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1.
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
2.
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
3.
Hosam Al-Samarraie Hassan Selim Timothy Teo Fahed Zaqout 《Interactive Learning Environments》2017,25(4):452-466
When faced with excessive detail in an online environment, typical users have difficulty processing all the elements of representation. This in turn creates cognitive overload, which narrows the user's focus to a few select items. In the context of e-learning, we translated this aspect as the learner's demand for a system that facilitates the retrieval of learning content – one in which the representation is easy to read and understand. We hypothesized that the representation of content in an e-learning system's design is an important antecedent for learner preferences. The aspects of isolation and distinctiveness were incorporated into the design of e-learning representation as an attempt to promote student cognition. Following its development, the model was empirically validated by conducting a survey of 300 university students. We found that isolation and distinctiveness in the design elements appeared to facilitate the ability of students to read and remember online learning content. This in turn was found to drive user preferences for using e-learning systems. The findings provide designers with managerial insights for enticing learners to continue using e-learning systems. 相似文献
4.
How learners can build their own knowledge, which is precisely tailored to their needs and background? This is precisely the question to which this paper attempts to answer by providing a framework for a flexible object-based e-learning environment. The paper recognizes that the general learner modeling alternative is an intractable problem. However, it suggests learning objects construct used as building blocks to root out individual learning deficiencies. The paper also provides an algorithm to construct individual learning routes that are adjusted to learners' profile as well as an open implementation to accommodate the integration of various learning sources. 相似文献
5.
Abyaa Abir Khalidi Idrissi Mohammed Bennani Samir 《Educational technology research and development : ETR & D》2019,67(5):1105-1143
The field of adaptive e-learning is continuously developing. More research is being conducted in this area as adaptive e-learning aims to provide learners with adaptive learning paths and content, according to their individual characteristics and needs, which makes e-learning more efficient and effective. The learner model, which is a representation of different learner’s characteristics, plays a key role in this adaptation. This paper presents a systematic literature review about learner modelling during the last 5 years, describing the different modelled characteristics and the adopted modelling techniques and modeling types: automatic modeling and collaborative modeling. 107 publications were selected and analyzed, and six categories of the modelled characteristics were identified. This literature review contributes to the identification of the learners’ individual traits and presents the most used modelling techniques for each of them. It also identifies the latest research trends of Learner Modeling and generates future research directions in this field.
相似文献6.
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
7.
This special issue of Learning and Instruction examines the role of emotions in academic learning, with a special focus on emotions in computer-supported academic learning (or e-learning). Three central research challenges concerning emotion in e-learning are: identification (e.g., what are the key emotions in e-learning?), measurement (e.g., how can we tell how strongly a learner is experiencing each key emotion during e-learning?), and explanation (e.g., what are the causes and consequences of the learner's emotional state during learning?). A useful goal of research on emotions in e-learning is to test an affective-cognitive model of e-learning with links among an e-learning episode, the learner's emotional reaction during learning, the learner's cognitive processing during learning, and the learning outcome. 相似文献
8.
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
9.
Klaus-Dieter Schewe Bernhard Thalheim Aleksander Binemann-Zdanowicz Roland Kaschek Thomas Kuss Bernd Tschiedel 《Education and Information Technologies》2005,10(1-2):83-110
Starting from a general framework for web-based e-learning systems that is based on an abstraction layer model, this paper presents a conceptual modelling approach, which captures the modelling of learners, the modelling of courses, the personalisation of courses, and the management of data in e-learning systems. Courses are modelled by outline graphs, which are further refined by some form of process algebra. The linguistic analysis of word fields referring to an application domain helps to set up these course outlines. Learners are modelled by classifying value combinations for their characteristic properties. Each learner type gives rise to intentions as well as rights and obligations in using a learning system. Intentions can be formalised as postconditions, while rights and obligations lead to deontic constraints. The intentions can be used for the personalisation of the learning system to a learner type. Finally, the management of data in an e-learning system is approached on two different levels dealing with the content of individual learning units and the integrated content of the whole system, respectively. This leads to supporting databases and views defined on them. 相似文献
10.
