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Personalised Learning: Developing a Vygotskian
Framework for E-learning
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James Ballard, University of London Computer Centre, UK
Philip Butler, University of London Computer Centre, UK
Abstract: Personalisation has emerged as a central feature of recent educational strategies in the UK and abroad. At the heart of this is a vision to empower learners to take more ownership of their learning and develop autonomy. While the introduction of digital technologies is not enough to effect this change, embedding the affordances of new technologies is expected to offer new routes for creating personalised learning environments. The approach is not unique to education, with consumer techno-logies offering a 'personalised' relationship which is both engaging and dynamic, however the challenge remains for learning providers to capture and transpose this to educational contexts. As learners begin to utilise a range of tools to pursue communicative and collaborative actions, the first part of this paper will use analysis of activity logs to uncover interesting trends for maturing e-learning platforms across over 100 UK learning providers. While personalisation appeals to marketing theories this paper will argue that if learning is to become personalised one must ask what the optimal instruction for any particular learner is? For Vygotsky this is based in the zone of proximal development, a way of under-standing the causal-dynamics of development that allow appropriate pedagogical interventions. The second part of this paper will interpret personalised learning as the organising principle for a sense-making framework for e-learning. In this approach personalised learning provides the context for as-sessing the capabilities of e-learning using Vygotsky’s zone of proximal development as the framework for assessing learner potential and development.
Keywords: Personalisation, Personalised Learning, Zone of Proximal Development, e-Learning, Vir-tual Learning Environment, Individual Learning Plan, e-Assessment, e-Portfolio
Introduction
F
ROM 2004, PERSONALISATION became the national agenda for transformingdelivery of public services (Leadbeater, 2004a) with personalised learning emerging as ‘THE big idea in education today’ (NCSL, 2005, p.11) and made possible through communication technology (DfES, 2005). The focus on personal choice within this agenda is often contradictory to personalised learning, which in essence must seek to discover and deliver the optimal instruction for a particular learner. Chaiklin (2003) recognises the profound difficulties this presents, encompassing: the political goals of instruction; resources available; an understanding of how intellectual capabilities develop; and a theory on the re-lationship between subject instruction and psychological development.
This article seeks to develop a framework for e-learning that can be used to make sense of how technology may support the delivery of personalised learning. First, the political goals of instruction shall be outlined through the government strategy and supporting reports. The debate will be placed within the context of sociocultural discourse to highlight contra-dictions and difficulties for practice arguing that the strategy presents an inconsistent view
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of choice and lacks theories to support a pedagogy. The second part of the essay will present Vygotsky’s zone of proximal development (ZPD) and doctrine of concept formation in re-sponse to this, introducing three assessment models to complement traditional summative assessment. The final part will explore the implications for e-learning through a sense-making framework that also draws on theories of complexity, knowledge production, and marketing.
The Personalisation Agenda
The Five Year Strategy for Children and Learners sets out the vision for an education system whose central characteristic will be personalisation: a system which fits to the individual and not the individual to the system (DfES, 2004a). Every learner will achieve their potential in line with the Every Child Matters framework: be healthy, stay safe, enjoy and achieve, make a positive contribution and achieve economic well-being (DfES, 2004b). The trans-formation to personalise learning is not technology driven, however the strategy acknowledges that ambitious and innovative use of technology will be central to its implementation. The subsequent Harnessing Technology strategy elaborates the role of ICT through four objectives: transform teaching and learning; engage hard to reach learners; build an open and accessible system; and develop efficiencies and effectiveness (DfES, 2005).
E-learning will engage learners through the provision of authentic and challenging tasks, and engage teachers through innovative curricula and assessment practice, while e-delivery will improve how we provide information and deliver real-time tracking to inform personal-ised feedback (DfES, 2005). High investment (HEFCE, 2008; Becta, 2010a & 2010b) should see learning providers ‘enabled’ to use technology through infrastructure and system integ-ration, while ‘confident’ learning providers will be facilitating learners to develop their online personal learning space (Becta, 2008). The transformation comes to represent a moral purpose for social justice where lack of engagement and the failure to equip learners with necessary skills will result in unacceptable attainment gaps (DfES, 2006).
