9,831 research outputs found
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The Collective Building of Knowledge in Collaborative Learning Environments
The intention of this chapter is to investigate how collaborative learning environments (CLEs) can be used to elicit the collective building of knowledge. This work discusses CLEs as lively cognitive systems and looks at some strategies that might contribute to the improvement of significant pedagogical practices. The study is supported by rhizome principles, whose characteristics allow us to understand the process of selecting and connecting what is relevant and meaningful for the collective building of knowledge. A brief theoretical and conceptual approach is presented and major contributions and difficulties about collaborative learning environments are discussed. New questions and future trends about the collective building of knowledge are suggested
Browsing while reading: effects of instructional design and learners' prior knowledge
One of the key reasons that multimedia, and particularly hypertext systems, are gaining in importance is that they inspire hopes of optimizing learners' processes of knowledge construction. The present study is concerned with the respective influence of individual learner variables (i.e. particularly domainâspecific prior knowledge) on the use of different design attributes. Thirtyâsix university students worked through a hierarchically structured twoâpart hypertext about the psychology of memory under two experimental browsing conditions (reduced versus free browsing). Results show that deeperâlevel comprehension (i.e. structural knowledge) was predicted by the interaction of experimental condition and prior knowledge, but that simply retaining facts was not. Participants with low prior knowledge performed better on the comprehension test if they had worked on the version with reduced access. Moreover, the version with reduced access helped to reduce feelings of disorientation. The measure of disorientation also appeared to be closely linked with the individual's computer experience, selfâconcept of computer ability and subjectârelated interest. The main implications for educational practice relate to the design of an adaptive multimedia and hypertext learning system and the successful learning with it
Balancing Speed and Quality in Online Learning to Rank for Information Retrieval
In Online Learning to Rank (OLTR) the aim is to find an optimal ranking model
by interacting with users. When learning from user behavior, systems must
interact with users while simultaneously learning from those interactions.
Unlike other Learning to Rank (LTR) settings, existing research in this field
has been limited to linear models. This is due to the speed-quality tradeoff
that arises when selecting models: complex models are more expressive and can
find the best rankings but need more user interactions to do so, a requirement
that risks frustrating users during training. Conversely, simpler models can be
optimized on fewer interactions and thus provide a better user experience, but
they will converge towards suboptimal rankings. This tradeoff creates a
deadlock, since novel models will not be able to improve either the user
experience or the final convergence point, without sacrificing the other. Our
contribution is twofold. First, we introduce a fast OLTR model called Sim-MGD
that addresses the speed aspect of the speed-quality tradeoff. Sim-MGD ranks
documents based on similarities with reference documents. It converges rapidly
and, hence, gives a better user experience but it does not converge towards the
optimal rankings. Second, we contribute Cascading Multileave Gradient Descent
(C-MGD) for OLTR that directly addresses the speed-quality tradeoff by using a
cascade that enables combinations of the best of two worlds: fast learning and
high quality final convergence. C-MGD can provide the better user experience of
Sim-MGD while maintaining the same convergence as the state-of-the-art MGD
model. This opens the door for future work to design new models for OLTR
without having to deal with the speed-quality tradeoff.Comment: CIKM 2017, Proceedings of the 2017 ACM on Conference on Information
and Knowledge Managemen
Using multimedia concept maps to enhance the learner experience in business law
Students’ learning experience can be affected by difficulties in understanding the interrelationships between concepts and also between topics. Concept maps have been used in many disciplines (Kremer & Gains, 1996) to structure information and express relationships between them. Their holistic approach with multiple pathways through the learning resource can make relationships and linkages between topics and subtopics obvious, and contribute to a meaningful and positive learning experience. This paper outlines the development and formative evaluation of two hypermedia concept maps which led to the development of a series of eleven concept maps to enhance the learning experience of students in a first year undergraduate business law unit.As part of the Stage 1 formative evaluation, two concept maps were developed together with supporting multimedia resources and trialled on the learners. Feedback was also obtained from technical staff. This phase was designed to assess and control the quality of the learning resource as well as the impact it had on the learning experience. The paper closes by discussing how information gained in Stage 1 was used in Stage 2 as a basis to modify the initially trialled maps and to develop the other supporting maps.<br /
Pedagogy First, Technology Second: teaching & learning information literacy online
This paper explores the pedagogical and technical issues, challenges and outcomes of creating an online information literacy course. Currently under development, this course will be offered as a parallel study option to Advanced Information Retrieval Skills (AIRS:IFN001 ) for QUT postgraduate students, a compulsory face-to-face course for all QUT research students. The aim of this project is to optimise studentsâ access to AIRS:IFN001 and meet the Universityâs objectives regarding flexible delivery and online teaching. Still in its developmental stages, AIRS::Online extends beyond the current notion of static online information literacy tutorials by providing a facilitated, student focussed learning environment comprising content and learning experiences enhanced by appropriate multimedia technology and resources which engage students in planned facilitated and/or self-paced learning events. Course assessment is formative and summative, and is comprised of a research log and reflective journal to provide a means for reviewing the content and key process of advanced information searching and retrieval
Addictive links: The motivational value of adaptive link annotation
Adaptive link annotation is a popular adaptive navigation support technology. Empirical studies of adaptive annotation in the educational context have demonstrated that it can help students to acquire knowledge faster, improve learning outcomes, reduce navigational overhead, and encourage non-sequential navigation. In this paper, we present our exploration of a lesser known effect of adaptive annotation, its ability to significantly increase students' motivation to work with non-mandatory educational content. We explored this effect and confirmed its significance in the context of two different adaptive hypermedia systems. The paper presents and discusses the results of our work
The guiding process in discovery hypertext learning environments for the Internet
Hypertext is the dominant method to navigate the Internet, providing user freedom
and control over navigational behaviour. There has been an increase in converting
existing educational material into Internet web pages but weaknesses have been
identified in current WWW learning systems. There is a lack of conceptual support
for learning from hypertext, navigational disorientation and cognitive overload. This
implies the need for an established pedagogical approach to developing the web as a
teaching and learning medium.
