Mining learning social networks for cooperative learning with appropriate learning partners in a problem-based learning environment

Many studies have identified web-based cooperative learning as an increasingly popular educational paradigm with potential to increase learner satisfaction and interactions. However, peer-to-peer interaction often suffers barriers owing to a failure to explore useful social interaction information in web-based cooperative learning environments. This easily leads to learners being unable to seek appropriate learning partners for facilitating effective cooperative learning. This problem frequently causes poor learning effectiveness in web-based cooperative learning environments. Generally, instructor assigned or learner selected learning peers cannot ensure to compose suitable learning partners for individual learners in cooperative learning environments. A suitable learning partner can help the learner, who is learning in the personal way and encounters the difficulty, to solve problems. Inappropriate learning partners cannot only easily lead to poor learning interaction and achievement, but can also lead to the meaning of cooperative learning being lost. Although many web-based learning systems have already been developed to assist cooperative learning, supporting peer-to-peer interaction in computer-supported cooperative learning (CSCL) is still immature. As a result, this study presents a novel scheme for recommending appropriate learning partners for individual learners utilizing mining of learning interactive social networks in a cooperative problem-based learning (PBL) environment. Results of this study show that the proposed scheme helps encourage learners to interact with learning peers more actively and positively, and facilitates learning performance in a cooperative PBL environment.     

Lifelong learning and second-order learning objects

Current cultural, social, and economic trends challenge traditional concepts of learning and lifelong learning. This paper draws on the twofold nature of learning in a knowledge society and explores options for technological support. The concept of Second‐Order Learning Objects is introduced as a potential means to foster generative learning. Generative learning goes beyond that what is already known and extends or transforms the socially shared knowledge including its artefacts and practices. According to the notion of individual and social learning as a process of reflective action, the role of strategies and media for reflection and inquiry is stressed. This paper outlines the use of schematically represented strategies for learning and reflection and sketches important features of a pursuant modelling approach.     

构建终身学习体系建设学习型社会

终身学习是社会中个人根据社会发展和个人发展的需要,利用现代学习技术和手段,灵活地选择安排学习时机、时间、空间以及进程的学习制度,从终身教育走向终身学习,标志着教育乃至社会领域发生了深刻变革,是人类文明的一大进步。由此,构建终身学习体系,形成全民参与的学习型社会,是一个国家兴旺发达的保证。     

Multimodal learning analytics for game-based learning

A distinctive feature of game-based learning environments is their capacity to create learning experiences that are both effective and engaging. Recent advances in sensor-based technologies such as facial expression analysis and gaze tracking have introduced the opportunity to leverage multimodal data streams for learning analytics. Learning analytics informed by multimodal data captured during students’ interactions with game-based learning environments hold significant promise for developing a deeper understanding of game-based learning, designing game-based learning environments to detect maladaptive behaviors and informing adaptive scaffolding to support individualized learning. This paper introduces a multimodal learning analytics approach that incorporates student gameplay, eye tracking and facial expression data to predict student posttest performance and interest after interacting with a game-based learning environment, Crystal Island . We investigated the degree to which separate and combined modalities (ie, gameplay, facial expressions of emotions and eye gaze) captured from students (n = 65) were predictive of student posttest performance and interest after interacting with Crystal Island . Results indicate that when predicting student posttest performance and interest, models utilizing multimodal data either perform equally well or outperform models utilizing unimodal data. We discuss the synergistic effects of combining modalities for predicting both student interest and posttest performance. The findings suggest that multimodal learning analytics can accurately predict students’ posttest performance and interest during game-based learning and hold significant potential for guiding real-time adaptive scaffolding.     

Improving assessment of learning and for learning

The focus of this article is recent work by the Assessment Reform Group (ARG) on the role of teachers' judgements in the summative use of assessment. A brief overview of the early work of the ARG is followed by discussion of the desirable properties of assessment for summative uses. The work of the ARG's Assessment Systems for the Future project provided evidence and arguments concerning the validity, reliability, impact and cost of tests and of summative assessment by teachers. Whilst there is ample evidence that the teachers' judgements are more valid than, and equally reliable as, tests, there is a danger of unwanted impact on teaching as long as results are used for ‘high stakes’ evaluation of teachers and schools. Implications for policy include an end to the practice of using the results of pupils' summative assessment, however they are derived, as the sole basis for target setting and school accountability.     

