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Using multiple representations and argumentation are two fundamental processes in science. With the advancements of information communication technologies, these two processes are blended more so than ever before. However, little is known about how these two processes interact with each other in student learning. Hence, we conducted a design-based study in order to distill the relationship between these two processes. Specifically, we designed a learning unit on nuclear energy and implemented it with a group of preservice middle school teachers. The participants used a web-based knowledge organization platform that incorporated three representational modes: textual, concept map, and pictorial. The participants organized their knowledge on nuclear energy by searching, sorting, clustering information through the use of these representational modes and argued about the nuclear energy issue. We found that the use of multiple representations and argumentation interacted with each other in a complex way. Based on our findings, we argue that the complexity can be unfolded in two aspects: (a) the use of multiple representations mediates argumentation in different forms and for different purposes; (b) the type of argumentation that leads to refinement of the use of multiple representations is often non-mediated and drawn from personal experience.  相似文献   

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Research has suggested that self or co-regulated learning is very helpful for the development of students’ autonomy, and is particularly important in online learning environments, because such non-linear environments tend to lack focus and teachers’ monitoring. The social cognitive research suggests that highly self-regulated learners have higher motivation and more control of their learning behaviors, and thus generate better outcomes on an individual basis rather on a group basis. This study thus attempts to extend the social cognitive perspective of self-regulated learning to collective regulated learning, and to investigate the relationships among collective beliefs (i.e., collective task value, a newly developed group motivation), collaborative behaviors (i.e., group cohesion, cognitive quality of collaborative interactions), and collaborative performance through collaborative creation in the CSCL environment. A total of 96 college students participated in this study. Both quantitative and qualitative analyses were applied. The results indicate that collective task value is a reliable and valid construct. The results also show that collective task value significantly predicts students’ group cohesion and collaborative performance, although it does not predict students’ cognitive quality of collaborative interactions. Students’ group cohesion and higher level of cognitive quality in collaborative interactions also both significantly predict their collaborative performance through collaborative creation in the CSCL environment.  相似文献   

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This quantitative case study used a pre- and posttest design for exploring the gender differences in secondary school students’ (n?=?131, 45 males and 86 females) learning of the force concept when an interactive engagement type of teaching was used. In addition, students’ ability to interpret multiple representations (i.e., representational consistency) was documented by a pre- and posttest and scientific reasoning ability by a pretest only. Males significantly outperformed females in learning of the force concept, pre- and posttest representational consistency, and pretest scientific reasoning. However, the gender difference in learning of the force concept was not significant when ANCOVA was conducted using pretest results of representational consistency and scientific reasoning as covariates. This appeared to indicate that the gender difference in learning gain was related to students’ abilities before the instruction. Thus, the teaching method used was equally effective for both genders. Further, our quantitative finding about the relation between representational consistency and learning of the force concept supports the assumption that multiple representations are important in science learning.  相似文献   

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This research investigates the role of representational guidance by comparing the effects of two different representational tools. We used a design with two different groups defined by the type of argumentative diagram students co-constructed while working in a computer-supported collaborative learning (CSCL) environment. The Graphical Debate-tool offered different representational guidance than the Textual Debate-tool. The results show that groups that worked with the Graphical Debate-tool constructed representations of higher quality and wrote essays that were better in terms of grounds quality. Furthermore, working with the Graphical Debate-tool was found to have a positive effect on students’ learning as measured by a knowledge post-test. In contrast to our expectations however, there was little difference between the two conditions regarding the online collaboration process. It can be concluded that representational guidance has an impact on group and individual performance and should therefore be taken into account during instructional design.  相似文献   

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Visual representations play a critical role in enhancing science, technology, engineering, and mathematics (STEM) learning. Educational psychology research shows that adding visual representations to text can enhance students’ learning of content knowledge, compared to text-only. But should students learn with a single type of visual representation or with multiple different types of visual representations? This article addresses this question from the perspective of the representation dilemma, namely that students often learn content they do not yet understand from representations they do not yet understand. To benefit from visual representations, students therefore need representational competencies, that is, knowledge about how visual representations depict information about the content. This article reviews literature on representational competencies involved in students’ learning of content knowledge. Building on this review, this article analyzes how the number of visual representations affects the role these representational competencies play during students’ learning of content knowledge. To this end, the article compares two common scenarios: text plus a single type of visual representations (T+SV) and text plus multiple types of visual representations (T+MV). The comparison yields seven hypotheses that describe under which conditions T+MV scenarios are more effective than T+SV scenarios. Finally, the article reviews empirical evidence for each hypothesis and discusses open questions about the representation dilemma.  相似文献   

