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1.
Somayeh Fatahi Faezeh Shabanali-Fami Hadi Moradi 《Education and Information Technologies》2018,23(4):1427-1445
The learning style of a learner is an important parameter in his learning process. Therefore, learning styles should be considered in the design, development, and implementation of e-learning environments to increase learners’ performance. Thus, it is important to be able to automatically determine learning styles of learners in an e-learning environment. In this paper, we propose a sequential pattern mining approach to extract frequent sequential behavior patterns, which can separate learners with different learning styles. In this research, in order to recognize learners’ learning styles, system uses the Myers-Briggs Type Indicator’s (MBTI). The approach has been implemented and tested in an e-learning environment and the results show that learning styles of learners can be predicted with high accuracy. We show that learners with similar learning styles have similar sequential behavior patterns in interaction with an e-learning environment. A lot of frequent sequential behavior patterns were extracted which some of them have a meaningful relation with MBTI dimensions. 相似文献
2.
互联网的高速发展导致网络学习资源数量迅速增长,案例教学、理论教学等教学资源的个性化推荐受到更多关注。学习者模型是实现个性化推荐的依据。文章以CELTS-11学习者模型规范为基础,针对学习者的个性差异,在学习过程中对基本信息、学习风格、知识状态、认知能力、兴趣偏好等个性化特征展开研究,解决目前资源推荐系统的学习者模型中学习者特征描述不全面、个性化程度不高等问题,构建出了个性化的学习者模型,为学习资源的推送提供了有力的依据,应用效果表明了该方法的有效性。 相似文献
3.
Pragya Dwivedi Vibhor Kant Kamal K. Bharadwaj 《Education and Information Technologies》2018,23(2):819-836
With the rapid advancement of information and communication technologies, e-learning has gained a considerable attention in recent years. Many researchers have attempted to develop various e-learning systems with personalized learning mechanisms for assisting learners so that they can learn more efficiently. In this context, curriculum sequencing is considered as an important concern for developing more efficient personalized e-learning systems. A more effective personalized e-learning recommender system should recommend a sequence of learning materials called learning path, in an appropriate order with a starting and ending point, rather than a sequence of unordered learning materials. Further the recommended sequence should also match the learner preferences for enhancing their learning capabilities. Moreover, the length of recommended sequence cannot be fixed for each learner because these learners differ from one another in their preferences such as knowledge levels, learning styles, emotions, etc. In this paper, we present an effective learning path recommendation system (LPRS) for e-learners through a variable length genetic algorithm (VLGA) by considering learners’ learning styles and knowledge levels. Experimental results are presented to demonstrate the effectiveness of the proposed LPRS in e-learning environment. 相似文献
4.
Soulef Benhamdi Abdesselam Babouri Raja Chiky 《Education and Information Technologies》2017,22(4):1455-1477
Traditional e-Learning environments are based on static contents considering that all learners are similar, so they are not able to respond to each learner’s needs. These systems are less adaptive and once a system that supports a particular strategy has been designed and implemented, it is less likely to change according to student’s interactions and preferences. New educational systems should appear to ensure the personalization of learning contents. This work aims to develop a new personalization approach that provides to students the best learning materials according to their preferences, interests, background knowledge, and their memory capacity to store information. A new recommendation approach based on collaborative and content-based filtering is presented: NPR_eL (New multi-Personalized Recommender for e Learning). This approach was integrated in a learning environment in order to deliver personalized learning material. We demonstrate the effectiveness of our approach through the design, implementation, analysis and evaluation of a personal learning environment. 相似文献
5.
画像技术在当前精准营销中的应用非常广泛,而其在教育领域尤其是在线学习者的特征识别方面研究较少。文章从学习者的一般特征、学习准备、学习风格、行为特征四个方面对学习者进行分析,提出在线学习者画像描述的总体框架。同时,通过机器学习对在线学习行为数据进行挖掘,文章分别从以上四个方面对学习者画像进行建模研究,重点讨论了学习风格的建模过程,并通过对在线学习者个案分析,阐述了学习者画像在指导学习资源精准推荐、评估在线学习者学业失败或退出风险等方面的应用,为个性化教育实施提供了实践案例。 相似文献
6.
