The concepts of metacognitive refection, refection, and metacognition are distinct but have undergone shifts in meaning as they migrated into medical education. Conceptual clarity is essential to the construction of the knowledge base of medical education and its educational interventions. We conducted a theoretical integrative review across diverse bodies of literature with the goal of understanding what metacognitive refection is. We searched PubMed, Embase, CINAHL, PsychInfo, and Web of Science databases, including all peer-reviewed research articles and theoretical papers as well as book chapters that addressed the topic, with no limitations for date, language, or location. A total of 733 articles were identified and 87 were chosen after careful review and application of exclusion criteria. The work of conceptually and empirically delineating metacognitive reflection has begun. Contributions have been made to root metacognitive refection in the concept of metacognition and moving beyond it to engage in cycles of refection. Other work has underscored its affective component, transformational nature, and contextual factors. Despite this merging of threads to develop a richer conceptualization, a theory of how metacognitive refection works is elusive. Debates address whether metacognition drives refection or vice versa. It has also been suggested that learners evolve along on a continuum from thinking, to task-related refection, to self-refection, and finally to metacognitive refection. Based on prior theory and research, as well as the findings of this review, we propose the following conceptualization: Metacognitive refection involves heightened internal observation, awareness, monitoring, and regulation of our own knowledge, experiences, and emotions by questioning and examining cognition and emotional processes to continually refine and enhance our perspectives and decisions while thoughtfully accounting for context. We argue that metacognitive refection brings a shift in perspective and can support valuable reconceptualization for lifelong learning.
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Collaborative learning tasks may represent an effective way to stimulate higher-order processes among high-ability students in regular classrooms. This study investigatedthe effects of task structure and group composition on the elaboration and metacognitive activities of 11th grade preuniversity students during a collaborative learning task: 102 students worked in small groups. On an ill-structured or moderately structured task. Differential effects forcognitive ability were investigated using a continuous measure. Likewise, the effects of group composition were examined using a continuous measure of the cognitiveheterogeneity of the group. The group dialogues were transcribed and coded. Analysis revealed an interaction effect between task structure and cognitive abilityon students’ elaboration and metacognitive activities. Task structure had a negative effect on the elaborative contributions of high-ability students. For students with lower abilities, task structure had a positive effect onelaboration and metacognitive activities. No effects were found of the cognitive heterogeneity of the group. Group composition seemed not to be related to group interactionamong 11th grade pre-university students. The results indicate that open-ended collaborative tasks with little guidance and directions on how to handle them, canstimulate higher-order processes among high-ability students and may offer them the challenge they need.
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Although most authors on Information Literacy do not really differ in their definitions of the information literacy concept, phenomenographic research makes clear that in the context of education at least two different conceptions can be distinguished: an “Information Problem Solving” conception and a “Personal Knowledge Base” conception [1]. The conception of “Information Problem Solving” has been elaborated on in various models by many researchers but the operationalization of the “Personal Knowledge Base conception” has, until now, been ignored in LIS research. Based on educational literature a model for the content of a “Personal Knowledge Base” will be proposed. Two kinds of internalized knowledge are distinguished: the body of knowledge of the discipline and metacognitive knowledge. Both of these elements display sub content. This conception of information literacy as a “Personal Knowledge Base” is consistent with the idea that “learning to learn” is one of the main goals of Higher Education. Copyright / opmerkingen: De hier gepubliceerde versie is het 'accepted paper' van het origineel dat is gepubliceerd op www.springerlink.com . De officiële publicatie kan worden gedownload op http://link.springer.com/chapter/10.1007/978-3-319-14136-7_4
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Background: With the increased attention on implementing inquiry activities in primary science classrooms, a growing interest has emerged in assessing students’ science skills. Research has been concerned with the limitations and advantages of different test formats to assess students’ science skills. Purpose: This study explores the construction of different instruments for measuring science skills by categorizing items systematically on three subskill levels (science-specific, thinking, metacognition,) and different activities of the empirical cycle.Sample: The study included 128 5th and 6th grade students from seven primary schools in the Netherlands.Design and method: Seven measures were used: a paper-and-pencil test, three performance assessments, two metacognitive self-report tests and a test used as an indication of general cognitive ability.Results: Reliabilities of all tests indicate sufficient internal consistency. Positive correlations between the paper-and-pencil test and performance assessments reinforce that the different tests measure a common core of similar skills thus providing evidence for convergent validity. Results also show that students’ ability in performing scientific inquiry is significantly related to general cognitive ability. No relations are found between the measure of general metacognitive ability and the paper-and-pencil test or the three performance assessments. By contrast the metacognitive self-report test constructed to obtain information about application of metacognitive abilities in performing scientific inquiry, shows significant - although small - correlations with two performance assessments. Further explorations reveal sufficient scale reliabilities on subskill and empirical step level.Conclusions: The present study shows that science skills can be measured reliably by categorizing items on subskill and step level. Additional diagnostic information can be obtained by examining mean scores on both subskill and step level. Such measures are not only suitable for assessing students’ mastery of science skills but can also provide teachers diagnostic information to adapt their instructions and foster the learning process of their students.
