首页 | 本学科首页   官方微博 | 高级检索  
相似文献
 共查询到20条相似文献,搜索用时 15 毫秒
1.
随着大学教学信息化进程的不断深化与发展,如何测量、挖掘、分析与利用在学习平台中积累的大量数据,以更好地支持教学与学习,进而改善和提升教与学的质量与效能,已成为摆在大学教学信息化研究者与实践者面前的现实课题。学习分析的兴起则为解决这一难题,提供了一系列的方法、工具和手段。文章将基于国内外学者的已有研究,通过对学习分析的发展脉络的梳理,对学习分析的内涵、过程、工具和方法作较为深入的解读,并尝试从推动大学教学创新的视角,阐释学习分析对促进大学教学信息化深入发展的重要价值和深远影响。  相似文献   

2.
3.
    
Social Network Analysis (SNA) has enabled researchers to understand and optimize the key dimensions of collaborative learning. A majority of SNA research has so far used static networks, ie, aggregated networks that compile interactions without considering when certain activities or relationships occurred. Compressing a temporal process by discarding time, however, may result in reductionist oversimplifications. In this study, we demonstrate the potentials of temporal networks in the analysis of online peer collaboration. In particular, we study: (1) social interactions by analysing learners' collaborative behaviour, part of a case study in which they worked on academic writing tasks, and (2) cognitive interactions through the analysis of students' self-regulated learning tactics. The study included 123 students and 2550 interactions. By using temporal networks, we show how to analyse the longitudinal evolution of a collaborative network visually and quantitatively. Correlation coefficients with grades, when calculated with time-respecting temporal measures of centrality, were more correlated with learning outcomes than traditional centrality measures. Using temporal networks to analyse the co-temporal and longitudinal development, reach, and diffusion patterns of students' learning tactics has provided novel insights into the complex dynamics of learning, not commonly offered through static networks.  相似文献   

4.
学习分析是“大数据”在教育领域的应用,引发了教育技术发展的第三次浪潮,并获得学术界的广泛关注。本文梳理了学习分析的形成过程,然后从利益相关者、研究目标、研究对象、技术方法四个维度,回顾了近五年来国内外学者在学习分析方面的研究成果,并提出未来发展趋势和可能遇到的挑战,便于相关人员制定教育决策、优化教育管理过程以及完善学习过程。研究结果表明,学习分析研究主题主要涵盖学习者知识建模、学习情绪建模、学习行为特征抽取、学习活动跟踪、学习者建模、学位获取分析、教学资源和教学策略优化、自适应学习系统和个性化学习、在线学习影响因素分析九个方面;分析数据主要来源于集中式学习环境、分布式学习环境以及身体活动数据;常用分析方法包括统计分析、信息可视化、数据挖掘、社会网络分析、话语分析和网站分析。目前,学习分析研究遇到的挑战包括教育数据预处理难度大、数据访问权限不明确、学习分析适用性有限。虽然学习分析尚处于发展初期,但由于能够为教育系统各级决策提供科学参考,已经成为教育信息化的重要内容之一。  相似文献   

5.
    
Learning analytics, the analysis and representation of data about learners in order to improve learning, is a new lens through which teachers can understand education. It is rooted in the dramatic increase in the quantity of data about learners and linked to management approaches that focus on quantitative metrics, which are sometimes antithetical to an educational sense of teaching. However, learning analytics offers new routes for teachers to understand their students and, hence, to make effective use of their limited resources. This paper explores these issues and describes a series of examples of learning analytics to illustrate the potential. It argues that teachers can and should engage with learning analytics as a way of influencing the metrics agenda towards richer conceptions of learning and to improve their teaching.  相似文献   

6.
    
This study attempts to make inferences about the mechanisms that drive network change over time. It adopts simulation investigation for empirical network analysis to examine the patterns and evolution of relationships formed in the context of a massive open online course (MOOC) discussion forum. Four network effects—homophily, reciprocity, transitivity, and preferential attachment—were tested to explain the dynamic mechanisms of interaction in the MOOC forum. Understanding the network dynamics of relationships will allow us to explore how to develop a robust peer-supported learning environment and in turn improve the online learning experience in MOOCs.  相似文献   

7.
    
This article reports on a trace-based assessment of approaches to learning used by middle school aged children who interacted with NASA Mars Mission science, technology, engineering and mathematics (STEM) games in Whyville, an online game environment with 8 million registered young learners. The learning objectives of two games included awareness and knowledge of NASA missions, developing knowledge and skills of measurement and scaling, applying measurement for planetary comparisons in the solar system. Trace data from 1361 interactions were analysed with nonparametric multidimensional scaling methods, which permitted visual examination and statistical validation, and provided an example and proof of concept for the multidimensional scaling approach to analysis of time-based behavioural data from a game or simulation. Differences in approach to learning were found illustrating the potential value of the methodology to curriculum and game-based learning designers as well as other creators of online STEM content for pre-college youth. The theoretical framework of the method and analysis makes use of the Epistemic Network Analysis toolkit as a post hoc data exploration platform, and the discussion centres on issues of semantic interpretation of interaction end-states and the application of evidence centred design in post hoc analysis.

