It is about timing: Network prestige in asynchronous online discussions

Asynchronous online discussions are broadly used to support social learning. This paper reports on an undergraduate class's online discussion activities over one semester. Applying social network analysis, this study revealed a participation gap among students reflected by their varied levels of network prestige. The low‐prestige group initiated equivalent volumes of interactions but were less reciprocated. In‐depth analysis found the high‐prestige group also advantageous in other network measures such as closeness centrality and eigenvector centrality, as well as the strength, persistence, and reciprocity of their ties. To probe potential explanations of the revealed gap, we further contrasted post content and posting behaviours between two groups. Results did not identify any significant differences in post content but found low‐prestige students' participation less timely and more temporally compressed. This paper calls for attention to the participation gap in online discussions, microlevel temporal patterns of student activities, and practical means to scaffold student participation in asynchronous online discussions.     

A delineation of the cognitive processes manifested in a social annotation environment

This study aims to examine how students' learning trajectories progress in an online social annotation environment, and how their cognitive processes and levels of interaction correlate with their learning outcomes. Three different types of activities (cognitive, metacognitive and social) were identified in the online environment. The time series of different levels of cognitive and metacognitive activities correlate with one another, indicating that a kind of symbiotic or ecological relationship exists among the cognitive and metacognitive processes. The multiple regression results show that low‐cognitive level activities mediate the effect of high‐cognitive level activities on student's performance in the group inquiry learning project. The results of multilevel analysis indicate that the average number of highlighted texts posted per person in a group accounted for over 50% of the variance of the group inquiry learning project scores. Further, the results also indicate that the level of collaboration within a group explains over 70% of the variance of the high‐level cognitive and metacognitive activities across different groups. In sum, group collaboration is found to be conducive to fostering high‐level cognitive and metacognitive activities.     

Instructional design or school politics? A discussion of ‘orchestration' in TEL research

This paper argues that the emphasis on orchestration as a metaphor for teaching in technology‐enhanced learning (TEL) environments, featured in recent academic discussions, is an opportunity to broaden the scope of the inquiry into educational technology. Drawing on sociological literature and research that investigated the systemic factors that influence the uptake of information and communication technologies in formal and informal learning contexts, the paper contends that a focus on instructional design does insufficient justice to the complexities of actual technology use in classrooms and after‐school programs. It is suggested, instead, that orchestration might better be used as a heuristic device to deepen our understandings of the relationships between power, bestowed on teachers or claimed by them through a number of strategies, educational technology, and teaching practices. The paper concludes that to fully understand this relationship and to support teachers, concern should be given equally to the existing political and cultural dynamics of TEL environments. Examples of orchestration as a political, cultural process are provided, illustrating how teachers appropriate technology and ‘innovative’ pedagogies to negotiate power.     

Translating networked learning: un-tying relational ties

Abstract   This article explores the social network of learning beyond a functional understanding of social relations. It describes and interprets the realities of networked learning within a particular postgraduate course in an English university setting. It draws attention to some of the limitations of the increasing interest in the use of social network analysis (SNA) alongside content analysis of recent studies in the field of networked learning. In particular, SNA has been used to analyse response relations among participants in online discussions in terms of, for example, density and centrality. It argues for a different approach to a network of learning, focusing on the relational effects of multiple technical and social arrangements and engagements beyond the response relations the online environment is able to capture and store. This approach emphasizes network processes rather than network structures.     