Jia-Jiunn Lo Pai-Chuan Shu 《British journal of educational technology : journal of the Council for Educational Technology》2005,36(1):43-55
Identification of individual learning style is important when developing adaptive educational hypermedia systems. Current systems ask learners to complete questionnaires to identify their learning styles, which might not be appropriate in some contexts. The goal of this research is to identify the learner's learning style by simply observing his/her browsing behaviour without asking the learner to answer any questions or filling out any form. It is implemented through a multi‐layer feed forward neural network (MLFF). Browsing behaviour, in this research, includes three factors, the use of embedded support devices (ESDs), the selection of link types, and the navigation between visited/unvisited nodes. The experiment results showed the proposed model performed well in identifying learning styles. Link type is the dominant factor and Time shift may not be a major factor in the identification of learning styles. Because of the fast execution property of neural networks and identification of learning styles online, it is possible to incorporate learning styles into online adaptive educational web‐based systems. 相似文献
11.
Using schema theory as a framework, we view learning as an active, constructive process. It is affected not only by learners' internal knowledge structures, but by the external constraints of the learning environment as well (Kozma, 1991). This article examines how different internal learner characteristics (e.g., prior knowledge, self efficacy and interest) and different external constraints (e.g., learner control, instructional design and level of control) influence the learning process. Specifically, we address learning from a variety of multimedia environments such as video, hypertexts, kiosks and other hypermedia within a schema theoretic approach that incorporates a constructivist view. 相似文献
12.
通过对网络学习中学习者在感觉通道、学习材料、学习环境和思维方式等方面偏好的分析,构建网络学习者学习风格特征结构模型。以此模型作为理论依据,提出对网络学习者学习行为进行采集、诊断和个性化引导的方法,并设计网络学习行为个性化引导系统。 相似文献
13.
Olurotimi R. Akinlofa Patrik O'Brian Holt Eyad Elyan 《British journal of educational technology : journal of the Council for Educational Technology》2013,44(5):810-820
Previous research into the effectiveness of dynamic versus static instructional design paradigms has reported divergent findings. Dynamic instructions have been shown to be more effective in teaching novel procedural skills. In contrast, the apparent benefit of dynamic over static instructions has been attributed in other studies to the cognitive capabilities and previous knowledge of the learner. Can the benefit of dynamic instruction persist in learners with domain expertise on learning novel tasks? In this paper, we report the result of an experiment that shows that irrespective of the learner's previous knowledge, dynamic instructions retain a significant effectiveness over statics for teaching intra‐domain novel task performance. Twenty‐four participants with domain expertise were divided into three independent groups to perform a procedural motor task following treatment with different training interfaces. After controlling for spatial abilities and excluding previous specific‐to‐task knowledge, we observe that participants that trained with interfaces containing dynamic content recorded better task performance measures than others using non‐dynamic interfaces. This suggest that within the context of motor skill acquisition, dynamic instructional interfaces can yield significant increases to post‐learning task performance measures, which is independent of the learner's cognitive capabilities or previous knowledge. 相似文献
14.
Paul Nwati Munje 《Compare》2019,49(4):511-528
A qualitative based study was undertaken to explore the impact of teacher professional conduct on learner experiences and performance in three poor primary schools in a disadvantaged community in Cape Town, South Africa. Data was gathered through individual and focus-group interviews, observations and document reviews. The paper uses the capabilities approach to show how teacher professional conduct impact on the aspirations of primary school learners. The paper highlights the silent role limited learning resources, contextual challenges, learner backgrounds, dysfunctional school management systems and policy play in exacerbating teacher unprofessionalism and learner unfreedoms in high-poverty-level areas. It also stresses the critical role the education system has to play in normalising teacher professional conduct by reassessing the impact of these constraints in the classroom. Teachers as part of the change process have to be accountable for their own actions and also voluntarily change their attitudes when dealing with learners. 相似文献
15.
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
16.
学习者模型是自适应学习系统的重要组成部分,然而传统的学习者模型往往是封闭的,学习者无法知晓模型的具体内容。文章从学习者模型内容开放的视角,设计了能够表征学习者认知状态和知识结构并推送学习路径与学习同伴的开放学习者模型——学习认知地图。基于学习元平台,文章从认知状态评测、知识结构计算和可视化呈现三个方面对学习认知地图的构建过程进行了阐述。之后,文章将构建的学习认知地图应用于中学信息技术课堂,实践结果表明:学习认知地图能够提升学生的学习态度,同时学生对具有学习认知地图支持的在线学习方式满意度更高。文章设计并检验了作为一种开放学习者模型实践样态的学习认知地图的效果,以期为开放学习者模型的进一步研究提供参考。 相似文献
17.