Self-directed lifelong learning in hybrid learning configurations

Present-day students are expected to be lifelong learners throughout their working life. Higher education must therefore prepare students to self-direct their learning beyond formal education, in real-life working settings. This can be achieved in so-called hybrid learning configurations in which working and learning are integrated. In such a learning configuration, learning is typically trans-boundary in nature and embedded in ill-structured, authentic tasks. The goal of this study is to develop a set of design guidelines for an intervention that would strengthen students’ capacity for self-directed lifelong learning within a hybrid learning configuration, a one-semester elective course at a university of applied sciences in the Netherlands. The research approach was educational design research. An intervention was designed, implemented and evaluated during two iterations of the course. Evaluation methods included interviews with students and the course facilitator, questionnaires, and students’ logs and reports. We developed five intervention design guidelines that will promote self-directed learning. Our conclusion is that the intervention was usable and effective: at a basic level, the students did develop their capacity for self-directed lifelong learning. Further research is needed to investigate conditions for realizing higher levels of proficiency in self-directed lifelong learning throughout the curriculum and beyond.     

Exploring autonomous learning capacity from a self-regulated learning perspective using learning analytics

Practising self-regulated learning (SRL) has been proposed to develop learning autonomy. However, there is lack of empirical evidence on how SRL strategies affect autonomous learning capacity. This study attempts to bridge that gap by utilizing the learners’ trace data for measuring the learners’ autonomous interactions, and investigates the effects of four SRL strategies on learners’ autonomous choices. The goal is to explain how the employed SRL strategies impact autonomous control (in terms of frequencies of self-enforced decisions, as well as time-spent on decision making). The results from an exploratory study with undergraduate learners (N = 113) shown that goal-setting and time-management have strong positive effects on autonomous control, effort-regulation moderately positively affects learners’ autonomy, while help-seeking has a strong negative effect. These findings provide empirical evidence and contribute to clarifying the role of each one of the SRL strategies in the development of autonomous learning capacity, from a learning analytics perspective. Limitations and potential implications for research and practice are also discussed.     

Linking action learning and inter-organisational learning: the learning journey approach

The article presents and illustrates the learning journey (LJ) – a new management development approach to inter-organisational learning based on observation, reflection and problem-solving. The LJ involves managers from different organisations and applies key concepts of action learning and systemic organisational development. Made up of practitioners from 6 to 8 organisations, the LJ visits each of the organisations to explore management practices, taking into account their particular organisational context and challenges. Following a sequence of (a) becoming aware of the particular organisational context, (b) learning about established management practices and (c) working on a current challenge as ‘comrades in adversity’, the article introduces and illustrates the LJ approach. The article closes with a discussion of the approach's challenges and implications for research on – and development of – inter-organisational learning processes.     

Web-based learning interaction and learning styles

This paper reports a study exploring the learning styles and perceptions of a group of undergraduate and postgraduate learners in a university in the UK in relation to using the web for learning. In particular, we explore the sequential/global learning style dimension (which is concerned with the progress of understanding) in relation to three categories of web‐based interaction: learner‐tutor, learner‐learner, and learner‐information. An Index of Learning Styles is used as the tool to explore this dimension. The findings are presented with regard to the learning preferences of a group of learners towards these three categories of interaction. We conclude with a discussion of these findings in relation to Interactive Learning Systems (ILSs) design.     

Enhancing self-regulated learning by writing learning protocols

Learning protocols are a self-guided way of writing that allows for elaboration and reflection on learning content. In an experimental study (N = 103), we supported protocol writing with prompts to elicit important strategies as postulated by a cyclical model of self-regulated learning. Students received either (a) no prompts, (b) cognitive prompts, (c) metacognitive prompts, (d) mixed prompts without, or (e) including prompts for planning of remedial strategies. Prompting all essential sub-processes of self-regulated learning (group e) fostered students' comprehension best. Thus, with appropriate support, writing can serve as a beneficial medium helping students to self-regulate their understanding of subject matter.     

