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  1. 1. Studies in Continuing Education Vol. 28, No. 2, July 2006, pp. 171Á183 E-learning futures? Speculations for a time yet to come John G. Hedberg* Macquarie University, Australia This paper examines some of the ways in which e-learning has failed to live up to its early promise and suggests how this situation might be remedied. Two of the main challenges for the future of e-learning are explored: the ever shifting nature of the e-landscape, characterized by its rapidly changing technologies, software and marketing mechanisms; the difficulty of helping teachers find ways to exploit the capacities offered by these ‘disruptive technologies’ as they continue to bring about change. It is argued that if our investment in e-learning is to be recouped then what is needed is a paradigm shift to the employment of ‘disruptive pedagogies’. This would involve the use of teaching strategies that exploit the currently underused capacities of technology options in such a way as to enable student engagement, motivation and higher order thinking skills. Assessing the status quo A colleague recently reported the results of a major survey of e-learning activities in five large technological universities in Australia (Alexander, 2005) where over 20,000 students and 800 staff were asked about their experiences of e-learning. The overwhelming impression provided by the respondents was that for most students and teachers e-learning was little more than the provision of information. On average, 53% of the respondents saw e-learning as the provision of information only; over the five institutions this ranged from 26 to 76%. Often this information was perceived as background and organizational for the course, rather than the provision of key ideas directly relevant to the topics of the course. For the remainder of the time e-learning was seen as ‘providing information with unmoderated discussions’ (16%) or ‘information with moderated discussions’ (32%). Even those learning activities that went beyond information provision were considered limited interac- tions, with little thought as to what the discussion was meant to achieve. Zemsky and Massy (2004) also sought to determine why e-learning had not lived up to the hype it has generated. While their paper has been criticized as being too qualitative, their findings, in the light of the Alexander survey, lend case study support for the general conclusion that e-learning innovation has not been the panacea that might have been hoped. Zemsky and Massy provided many examples of *Australian Centre for Educational Studies, Macquarie University, Sydney, NSW 2109, Australia. Email: ISSN 0158-037X (print)/ISSN 1470-126X (online)/06/020171-13 # 2006 Taylor & Francis DOI: 10.1080/01580370600751187
  2. 2. 172 J. G. Hedberg a lack of changed pedagogies, such as the relative lack of use of digital repositories such as MERLOT, the incorrect assumption that e-learning of itself would change how we teach and the assumption that international offerings would require consortia rather than the individual prestige of an individual institution. In review- ing the range of instances, Zemsky and Massy described successful e-learning implementations by suggesting a continuum of innovation employing e-learning technologies. They suggested that a first step into e-learning would entail the teaching staff employing PowerPoint presentation software and the use of e-mail to contact students; a second step would employ course (or learning) management systems, such as WebCT and BlackBoard; the third step would be the development of specific targeted digital interactive objects, such as learning objects;1 the fourth step would entail the total redesign of courses to ensure a more interactive learner- oriented and possibly more cost-effective model. Whether or not this sequence of steps represents the most appropriate implementation of e-learning, Zemsky and Massy have highlighted that we need to extend our thinking beyond the current implementations and that the associated pedagogies have to be rethought more radically. Thus, what is actually happening is at variance with the enthusiasm of numerous authors over the first decade of e-learning who talked about the alternative learning strategies that the technologies afford (see, for example, Salmon, 2004; McConnell, 2006; Bonk & Graham, 2006). Fraser (1999) summarised the e-learning task in sharp contrast to the traditional approaches to resources; he suggested that we need to move beyond the provision of information into something more interactive: The extent to which a student gains the same pedagogical benefit from a printout of your Web resources as from the resources themselves is the extent to which you have done nothing of pedagogical value by using the Web. (Fraser, 1999) The rest of this paper will examine ideas and strategies that confront Fraser’s claim and which might result in a more effective match between e-learning pedagogies, the affordances of the technologies and the motivation of learners as they achieve effective e-learning outcomes. In a recent book Vrasidas and Glass (2005) compiled several views about the task of preparing teachers to use technologies in the classroom, they found it easy to identify a number of significant obstacles to integration (Table 1), but the limited prescriptions for overcoming the obstacles suggest that it is not simply a matter of providing access to technologies. In fact, it requires a careful process of ensuring collaboration between teachers and experts, gaining successful experience in teaching with the technologies and participating in a community that provides continuous support. In many higher education contexts some of these elements are missing. Certainly, many instructors have never used e-learning strategies in their student role nor have they had training in, or previous experience of, teaching with e-learning strategies. The rapidly changing context in which e-learning is occurring makes the challenge for these teachers just that little bit harder.