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Game-based learning can motivate learners and help them to acquire new knowledge in an active way. However, it is not always clear for learners how to learn effectively and efficiently within game-based learning environments. As metacognition comprises the knowledge and skills that learners employ to plan, monitor, regulate, and evaluate their learning, it plays a key role in improving their learning in general. Thus, if we want learners to become better at learning through game-based learning, we need to investigate how metacognition can be integrated into the design of game-based learning environments.In this paper we introduce a framework that aids designers and researchers to formally specify the design of game-based learning environments encouraging metacognition. With a more formal specification of the metacognitive objectives and the way the training design and game design aims to achieve these goals, we can learn more through analysing and comparing different approaches. The framework consists of design dimensions regarding metacognitive outcomes, metacognitive training, and metacognitive game design. Each design dimension represents two opposing directions for the design of a game-based learning environment that are likely to affect the encouragement of metacognitive awareness within learners. As such, we introduce a formalised method to design, evaluate and compare games addressing metacognition, thus enabling both researchers and designers to create more effective games for learning in the future.
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In summarizing the research on collaborative learning, the quest for the holy grail of effective collaborative learning has not yet ended. The use of the GLAID framework tool for the design of collaborative learning in higher education may contribute to better aligned designs and hereby contribute to more effective collaborative learning. The GLAID framework may help monitor, evaluate and redesign projects and group assignments. We know that the perception of the quality of the task, and the extent to which students feel engaged, influences the perception of students of how much they learn from a GLA. However, perceptions alone are only an indication of what is learned. A next step is to study exactly what those learning outcomes are. This leads to a more difficult question: how can we measure the learning outcomes? Although a variety of research underlines the large potential of collaboration for learning outcomes, the exact learning outcomes of team learning can only be partly foretold. During collaborative learning students could partly achieve the same or similar learning outcomes, but as each individual learning internalizes what is learned from the collaborative learning by his/her given prior experiences and knowledge, the learning outcomes of collaborative learning are probabilistic (Strijbos, 2011), and therefore attaining specific learning outcomes is likely but not guaranteed. If learning outcomes are different per individual and are probabilistic, how can we measure those learning outcomes? Wenger, Trayner, & De Laat (2011) regard the outcomes of learning communities as value creations that have an individual outcome and a group outcome. This value creation induced by collaborative learning consists, for example, of changed behaviour in the working environment as well as the production of useful products or artefacts. Tillema (2006) also describes that communities of inquiry can lead to the design of conceptual artefacts: products that are useful for a professional working environment.
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Feedback is one of the most powerful tools teachers can use to enhance student learning. In 2006, the Dutch Inspectorate of Education concluded from classroom observations that it is difficult for Dutch teachers to give their students good feedback in order to stimulate students' learning process and developmental progress. Similar problems were revealed in other school levels and countries, for example in secondary education and in Finland. Giving feedback during active learning may be even more troublesome for teachers. During active learning, students are working in small groups on different learning goals and undertake different learning activities at the same time. They need to achieve task-related goals as well as to develop the meta-cognitive knowledge and skills that are needed for active learning. Yet, teachers often seem unable to provide the feedback that is needed and they do not know how to support the development of meta-cognitive knowledge and skills.Therefore, this research project focused on ways to improve primary school teachers' feedback giving practices during active learning. The central research question is: How can primary school teachers learn to give optimal feedback to pupils during active learning? To answer this question, five studies have been conducted. In the first study, knowledge regarding teachers' feedback practices was gathered. A category system was developed based on the literature and empirical data. A total of 1465 teacher-student interactions of 32 teachers who practiced active learning in the domain of environmental studies in the sixth, seventh or eighth grade of 13 Dutch primary schools were videotaped and assessed using this system. Results showed that about half of the teacher-student interactions contained feedback. This feedback was usually focused on the tasks that were being performed by the students and on the ways in which these tasks were processed. Only 5% of the feedback was explicitly related to a learning goal. In their feedback, the teachers were directing (rather than facilitating) the learning processes. During active learning, however, feedback on meta-cognition and social learning is important. Feedback should be explicitly related to learning goals. In practice, these kinds of feedback appear to be scarce. In the second study, the problems these 32 primary school teachers perceive and the beliefs they hold regarding the provision of feedback were investigated. A writing task and an interview were conducted. It appeared that teachers believed that conditional teacher skills, especially time management, hindered them most from giving good feedback. The most widely held belief was that 'feedback should be positive'. Teachers also believed that it is important to adopt a facilitative way of giving feedback, but they found this difficult to implement. Only some teachers