The pedagogy of personalisation should address how students learn, what students learn, and how we assess what their learning needs are (DfES, 2007). This promotes a solution based on choice: more ways to learn; more subjects to choose from; and more flexible study integrated through an online personal learning space (DfES, 2005), which offers more variety of resources, software, communication tools, and assessment (DfES, 2007) that learners can access anytime, anywhere (Becta, 2008). 21st century skills for a knowledge economy will require students to progress from dependence on teachers and adults into independent learners capable of adapting to the changing needs of society (DfES, 2007). Finally, established sessment of learning’ practice through standardised tests should be complemented with ‘as-sessment for learning’ practices that allow learners to monitor and manage their own progress and encourage a lifelong appetite for learning (DfES, 2007).
Contradictions and Difficulties
Poster (1995a) heralds the Internet as part of a second media age where passive consumers become interactive communicators, upsetting the logic of understanding of the first media age. In the second media age interactivity dominates and rather than obtaining information electronically, communicating by computer claims the intense interest of countless thousands.
Green, Facer, Rudd, Dillon & Humphreys (2005) suggest that without these communication and multimedia affordances of technology, it is unlikely that personalised learning spaces can be enabled. This intertwining of personalised learning and internet technology is adopted throughout the strategy with learners perceived as less passive and deferential and where new curricula and technology enhance collaboration and creative learning (DfES 2006). The first difficulty is that in adopting postmodern paradigms of multiplicity, plurality, and decent-ralisation, personalised learning must clash with and may be limited by existing perspectives of modernity.
The second difficulty is that Poster’s (1995b) Internet resists the basic conditions for asking the question of the effects of technology. In reconfiguring the relation of technology to culture it is suggested that the only way to define the technological effects of the Internet is to build the Internet. Between the ‘Computopia’ of Yonegi Masuda (1985) –where growth in technology leads to an improved life for all– and Jean-Francois Lyotard’s (1984) ‘Big Brother Society’ –where the norms and values of people are produced and reproduced, contained, controlled and dominated by elusive forces– lie sociocultural assessments of the impact of technology. Through examining the interactions between agent and cultural tools, as mediated action, one can avoid the risk of destroying the phenomenon under observation that may arise from a reductionist approach (Werstch, 1998; Jaros & Deakin-Crick, 2007). Personalised learning simultaneously serves the multiple goals of government, learners, teachers, leaders, and technological innovation which cannot exist as independent elements of analysis and may often be in conflict. One cannot therefore organise analysis around a single identifiable goal and the emphasis is not whether personalised learning is an oppor-tunity or a threat, but rather how and to what extent can we analyse the transformations taking place, and make out the powers that control them (Holub, 1992).
The strategy drives personalisation through two choice agendas: one is a learner’s choice for learning opportunities (experience) and the other a family’s choice of a particular school (social institution) (Harris and Ranson, 2005). This marketisation of education places indi-vidual demands over social needs (Hartley, 2008), and promotes values -such as self-motiv-ation, self-regulself-motiv-ation, and educational progress, that are not equally distributed among dif-ferent classes and cultures in English society (Campbell, Robinson, Neelands, Hewston, & Mazzoli, 2007). Leadbeater (2006) warns that applying market consumerism to education may compromise principles of equity, reinforcing existing power hierarchies through the likelihood of continued, if not increased, educational disadvantage.
Katz and Assor (2006) find the benefits of choice to be equivocal and confusing and through self-determination theory argue that the mode and structure of choice should allow learner preference realisation, present an optimal challenge, and account for multicultural experience. This may sit uneasily with a national curriculum and testing programme dominated by age-relatedness (Campbell et al., 2007). Alternatively, Green et al. (2005) view personal-ised learning as a system that adapts to the needs of learners, representing the consumers of Pine, Peppers and Rogers (1995) who instead of choice, want exactly what they want - when, where and how they want it. This involves learning about goals and preferences and evolving an offering mapped to these. However, as disadvantaged learners are least likely to seek help (Ryan, Pintrich & Midgley, 2001) poorly structured choice or loss of preference data may actively reduce the scope for the collective action most likely to address structural predica-ments of class and educational opportunity (Campbell et al., 2007).