Practitioner notes

What is already known about this topic
  • Educational game play has been demonstrated to positively affect learning performance and learning persistence.
  • Trace-based assessment from digital learning environments can focus on learning outcomes and processes drawn from user behaviour and contextual data.
  • Existing approaches used in learning analytics do not (fully) meet criteria commonly used in psychometrics or for different forms of validity in assessment, even though some consider learning analytics a form of assessment in the broadest sense.
  • Frameworks of knowledge representation in trace-based research often include concepts from cognitive psychology, education and cognitive science.
What this paper adds
  • To assess skills-in-action, stronger connections of learning analytics with educational measurement can include parametric and nonparametric statistics integrated with theory-driven modelling and semantic network analysis approaches widening the basis for inferences, validity, meaning and understanding from digital traces.
  • An expanded methodological foundation is offered for analysis in which nonparametric multidimensional scaling, multimodal analysis, epistemic network analysis and evidence-centred design are combined.
Implications for practice and policy
  • The new foundations are suggested as a principled, theory-driven, embedded data collection and analysis framework that provides structure for reverse engineering of semantics as well as pre-planning frameworks that support creative freedom in the processes of creation of digital learning environments.
  相似文献   

8.
9.
10.
    
The analysis of multiple data streams is a long-standing practice within educational research. Both multimodal data analysis and temporal analysis have been applied successfully, but in the area of collaborative learning, very few studies have investigated specific advantages of multiple modalities versus a single modality, especially combined with temporal analysis. In this paper, we investigate how both the use of multimodal data and moving from averages and counts to temporal aspects in a collaborative setting provides a better prediction of learning gains. To address these questions, we analyze multimodal data collected from 25 9–11-year-old dyads using a fractions intelligent tutoring system. Assessing the relation of dual gaze, tutor log, audio and dialog data to students' learning gains, we find that a combination of modalities, especially those at a smaller time scale, such as gaze and audio, provides a more accurate prediction of learning gains than models with a single modality. Our work contributes to the understanding of how analyzing multimodal data in temporal manner provides additional information around the collaborative learning process.  相似文献   

11.
The purpose of the experiment was to determine the separate and combined effects of varied learning materials (knowledge maps or texts) and teaching props (overview maps or outlines) on the learning of 2 different sets of material within the context of cooperative teaching. The participants were assigned to 1 of 4 cooperative teaching groups that used knowledge maps or texts as study materials, teaching props, or both. Each dyad studied material on probability theory (PT) and on the autonomic nervous system (ANS). One participant was responsible for teaching 1 set of material and was the learner for the other set of material. The teachers significantly outperformed the learners on measures of recall that included content and organization. The effects of format of the study materials or communication props depended on the prior knowledge of the participants. Format of the materials affected scores on organization for the PT passage but affected the content of the recall of the ANS passage. The results of the experiment delineated some of the conditions under which knowledge maps and texts are effective as learning or teaching tools.  相似文献   

12.
随着大数据技术、学习分析技术的发展,一大批基于数据分析的自适应学习平台应运而生,Knewton就是其中的一个。从学习组织、资源组织两个方面对“Knewton”进行了深层次剖析,得出了一些启示。  相似文献   

13.
Byrnes and Fox present a thoughtful article on a neglected but important topic for educational psychologists. Some major contributions are their emphasis on the need for consistency in educational theory and neuroscience research, the lack of automatic correspondence between neuroscience research and educational applications, the need for educator awareness of neuroscience research, the importance of development, and the influence of early education. Limitations of the neuroscience perspective for education include inadequate examination of contemporary theories of learning and motivation, the generality of cognitive processes, the influence of student beliefs, and the role of self-regulation. Suggestions for future research are given.  相似文献   

14.
15.
美国学科教学中的元认知能力训练   总被引:7,自引:0,他引:7  
元认知能力是自我调控学习的核心要素,是学会学习的关键。学科教学中对学生的元认知能力进行科学化、系统化的训练是使学生形成该学科的自主学习能力的重要手段,也是实现教是为了不教目标的有益尝试。关国学者在学科教学中对学生进行元认知能力训练所取得的理论研究成果和积累的实践经验对我国当前的教育教学改革具有重要的借鉴意义。  相似文献   

16.
    