  3. 3. E-learning futures 173 Table 1. Obstacles to integrating ICT in the classroom (Vrasidas & Glass, 2005, p. 8) The conservative nature of the traditional culture of schooling and classroom instruction. Teachers’ resistance to changing their traditional teaching approaches. Lack of time for teachers to learn how to use and integrate ICT in their teaching. Lack of technology infrastructure. Lack of specific technologies that address the specific needs of teachers and students. Lack of ongoing support. Lack of release time and incentives for teacher innovators. Incompatibility of traditional teaching with the constructivist framework fostered by ICT. Need for teachers to unlearn traditional teaching beliefs and practices. Need to prepare teachers to integrate ICT by integrating ICT in teacher preparation programmes. Need for policy, curriculum and assessment reform. Russell et al. (2005) also provided evidential support for the obstacles to e-learning facing teachers in school contexts. They reiterated that while schools have invested in the technologies, teachers are making little use of the technologies and students have limited access. However, they also point to the coarseness of the design and discussion, suggesting that teacher technology use is multifaceted and that to really address issues of technology use it is important to collect multiple measures and realize that teachers value different technologies in different ways. The question still remains as to how teachers can use e-learning technologies effectively when many of the obstacles are part of the organizational structures in which technology-based teaching is used. So how should we select e-learning technologies to make a major difference in most teaching and learning contexts when most of the instances are not radical shifts in approach? To suggest a possible answer to this question, Clayton Christensen (1997) proposed the idea of disruptive innovations. He claimed that a disruptive innovation or technology is one that eventually takes over the existing dominant technology in the market, despite the fact that the disruptive technology is both radically different from the leading technology and that it often initially performs less successfully than the leading technology according to existing measures of performance, but over time the functionality or the attributes of the new way of doing things replace the older technologies. Here an obvious recent example is the demise of film as the medium for home photography. Over many decades acetate film provided the record of family and other real world experiences. The rise of the educational audiovisual movement was supported by the advent of cheap and accessible methods of capturing views of the world and situating challenges and learning in real-world contexts through the use of the photographic image. Then, in the second half of last century, we had a potentially disruptive technology in the Polaroid film process. Records of the world were now viewable almost immediately and several important uses were found for this technology: passport photographs and identity cards. However, as the recording processes moved from analogue to digital recording mechanisms, suddenly the storage of images in a visually recognizable form was no longer required; they could be deconstructed, manipulated and
  4. 4. 174 J. G. Hedberg retrieved at will. The digital images could also be transmitted with excellent quality anywhere in the world to be reconstructed to the same quality as was sent. Thus digital photographic technologies became disruptive technologies and replaced both the photographic film and the Polaroid recording of our world. To search for the e-learning analogy, it would seem from the evidence so far collected that no such disruptive innovation has replaced traditional pedagogies. While curriculum managers may have initially seen e-learning as a potentially disruptive innovation, it does not seem to have replaced the dominant paradigms. e-Learning has enabled the curriculum of the educational institution to be more efficiently recorded and transmitted to learners in many different contexts. It has enabled every institution to become a potential distance learning provider and it has encouraged many students and teachers to change the meeting times and places that they use on a daily basis. Today students who still meet in formal classes will ask for many aspects of their course to be provided online so that they can access them while managing a complex work and study schedule. Early in the use of e-learning technologies there was student resistance to employing any online elements, but more recently in her survey Alexander (2005) found that students valued: 1. access to information*knowing you could pre-read or catch up; / 2. asking questions*asking ‘dumb’ questions without embarrassment and ‘seeing’ / what other questions people were asking; 3. benchmarking and comparing*comparing your interpretations and products / with others and understanding assessment demands and rubrics; 4. time and place flexibility*being able to juggle work, family and study, reducing / long commuting times and maximizing the time spent on each activity and at what place that time would be spent. Yet for all these conveniences, the cost has been the time required to undertake learning and teaching tasks. Most students still claim that it takes significant time to undertake online studies. (In fact, most good online facilitators also claim it takes more time to provide feedback and support online and to move students into effective online learning techniques.) However, even for this disadvantage there are positive elements. Many students report, for example, that if they are studying in a language that is not their first language the recorded nature of many of the interactions ensures that they are able to keep up and understand with reference to dictionaries and mutually supportive self-help groups. However, the move into e-learning has not been without casualties. In spite of recognizing that there are advantages for teachers and students, several institutions have pulled out of offering courses. The closure of the UK eUniversities Worldwide (UKeU) follows the earlier failure of such schemes in the USA, where the low numbers of enrolled students indicate that this is not always what the majority of students seek for their university education. When reporting on the closure of the UKeU the funding body stated that universities favoured a blended approach ‘involving a mixture of IT, traditional, work-based and distance learning to meet the