The first implication for the e-learning framework is that data integration and user interac-tion with choice must be accessible, where presenting superficial choice risks being negatively perceived and should be avoided. The framework should seek to optimise needs-satisfaction rather than offer choice for its own sake.
A Pedagogy for Personalised Learning
The political inconsistencies provide a point of departure, where this essay will attempt to redress the lack of pedagogy (Hartley, 2009) through Vygotky’s theory of learning and de-velopment. The implications for technology will then be explored to create a sense-making framework that may redress the inherent conceptual elasticity of the strategy (Hartley, 2007). It is hoped a sociocultural approach to educational theory and technology frameworks will afford teachers and learners the pursuit of goals consistent with optimal personalised learning. This is discussed in relation to the three centres of personalised learning: learner-centred, knowledge-centred and assessment-centred (DfES, 2006).
Learner-centred: How Children and Young People Learn
Vygotsky (1978) views the essence of cognitive education as providing students with new psychological tools. The development of higher-order thinking is based on mediating agents in the learner’s interaction with the environment, supplanting previous models which portray the learner as a passive recipient of pre-packaged knowledge (Kozulin, 2003). Vygotsky (1978) is explicit that the development of higher-order thinking is dependent on appropriate interactions, which can be identified through the Zone of Proximal Development (ZPD). The ZPD conceptualises learning potential through collaboration with more capable peers where taught subjects relate differently to development and teaching should be aimed at future (ripening) rather than past (ripe) functions (Vygotksy, 1978 & 1986). For a Vygotskian personalised learning pedagogy ‘the only good kind of instruction is that which marches ahead of development and leads it’ (Vygotsky, 1986, p.188).
The difficulty is that Vygotsky’s account does not allow the level of potential development, and hence the ZPD in general, to be defined in any precise way. To resolve this Wertsch (1984) introduces three theoretical constructs: situation definition, intersubjectivity, and se-miotic mediation. The situation definition describes the way in which objects are represented and the actions operated on those objects. During collaborative action the ZPD is defined through differences between the situation definition of the learner and the more capable other. Rather than quantitative increments to the situation definition, developmental growth requires the learner to replace the existing situation definition with a qualitatively new one. Importantly the ZPD is never located solely within the learner, shifting the focus of instruction from transmission of competence or knowledge to understanding the meaning of assistance in relation to an individual’s learning and development (Chaiklin, 2003). For this to be ef-fective requires the learner as active participant and assistance or instruction to be personalised to the individual’s ZPD through intersubjectivity. This is Vygotsky’s (1978) most essential feature of instructed learning: to awaken a variety of internal processes that only operate during social interaction, creating a ZPD the processes of which, once internalised will become part of the learner’s independent developmental achievement.
A second essential feature is the highly complex dynamic relations between development and learning with development never following instructed learning in a fashion that can formulated. An ideal approach would reveal ‘how developmental processes stimulated by the course of school learning are carried through inside the head of each individual child’ (ibid. p.91, [emphasis added]). An approach to this can be found in Vygotsky’s (1986) study of concept formation. Concept formation, in which all the basic intellectual processes take part, must be viewed as a function of the learner’s total social and cultural growth affecting not only the content but also the method of thinking. Vygotsky identifies three basic phases in the ascent to concept formation. In the first phase a learner forms syncretic images or un-organised congeries characterised by a tendency to merge diverse elements into an articulated image based on some chance impression. During the second complex thinking phase the learner begins to organise objects based on actually existing bonds rather than subjective impressions. In the final phase genuine concept formation occurs when mastery of abstraction is combined with advanced complex thinking (see table 1). The transition from complexes to concepts is not a mechanical process and even as true concepts are formed a student has learned to produce concepts, they do not wholly abandon the more elementary forms (Vy-gotsky, 1986). This should inform an understanding of the nature of assistance required with the teacher and learner working together to bring the learner from their initial level to the most independent activity they can achieve (Campione, Brown, Ferrara & Bryant, 1984).
