概念图在高职学生协作学习中的应用研究

协作能力是高职学生应必备的一种重要的实践能力.本研究利用《大学生信息素养》课程,尝试应用概念图开展协作学习,培养学生的协作能力.通过问卷调查和量表测试,分析概念图在大学生协作学习中的应用效果,初步证实概念图在高职学生协作学习中应用具有一定的效果,并认为基于概念图的协作学习活动应包括协作学习准备、协作学习实施、学习成果汇报三个阶段.     

英语语音合成中基于有限泛化法的字素切分规则的机器学习

在英语语音合成中,由于英语有着几乎无限多的词汇,因此不可能创建包含所有词汇的词库。对于未包含在词库中的英语单词,通过“字母转换成音素（L2P）”算法自动生成其音标是一个最好的解决办法。而L2P首要的任务就是字素切分。为此,文中提出了一种有限泛化法（FGA）的机器学习算法,用于进行字素切分规则学习。用于学习的词典库有27040个单词,其中90％的词用于规则学习,剩下的10％用于测试。经过10轮交叉验证,学习实例和测试实例的平均实例切分正确率为99．84％和97．88％,平均单词切分正确率为99．72％和96．35％：平均规则数为472个。     

An exploration of the uncertainty relation satisfied by BP network learning ability and generalization ability

An overfit phenomenon exists in the BP network. The so-called overfit means that as long as the network is allowed to be sufficiently complicated, the BP network can minimize the error of the training sample set; however, in the case of a limited number of samples, the generalization ability of the network will decrease. This indicates that there is a relation between the learning ability and the generalization ability. Therefore, studying the relationship between the learning ability is the…     

Students’ perceptions of collaboration, self-regulated learning, and information seeking in the context of Internet-based learning and traditional learning

This study aims to investigate students’ perceptions of three aspects of learning - collaboration, self-regulated learning (SRL), and information seeking (IS) in both Internet-based and traditional face-to-face learning contexts. A multi-dimensional questionnaire was designed to evaluate each aspect in terms of perceived capability, experience, and interest. The analyses explore (1) potential differences of students’ perceptions between Internet-based and face-to-face learning environments and (2) potential differences in the three aspects in relation to learners’ attributes and the use of the Internet and enrollment in online courses. This study surveyed students in a higher education institute who had had experiences with Internet-based and face-to-face learning. The results showed that students perceived higher levels of collaboration (capability only), SRL (capability and experience) and IS (capability, interest, and experience) in Internet-based learning than in traditional learning environments. In terms of students’ education level, graduate students perceived higher levels of capabilities and interests in some of the aspects, than undergraduate students. In addition, for Internet-based learning, significant differences in collaboration and SRL were found derived from time spent on the Internet related to learning; and students’ perceptions of collaboration, SRL, and IS were all positively correlated to students’ online course-taking experience. Implications for online learning practices and instructor’s facilitation are discussed.     

Further evidence on the validity of web-based research on associative learning: Augmentation in a predictive learning task

Most demonstrations of the validity of Internet-based research methods are based on replications of well-known experimental phenomena on the Internet. However, in order to test whether the lack of control over the experimental conditions usually found in Internet studies has an effect on the quality of data, it would be more interesting to show that the Internet cannot only be used to replicate common and well-documented effects, but also less-known experimental findings or elusive phenomena that tend to occur only in very specific conditions. The present experiment explores one such effect, namely augmentation in associative learning, and shows that it can be readily found in the laboratory and on the Internet.     

Machine learning techniques to predict sensitive patterns to fault attack in the Java Card application

Fault attack represents one of the serious threats against Java Card security. It consists of physical perturbation of chip components to introduce faults in the code execution. A fault may be induced using a laser beam to impact opcodes and operands of instructions. This could lead to a mutation of the application code in such a way that it becomes hostile. Any successful attack may reveal a secret information stored in the card or grant an undesired authorisation. We propose a methodology to recognise, during the development step, the sensitive patterns to the fault attack in the Java Card applications. It is based on the concepts from text categorisation and machine learning. In fact, in this method, we represented the patterns using opcodes n-grams as features, and we evaluated different machine learning classifiers. The results show that the classifiers performed poorly when classifying dangerous sensitive patterns, due to the imbalance of our data-set. The number of dangerous sensitive patterns is much lower than the number of not dangerous patterns. We used resampling techniques to balance the class distribution in our data-set. The experimental results indicated that the resampling techniques improved the accuracy of the classifiers. In addition, our proposed method reduces the execution time of sensitive patterns classification in comparison to the SmartCM tool. This tool is used in our study to evaluate the effect of faults on Java Card applications.     

Digital tools and challenges to institutional traditions of learning: technologies, social memory and the performative nature of learning

The purpose of this article is to offer some reflections on the relationships between digital technologies and learning. It is argued that activities of learning, as they have been practised within institutionalized schooling, are coming under increasing pressure from the developments of digital technologies and the capacities to store, access and manipulate information that such resources offer. Thus, the technologies do not merely support learning; they transform how we learn and how we come to interpret learning. The metaphors of learning currently emerging as relevant in the new media ecology emphasize the transformational and performative nature of such activities, and of knowing in general. These developments make the hybrid nature of human knowing and learning obvious; what we know and master is, to an increasing extent, a function of the mediating tools we are familiar with. At a theoretical and practical level, this implies that the interdependences between human agency, minds, bodies and technologies have to serve as foundations when attempting to understand and improve learning. Attempts to account for what people know without integrating their mastery of increasingly sophisticated technologies into the picture will lack ecological validity.     