believed goal-directedness and a focus on student meta-cognition were important during active learning and teachers did not perceive problems regarding these aspects. In the third study, a professional development program (PDP) was developed, implemented and evaluated. The goals and content of the PDP were based on a review of the literature regarding feedback and active learning and on the results of the preceding studies. The design of the PDP was based on the extant literature regarding the features which are considered to be important for PDPs, including structural features, goal setting and characteristics of the professional development activities that are part of the program. Effects of this PDP on 16 primary schoolteachers' knowledge, beliefs, perceived problems and classroom behavior were examined via observations, a writing task and a questionnaire prior and twice after the program was implemented. Results showed that several aspects of feedback during active learning were improved, both in the short and in the long term. For example, teachers learned to believe that feedback must be goal-directed and that learning goals need to be communicated to students. In the classrooms, teachers related their feedback more often explicitly to the learning goals. In the fourth study, the extent to which teachers attributed the success of the PDP to each of the purposefully implemented features of the PDP was examined. The 16 teachers that participated in the PDP completed a questionnaire and four focus group interviews were conducted. Results indicated that teachers value most features quite highly; all features contributed to teachers' professional development according to the teachers themselves. The qualitative data was used to illustrate and specify the theoretical knowledge regarding the features that appeared to be effective in PDP's. Finally, in the fifth study, the learning process of two of the participating teachers was described in detail. Written reflections, as well as videotaped reflections during the video interaction training meetings were analyzed and related to the effects of the PDP on both teachers' knowledge, beliefs, perceived problems and classroom behavior during te course of the PDP. By relating the learning processes of these two teachers to the literature regarding professional development, we aimed for a rich understanding of the impact of the PDP on teachers' professional development.
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Higher education is making increasing demands on students’ learner-agency and self-directed learning. What exactly are learner agency and self-directed learning? Why are they important? And what does it take? The aim of the five questions and answers on this poster is to support a common language and to be used as conversation starters when you want to discuss learner-agency and self-directed learning.
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Although self-regulation is an important feature related to students’ study success as reflected in higher grades and less academic course delay, little is known about the role of self- regulation in blended learning environments in higher education. For this review, we analysed 21 studies in which self-regulation strategies were taught in the context of blended learning. Based on an analysis of literature, we identified four types of strategies: cognitive, metacognitive, motivational and management. Results show that most studies focused on metacognitive strategies, followed by cognitive strategies, whereas little to no attention is paid to motivation and management strategies. To facilitate self-regulation strategies non-human student tool interactional methods were most commonly used, followed by a mix of human student-teacher and non-human student content and student environment methods. Results further show that the extent to which students actively apply self-regulation strategies also depends heavily on teacher's actions within the blended learning environment. Measurement of self-regulation strategies is mainly done with questionnaires such as the Motivation and Self-regulation of Learning Questionnaire.Implications for practice and policy:•More attention to self-regulation in online and blended learning is essential.•Lecturers and course designers of blended learning environments should be aware that four types of self-regulation strategies are important: cognitive, metacognitive, motivational and management.•Within blended learning environments, more attention should be paid to cognitive, motivation and management strategies to promote self-regulation.
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A primary teacher needs mathematical problem solving ability. That is why Dutch student teachers have to show this ability in a nationwide mathematics test that contains many non-routine problems. Most student teachers prepare for this test by working on their own solving test-like problems. To what extent does these individual problem solving activities really contribute to their mathematical problem solving ability? Developing mathematical problem solving ability requires reflective mathematical behaviour. Student teachers need to mathematize and generalize problems and problem approaches, and evaluate heuristics and problem solving processes. This demands self-confidence, motivation, cognition and metacognition. To what extent do student teachers show reflective behaviour during mathematical self-study and how can we explain their study behaviour? In this study 97 student teachers from seven different teacher education institutes worked on ten non-routine problems. They were motivated because the test-like problems gave them an impression of the test and enabled them to investigate whether they were already prepared well enough. This study also shows that student teachers preparing for the test were not focused on developing their mathematical problem solving ability. They did not know that this was the goal to strive for and how to aim for it. They lacked self-confidence and knowledge to mathematize problems and problem approaches, and to evaluate the problem solving process. These results indicate that student teachers do hardly develop their mathematical problem solving ability in self-study situations. This leaves a question for future research: What do student teachers need to improve their mathematical self-study behaviour? EAPRIL Proceedings, November 29 – December 1, 2017, Hämeenlinna, Finland
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