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Computer-supported collaborative learning (CSCL) is an approach to learning in which learners can actively and collaboratively construct knowledge by means of interaction and joint problem solving. Regulation of learning is especially important in the domain of CSCL. Next to the regulation of task performance, the interaction between learners who work in a CSCL environment needs to be regulated as well. Despite its importance, the regulation of learning in CSCL has received relatively little attention in research. In the contributions of this special issue different labels are used for various forms of regulation of learning during CSCL. During collaborative learning, the regulation of activities can take place at different levels of social interaction: the individual level, the dyadic level, and the group level. Regulative activities of all three levels are presented in the three studies. All studies have investigated whether the use of regulative activities affected performance, and have found that regulation at the dyadic and/or group level was positively related to group performance. In sum, these three contributions provide a constructive overview of the role of regulation of the (collaborative) learning process in CSCL, both in terms of the impact of regulation on learning processes and learning results as well as the influence of different kinds of support on the regulation of collaborative learning.  相似文献   

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This article presents a designed learning environment intended to engage students in learning about the relationships among multiple representations as they work together on a shared task. Over the course of several extended problem-solving sessions, groups developed several successive alignments of participants and representations as they learned to solve increasingly difficult tasks. Our findings highlight the emergent and often unexpected meanings that learners established for representational tools as their groups reorganized into increasingly effective problem-solving ensembles. Our findings echo those of prior research regarding learners' considerable competence and creativity in interpreting and applying distributed representational tools, as well as the careful coordination among learners involved in establishing and acting on those interpretations. Challenges in this design space include instances in our data where students capitalized on connections among representations without really trying to understand those connections, temporarily undermined the distributed character of the representations, and worked more efficiently by reducing the number of participants actively involved in breaking codes. Our findings indicate that managing these challenges requires presenting groups with regular opportunities to reconsider and reorganize their roles, and to experiment with different meanings and uses of flexible tools in the context of tasks with carefully sequenced levels of difficulty.  相似文献   

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计算机支持的协作学习(CSCL)是近年来教育技术和学习科学研究的热点,协作知识建构是CSCL的主要学习方式和学习目标,如何支持和促进协作知识建构是教育研究者和实践者关注的焦点问题之一。在社会建构主义和对话学习理论基础上建立的基于对话的教学设计和基于研究与实践的协作学习过程模型可以作为一种系统的教学模式,引入到CSCL学习环境中来支持协作知识建构。网络环境下协作学习困难和问题调查,以及CSCL课程实践证明:旨在提高学生对话能力,促进学生不同类型对话产生和发展,培养学生批判性思维能力的促进协作知识建构的教学设计和实施策略是有效的,学生在协作学习中能掌握并运用这些策略来促进协作学习。实现知识建构的目标。  相似文献   

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CSCL技术的发展为参与学习活动的个体提供了一个优良的协作学习环境。为了达到最优的学习效果,使学习个体能在CSCL环境中顺利地进行协作,更好地利用网络上的学习资源,提高学习资源的使用效率,须用本体来对CSCL的参与个体和学习资源进行定义,使到在CSCL中的学习资源能被统一的表示,完成以学习资源为主要表现形式的知识交互,并进行以知识获取为最终目的的资源重组,使基于本体的CSCL的学习资源管理系统模型的实现和测试成为可能。  相似文献   

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The goal of this paper is to report on a meta-analysis about the effects of Computer-Supported Collaborative Learning (CSCL) in STEM education. The analysis is based on 316 outcomes from 143 studies that examined the effects of CSCL published between 2005 and 2014. Our analysis showed that the overall effect size of STEM CSCL was 0.51, a moderate but notable effect size in educational research. The effect was greatest on process outcomes, followed by knowledge outcomes, and affective outcomes. The sizes of the effects were moderated by types of technology and pedagogy, educational levels of learners, and learning domains. Moderators further interacted so that effects of technology and pedagogy varied depending on the modes of collaboration, learners' educational levels, and domains of learning. The current study demonstrates the overall advantage of CSCL in STEM education and highlights a need to understand how these variables may interact to contribute to overall CSCL effectiveness.  相似文献   

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基于贝叶斯分类的CSCL自动异质分组策略研究   总被引:1,自引:0,他引:1  
异质分组是计算机支持的协作学习(CSCL)普遍采用的分组方式。研究表明,异质分组更有利于学生提高协作学习效果。但是目前较少有CSCL系统能够依据学习者个性特征对其成员实现自动异质分组。本文旨在依据学习者个性特征,利用贝叶斯分类方法实现CSCL系统中的自动异质分组。  相似文献   

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The move from learning science from representations to learning science with representations has many potential and undocumented complexities. This thematic analysis partially explores the trends of representational uses in science instruction, examining 80 research studies on diagram use in science. These studies, published during 2000–2014, were located through searches of journal databases and books. Open coding of the studies identified 13 themes, 6 of which were identified in at least 10% of the studies: eliciting mental models, classroom-based research, multimedia principles, teaching and learning strategies, representational competence, and student agency. A shift in emphasis on learning with rather than learning from representations was evident across the three 5-year intervals considered, mirroring a pedagogical shift from science instruction as transmission of information to constructivist approaches in which learners actively negotiate understanding and construct knowledge. The themes and topics in recent research highlight areas of active interest and reveal gaps that may prove fruitful for further research, including classroom-based studies, the role of prior knowledge, and the use of eye-tracking. The results of the research included in this thematic review of the 2000–2014 literature suggest that both interpreting and constructing representations can lead to better understanding of science concepts.  相似文献   

