learning independently, suggesting the need for adequate support. This study examined developmental changes in students’ self-regulated learning (SRL) profiles during their participation in Supplemental Instruction, a peer-based intervention, over the course of a semester and predictive variables of these changes. Latent profile transition analysis of a sample of 352 undergraduates revealed three distinct SRL profiles which emerged identically across time points: competent regulators, self-confident regulators, and goal-oriented regulators. Students in the competent regulators profile were most stable over time, while those in the goal-oriented regulators profile were most malleable, but in a positive sense. Results also indicate that students who attributed SI attendance to mastery goals were more likely to transition beneficially between SRL profiles. The observed predictors of transitions between profiles also highlighted the relative importance of motivational variables as opposed to cognitive-metacognitive variables in accounting for SRL development. 相似文献
12.
Studying with digital media, learners often struggle because of inadequate self-regulation. Previous research presented clear evidence of metacognitive prompts being effective in supporting learning with digital media. This study examines the potential of motivational regulation prompts, which are assumed to additionally support self-regulated learning. During a 50-minute learning session in a digital media learning environment, 215 university students received either no prompts, only metacognitive prompts, only motivational regulation prompts, or both types of prompts. Task value, metacognitive control, task-related learning activities, and knowledge were assessed at a pretest, posttest, and follow-up. The results replicated known positive effects of metacognitive prompts and revealed additional supportive effects of motivational regulation prompts on all dependent variables. Path modeling of the experimentally induced changes was in line with a theoretical model specifying proximal and distal effects of both prompts. Altogether, this indicates that especially motivational regulation prompts could be an effective scaffold to support SRL with digital media. 相似文献
13.
《International Journal of Educational Research》2004,41(3):198-215
There is a growing body of research indicating that students who can self-regulate cognitive, motivational, and behavioral aspects of their academic functioning are more effective as learners. We studied relations between the self-regulation strategies used by a group of Italian students during the final years of high school and their subsequent academic achievement and resilience in pursuing higher education. We used the self-regulated learning interview schedule, which focuses on cognitive, motivational, and behavioral strategies used during academic learning in both classroom and non-classroom contexts. The cognitive self-regulation strategy of organizing and transforming proved to be a significant predictor of the students’ course grades in Italian, mathematics, and technical subjects in high school and in their subsequent average course grades and examinations passed at the university. The motivational self-regulation strategy of self-consequences was a significant predictor of the students’ high school diploma grades and their intention to continue with their education after high school. 相似文献
14.
Contextual differences in student motivation and self-regulated learning in mathematics,English, and social studies classrooms 总被引：8，自引：0，他引：8
Recent research on self-regulated learning has stressed the importance of both motivational and cognitive components of classroom learning. Much of this research has examined these components without consideration of potential contextual differences. Using a within-subject correlational design, the present study assessed mean level differences in students' task value, self-efficacy, test anxiety, cognitive strategy use, regulatory strategy use, and classroom academic performance by gender and across the subject areas of mathematics, social studies, and English. In addition, the relations among the motivational, strategy use, and performance measures were assessed using multivariate regressions. The participants were 545 seventh and eighth grade students (51% females) who responded to a self-report questionnaire. Results revealed mean level differences by subject area and gender in the motivation and cognitive strategy use variables, but not in regulatory strategy use or academic performance. In contrast, results indicated that the relations among these constructs was very similar across the three subject areas examined. Findings are discussed in terms of their importance for understanding the contextual nature of students' self-regulated learning. 相似文献
15.
This study investigates relationships between self-efficacy, self-regulated learning strategy use and academic performance. Participants were 96 undergraduate students working on projects with three subtasks (idea generation task, methodical task and data collection) in a blended learning environment. Task self-efficacy was measured with self-reports administered during each subtask. Learning strategies were assessed by counting each instance of strategy use as it occurred in peer-to-peer conversations typed into a computer software system. Results showed that for each subtask, learners with higher task self-efficacy had higher task performance. Those who used more learning strategies on each subtask also had higher performance. In turn, high performance was associated with high self-efficacy on subsequent subtasks. Surprisingly, results showed that task self-efficacy and learning strategy use were not significantly related during any subtask. Overall, results imply that task self-efficacy, learning strategy use and past performance are important predictors of task performance. 相似文献
16.
Sanna Järvelä 《Infancia y Aprendizaje》2015,38(2):279-294
AbstractLearning in and for the twenty-first century requires motivational competence and effective learning strategies in individual and collaborative learning settings. Being able to strategically regulate one’s own learning and that of others is a vital and increasingly important skill. Most learners are not equipped to regulate and direct their own learning or might lack the motivation to do so. Additionally, if self-regulation of learning is difficult at the individual level, it becomes even more difficult when interacting with peers and in teams, known as co-regulation and shared regulation. Fortunately, recent research has shown that regulation can be both learned and also often supported with self-regulation tools and/or environments. This paper discusses recent trends in self-regulated learning research, focusing especially on regulating learning in computer supported collaborative learning. It is concluded that today’s education should help learners become aware of their strengths and weaknesses in a learning situation, so as to help them develop skills and strategies to continue to learn throughout their lives. 相似文献
17.