  5. 5. E-learning futures 175 diverse needs of students’ (Higher Education Funding Council for England, 2004). This contrasts markedly with the promotion of other providers, such as the University of Phoenix, where some courses are offered online and some face-to- face in a range of disciplines (business, education, health care, counseling, human services, nursing and technology). Their model actually focuses on areas and topics where the resource costs are relatively lower than other professional disciplines and they employ a faculty drawn from other organizations from which the faculty members derive their substantive income. It is contended that the Phoenix model employs the cost-effective options but does not attempt the expensive high quality development options that several other operations have attempted. So what might be considered as disruptive technologies and how might their associated pedagogies overcome some of these identified limitations of e-learning. Here it is important not to equate each technology employed in educational processes as operating in similar functional ways in each of its contexts of use. First, we need to be sensitive to the potential affordances of each technology and not simplistically classify their role as learning with text or image, which is a popular definition of multimedia learning (Mayer, 2005, p. 2). Second, we need to explore the complexity and time demands of the task of integrating a particular strategy or tool into a teaching programme. Third, we need to be aware of the organizational aspects of the institutions that are offering the learning experience. While recognizing that the list is still incomplete, e-learning options need to be explored to increase the impact at all levels of the learning experience, student, teacher and organization. The next sections will examine some tools and techniques options. Tools to support e-learning At present e-learning seems to be an amalgamation of various web technologies that replicate the strategies available in the face-to-face classroom. Metaphors through which these components of e-learning create similar relationships to face-to-face contexts include discussion forums, online assessment and textbooks. However, at the tool level the technology affords much more than the elements available to the individual classroom teacher. For instance, in terms of display and representation of ideas the technology has enabled visual and aural information display within software packages. It has also enabled the learner to create a representation of high quality and with tools that support the transduction of information from one form to another. It is now possible to collect data from the field and represent that data in a graph or animated display that explains the ideas visually and succinctly. In fact, Jonassen (1996) has emphasized the role of technologies in supporting the thinking processes of learners, an approach termed cognitive tools or mindtools. While it is possible to retrieve information in a variety of modalities, more important is the associated process of generativity, enabling the learner to construct their understanding of phenomena. Examples of some of the range of options are presented in Table 2.
  6. 6. 176 J. G. Hedberg Table 2. Some options for technology use Form of use Teacher example Student example Presentational Using PowerPoint to construct and Using PowerPoint to report back, structure a visual presentation showing the findings or outcomes of a discussion. This also enables non-linear presentation if so desired Generative Using an outliner to demonstrate a Building a game using web pages text structure (It allows switching requires the development of under- between plan and execution) standing of a topic then translation into a motivating structure and presentation to others Representational Using Excel to convert numbers Write a script then use iMovie (transduction) and to show relationships or saving to create a narrative documentary. a sequence of charts into the same The script needs to be researched, format to create movement and written, visualised, shot, edited and animation where none existed before annotated, then presented The future success of e-learning also depends on a revolutionary move away from simply replicating traditional (classroom-based) teaching practices. When Pierre Ramus created the first textbooks in the 1500s (Ong, 2005) he recognized as an affordance of the most recent technologies (Guttenberg’s printing press) the ability to collect what was required to be learnt in the one place: the textbook was born. Not only did the invention of the printing press enable books to be created more efficiently, they were also more sharable in that they could be made in quantity to enable diverse locations to share copies more quickly. Many authors have noted that with the World Wide Web we have the possibility of this idea being democratized. It is no longer necessary for the teacher to select from the universe of authorized texts; the student can undertake the same task directly. Indeed, with the advent of the search engine and with its increasing sophistication this task is being made more accessible and customizable. Thus the technologies support the changing views of learning towards constructivist approaches and help increase the move back toward dialogic literacy (Bereiter & Scardamalia, 2005), a move that mimics the Greek dialogue, which was a central method of learning prior to Ramus’ textbooks. This in turn increases the challenge and requires higher order skills of the learner. As Bereiter and Scardamalia (2005) suggested what we need is a ‘dialogic literacy’ where: In every kind of knowledge-based, progressive organization, new knowledge and new directions are forged through dialogue. . . . The dialogue in Knowledge Age organiza- tions is not principally concerned with narrative, exposition, argument, and persuasion (the stand-bys of traditional rhetoric) but with solving problems and developing new ideas. (Bereiter & Scardamalia, 2005)