Table 1: Phases and Stages of Concept Formation (adapted from Vygotsky, 1986) Stage
Phase
Trial and error 1.1
Syncretic image formation or unorgan-ised congeries 1 Perceptual organisation 1.2 Complex base 1.3 Associative 2.1 Complex formation 2 Collections 2.2 Chain 2.3 Diffuse 2.4 Pseudoconcept 2.5 Abstraction 3.1 Concept Formation 3 Potential concepts 3.2 True concepts 3.3
Tharp and Gallimore (1991) approach this through instructional conversation, a model for teaching where the activity setting is optimised for learners to achieve independent mastery through dialogue. As the learning process is alive and unfolding teachers can assist as they see and feel the learner’s progression (or lack of) through the ZPD. Often scaffolding (Chi, 1996) – a concept evolved from mediated learning (Kozulin, 2003) – is used to provide a metascript (Tharp & Gallimore, 1988) for collaborative dialogue. This offers a
non-prescript-ive structure for learners to express their voice (situated definition), while prompting or guiding higher level discussions where Rourke and Coleman (2010) highlight how this can be used to enhance online learning. Laurillard’s (2002) conversational framework provides a further example of how feedback can establish the relevant stage of concept formation for a learner (in particular pp.55-60).
The second implication for the e-learning framework is that it must facilitate communic-ation and collaborcommunic-ation, not for their own sake but in the context of learning dialogues. It is not the interaction, per se, that influences instructional interventions but understanding of the meaning of that assistance or interaction through the ZPD. Karpov (2003) emphasises this as the importance of maintaining a distinction between Piagetian guided discovery and Vygostkian instructional conversation.
Knowledge-centred: What Students (Need to) Learn
Vygotsky (1986) differs his work on one crucial aspect from Piaget in that for him instruction and development cannot be separated. In exploring both structure and function Vygotsky works with the assumption that what one intends to learn must determine to an extent how one learns it, thus allowing the problem of development and instruction to be resolved. Sci-entific concepts as a product of instruction are conscious and deliberate by nature, whereas spontaneous concepts as the product of experience are situational, empirical, and practical. The two concepts are closely connected and develop in reverse directions with spontaneous concepts working upwards to clear the way for scientific concepts, as scientific concepts work downwards to supply structure for spontaneous concepts. The two systems ‘reveal their real nature in the interrelations between actual development and the zone of proximal development’ (.ibid. pg. 194). Karpov (2003) suggests that for Vygotksy and his followers the question of ‘how to teach’ is secondary to the question of ‘what knowledge learners should acquire’.
The personalised learning strategy introduces a distinction between subject skills and the ‘soft skills’ required by the workplace: communication, teamwork, independent working, problem-solving, creativity, perseverance, and managing personal development (DfES, 2005 & 2006). One may analogise this with Gibbons et al.’s (1994) disciplinary (mode 1) and trans-disciplinary (mode 2) knowledge, which Jackson and Ward (2004) extend into the idea that learning underlies production and use of both modes of knowledge in a world in which ‘knowing what and how to learn the next thing is as important as what has already been learnt’ (p.424). In this world learning should contain directed, self-directed and collaborative activity. In the Vygotkskian approach collaboration already contains directed and self-directed processes through scientific concepts and spontaneous concepts. For Vygotsky (1978 & 1986) each subject has its own relation to development where disciplinary learning through scientific concepts gradually transforms the structure of spontaneous concepts, aiding the ascent into higher trans-disciplinary thinking. Instruction should result in the mastery of meaningful and broadly transferable scientific knowledge to be used for the analysis of subject-domain phenomenon (Karpov, 2003).