A study of the relationships among learning styles, participation types, and performance in programming language learning supported by online forums

This study is focused on the relationships among learning styles, participation types, and learning performance for programming language learning supported by an online forum. Kolb’s learning style inventory was used in this study to determine a learner’s learning type: ‘Diverger’, ‘Assimilator’, ‘Converger’, and ‘Accommodator’. Social Learning Theory was also used to define four participation types. These types in turn were used to describe the learning associated with the use of online forums: ‘Replier’, ‘Asker’, ‘Watcher’, and ‘No activity’.A total of 144 students participated in this experiment as part of a half semester ASP.NET programming language learning courses. The course contained an online forum for supporting the students’ social activities and participation. In this study, ‘learning score’ and ‘satisfaction’ were used to measure learning performance.The results of this study were the following: (1) different learning styles were associated with significantly different learning scores and that the ‘Accommodator’ style was associated with superior learning scores; (2) participation types were also associated with significantly different learning scores and that the ‘Replier’ type is associated with superior learning scores; (3) learning satisfaction is not significantly different among the different learning styles or different participation types, but the average is significantly higher than average values (3.5) of 7-point Likert scale; (4) there is no significant association between learning styles and participation types. Explanations and discussions of these results are offered.Based on the results of this study, we propose that programming language learning, supported with online forums and students’ active participation, increases learning performance as measured by student learning scores.     

Audience,integrity, and the living document: eFolio Minnesota and lifelong and lifewide learning with ePortfolios

Policies and programs focused on using ePortfolios to support lifelong and lifewide learning should be informed by research. This article presents the results from research on eFolio Minnesota, a project that makes ePortfolio software available to all residents of the State of Minnesota in the United States. The most active portfolio authors of all ages are using eFolio for a wide range of interconnected purposes, with educational planning at the center, over time in multiple roles as students, educators, and workers. In the process of composing a portfolio, the authors who say eFolio has had a highly significant impact on their learning move from an experimental stage into a living document stage. In this second stage, authors are likely to have a strong sense of and connection to audience, real and imagined, and to see their portfolios as having integrity, as being faithful representations of their lives across roles and over time. Portfolio projects committed to supporting learning throughout life should enable access, foreground planning, promote findability, cultivate audiences, capture activity, enable layering, foreground the personal, cultivate collaborative contexts, and promote integral introductions.     

Advancing educational research on collaboration through the use of gStudy computer-supported collaborative learning (CSCL) tools: Introduction to special issue

This is an introduction to a special issue on computer-supported collaborative learning.     

Comparative analysis of the organisational learning process in Slovenia, Croatia, and Malaysia

Several empirical studies have proved that better organisational learning induces higher organisational performance. However, none of them addressed the issue of organisational learning process simultaneously in several countries. In our contribution, we aim to test differences in the way companies learn in Slovenia, Croatia, and Malaysia. We used the OLIMP questionnaire, a measurement instrument developed and tested by [Dimovski, V. (1994), Organisational learning and competitive advantage. PhD Thesis, Cleveland, Ohio; Dimovski, V., & Škerlavaj, M. (2005). Performance effects of organisational learning in a transitional economy. Problems and Perspectives in Management 3(4), 56–67]. It employs three measurement variables (information acquisition, information interpretation, and behavioural and cognitive changes) as well as 38 items (presented in the paper) to measure the organisational learning construct. In autumn 2005 data from 203 Slovenian, 202 Croatian and 300 Malaysian companies were gathered. The results indicate that companies in all three countries under scrutiny are closest in terms of behavioural and cognitive changes, meaning that globalisation and other challenges of the modern business environment demand all of them to change and adapt quickly. However, the ways they are coping with these challenges are different. There are more similarities than dissimilarities between Slovenia and Croatia, while this is not the case when comparing both countries to Malaysia. When acquiring information, Slovenian and Croatian companies rely more on internal sources (own employees, past decisions, etc.), while Malaysian companies tend to rely more on external sources and more often have employees dedicated to searching for external information. When trying to interpret the information acquired, Slovenian and Croatian companies rely more on personal contacts, informal team meetings and believe that information given to subordinates must be simple and concise, while Malaysian companies tend to use more formal collective decision-making and written communication to understand the meaning of information.     

A model of (en)action to approach embodiment: a cornerstone for the design of virtual environments for learning

This paper presents a model of (en)action from a conceptual and theoretical point of view. This model is used to provide solid bases to overcome the complexity of designing virtual environments for learning (VEL). It provides a common grounding for trans-disciplinary collaborations where embodiment can be perceived as the cornerstone of the project. Where virtual environments are concerned, both computer scientists and educationalists have to deal with the learner/user’s body; therefore the model provides tools with which to approach both human actions and learning processes within a threefold model. It is mainly based on neuroscientific research, including enaction and the neurophysiology of action.     

Dyadic interactions at the microcomputer interface: a case study in computer assisted learning

Abstract A case study in which dyads of subjects (both a pupil-pupil and a teacher-pupil dyad) use a microcomputer computer assisted learning (CAL) program is discussed. We argue that an approach involving the videotaping of pupils' interactions around the computer, microanalysing the resulting dialogue, and relating the results from the dialogue analysis to learning outcomes is a potentially very powerful method for evaluating the educational efficacy of CAL software. The present case study describes a technique for collecting appropriate data, indicates the richness of such dialogue data and illustrates some of the hidden problems in CAL program use which other evaluation methods are unlikely to expose.