  7. 7. E-learning futures 177 So what should be part of a more disruptive e-learning? While many tools can be used as part of the representational framing of ideas, if they are to support a pedagogical structure they often need to be mixed with other components. Consider Table 3, which suggests ways that different types of outcomes can be achieved by employing a range of interactive activities using digital resources provided by the teacher or generated by the learner, possibly scaffolded or using other support structures (such as cognitive tools to assist performance), all to accomplish final assessments. When digital elements are involved the final assess- ments may be expanded beyond the reproduction of facts and concepts into a single product to more importantly emphasize the process through which the student attained the final outcome. It is easy to show versions of an essay, it is easy to get a student to comment upon how they changed things and why and, finally, it is easy to get them to assess their own progress towards the goal. Many of these elements are not as easily included in a non-e-learning context, as they depend upon affordances of the technologies and the lessened demands on individual effort to keep the digital record of the journey rather than the paper trail of notes and ideas. Thus the components of e-learning interactions emphasize personal construction, the collection of artefacts representing a constructed learning state and, by comparing artefacts, how the learners’ thoughts were changed or modified, and even the source of the influence on those thoughts. It is possible to document not only the personal construction of understanding but also the social interactions that have contributed to the journey. The importance of the social interactions in the process is emphasized by many writers and practitioners of e-learning (Salmon, 2004). All of these components (Table 3) are provided in the most common tools used to support e-learning, the content management system (CMS), sometimes also called the learning management system (LMS). Zemsky and Massy (2004) suggested that the use of such systems represents the second stage of e-learning innovation. Table 3. Components of e-learning interactions Outcome Interactive activity Digital asset Support Assessment Create Diagram/map Drawing FAQ Self-test/quiz Evaluate Journal Photograph Contextual help Essay/report Synthesize Tutorial Diagram/map Links to checklists Journal Analyse Case study Text Self-checking Prognosis Apply Presentation Simulation Collaboration with others Hypothesis Understand Game Animation Links to further resources Classification Recall Web quest Video clip Plan Experiment Audio clip Visual representation Role playing Musical score Game Troubleshooting Simulation Diagnosis Presentation Composing
  8. 8. 178 J. G. Hedberg Contemporary content management systems allow the teacher to organize resources in a predetermined order that then prescribes a structured learning strategy. This type of structure usually mirrors classroom practice and thus the strategy does not suggest a disruptive innovation. In this instance a closely related alternative strategy might be the role of digital repositories or libraries as alternatives to the CMS. Digital repositories provide users with the opportunity to take control of their choice of resources. They provide ways of representing their ideas, by using these resources, creating new resources and even developing their own learning strategies. Immedi- ately this affords a student-centred learning strategy and supports other modern constructivist approaches to pedagogy. While a constructivist philosophy might be considered very disruptive by some teachers, it certainly shifts the focus of control in deciding learning topics and sequences; a move that would be more suitable to the lifelong learner. The shift to such a pedagogical strategy would also require more emphasis on the higher order learning outcomes in Table 3, such as create, evaluate and synthesize. For digital repositories to be considered a disruptive pedagogical innovation their capabilities and affordances need to be reviewed. They have the potential to support learners in the construction of their own knowledge. They afford the capacity for personalized project management and for the collection of resources from more than one source, requiring comparisons and contrastings to ensure that the information found meets the learning goal. In fact, the workload on the instructor to create resources is diminished, but the assessment may, if not well constructed, grow more difficult. In a series of studies with a digital repository in geography Hedberg and Chang (2005) demonstrated that the approach can improve a range of learner skills. In terms of finding information, the students primarily used the built-in tools and the resource and schema management tool of the G-portal, even though they had been encouraged to seek beyond the repository. There were several IT literacy issues; students did not validate the information that they had retrieved from the web or the repository. This means that the way the resources