Hattie, Biggs and Purdie (1996), in their meta-analysis, provide support for this through findings that situated cognition - where learners are made aware of the importance of using appropriate strategies relevant to the context of the subject domain - is most successful in metacogntivie development. Equally, Jaros and Deakin-Crick (2007) present an object-based,
archaeological method of inquiry that connects the subjective, authentic, personal interests of learners with the world as modelled by schools and universities (Jaros, 2009). Although it is suggested this bottom-up approach opposes the top-down positivistic canon, these ex-amples may be explained through Vygotsky’s reverse motion of spontaneous and scientific concepts.
The third implication for the framework is that for Vygotsky an independent learner is the result of school learning rather than a premise for it (Kozulin, 1995). This must allow appropriate expression of spontaneous and scientific concepts with both seen as aspects of the same developmental process (Vygotsky, 1986).
Assessment-centred: Learners’ Achievement and their Learning Needs Vygotsky (1978) is critical of assessment practice which targets already matured functions as being ineffective to overall development. In this argument what the learner already knows and is capable of demonstrating during independent activity (e.g. examination) gives no in-dication of the appropriate interventions to progress that learner to the next developmental level. Vygotsky contributes a model of assisted assessment through the ZPD to reveal the maturing functions of the next development period. These functions are not created by the interaction; rather interaction provides conditions for identifying their existence and the extent to which they have been developed (Chaiklin, 2003). Vygotsky (1986) finds such assessment can identify the emerging functions within a learner that are most receptive to instruction and should be the focus of learning. Learning leads to development as the external interper-sonal operations enabled through collaboration are internalised as intraperinterper-sonal process (Vygotsky, 1978). Development thus proceeds as a spiral passing through the same point while advancing to higher levels. Allal and Pelgrims Ducrey (2000) identify two strands of assessment related to the ZPD: dynamic assessment and formative assessment, while Habib and Witteck (2007) highlight the role portfolio assessment might play in assessing metacog-nitive development. As Black (1998) argues the ‘assessment for learning’ functions should be considered on the same spectrum, along with summative assessment rather than in isolation.
Dynamic Assessment (Integrating Teaching within Assessment)
Vytgotsky (1978) criticises standardised testing for its orientation towards completed devel-opmental stages. Such testing approaches inappropriately equalise neutral and cultural pro-cesses (Gindis, 2003). Dynamic assessment offers an alternative approach providing diagnosis of learning difficulties and prediction of learning potential and represents assessment of the ZPD (Allal and Pelgrims Ducrey, 2000). Feuerstein (1979) and Lidz (1987) provide extensive coverage of dynamic assessment; Lidz (1992) finds that mediation during assessment is as-sociated with improved performance and, like Vygotsky, that static levels performance scores do not indicate how much an individual can change. Similarly Carlson and Wiedl (1992) argue that performance at any given time is only an approximation of an individual’s capacity and interpret this through the Hebb-Vernon framework of Intelligences A, B, and C. Intelli-gence A represents an individual’s biological potential, IntelliIntelli-gence B an individual’s actual intelligence, and Intelligence C their performance on mental ability measures. Dynamic as-sessment aims to optimise asas-sessment (Allal & Pelgrims Ducrey, 2000) so that the objects of assessment (Intelligence C) better represent the individual’s potential (Intelligence B).
Such testing approaches can only be defined for specific groups of individuals and applied effectively may address poor performance resulting from social or cultural deprivation (Gindis, 2003). This sociocultural approach to assessment may help redress increasing attain-ment gaps across socioeconomic groups (DfES, 2006).
Formative Assessment (Integrating Assessment within Teaching)
For Vygotsky (1978) cultural development appears twice in a learner: first between people (interpsychological); and second inside the learner (intrapsychological). When a learner, during interaction, represents objects and events with a different situation definition from the teacher it would seem to be counterproductive for the teacher to simply reintroduce their own situation definition (Wertsch, 1984). Formative assessment occurs within the ZPD during collaboration and is thus concerned with a learner’s responsiveness to instruction (Allal and Pelgrims Ducrey, 2000). Black and Wiliam (1998) find that effective formative feedback is shown to increase learning gains, although innovations will depend on the quality of dialogue. Learning can be improved while it is happening with students able to plan their learning, identify strengths and weaknesses, target areas for remedial action, and develop transferable skills (Topping, 1998) with the contribution of instruction to learner development assessed through performance in subsequent tasks. .