Triple scheme of learning support design for scientific discovery learning based on computer simulation: experimental research

Abstract Learning support studies involving simulation‐based scientific discovery learning have tended to adopt an ad hoc strategies‐oriented approach in which the support strategies are typically pre‐specified according to learners' difficulties in particular activities. This article proposes a more integrated approach, a triple scheme for learning support design on the basis of the systematic analysis of the internal conditions of scientific discovery learning. The triple learning support scheme involves: (a) interpretative support that helps learners with knowledge access and the generation of meaningful and integrative understandings; (b) experimental support that scaffolds learners in systematic and valid experimental activities; and (c) reflective support that increases learners' self‐awareness of the discovery processes and prompts their reflective abstraction and integration. Two experiments were conducted with eighth graders (13‐year‐olds) to examine the effects of these learning supports embedded into a simulation program on floating and sinking. The overall results support the main hypotheses that learning supports in a simulation environment should be directed towards the three perspectives to invite meaningful, systematic, and reflective discovery learning.     

Improving online learning activity interoperability with Acos server

Modern online learning management systems (LMSs) support a variety of online learning activities, such as animations, exercises, and other interactive learning materials. However, there are many technical challenges in using the same activities in multiple LMSs because content is typically tightly coupled with one protocol to communicate with the LMS and different LMSs use different protocols for launching activities and receiving grades. This leads to low reusability of learning activities and similar content being developed in multiple places. To overcome these issues, we present Acos, a smart learning content server, which emphasizes the reusability of online learning activities by decoupling the content and existing interoperability protocols. It allows integrating the same learning activities into multiple LMSs using different protocols by providing a uniform interface for learning activities. Adapting this architecture allows instructors to choose activities based on pedagogical goals instead of letting technical restrictions of LMSs dictate the content selection process. Copyright © 2017 John Wiley & Sons, Ltd.     

University students' attainment and perceptions of computer delivered assessment; a comparison between computer‐based and traditional tests in a ‘high‐stakes’ examination

This study compared higher education dental undergraduate student performance in online assessments with performance in traditional paper‐based tests and investigated students' perceptions of the fairness and acceptability of online tests, and showed performance to be comparable. The project design involved two parallel cross‐over trials, one in Year 3 (n = 132) of the dental curriculum, one in Year 5 (n = 134). A total of 266 students undertook related tests of the same knowledge base in both online and traditional paper formats. Order of presentation of the test form was randomized. One hundred and thirty‐two students in Year 3 additionally completed questions concerning their perceptions of the acceptability and fairness of the online examination process. Focus group discussions were held with groups of students (n = 30) from both Year 3 and 5 to explore their perceptions of the online format. The online tests were created using the commercial software package MaxExam (Bristol, UK). The results were analysed using repeated measures analysis of variance (ANOVA) with the order of presentation being entered as a variable in the analysis. The results of the study showed that for both Years 3 and 5 students there was a high degree of consistency in performance between the two versions of the tests, although a minority of students performed better in the online version of the test. Over 70% of students rated the online test as acceptable, and 90% felt that the online format did not disadvantage them even in a ‘high‐stakes’ situation. From these results, we conclude that online assessment does not confer any disadvantage to students. Students perceive such assessment to be both fair and acceptable, and to have some advantages over the traditional paper‐based methods of assessment.     

The Xanadu project: training faculty in the use of information and communication technology for university teaching

Abstract Technology‐enhanced learning (TEL) methodologies are becoming an important part of University teaching but faculty members have tended to shy away from using them. So, how can they be enticed to use them effectively? What approaches can be used? The purpose of the Xanadu project was to analyse the problems involved and to propose a model for training, based on experimentation at the University of Turin. Besides providing a model, this article will deal with the follow‐up, particularly regarding the faculty members' initial approach to using information and communication technology (ICT), as well as examine the motives and conditions influencing their choices. In this sense, the project has enabled us to come to a better understanding of the typical misconceptions leading teachers to favour methodological approaches based on the distributive use of ICT (which are considered less demanding to manage), rather than networked collaborative interaction, which actually involve students more. In this regard, Xanadu has shown how teachers' awareness may be developed towards adopting a wide range of TEL approaches through both gradual training (project‐oriented with a basic and an advanced course) and with the help of a graduate assistant capable of following e‐content development and online collaborative activities. The effectiveness of the method may be confirmed by the large number of faculty members continuing to use ICT to support their teaching despite having no specific university TEL projects.     