and information were presented did not raise any issue of veracity or interpretation concerns for the students. Thus, when designing learning activities there is a need to demand more conflicting but reasonable information in the task. There was also evidence that most of the groups were able to employ multimodality in the construction of their learning artefacts. While the digital library can support a more authentic data- or evidence-based approach to learning tasks it is still limited by the students’ IT literacy skills and their ability to construct metacognitive strategies to approach open-ended learning tasks. As Jonassen (2005) succinctly suggested, all learning might effectively be considered problem solving. Certainly when students are tasked with the exploration of the resources by themselves, the understanding of the structure of the information, its modes of representation and methods for assuring the quality and appropriateness are not trivial skills, even for well-developed discipline knowledge specialists. As for the possibility of the digital library being the basis of a disruptive pedagogy, the requirement that the student needs to form their strategies of interaction and the importance of the different forms of information representation all support the need
  9. 9. E-learning futures 179 to go beyond the simple serving up of information offered by current LMSs. In addition, the digital repository and related links to the World Wide Web provide easy access to information in many modalities; it also provides access to simple manipulative tools, which support a cognitive tools approach to the manipulation of concepts. However, the main limitation of their use in education still appears to be a lack of quality in the learning tasks provided; the absence of opportunities for students to explore and construct knowledge, to do this with scaffolding and support and for their tasks to be created in ways that lead to their success. Learning objects as potentially disruptive Other potential successful shifts from sustaining pedagogies to disruptive pedagogies might also exist in terms of learning objects. However, as mentioned previously, the commonly used objects at this time are often linked more closely to topics within a syllabus, making them less useable in different contexts. Interestingly, while learning object repositories have been developed in several countries, their usage is not as common as might be expected. Without exploring the range of reasons, the lack of use appears related to the type of objects being shared. Most are content dependent and contain elements that can only be used to teach a specific topic and ‘fit’ into the context for which it was devised. Learning objects represent the increasing modularization of individual elements that can be retrieved from databases and employed in a number of different learning contexts. Potentially disruptive alternatives to the learning object are the recent initiatives to create learning activity sequences (Dalziel, 2003). The latest work on learning activity management sequences (LAMS) has focused on generic strategies that are questions or discussions or processes that need to be populated with their topics. This simple difference appears to re-establish the teachers’ focus on pedagogy rather than on the topic to be taught and evaluations are suggesting that the learning outcomes are enhanced as a consequence (Gibbs & Philip, 2005). Overall modularization and reusable object creation, then, can provide consider- able support for changes in teaching approaches. To create pedagogical experiences that make a significant impact on either teacher or learner it would seem that potentially disruptive pedagogical options need to be adopted. This would be likely to result in: 1. a shift from content management systems (LMS) to digital repositories; 2. a shift from learning objects (with content embedded) to learning activities that are shareable pedagogical sequences without content; 3. a shift from information delivery to more interaction support, thus enabling the social construction of meaningful knowledge; 4. a shift in focus from assessment of the end product to assessment of the learning journey, through keeping portfolios of en route products that indicate changes in understanding and reflection;
  10. 10. 180 J. G. Hedberg 5. a shift from a focus on facts and principles to a focus on benchmarking of performance against many other examples, either within the class or between similar groups. What do we need to add for disruption The announcement of a merger by BlackBoard and WebCT (BlackBoard, 2005) has started many educators rethinking how educational institutions should approach their e-learning strategies and how they support links between and among students and teachers. It becomes a time in which new options in technology use might include open source software as an alternative to provide a less expensive learning management software environment or the rethinking of course design so that investment in one propriety system does not prohibit a later move or switch to another that offers a better pedagogical match. However, a better consideration might be not to overlay the decision with changes in the technology options, but rather to explore the match between pedagogy, tool and motivation*to examine why the learner might commit more time and energy to / learning. Several authors have suggested that strategies such as games and three- dimensional virtual worlds might provide more disruptive pedagogical strategies (Barab et al., 2005). It is acknowledged that these environments do increase the motivation of the participants. The options for learners to construct their own spaces raises further challenges to perform at higher cognitive levels (Lim et al., 2006). In speaking on the topic of technology and engaged learning, Metros (2003) suggested the additional element of engagement. She