Portfolio Assessment (Integrating Assessment within Learning)
For Vygotsky (1986) the greatest difficulty for instruction is that once a concept is finally grasped and formulated on the abstract level the application of it to new concrete situations remains problematic. Wertsch (1998) explains this through elaboration of Vygotsky’s inter-nalisation as mastery and appropriation, which need not be directly correlated. A learner may master a concept without utilising it in other contexts, however if appropriated the learner, having identified with the value of the concept, will be motivated to utilise it in new situations. In this approach the student portfolio, as a narrative, operates as an authentic cultural tool with authenticity maintained through encouraging the learner to contribute their ideas to the discussion rather than present correct answers (Nystrand, 1997). The portfolio represents an example of Säljö’s (1999) mediational means - a cultural artefact that must be understood as simultaneously physical (product) and intellectual (process) in nature. Using Wartofsky’s (1979) taxonomy primary artefacts are identified as the tools used (e.g. collated objects and e-portfolio software); and secondary artefacts are representations of these, either through learner narrative (translation) or teacher-led programs of action or scaffolding (in-scription). Habib and Witteck (2007) propose that while heavy inscription may be perceived as such and resisted, greater translation will accord with learner goals, backgrounds, and values. Tertiary artefacts, or the use of concepts in new contexts, result almost exclusively from translation where learners demonstrate varied levels of mastery but are likely to demonstrate high levels of appropriation. As the learner is furnished with the secondary and tertiary artefacts necessary for the qualitative transformation of their activity systems, the portfolio should come to represent Engeström’s (1987) journey through zones of proximal development capturing the continual redefinition of developing concepts and providing au-thentic opportunities to apply developed concepts to new situations.
The final implication for the framework draws on the importance of the capable peer as an assessment parameter in Vygotsky’s theory. The assessment methods presented here are complementary and the framework should seek to integrate them effectively with awareness provided for understanding and managing the effects of inscription and translation in system design.
A Framework for e-Learning
The framework introduces three guiding principles for the processes of e-learning (see table 2): (1) focus highlights the type if discourse and is based on Stacey’s (2002) complexity matrix (see figure 1) overlaid by knowledge production theory (Jackson & Ward, 2004); (2) ownership outlines affordances for inscription and/or translation using Gilmore and Pine’s (1997) customisation matrix (see figure 2) - where teacher ownership is high dialogue is likely to offer more scaffolding and where learner ownership expression should be encouraged to improve authenticity; and (3) the type of assessment as a pedagogical boundary.
Table 2: Personalised Learning Framework
Assessment Ownership (customisation)
Focus (decision making) Tool Dynamic Transparent Rational VLE 1 Formative Adaptive Judgemental ILP 2 Summative Cosmetic Political e-Assessment 3 Portfolio Collaborative Complex e-Portfolio 4
The VLE (JISC, 2009), implemented in 98% of FE colleges (Becta, 2010a) and 93% of schools (Becta, 2010b), supports instructional delivery focusing on disciplinary knowledge
and can be described as rational where progress is monitored against well defined learning outcomes. Dynamic assessment should identify learning needs with transparent customisation allowing the teacher to differentiate activities to address these needs and account for different learning styles.
The Individual Learning Plan (ILP) was introduced as a formative assessment tool (Hamilton, 2009) providing scaffolding to heighten learner awareness (Bullock & Jamieson, 1998) and essential recording of discussions for continuity and structure through subsequent activities (Bullock & Jamieson, 1995). The dialogic structure is judgemental creating a shared vision for future development which is not predetermined and can only be judged in relation to that vision. Customisation is adaptive where learners use standard tools of development planning (target setting, progress review, etc.) to create a unique learning path.
e-Assessment (JISC, 2007b) responds to summative assessment requirements for measuring
objective progress against standardised external criteria. This process is political with out-comes derived from established frameworks that require negotiation to ensure these are shared by the learner. The customisation is cosmetic where the same product (assessment) may be presented in different ways but is not fundamentally altered.