Vocabulary learning by mobile‐assisted authentic content creation and social meaning‐making: two case studies

In recent years, we have witnessed the concomitant rise of communicative and contextualized approaches as well as the paradigmatic development of the mobile‐assisted language learning (MALL) framework in analysing language learning. The focus of MALL research has gradually shifted from content‐based (delivery of learning content through mobile devices) to design‐oriented (authentic and/or social mobile learning activities) study. In this paper, we present two novel case studies of MALL that emphasize learner‐created content. In learning English prepositions and Chinese idioms, respectively, the primary school students used the mobile devices assigned to them on a one‐to‐one basis to take photos in real‐life contexts so as to construct sentences with the newly acquired prepositions or idioms. Subsequently, the learners were voraciously engaged in classroom or online discussion of their semantic constructions, thereby enhancing their understanding of the proper usage of the prepositions or idioms. This work shows the potential of transforming language learning into an authentic seamless learning experience.     

Mobile guide system using problem‐solving strategy for museum learning: a sequential learning behavioural pattern analysis

Mobile devices have been increasingly utilized in informal learning because of their high degree of portability; mobile guide systems (or electronic guidebooks) have also been adopted in museum learning, including those that combine learning strategies and the general audio–visual guide systems. To gain a deeper understanding of the features and limitations of these guide systems in a museum‐learning context and also to provide new designs that better guide learners in interacting with peers and exhibitions, in‐depth exploration of learners' actual visits and analyses of their behavioural patterns is crucial. This study was based on empirical observation and analysis of the learning behaviours (recorded on video) of 65 elementary‐school students who were placed into three groups: mobile guide with problem‐solving strategy, audio–visual mobile guide and paper‐based learning‐sheet guide. By coding and analysing the video and conducting sequential analysis and frequency analysis of learning‐related discussion content, behavioural interaction patterns were determined by which the features and limitations of the different types of guides were compared. Among the findings, it was discovered that the students in the problem‐solving mobile guide group showed a higher level of two‐way interactions with their peers and the exhibits, as well as more learning‐related discussions. Relevant suggestions for teachers, researchers and guide‐systems developers are also given.     

The effect of SDLR and self‐efficacy in preschool teachers by using WS learning

This study examined whether self‐directed learning readiness (SDLR) moderates the association between Internet self‐efficacy and approaches to learning by web searching (ALWS). A total of 329 valid questionnaires were used for the correlation and path analysis. The results revealed that preschool teachers' SDLR significantly moderated the influence of Internet self‐efficacy and ALWS. Thus, this result suggests that spending more time on SDLR may increase preschool teachers' ALWS, which may enhance their teaching practice via web‐based professional development. Findings from this study may have implications for preschool teachers who aim to improve their teaching practice by targeting web‐searching environment and approaches to learning. The findings suggest that the positive mediation role of SDLR between Internet self‐efficacy and ALWS, especially effective learning, active learning and independent learning of SDLR. Because SDLR has the great influence on the online learning domain, preparing teacher's self‐directed learning ability is important for educational authorities to facilitate teachers' better performance when learning online.     

Epistemic activities and collaborative learning: towards an analytical model for studying knowledge construction in networked learning settings

The aim of this paper is to provide an analytical model for studying knowledge creation among geographically dispersed students in an online postgraduate programme by using the concept of epistemic activity. Rooted in qualitative methodologies, it takes a case study approach which strengthens the grounding of theory on social learning by using triangulation of evidence from online discussions and seven semi‐structured interviews. The analytical model that emerges, distinguishes a set of moves that serve understanding negotiation of meaning and co‐construction of knowledge in online discussion. The findings of the study suggest that knowledge advancement processes can be understood as part of identifying key strategies in the form of online epistemic activities for postgraduate learners in a networked learning context. The paper offers a conceptual account for researching knowledge construction in higher education.     