argued that for students to become engaged with their learning, e-learning should be redesigned to move them through three processes: transfer of ideas, translation of ideas and transcending ideas. She defined these as involving the following. Transfer. Transfer conventional instructional tools, strategies, communication and delivery to a technology-enhanced learning environment. Translate. Redefine and shift conventional instructional tools, strategies, commu- nication and delivery to the technology-enhanced learning environment. Transcend. Go beyond conventional instructional tools, strategies, communication and delivery to invent new paradigms for teaching and learning. It is with transcending that we have the phenomenon of the educational game in which the experience is deemed sufficiently realistic that the learner can participate and ignore the distractions around them. The suggestion is that we move toward an e-learning strategy that, with the right choice of tools, will support the learner in making choices about authentic problems situated in meaningful contexts and using tools which support cognition and the end result. Current e-learning activity is motivated by transfer and driven by the teacher. As we choose more potentially disruptive pedagogical options it is possible to move towards transcending motivation and create environments in which the learner is
  11. 11. E-learning futures 181 Table 4. Matching pedagogies with motivation (modified from Metros, 2003) Level of engagement Passive interest Dynamic interaction Achieving a flow state Motivation for e-learning Transfer Translate Transcend Applications Online syllabus Web resources Smart tutoring Online lecture notes Web quests Remote instrumentation Presentations Blogs (collecting data remotely through the web) Course web site Learning communities Immersive 3D graphic E-reserves Rich media databases environments (such as Quest Atlantis) Learning objects Dynamic knowledge Multimedia presentations collection management Self-paced tutorials Federated and harvested searches Interactive e-texts Interactive simulations/ applets Learning Computer literacy Collaboration Advanced sensory input/ outcomes output Comprehension Cooperation Redefined teacherÁstudent relationships Convenience and Critical thinking Realistic research solutions accessibility Time management Problem solving Life-long learning Convenient access Teamwork Reflective assignments to information Community building Alternative learning Access to targeted strategies information Information analysis Contextual learning experiencing views of the world that are multimodal and require a range of literacies, not only to understand the different representative descriptions but also to employ tools with which the learner can construct and communicate their ideas with others. Thus, for any e-learning experience to be disruptive and integral to future learning it is necessary to create a learning space that facilitates the movement of the learner from being a passive participant toward an active engaged constructor of their own experience. Thus: . there needs to be a rethinking of learning activities; . an exploration of how interactions are managed and facilitated;
  12. 12. 182 J. G. Hedberg . a choice of the right tool for the pedagogical task. If disruptions of this kind can be absorbed by educators, then I would speculate that the e-learning of the future will realize the promise and potential so many have recognized but so few have translated into improvements in learning. Acknowledgements I am grateful for the comments of my colleagues, Chang Chew Hung, Pamela Coutts, Donna Gibbs, Bill Twyman, and the reviewers on earlier drafts. Note 1. Learning objects are not clearly defined in the literature but a commonly accepted definition was provided by Wiley (2002), who defined a learning object as ‘any digital resource that can be reused to support learning’ (p. 6). Several large projects have sought to create repositories of learning objects that can be shared by fellow teachers. The Le@rning Federation (2005) online curriculum content initiative takes a similar stance, stating that a learning object is a ‘digital resource facilitating learning experiences related to a particular educational purpose. Learning objects are designed based on decisions about learning design and learning outcomes’ (p. 1). References Alexander, S. (2005) E-learning: blended directions, paper presented at the E-Agenda Conference , Singapore, 17Á18 August. Barab, S. A., Thomas, M., Dodge, T., Carteaux, R. & Tuzun, H. (2005) Making learning fun: Quest Atlantis, a game without guns, Educational Technology Research and Development, 53(1), 86Á107. Bereiter, C. & Scardamalia, M. (2005) Technology and literacies: from print literacy to dialogic literacy (Toronto, Canada, Ontario Institute for Studies in Education). Available online at: http:// (accessed 25 July 2005). BlackBoard (2005) BlackBoard and WebCT announce plans to merge . Available online at: (accessed 4 December 2005). Bonk, C. & Graham, C. (Eds) (2006) Handbook of blended learning environments (San Francisco, CA, Pfeiffer). Christensen, C. M. (1997) The innovator’s dilemma (Cambridge, MA, Harvard Business School Press). Christensen, C. M. & Raynor, M. E. (2003) The innovator’s solution (Cambridge, MA, Harvard Business School Press). Dalziel, J. (2003) Implementing learning design: the learning activity management system (LAMS), in: G. Crisp, D. Thiele, I. Scholten, S. Barker & J. Baron (Eds) Interact, integrate, impact: proceedings of the 20th Annual Conference of the Australasian Society for Computers in Learning in Tertiary Education . Available online at: adelaide03/program/conf_prog_index.htm (accessed 8 December 2005). Fraser, A. B. (1999) Colleges should tap the pedagogical potential of the World-Wide Web. Chronicle of Higher Education , 48, B8. Available online at: icle.html (accessed 2 December 2005).