The e-Portfolio offers a collection of objects presented through narrative and representing a product and process of learning (JISC 2008 & Barrett 2010). As a collaborative space this allows learners to participate in the design stage exploring ideas and concepts that involve complex processes representative of creativity, reflection, and new modes of operating. The portfolio assessment framework is particularly useful for transdisciplinary projects (Ridgway, McCusker, & Pead, 2004) such as enquiry based learning (see Jaros & Deakin-Crick, 2007; Hutchings, 2007).
Informing Transformation
Young people are positive about technology and expect to use it to support their learning, however they are very quick to understand when it is a genuine and integrated learning aid rather than technology for technology’s sake (JISC, 2007a; NUS 2010). Teachers are also increasingly positive about the role of technology and its potential to personalise learning, actively voicing requirements for training to enhance their use of new and existing technolo-gies (Becta 2010a & 2010b). While it is easier to implement reforms that merely increase system efficiency, e-learning as mediational means (Wertsch, 1998) may free learning from earlier limitations and transform the role relationships between teacher and learner envisaged by deep personalisation (Campbell et al., 2007). McLuhan (1967) proposes that electronic technologies will reshape education shifting the focus from instruction to discovery, echoed in Sfard’s (1998) metaphors of learning: the acquisition metaphor and the participation metaphor. For Papert and Harel (1991) this forms part of wider philosophical discourses on the nature of knowledge (method) and the nature of knowing (epistemology) - not only do people want the right to think what they please, they want to think in their own ways. Transformation must resist a commodification of knowledge that attributes knowledge with a permanent quality reinforcing the privileged power position of its owner in favour of an epistemological pluralism in which technology mediates a reconsideration of the kinds of knowledge that are valued in education.
If the government strategy resembles Hawkridge’s (1990) social rationale, the pedagogic rationale may find voice through communicative action, and the catalytic rationale in
disrupt-ive innovation. Communicatdisrupt-ive action in this context builds on Gramsci’s premise that im-pulses for change do not arise from privilege but from underprivilege (Holub, 1992). For Gramsci, intellectuals (teachers) interpret the voice of the underprivileged (learners) and provide direction - as attainment gaps increase, so the learner voice may increasingly become a platform for transformation with learners commanding communicative actions to pursue projects commensurate with egalitarian principles. This may be particularly effective for raising achievement when contextualised within local communities (Lupton, 2004). An al-ternative and complementary model of change is ‘Disruptive Innovation’ (Bower & Christensen, 1995). Christensen and Horn (2009a & 2009b) describes online learning as a disruptive technology that may hold the potential to transform the current monolithic education system to one based on individual student needs. While social change is often the by-product of a disruptive innovation, catalytic innovations with social change as a primary objective may also be pursued (Christensen, Baumann, Ruggles & Sadtler, 2006).
Conclusion
The framework does not proscribe particular infrastructure or systems and should complement those that already do. Instead by positioning technology as a cultural tool the framework hopes to address pedagogical inconsistencies of the national strategy as well as informing the role technology might play in transformation. The framework is intended to be used to inform the implementation, evaluation, and development of learning technologies and should be adapted and reappraised as this evolves. Empirical studies may adopt the framework to establish what does, or more importantly does not fit, within the model as well as perceived usefulness across sectors with examples of effective assessment approaches reinforcing or refining the model.
Despite the inherent contradictions of the national strategy this essay argues that person-alised learning may yet provide a valid organising approach for e-learning. While e-learning will remain complicated, fast-moving, important and something we cannot ‘solve’ (Conole and Oliver, 2007), an important implication of mediated action is that the cultural tools provide the context and standard for assessing the skills of the user (Werstch, 1998). Person-alised learning may provide the context for evaluating the capabilities of e-learning systems, supported by Vygotsky’s ZPD as the framework for assessing learner potential and develop-ment.