Teachers' conceptions of student learning and own learning

New learning theory, underpinning the idea of teaching for self-directed learning, provides new conceptions of learning: the self-regulation of learning, the construct-character of knowledge, the social nature of learning and a dynamic model of intelligence. What conceptions teachers hold may be related to their tolerance of uncertainty. We constructed a Learning Inventory and administered this to teachers in Dutch senior secondary education, where an innovation is heading for more independent learning. We found empirical confirmation of the five dimensions underlying teachers' conceptions of learning, both for student learning and for their own learning. Tolerance of uncertainty explained the other four dimensions in conceptions of student learning, but not in teachers' conceptions of their own learning. Teachers generally endorse the process-oriented conceptions, although some differences are noted between teachers' conceptions of student learning and their own learning.     

Action learning guided by Tao for lifelong learning

Information Technology brings about rapid changes in working environment, quickly rendering skills and knowledge gained in formal learning institutions obsolete. Even as they prepare students for their first career, institutions also need to equip students with skills necessary for lifelong learning. The Nanyang Technological University (NTU), Singapore has accordingly structured its curricula into Academic Studies and General Studies where the former focuses on core subjects (broad based knowledge-specific studies), and the latter on general knowledge (multi-disciplines catering to various interests for lifelong benefits). A 12-week course, ‘Introduction to Tao for Effective Action Learning’ which focuses on learning processes was developed and has been taught by the author, for undergraduates at NTU since July 2001. The course materials were derived from the author's Ph.D. thesis ‘The Tao of Action Learning’ (Sam, 2000). This paper explains the nature of the action learning programme at NTU and includes one account from participant students.     

Designing learning experiences for outdoor hybrid learning spaces

With the support of various personal and institutional mobile technologies, numerous physical and virtual spaces can be turned into interesting and motivating hybrid learning settings. By its nature, outdoor mobile learning happens on the move is connected to specific locations and settings inviting learners to study their surroundings, inquire about natural phenomena and solve complex real-life problems. This poses challenges for teachers to design meaningful, contextualized and comprehensive learning experiences. The paper aims to explore what kind of mobile learning scenarios K-12 teachers create and what are the limitations and development perspectives of these scenarios. Content analysis of 25 location-based outdoor learning tracks with 465 questions and tasks was carried out. The results demonstrate that designing and implementing learning activities outside the safe, familiar classroom environment in new hybrid learning spaces is a challenging task for the teachers on many different levels. Taking Bloom’s revised taxonomy, types of contextualization and integrated learning models as frameworks for content analysis of the learning scenarios, the study shows that the teachers do not perceive the potential hybrid spaces and mobile technologies offer in order to design consistent learning experiences that emphasize higher order thinking levels, encompass contextual information and integrate knowledge from multiple disciplinary sources. The paper concludes that there is a need for more teacher training and systemic interventions into current teaching practices that encourage teachers to step outside of their existing teaching paradigms to acknowledge the pedagogical potential of hybrid learning spaces as well as the technological affordances.     

Toilet learning

AitAlice Sterling Honig is Professor of Child Development at Syracuse University and Research Review editor for Day Care and Early Education.Dr. Honig is the author of Playtime Learning Games for Young Children,editor of Risk Factors in Infancy,and coauthor of Infant Caregiving: A Design for Training.     

Cognitive requirements for learning with open-ended learning environments

Open-ended learning environments (OELEs) use the capabilities of technology to provide students with opportunities to engage in authentic problem solving; generate, test, and revise hypotheses; explore and manipulate concepts; and reflect on what they know. By design, such environments require sophisticated levels of cognitive functioning. The purpose of this paper is to critically analyze assumptions underlying learner-centered, technology-based environments in light of how well learners appear to meet the cognitive demands for engaging them. Implications for design include the following considerations: (a) direct learner attention to key variables and visual cues; (b) prompt and guide connections to prior knowledge; and (c) provide explicit scaffolding of metacognition and teaching-learning strategies.     