Guided Discovery Learning is proposed as an educational pedagogy suitable for
supporting WWW learning. The hypothesis is that a guided discovery environment
will produce greater gains in learning and satisfaction, than a non-adaptive hypertext
environment. A second hypothesis is that combining concept maps with this specific
educational paradigm will provide cognitive support. The third hypothesis is that
student learning styles will not influence learning outcome or user satisfaction. Thus,
providing evidence that the guided discovery learning paradigm can be used for many
types of learning styles.
This was investigated by the building of a guided discovery system and a framework
devised for assessing teaching styles. The system provided varying discovery steps,
guided advice, individualistic system instruction and navigational control. An 84
subject experiment compared a Guided discovery condition, a Map-only condition
and an Unguided condition. Subjects were subdivided according to learning styles,
with measures for learning outcome and user satisfaction. The results indicate that
providing guidance will result in a significant increase in level of learning. Guided
discovery condition subjects, regardless of learning styles, experienced levels of
satisfaction comparable to those in the other conditions. The concept mapping tool
did not appear to affect learning outcome or user satisfaction.
The conclusion was that using a particular approach to guidance would result in a
more supportive environment for learning. This research contributes to the need for a
better understanding of the pedagogic design that should be incorporated into WWW
learning environments, with a recommendation for a guided discovery approach to
alleviate major hypertext and WWW issues for distance learning
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Navigational patterns in interactive multimedia
The central purpose of this thesis is to investigate whether users have distinct preferences for specific navigational patterns in multimedia: that is preferences for moving through multimedia. Subsidiary questions are whether users have preferences for working strategies, (the mental approach to investigating software) whether these preferences are similar for specific groups and whether these preferences are affected by the software's system and navigational design. Four groups were investigated within two ranges: children to adults, and novices to experts. The literature review revealed four different perspectives of investigating navigation: user, designer, pedagogy and human computer interaction and although this research concentrates on the first two perspectives the other two are integral and of equal importance.Two empirical studies elicited the navigational information. The first studied pairs of children undertaking set tasks in multimedia, and demonstrated that although each pair had definite preferences, each group did not utilise the full pattern range discerned from the observations, literature review and multimedia package analysis. The second study was redesigned using individual adults to ascertain the full range of preferred patterns in use. The essential element from the investigations was the wide range of variation between individuals and within groups. There was a gradual progression in their range and speed using these patterns, related to their skills, abilities and experience, and each individual could be placed along a continuum. Topologies of the multimedia packages and diagrams of the fit of the navigation patterns were included. Finally an expert panel was convened to verify the pattern range and their comments supported the new classification.The research outcomes included navigational patterns and working strategies classifications, future techniques for designers, and user methods. These will create more successful and informed multimedia, and forward developments and improvements in the design of high quality user preference software
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Investigation of the use of navigation tools in web-based learning: A data mining approach
Web-based learning is widespread in educational settings. The popularity of Web-based learning is in great measure because of its flexibility. Multiple navigation tools provided some of this flexibility. Different navigation tools offer different functions. Therefore, it is important to understand how the navigation tools are used by learners with different backgrounds, knowledge, and skills. This article presents two empirical studies in which data-mining approaches were used to analyze learners' navigation behavior. The results indicate that prior knowledge and subject content are two potential factors influencing the use of navigation tools. In addition, the lack of appropriate use of navigation tools may adversely influence learning performance. The results have been integrated into a model that can help designers develop Web-based learning programs and other Web-based applications that can be tailored to learners' needs
Online learning for design students
This paper describes the development of a Webâbased learning resource for Design students at De Montfort University, and presents the results of a study to investigate the effectiveness of this system. Some issues regarding further improvements to the online resource are also discussed
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