Learning materials recommendation using good learners’ ratings and content-based filtering 总被引：1，自引：0，他引：1
Khairil Imran Ghauth Nor Aniza Abdullah 《Educational technology research and development : ETR & D》2010,58(6):711-727
The enormity of the amount of learning materials in e-learning has led to the difficulty of locating suitable learning materials
for a particular learning topic, creating the need for recommendation tools within a learning context. In this paper, we aim
to address this need by proposing a novel e-learning recommender system framework that is based on two conceptual foundations—peer
learning and social learning theories that encourage students to cooperate and learn among themselves. Our proposed framework
works on the idea of recommending learning materials with a similar content and indicating the quality of learning materials
based on good learners’ ratings. A comprehensive set of experiments were conducted to measure the system accuracy and its
impact on learner’s performance. The obtained results show that the proposed e-learning recommender system has a significant
improvement in the post-test of about 12.16% with the effect size of 0.6 and 13.11% with the effect size of 0.53 when compared
to the e-learning with a content-based recommender system and the e-learning without a recommender system, respectively. Furthermore,
the proposed recommender system performed better in terms of having a small rating deviation and a higher precision as compared
to e-learning with a content-based recommender system. 相似文献
7.
谭立重 《深圳职业技术学院学报》2011,10(6):40-44
从心理词汇的组织着手,重点分析了二语学习者应该如何根据心理词汇的动态发展过程采取词汇学习策略。得出的结论是：二语学习者的心理词汇组织是一个从母语概念向目标语概念转化的动态变化过程,所以词汇学习策略也应该从以词形为中心的策略逐步向以语义为中心的策略过渡。 相似文献
8.
Supachanun Wanapu Chun Che Fung Nittaya Kerdprasop Nisachol Chamnongsri Suphakit Niwattanakul 《Education and Information Technologies》2016,21(5):1113-1134
The issues of accessibility, management, storage and organization of Learning Objects (LOs) in education systems are a high priority of the Thai Government. Incorporating personalized learning or learning styles in a learning object management system to improve the accessibility of LOs has been addressed continuously in the Thai education system. A proposed Learning Object Management Model (LOMM) is discussed in this paper which aims to adapt and optimize the learning process based on characteristics of the individual learners. This study aims to find the correlation between learning styles and LOs characteristics in the LOMM. Decision Tree and Apriori algorithms were used to generate a predictive model for the classification of learners. Development of the predictive model was based on survey results from 1,586 high school students in Nakhon Ratchasima province, Thailand. The diverse LOs characteristics were analyzed in order to find the correlation with learning styles of the learners. The classification model consists of 24 sub-models used to predict a learner’s class based on 8 groups of LOs characteristics. The best accuracy obtained in the study was 80.23%. Finally, for the next phase this approach has been designed to support the proposed LOMM and it is expected that it could be readily applied to other e-learning systems and digital repositories. 相似文献
9.
E-learning allows learners individually to learn “anywhere, anytime” and offers immediate access to specific information. However, learners have different behaviors, learning styles, attitudes, and aptitudes, which affect their learning process, and therefore learning environments need to adapt according to these differences, so as to increase the results of the learning process. In addition, providing the same learning content to all the learners may lead to a reduction in the learner's performance. Hence, there is a need to classify the learners based on their performance and knowledge level. Learner profiles play an important role in making the e-learning environment adaptive. Providing an adaptive learning environment, catering to the changing needs and behavior of the learner can be achieved by evolving dynamic learner profiles. Navigation logs can be used to analyze learners’ behavior over a period of time. In this work, we propose dynamic learner profiling to cater to changing learner behaviors, styles, goals, preferences, performances, knowledge level, learner's state, content difficulty, and feedbacks. Based on the continuous observation of learner preferences and requirements, the learner profile is dynamically updated. Furthermore, we propose an automatic learner classification to construct the learner profile and identify the complexity level of learning content, using the Bayesian belief network and decision tree techniques. We evaluated our system with two traditional adaptive e-learning systems, using static profiles and behavioral aspects, through our performance evaluation method of different learner types. In addition, we compared the actual learners’ data with the system generated results for various types of learners, and showed the increased interest in their learning outcomes. 相似文献
10.
英语学习者是英语教学的主体;英语语句能力是语言输出能力的根本。主体的学习品质决定其学习方法的选择、运用和运用效率。本文通过对英语学习者学习品质的简要论述,旨在说明,只有当英语学习主体的的动态＂品质＂得到完善,学习者的英语语句生成能力才能相应提高。 相似文献
11.