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About the Authors
James Ballard
James began working in e-learning at Barking College as part of the DfES ICT Test Bed Project, producing reports assessing the impact of ICT in the classroom during the early adoption phase of e-learning. He moved to University of London Computer Centre in 2007 where he has managed successful e-learning implementation projects with over 100 learning providers and collaborated on the development of the personalised learning framework ad-opted by many UK proivders. James has expertise of a vast experience of system integration models and interoperability standards, and has worked on technology supported models for early identification of at-risk learners, engagement tracking, and end-to-end assessment. James frequently consults with colleagues nationwide, regularly presents at national and re-gional conferences, and is currently studying at King’s College researching relationships between technology, pedagogy and learning. Recent external work include projects within JISC funded progammes for Transforming Curriculum Delivery Through Technology; JISC CETIS Portfolio Interoperability Protoyping; and Becta’s E-portfolios for apprentices pub-lication.
Philip Butler
Philip Butler has worked in the post-16 education sector as a teacher, manager and adviser for 30 years. During his teaching career he developed a strong interest in Technology En-hanced Learning and was appointed an adviser for the JISC Regional Support Centre for London, becoming one of its founding members. He has provided colleges and HEIs a strong lead in strategic thinking around e-Learning and organisational responses to transformation, helping establish a strong reputation for London as a centre of high quality innovation and practice. Philip was appointed as Senior e-Learning Adviser for the University of London Computer Centre where he has assisted in developing it as the largest provider of e-Learning services to the UK education sector, along with the reputation of a centre for excellence. His most recent work has been in helping to design and develop the Personalisation of Learning framework which has quickly established itself as the most important source technical devel-opment in recent years. Philip has worked as a consultant on several national projects for JISC, NIACE, BECTA, NLN, and the DTi and has presented to conferences and meetings on a range of subjects to do with effective use of e-Learning in the UK, USA and India.
Editors
Bill Cope, University of Illinois, Urbana-Champaign, USA. Mary Kalantzis, University of Illinois, Urbana-Champaign, USA.
Editorial Advisory Board
Darin Barney, McGill University, Montreal, Canada. Marcus Breen, Northeastern University, Boston, USA. G.K. Chadha, Jawaharlal Nehru University, New Dehli, India. Simon Cooper, Monash University, Australia.
Bill Cope, University of Illinois, Urbana-Champaign, USA, Common Ground. Phillip Kalantzis-Cope, The New School for Social Research, New York, USA. Bill Dutton, University of Oxford, Oxford, United Kingdom.
Amareswar Galla, The University of Queensland, Brisbane, Australia; Pacific Asia Observatory for Cultural Diversity in Human Development, Sydney, Australia. David Hakken, Indiana University, Bloomington, USA.
Rom Harré, Georgetown University, Washington, D.C., USA; London School of Economics, London, UK.
Mary Kalantzis, University of Illinois, Urbana-Champaign. Michele Knobel, Montclair State University, Montclair, USA.
Karim Gherab Martín, University of Illinois, Urbana-Champaign, USA. Jeannette Shaffer, Edtech Leaders, Virginia, USA.
Ravi S. Sharma, Nanyang Technological University, Singapore.
Robin Stanton, The Australian National University, Canberra, Australia. Alfonso Unceta, Universidad del País Vasco, Bilbao, Spain.
Telle Whitney, Anita Borg Institute for Women and Technology, Palo Alto, USA.
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Members of Technology, Knowledge and Society Community meet at the International Conference on Technology, Knowledge and Society, held annually in different locations around the world. The inaugural Technology Conference was held at the University of California, Berkeley, San Francisco in 2005. Since then, the Conference has been held in Hyderabad, India in December 2005; a symposium on Technology and Democracy was held at McGill University in Montreal, Canada in June2006; in2007the Conference was held at Cambridge University, Cambridge, UK; in 2008 at Northeastern University, Boston, USA; in 2009 at Huntsville, Alabama, USA; in 2010 at the Free University Berlin, Germany, and in 2011 at Universidad del País Vasco – Euskal Herriko Unibertsitatea Bilbao, Spain. In 2012 the Conference will be held at University of California, Los Angeles, USA.
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