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本文论述了觉知的相关概念以及协作学习中的觉知问题,认为实现有效的计算机支持的协作学习可以通过在协作学习过程中促进学习者对自身以及同伴的感知来实现;同时,本文以具体的CSCL活动策略和协作平台组件设计为案例,从内容对比分析的角度验证促进协作学习活动觉知过程设计的有效性.  相似文献   

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This article presents a set of spatial tools for classroom learning about spatial justice. As part of a larger team, we designed a curriculum that engaged 10 learners with 3 spatial tools: (a) an oversized floor map, (b) interactive geographic information systems (GIS) maps, and (c) participatory mapping. We analyze how these tools supported learning using notions of politicization. The floor map fed conceptual understandings of the map as a representational text and served as the terrain for an embodied activity to support proportional reasoning about inequitable distributions of resources. The data-rich GIS maps and their zoomability allowed for coordinating across multiple variables to connect patterns in inequities to other social processes. The participatory mapping enabled learners to make discoveries about, connect, and share beyond the individual classroom counterstories from people in the lived streets of their neighborhood. In aggregate, this set of spatial tools produced a complex, hybrid view of the city’s space, which contributed to learners’ political formation.  相似文献   

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Because of the multimodal nature of learning, doing and reporting science, it is important that students learn how to interpret, construct, relate and translate scientific representations or, in other words, to develop representational competence. Explicit instruction about multimodal representations is needed to foster students’ representational competence in the classroom. However, only a handful studies have surveyed how representations are actually used in science classes. This might be because of the fact that economical instruments for assessing the use of representations in classrooms are not available. To bridge that gap, an instrument was developed, field-tested in biology classes with 175 and 931 students, respectively, and analysed using exploratory and (multilevel) confirmatory factor analyses. Results supported an instrument with six scales and 21 items at the individual and classroom levels covering the following dimensions: (1) interpretation of visual representations, (2) construction of visual representations, (3) use of scientific texts (verbal representations), (4) use of symbolic representations, (5) number of terms used in class, and (6) the extent to which active social construction of knowledge is possible in the class. The scales showed satisfactory discriminant validity and reliability at each level. Further applications of this instrument for researchers and teachers are discussed.  相似文献   

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国际学习科学协会(ISLS)前主席,皮埃尔.狄隆伯格(Pierre Dillenbourg)教授是瑞士洛桑联邦理工大学(EPFL)培训及其技术研究与支持中心(CRAFT)的主任,也是《计算机支持的协作学习丛书》(CSCL Book Series)的主编。本次访谈为中国读者提供了一个关于计算机支持的协作学习(CSCL)的研究与发展概要。狄隆伯格教授认为,CSCL的贡献不仅在于为专业培训领域提供了增进知识生产的学习技术,更在于其所包含的一系列的概念、思想和取向等对整个教育系统的渗透。协作学习,无论有没有计算机,都不是一个可以自动导致预期学习结果的处方。CSCL研究者已经研究了导致小组(或团队)生产积极学习结果的必要互动类型,并将技术运用于设计、研究和增进必要的互动。应当从一个"整合的学习"的视角认识CSCL,可以借助对情节的设计和不同工具的支持,将CSCL活动嵌入到正式或非正式学习场景更为综合的活动系列中。与此相应,CSCL研究者提出了十个方面的研究主题:即社会互动与个人化、媒体有效性、共享知识的建构、模仿倾向、中介作用、脚本、互动分析、表征、计算装置和虚拟共同体。  相似文献   

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《Learning and Instruction》2003,13(2):227-237
Multimedia learning environments combine multiple forms of representations like texts, static and animated pictures or graphs. Knowledge acquisition from multiple representations requires that the learner create referential connections between corresponding elements and corresponding structures in different representations. As this process is usually difficult, learners frequently fail to construct coherent mental representations and, thus, do not sufficiently understand the subject matter. This paper analyzes the effects of different kinds of instructional help on the process of coherence formation from multiple representations by learners with different prior knowledge. Three groups of university students with different domain-specific knowledge had to learn a complex subject matter from chemistry using six different forms of representation. In addition, a first group received directive help for coherence formation. A second group received non-directive help, and a third group received no instructional help. Results indicate that directive help is effective for recall performance because of its summarizing and repeating function. Furthermore, learners with different levels of prior knowledge show different reactions when help is given. For learners with insufficient prior knowledge help is not helpful or, in case of recall performance, even harmful. Learners with a medium level of prior knowledge can increase especially their comprehension performance when help is offered, whereas learners with too much prior knowledge seem not to be affected by help.  相似文献   

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