Drawing from social resource-social capital theory, this paper aims to clarify and characterize the role of harmonious learner–instructor and learner–learner relationships in promoting experience and retaining learners in online learning environments. Hypotheses are tested by applying a structural equation model and the data are collected from a survey of online learning website (n?=?539). The results suggest that harmonious relationships have a positive impact on learners’ experience (i.e. perceived performance, enjoyment and social presence), which, in turn, strengthen learners’ continuous intention to use the e-learning platform. And learners’ expertise moderates the relationships between harmonious relationships and learner experience. Based on the analysis results, this study can provide educational institutions with useful tactics to retain learners in the e-learning environments. 相似文献
12.
Pierre Dillenbourg John A. Self 《European Journal of Psychology of Education - EJPE》1992,7(4):353-372
In most Interactive Learning Environments (ILEs), the human learner interacts with an expert in the domain to be taught. We explored a different approach: the system does not know more than the learner, but learns by interacting with him. A human-computer collaborative learning (HCCL) system includes a micro-world, in which two learners jointly try to solve problems and learn, the human learner and a computerized co-learner. This paper presents the foundations of this artificial co-learner. The collaboration between learners is modelled as “socially distributed cognition’ (SDC). The SDC model connects three ideas: (i) a group is a cognitive system, (ii) reflection is a dialogue with oneself, (iii) social processes are internalised. The key has been to find a computational connection between those ideas. The domain chosen for illustration is the argumentation concerning how some changes to an electoral system affect the results of elections. This argumentation involves a sequence of arguments and their refutations. The basic principle is that learners ‘store’ the structure of this argumentation (dialogue pattern) and ‘replay’ it individually later on. The verbs ‘store’ and ‘replay’ do not refer to a simple ‘record and retrieve’ process. Storage is implemented as the incremental and parameterised evolution of a network of arguments, here called a ‘dialogue pattern’. The learning outcome is a structuration of knowledge (rules) into situation-specific models, used to guide reasoning. We conducted experiments in two settings: with a human and an artificial learner or with two artificial learners. The common findings of these two experiments is that the SDC model generates learning effects provided that the discussion is intensive, i.e. that many arguments are brought into dialogue. The importance of this variable also appears in Hutchins’ (1991) modelling of the evolution of the confirmation bias in groups. It is argued than computational models are heuristic tools, allowing researchers to isolate variables for designing empirical studies with human subjects. 相似文献
13.
This study focuses on student teachers’ team teaching. Two team teaching models (sequential and parallel teaching) were applied by 14 student teachers in a quasi-experimental design. When implementing new teaching models, it is important to take into account the perspectives of all actors involved. Although learners are key actors in the teaching process, their perspective is often ignored. Therefore, the central research question is: How do learners experience sequential and parallel teaching? A questionnaire was administered to the 229 learners participating in the experiment. Exploratory factor analysis and multilevel analysis revealed that both models were evaluated positively. However, parallel teaching scored significantly higher on advantages whereas sequential teaching scored higher on disadvantages. Quantitative content analysis revealed additional information. Benefits of parallel teaching were high levels of concentration and involvement and a positive atmosphere. In sequential teaching, learners appreciated the additional support and variation. Disadvantages of sequential teaching referred to the fact that it was confusing and to differences between both teachers. Learners in parallel teaching disliked the splitting of the class group. They were concerned that both learner groups would not be treated equally. These findings reveal that from the learners’ perspective, parallel teaching should be preferred above sequential teaching. 相似文献
14.
Bart Rienties Dirk Tempelaar Bas Giesbers Mien Segers Wim Gijselaers 《Interactive Learning Environments》2013,21(5):631-648
A large number of studies in CMC have assessed how social interaction, processes and learning outcomes are intertwined. The present research explores how the degree of self-determination of learners, that is the motivational orientation of a learner, influences the communication and interaction patterns in an online Problem Based Learning environment. Given the complexity of CMC, we expected that autonomous learners would be more willing to contribute to cognitive discourse. In time, we expected that control-oriented learners would develop a preferential attachment to contribute to discourse from autonomous learners. Data were gathered from 37 autonomous and 39 control-oriented learners who posted 1669 messages. Using a dynamic multi-method approach of content analysis of cognitive and social discourse, social network analysis, and measures of academic motivation, we find some preliminary evidence that motivational orientation influences communication and social interaction patterns amongst learners. From the beginning, most control-oriented learners develop a preference to connect to and communicate with autonomous learners, although a separate team-analysis indicates that group dynamics also influence how learners develop connections with other learners in time. Our findings further the understanding of differences found in distance learning courses about participation and drop-out. 相似文献
15.