Dongho Kim In-Heok Lee Joo-Ho Park 《British journal of educational technology : journal of the Council for Educational Technology》2019,50(6):3420-3436
Open educational resources (OERs) are increasingly adopted in non-formal education contexts. However, little research has been conducted to investigate the self-directed learning patterns of non-formal learners using OERs. A lack of knowledge about non-formal learners precludes discussions on how to support their self-regulated learning in open learning environments. We explored the self-directed learning patterns of 1892 non-formal online learners who were using OER repositories. In addition, we examined whether differences existed in future intentions to use OERs between learners with different learning patterns. Four latent classes were identified, and learners’ age was found to affect class membership. We also found that non-formal learners’ use of self-directed learning strategies predicted their future intentions to use OERs. This study advanced our understanding of the subpopulations of non-formal learners using OERs. Future research will benefit from the findings related to designing OER environments that can accommodate diverse self-directed learners. 相似文献
18.
Process mining techniques for analysing patterns and strategies in students’ self-regulated learning
Referring to current research on self-regulated learning, we analyse individual regulation in terms of a set of specific sequences of regulatory activities. Successful students perform regulatory activities such as analysing, planning, monitoring and evaluating cognitive and motivational aspects during learning not only with a higher frequency than less successful learners, but also in a different order—or so we hypothesize. Whereas most research has concentrated on frequency analysis, so far, little is known about how students’ regulatory activities unfold over time. Thus, the aim of our approach is to also analyse the temporal order of spontaneous individual regulation activities. In this paper, we demonstrate how various methods developed in process mining research can be applied to identify process patterns in self-regulated learning events as captured in verbal protocols. We also show how theoretical SRL process models can be tested with process mining methods. Thinking aloud data from a study with 38 participants learning in a self-regulated manner from a hypermedia are used to illustrate the methodological points. 相似文献
19.
ABSTRACTSubject ontology can help implement the structured organization of knowledge for online learners and thus plays an important role in the learning process. However, building ontologies by experts is time-consuming, and the adaptation of such ontologies to different contexts might be a problem. Crowdsourcing, which allows users to build and refine ontologies during their learning process, has exhibited potential for solving this problem. In this study, a crowdsourcing mode-based learning activity flow approach is proposed to guide the learning of online learners while promoting the generation and evolution of subject ontologies using the learners’ contributions to the learning content. This flow makes full use of the learners’ wisdom during the learning process to promote self-regulated learning as well as the generation and evolution of the ontology. Based on the proposed approach, a learning support system was developed and an experiment conducted involving a Chinese lesson on “The Liangzhou Poem”. In the experiment, student participants built 722 triples, of which 584 evolved as formal items in the subject ontology. Moreover, all learners were able to construct a well-organized knowledge graph. Students in both high- and low-scoring groups contributed valuably to the knowledge generation and evolution of the subject ontology. Furthermore, while the widths of the knowledge constructed by students in high- and low-scoring groups were similar, their depths were substantially different. During this process, the crowdsourcing-based activity flow system achieved satisfactory technique acceptance, which means that the proposed approach and system are useful for the effective generation of subject ontologies while helping learners acquire knowledge. 相似文献
20.
Learning persistence in a cyber-learning environment is not only an index determining the success or failure of individual learners but also a source of important information to establish the management direction of educational programs in an organization. Accordingly, learners need to be motivated to continue to grow in order to ensure both qualitative improvement and quantitative growth of cyber learning. However, previous research on successful and continuous learning has considered the factors relevant to learning persistence independently from satisfaction and only investigated the correlation and prediction, rather than examining the comprehensive causal relationships. Accordingly, the current study established self-regulated learning as an exogenous variable, and learning flow, satisfaction, and learning persistence as endogenous variables. We investigated the structural causal relationships among these variables by using structural equation model (SEM). We collected data from 594 students in W Cyber University and conducted surveys regarding self-regulated learning, flow, satisfaction, and learning persistence. In the study results, the self-regulated learning ability of cyber-university students directly affected learning flow (β = .420), learning flow directly affected satisfaction, and learning flow (β = .464) and satisfaction (β = .354) directly affected learning persistence. The SEM results showed that learning flow intermediated between self-regulated learning ability and satisfaction and between self-regulated learning ability and learning persistence. In addition, satisfaction intermediated between learning flow and learning persistence. In the concluding remarks, we suggest the necessary strategies for planning and managing a successful learning process for effective cyber education. 相似文献