Peer interaction: the experience of distance students at university level

This study investigates how university students on distance learning courses experience interaction with their peers. Students on two distance learning courses at The Open University (UK) were interviewed, to investigate learners' experience of interaction on these courses. The analysis, using a grounded‐theory approach, reveals disparities between course designers' and students' reasons for integrating computer‐mediated interaction within the courses. It draws attention to the significant affective challenges that online students face when working together, and demonstrates a need to pay attention to their problems with self‐presentation. The study also reinforces the socio‐cultural view that it is important to consider the various contexts in which online learning takes place. Distance students have opportunities to structure their own learning contexts, and this allows them to source face‐to‐face learning interaction and other forms of support as they engage with individuals in their everyday environment.     

Chinese undergraduate students' perceptions of mobile learning: Conceptions,learning profiles,and approaches

Close links between students' conceptions of and approaches to learning were established in the past research. However, only a few quantitative studies investigated this relationship particularly with regard to mobile learning (m‐learning). The correlation between learners' conceptions and approaches to m‐learning was analysed using a partial least squares analysis applied to data obtained from a sample of 971 undergraduate students in China. The results indicated that students' conceptions of m‐learning could be classified into reproductive, transitional, and constructive levels. Students may hold multiple m‐learning applications than a predominant one; hence, examining m‐learning as one monolithic entity may provide limited information. Latent profile analysis identified four learning profiles based on students' preferred m‐learning applications: passive, mixed, surface‐supportive, and high‐engagement.. Moreover, a general trend was observed, whereby students with reproductive and surface‐supportive learning profiles showed a tendency to adopt surface approaches, whereas those expressing constructive and mixed learning profiles were more inclined to adopt deep approaches. Interestingly, students with transitional conceptions and high‐engagement learning profiles tended to take both surface and deep approaches.     

A community of practice approach to the development of non-traditional learners through networked learning

Abstract This paper analyses a sample of online discussions to evaluate the development of adult learners as reflective practitioners within a networked learning community. The context for our study is a blended learning course offering post-experience professional training to non-traditional university students. These students are parents and carers of people with autistic spectrum disorder (ASD). We use Lave and Wenger's 'communities of practice' as a theoretical framework for establishing how students develop a learning community based upon mutual engagement, joint enterprise and shared repertoires. Those three aspects are analysed according to two measures. The first focuses on learner appropriation of the professional discourse, values and goals of the ASD carer through the network. The second relates to changes in the quality of collaborative activity over time. Our analysis demonstrates that students belong to an overarching community of practice, with different subsets who work at sharing and co-constructing common understandings. This shared discourse and common notions of what constitutes good practice help create a safe interaction space for the students. Once group identity is consolidated, more challenging questions emerge and the group are able to define further common values, understandings and goals through processes of resolution.     

Exploring collaborative learning effect in blended learning environments

The use of new technology encouraged exploration of the effectiveness and difference of collaborative learning in blended learning environments. This study investigated the social interactive network of students, level of knowledge building and perception level on usefulness in online and mobile collaborative learning environments in higher education. WeChat, which is a mobile synchronous communication tool, and modular object‐oriented dynamic learning environment (Moodle) were used as mobile and online collaborative learning settings. Seventy‐eight college students majoring in information engineering participated in the experiment. The following findings were revealed by combining methods of social network analysis, content analysis and questionnaire survey: (1) the collaborative social networks generated in this study showed that students had tighter interaction relationships in Moodle than in WeChat; (2) deeper level of knowledge building in collaboration and interaction through Moodle than WeChat was observed; and (3) Moodle got higher perception level than WeChat because of its usefulness for collaboration.     