Vocabulary learning

This article addresses the question of how to account for the growth in vocabulary knowledge that occurs during the elementary school years. Areas examined include the ways that word meanings are communicated, direct teaching of meanings vocabulary instruction as a part of reading instruction, and deriving and learning word meanings from verbal context. Taken singly, neither direct instruction of meanings nor learning word meanings from context seems to account all that well for the growth in vocabulary that is thought to occur.     

From learning to labour to learning for precarity

A demand on national economies in the 1970s was that they should begin to increase their labour market flexibility, which came to mean transferring risks and insecurity onto workers. Education was one way to prepare future workers for this new situation. The present article examines this preparation of learning for precarity some 40 years on. It is based on long-term ethnographic research in the Swedish upper-secondary school sector in particular kinds of educational programmes that have been devised and promoted as a means of integrating ‘lost pupils’ into either academic or vocational studies. The findings show this is not what is developing in practice in these programmes.     

Understanding collaborative learning processes in new learning environments

Trying to understand the complexity of computer-mediated problem-based learning environments is not easy. Sociocultural theory provides a theoretical framework for understanding such environments because it emphasizes the socially situated nature of learning and the critical role of tools in mediating learning. To examine how different aspects of discourse relate to each other, as well as to the tools being used in the collaborative learning process, it is important to understand how collaborative knowledge building unfolds and how these processes are mediated. This requires going beyond coding individual speech acts. The use of Chronologically-Ordered Representations of Discourse and Tool-Related Activity (CORDTRA) diagrams is one way of achieving this understanding. We use this to study contrasting cases of more and less successful groups using the STELLAR learning environment. STELLAR is an integrated online PBL environment for preservice teachers, containing a learning sciences hypermedia, a library of videocases, and online personal and collaborative spaces. Our analyses suggest that an important locus of differences is how students use resources and engage in different kinds of metacognitive talk and knowledge transforming activities, sometimes to the group’s detriment. Frequency analyses provided an easily interpreted snapshot of each group’s activity. The CORDTRA analyses provide a more dynamic view that helps researchers and teachers better understand how collaborative learning unfolds. Such analyses have implications for understanding new learning environments as well as helping identify where interventions might be needed.     

Using learning analytics to explore self-regulated learning in flipped blended learning music teacher education

Blended learning (BL) is a popular e-Learning model in higher education that has the potential to take advantage of learning analytics (LA) to support student learning. This study utilized LA to investigate fourth-year undergraduates' (n = 157) use of self-regulated learning (SRL) within the online components of a previously unexamined BL discipline, Music Teacher Education. SRL behaviors were captured unobtrusively in real time through students' interaction with course materials in Moodle. Categorized by function: (1) activating—online access location, day-of-the-week, time-of-day; (2) sustaining—online frequency; and (3) structuring—online regularity and exam review patterns, all six SRL behaviors were revealed to have weak to moderate significant relationships with academic achievement. Results indicated access day-of-the-week and access frequency as the strongest predictors for student success. Findings regarding access regularity when viewed through results from previous SRL-LA research may suggest the importance of this SRL behavior for successful students within several BL discipline areas. In addition, the role of learning design (eg, flipped instruction) in potentially scaffolding students' choices toward specific SRL behaviors, was revealed as an important context for future researchers' consideration.     

Building learning communities with distance learning intruction

The results presented in this study represent only one of four assigned discussion board activities from only one course. However, these results are not atypical of the amount or nature of student engagement in successive discussion board assignments to these same 23 graduate students. By the final of the four on-line discussions, student engagement did decrease slightly, but still remained well above the assigned requirements. Also, similar patterns of high frequency of student involvement were found in other courses using the same type of on-line discussion board assignments. An additional anecdotal observation was completed by the course instructor; after the first on-line activity had been completed and the students re-convened on campus for class, class members appeared more comfortable and more engaged during in class discussions. In summary, the results of this study indicate that specific types of on-line instruction are capable of developing learning communities among on-line learners and creating a satisfying learning experience.