  13. 13. E-learning futures 183 Gibbs, D. & Philip, R. (2005) Engaging with e-learning: trialling a new learning activity management system (LAMS) in Australia, in: P. Kommers & G. Richards (Eds) Proceedings of ED-MEDIA 2005 World Conference on Educational Multimedia, Hypermedia & Telecommu- nications (Norfolk, VA, Association for the Advancement of Computing in Education), 22Á29. Hedberg, J. G. & Chang, C. H. (2005) G-Portal: supporting argumentation and multimodality in student solutions to geographical problems, in: P. Kommers & G. Richards (Eds) Proceedings of ED-MEDIA 2005 World Conference on Educational Multimedia, Hypermedia & Telecommu- nications (Norfolk, VA, Association for the Advancement of Computing in Education), 4242Á4247. Higher Education Funding Council for England (2004, February 27). HEFCE to discuss restructuring of e-Universities venture: background statement . Available online at: www.hefce. (accessed 22 July 2004). Jonassen, D. H. (1996) Computers in the classroom: mindtools for critical thinking (Newark, NJ, Merrill). Jonassen, D. (2005) Let us learn to solve problems, ITFORUM . Available online at: http:// (accessed 8 October 2005). Le@rning Federation (2003, June 15) Metadata application profile: version 1.3 (Australia, Curriculum Corporation and Limited). Available online at: www.thelearning- (accessed 13 January 2006). Lim, C. P., Nonis, D. & Hedberg, J. (2006) Gaming in a 3D multi-user virtual environment (MUVE): engaging students in science lessons, British Journal of Educational Technology , 37(2), 211Á231. Mayer, R. (2005) Introduction to multimedia learning, in: R. Mayer (Ed.) The Cambridge handbook of multimedia learning (Cambridge, UK, Cambridge University Press), 1Á16. McConnell, D. (2006) E-learning groups and communities (Buckingham, UK, SRHE/Open University Press). Metros, S. (2003) E-learning: from electronic-learning to engaged-learning, plenary address presented to the Ninth Sloan-C International Conference , Florida, 14Á16 November. Available online at: (accessed 7 December 2005). Ong, W. J. (2005) Ramus, method, and the decay of dialogue: from the art of discourse to the art of reason (Chicago, IL, University of Chicago Press). Russell, M., Bebell, D. & O’Dwyer, L. M. (2005) Tracking the arc of new teachers technology use, in: C. Vrasidas & G. V. Glass (Eds) Preparing teachers to teach with technology (Greenwich, CT, Information Age Publishing), 45Á63. Salmon, G. (2004) e-Moderating: the key to teaching & learning onlie (2nd edn) (London, Routledge Falmer). Vrasidas, C. & Glass, G. V. (Eds) (2005) Preparing teachers to teach with technology (Greenwich, CT, Information Age Publishing). Wiley, D. A. (2002) Connecting learning objects to instructional design theory: a definition, a metaphor, and a taxonomy, in: D. A. Wiley (Ed.) The instructional use of learning objects (Bloomington, IN, AIT/AECT), 3Á23. Zemsky, R. & Massy, W. F. (2004) Thwarted innovation: what happened to e-learning and why , final report for The Weatherstation Project of The Learning Alliance at the University of Pennsylvania in cooperation with the Thomson Corporation (Philadelphia, PA, The Learning Alliance at the University of Pennsylvania). Available online at: www.irhe.upen- (accessed 5 December 2005).