Effects of community of inquiry,learning presence and mentor presence on K-12 online learning outcomes

This study extends the community of inquiry (CoI) framework and self-regulated learning (SRL) theory through an exploration of the structural relationships among existing CoI variables, learning presence (i.e., self-efficacy and online SRL strategy) and learning outcomes in the context of K-12 online learning. To help understand the influence of K-12 mentoring – which is unique to online learning in the U.S. – mentor presence is also included. Structural equation modelling of 696 online 8th through 12th graders' survey responses and final grades showed that adding learning presence to the CoI framework helped to explain how these learners translated their online-learning perceptions into cognitive and affective learning outcomes. We also found that mentor presence significantly and positively predicted online SRL strategy, one of the two components of learning presence. Lastly, we established a connection between the CoI model and various types of learning outcomes that are indicators of K-12 online learning success – though it should be noted that important differences existed between a model based on final grades and two other outcome models. It is hoped that the processes identified in this study will be useful and relevant to K-12 online-learning institutions and educators seeking to improve their offering via a wide range of approaches.     

Regulative support for collaborative scientific inquiry learning

Abstract This study examined whether online tool support for regulation promotes student learning during collaborative inquiry in a computer simulation‐based learning environment. Sixty‐one students worked in small groups to conduct a scientific inquiry with fluid dynamics. Groups in the experimental condition received a support tool with regulatory guidelines; control groups were given a version of this tool from which these instructions were removed. Results showed facilitative effects for the fully specified support tool on learning outcomes and initial planning. Qualitative data elucidated how regulative guidelines enhanced learning and suggests ways to further improve regulative processes within collaborative inquiry learning settings.     

ADAPTIVE RANKS CLONE AND k‐NEAREST NEIGHBOR LIST–BASED IMMUNE MULTI‐OBJECTIVE OPTIMIZATION

Artificial immune systems (AIS) are computational systems inspired by the principles and processes of the vertebrate immune system. The AIS‐based algorithms typically exploit the immune system's characteristics of learning and adaptability to solve some complicated problems. Although, several AIS‐based algorithms have proposed to solve multi‐objective optimization problems (MOPs), little focus have been placed on the issues that adaptively use the online discovered solutions. Here, we proposed an adaptive selection scheme and an adaptive ranks clone scheme by the online discovered solutions in different ranks. Accordingly, the dynamic information of the online antibody population is efficiently exploited, which is beneficial to the search process. Furthermore, it has been widely approved that one‐off deletion could not obtain excellent diversity in the final population; therefore, a k‐nearest neighbor list (where k is the number of objectives) is established and maintained to eliminate the solutions in the archive population. The k‐nearest neighbors of each antibody are founded and stored in a list memory. Once an antibody with minimal product of k‐nearest neighbors is deleted, the neighborhood relations of the remaining antibodies in the list memory are updated. Finally, the proposed algorithm is tested on 10 well‐known and frequently used multi‐objective problems and two many‐objective problems with 4, 6, and 8 objectives. Compared with five other state‐of‐the‐art multi‐objective algorithms, namely NSGA‐II, SPEA2, IBEA, HYPE, and NNIA, our method achieves comparable results in terms of convergence, diversity metrics, and computational time.     

Threaded ensembles of autoencoders for stream learning

Anomaly detection in streaming data is an important problem in numerous application domains. Most existing model‐based approaches to stream learning are based on decision trees due to their fast construction speed. This paper introduces streaming autoencoder (SA), a fast and novel anomaly detection algorithm based on ensembles of neural networks for evolving data streams. It is a one‐class learner, which only requires data from the positive class for training and is accurate even when anomalous training data are rare. It features an ensemble of threaded autoencoders with continuous learning capacity. Furthermore, the SA uses a 2‐step detection mechanism to ensure that real anomalies are detected with low false‐positive rates. The method is highly efficient because it processes data streams in parallel with multithreads and alternating buffers. Our analysis shows that SA has a linear runtime and requires constant memory space. Empirical comparisons to the state‐of‐the‐art methods on multiple benchmark data sets demonstrate that the proposed method detects anomalies efficiently with fewer false alarms.