Swarm intelligence approaches, such as ant colony optimization (ACO), are used in adaptive e-learning systems and provide an effective method for finding optimal learning paths based on self-organization. The aim of this paper is to develop an improved modeling of adaptive tutoring systems using ACO. In this model, the learning object is personalized based on learning and solving problem styles. The purposed algorithm, based on ACO, generates the adaptive optimal learning path. The algorithm describes an architecture which supports the recording, processing and presentation of collective learner behavior designed to create a feedback loop informing learners of successful paths towards the attainment of learning goals. The algorithm parameters are tuned dynamically to conform to the actual pedagogical process. The article includes the results of implementation and experiment represent this algorithm is able to provide its main purpose which is finding optimal learning paths based on learning styles and improved performance of previous adaptive tutoring systems. 相似文献
18.
Chih-Ming Chen 《British journal of educational technology : journal of the Council for Educational Technology》2009,40(6):1028-1058
Developing personalised web-based learning systems has been an important research issue in e-learning because no fixed learning pathway will be appropriate for all learners. However, most current web-based learning platforms with personalised curriculum sequencing tend to emphasise the learner preferences and interests in relation to personalised learning services but fail to consider the difficulty level of course materials, learning order of prior and posterior knowledge and learner abilities while constructing a personalised learning path. As a result, these ignored factors thus easily lead to the generation of poor quality learning paths. Generally, learners could generate cognitive overload or fall into cognitive disorientation owing to inappropriate curriculum sequencing during learning processes, thus, reducing the learning effect. With the advancement of artificial intelligence technologies, ontology technologies enable a linguistic infrastructure to represent conceptual relationships between course materials. Ontology can be served as a structured knowledge representation scheme, capable of assisting the construction of a personalised learning path. This study thus proposes a novel genetic-based curriculum sequencing scheme based on a generated ontology-based concept map, which can be automatically constructed by the pretest results of numerous learners, to plan appropriate learning paths for individual learners. The experimental results indicated that the proposed approach could create high-quality learning paths for individual learners. The proposed approach thus can help learners to learn more effectively and to likely reduce learners' cognitive overloads during learning processes. 相似文献
19.
The impact of learner characteristics on information utilization strategies, cognitive load experienced, and performance in hypermedia learning 总被引：3，自引：3，他引：0
Katharina Scheiter Peter Gerjets Brigitte Vollmann Richard Catrambone 《Learning and Instruction》2009,19(5):387-401
Against the background of an adaptation of Cognitive Load Theory to learner-controlled settings we investigated the impact of learner characteristics on information utilization strategies, cognitive load, and learning outcomes in a hypermedia environment. Based on the data of 79 students, five clusters of students were identified according to their learner characteristics by means of a cluster analysis. Further analyses showed that learners with more favorable characteristics (i.e., higher prior knowledge, more complex epistemological beliefs, more positive attitudes towards mathematics, better cognitive and metacognitive strategy use) tended to show a more adaptive example utilization behavior, reported less cognitive load, and solved more problems correctly than learners with less favorable characteristics. 相似文献
20.
A vast body of research has indicated the importance of distinguishing new vs. continuing students’ learning experiences in blended and online environments. Continuing learners may have developed learning and coping mechanisms for ‘surviving’ in such learning environments, while new learners might still need to adjust their learning approaches to the new learning context. In this large-scale replication study, we investigated whether and how the learning satisfaction experiences of 16,670 new vs. 99,976 continuing students were different. Using logistical regression modelling of learner satisfaction scores of 422 undergraduate blended and online modules (including 232 learner and module learning design variables), our findings indicated that new learners indeed differed subtly in their learning and teaching experiences across two consecutive academic years. The minor differences in key drivers between the 2014 and 2015 cohorts also indicate that institutions need to continuously monitor and act upon changing learning needs. 相似文献