Gwyneth Hughes 《Teaching in Higher Education》2013,18(3):349-363
Improving retention and identifying ‘at risk’ learners are high profile issues in higher education, and a proposed solution is to provide good learner support. Blending of online learning with classroom sessions offers the potential to use a virtual learning environment to deliver learning activities, and to support learners using a distance learning model. Online tracking can also help to target ‘at risk’ learners quickly. In an action research project to improve retention, a blended module with proactive tutor support was compared with a previous cohort of the module and with similar classroom-only modules where there was no focus on learner support. Learners were also interviewed and the tutor kept records of the learner contact time. The resulting improved coursework submission rate was attributed to learner motivation as a result of peer and tutor support. The total teaching time was no greater in this model, although the workload distribution changed, and the tutor needed to be highly skilled in e-learning. 相似文献
16.
旨在通过问卷调查分析对英语专业学生口语输出准确度造成较大影响的因素,包括:学习者态度,学习环境,口语输出量,动机,自信等。随后进行的半结构式访谈旨在进一步了解这些因素如何影响口语输出的准确度。研究发现,学习者态度、学习环境、动机、自信都通过口语输出量作为中介因素最终影响口语输出的准确度。 相似文献
17.
Julie Brown 《Journal of Further & Higher Education》2017,41(1):60-78
This article presents an overview of the findings of a recently completed study exploring the potentially transformative impact upon learners of recognition of prior informal learning (RPL). The specific transformative dimension being reported is learner identity. In addition to providing a starting point for an evidence base within Scotland, the research findings have the potential to enhance future development within the recognition of prior informal learning area, in particular in higher education institutions (HEIs) and across the sector. A qualitative case study using a constructionist approach is utilised to develop contextual understandings of the learner experience of RPL. The study identifies connections between the RPL process and the development of learner identity. Semi-structured interviews with RPL learners provided rich data. This study asserts that learner identity fluctuates throughout learners’ experiences and therefore the development of learner identity is not linear but nonetheless that identity changes as part of the RPL process. A number of issues ultimately impact upon learner identities, including the role of RPL advisors and RPL mechanisms and processes. This research concludes that RPL has the potential to be transformative for some learners and identifies some areas worthy of further exploration. 相似文献
18.
Chih-Ming Chen 《Interactive Learning Environments》2013,21(5):469-495
Despite rapid and continued adoption of mobile devices, few learning modes integrate with mobile technologies and libraries' environments as innovative learning modes that emphasize the key roles of libraries in facilitating learning. In addition, some education experts have claimed that transmitting knowledge to learners is not the only educational goal, as cultivating problem-solving skills is also essential. By integrating the problem-based learning (PBL) model with book resources in libraries, one can identify the advantages of libraries in supporting e-Learning, resulting in innovative and valuable research. Therefore, this study presents a novel intelligent mobile location-aware book recommendation system (IMLBRS) with map-based guidance to support cooperative PBL in a real-library environment. Using map navigation and book recommendation functionalities, learners can search for books associated with problem-solving with increased ease and efficiency, thereby helping learners increase their PBL performance in a library environment. Experimental results reveal that learning performance during PBL supported by the proposed IMLBRS for book searches is superior to learning performance during PBL supported by the online public access catalogue (OPAC). Experimental results also show that the proposed system facilitates better learning performance for learners with a field-dependent learning style than for learners with a field-independent learning style. Moreover, the proposed system facilitates learner contemplation, cooperative learning, and library user education as learners interact with a real-library environment and peers during cooperative PBL. 相似文献
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20.
This article examines the relative perceived importance of 19 instructor actions in online courses according to both instructors and students. The instructor actions were culled from guidelines in the online learning literature base and then reviewed and rated by 14 experts. Thirty‐two online instructors and 170 students from their classes at a large public university and a private online university were asked to review and rate these guidelines. Findings show that the instructors believe that learner performance is more likely tied to instructor actions that are focused on course content and provide both proactive (models, expectations) and reactive (feedback) information to learners about their ability to demonstrate knowledge of course material, but learner satisfaction is more likely tied to learners’ feeling that their interpersonal communication needs are met. Learners rated items focused on communication needs and being treated as individuals as most important, aligning their stated preferences with the instructors’ perceptions of what actions are most satisfying to online learners. 相似文献