This study presents the outcomes of a semi-systematic literature review on the role of learning theory in multimodal learning analytics (MMLA) research. Based on previous systematic literature reviews in MMLA and an additional new search, 35 MMLA works were identified that use theory. The results show that MMLA studies do not always discuss their findings within an established theoretical framework. Most of the theory-driven MMLA studies are positioned in the cognitive and affective domains, and the three most frequently used theories are embodied cognition, cognitive load theory and control–value theory of achievement emotions. Often, the theories are only used to inform the study design, but there is a relationship between the most frequently used theories and the data modalities used to operationalize those theories. Although studies such as these are rare, the findings indicate that MMLA affordances can, indeed, lead to theoretical contributions to learning sciences. In this work, we discuss methods of accelerating theory-driven MMLA research and how this acceleration can extend or even create new theoretical knowledge.

Practitioner notes

What is already known about this topic
  • Multimodal learning analytics (MMLA) is an emerging field of research with inherent connections to advanced computational analyses of social phenomena.
  • MMLA can help us monitor learning activity at the micro-level and model cognitive, affective and social factors associated with learning using data from both physical and digital spaces.
  • MMLA provide new opportunities to support students' learning.
What this paper adds
  • Some MMLA works use theory, but, overall, the role of theory is currently limited.
  • The three theories dominating MMLA research are embodied cognition, control–value theory of achievement emotions and cognitive load theory.
  • Most of the theory-driven MMLA papers use theory ‘as is’ and do not consider the analytical and synthetic role of theory or aim to contribute to it.
Implications for practice and/or policy
  • If the ultimate goal of MMLA, and AI in Education in general, research is to understand and support human learning, these studies should be expected to align their findings (or not) with established relevant theories.
  • MMLA research is mature enough to contribute to learning theory, and more research should aim to do so.
  • MMLA researchers and practitioners, including technology designers, developers, educators and policy-makers, can use this review as an overview of the current state of theory-driven MMLA.
  相似文献   

17.
本文就大学英语课堂教学中合作学习对学生自我调节效用进行实证研究。运用学习激励策略量表(MSLQ)进行了前测与后测。受试者为非英语专业大学一年级的学生(n=70),将其随机分为两个组,一个为实验组,另一个为控制组。控制组的教学采用以教师为主要导向的传统教学方法;实验组采用以学生为中心的合作学习、团队研究解决问题的教学方法。研究结果表明,实验组的学生在内在目标取向、自我价值观念、运用借题发挥、批判性思维、元认知自我调节、同侪协作互动学习等策略的调节使用方面比控制组的学生程度要高,且两个组的成绩对比具有显著性差异。  相似文献   

18.
The focus on quality improvements by institutions for better online and blended teaching can be delivered in different ways. This article reports on the implementation of this process and the approaches taken first, in terms of the design of new learning materials, and second, when reviewing the existing curriculum. The study aims to ascertain whether the combination of a collaborative, networked approach at the initial design stage, augmented with visualisations, has changed the way educators design their courses at The Open University, UK. Analysis of 148 learning designs shows both before and after the introduction of Learning Design, which of the pedagogic decisions that educators made substantially changed. Courses that were designed after the introduction of Learning Design were more focused on the development of a range of skills and included fewer assimilative activities (reading, watching videos and listening to audio). Our findings suggest that by visualising the design upfront, educators focused less on traditional teaching patterns, such as the ‘teach, practice, apply’ model. Remarkably, just by visualising initial decisions and working in collaborative workshops, educators created more student-centred and creative designs aimed to develop a range of skills which support students in both their studies and the workplace. Further studies are needed to establish whether these pedagogic decisions have an impact on student outcomes and whether these findings can be replicated in different institutions.  相似文献   

19.
    
Cognitive skills acquisition involves developing the ability to solve problems in knowledge-rich task domains, and is particularly important for any individual attempting to meet the challenges of our modern, knowledge-driven economy. This type of economy argues for reconceptualizing cognitive skills acquisition as a lifelong process. Research has shown that worked-out examples are the key to initial cognitive skill acquisition and, therefore, critical to lifelong learning. The extent to which learners' profit from the study of examples, however, depends on how well they explain the solutions of the examples to themselves. This paper discusses our own research on different types of computer-based learning environments that indirectly foster self-explanations by (a) fostering anticipative reasoning, (b) supporting self-explanations during the transition from example study to problem solving, and (c) supporting self-explanation activities with instructional explanations. It also discusses ways of leveraging new computer and video technologies to enhance these environments by representing problem situations and their concepts dynamically. The paper concludes by suggesting that these learning environments, if employed successfully, can encourage systematic, lifelong learning.  相似文献   

20.
    
Measurement is a central issue for the self-regulated learning (SRL) field as SRL is a phenomenon difficult to measure in a reliable and valid way. Here, 3 waves in the history of SRL measurement are identified and profiled. Our focus lies on the third and newest one, which combines measurement and intervention within the same tools. The basis for this approach is located in the reactivity principle via students’ self-monitoring: when students are aware of their actions, they can react and change what is needed. That happens when the measurement tools promote students' self-monitoring which turn part of the intervention then. Examples of this new approach to SRL measurement and guidelines for implementing it are presented.  相似文献   

设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号