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Henry James Robinson

Emerging technologies and innovating pedagogies

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Edited by Henry James Robinson, Wednesday, 25 Mar 2020, 12:42

Emerging technologies and innovating pedagogies

This past week, a lot of my time has been taken up with looking for jobs.  I like to work an EAP pre-sessional during the summer when I have a long summer break for the chance to develop my skills and experience. More on that later.   This week on the H17 course (Road to Open: Experiencing Open Education Practice), we were asked to connect e-learning theory from the past with more recent developments in thinking about learning.  We'd looked at Nichols' (2013) ‘A theory for e-learning’ in which he names his 10 hypotheses (summarised below) and we were asked to consider the extent to which they are relevant to the predictions made by Ferguson et al. (2019), Innovating Pedagogy 2019.  

Hypothesis 1: eLearning fits within face to face or distance education and behaviourism and constructivism.
Hypothesis 2: eLearning fits within the existing paradigms of face to face and distance education.
Hypothesis 3: The choice of eLearning tools should reflect rather than determine the pedagogy of a course.
Hypothesis 4: eLearning advances through the successful implementation of pedagogical innovation.
Hypothesis 5: eLearning can be used to present educational content and facilitate education processes.
Hypothesis 6: eLearning tools work best in a carefully selected, optimally integrated course design model.
Hypothesis 7: Use of eLearning tools and techniques should consider online vs offline trade-offs.
Hypothesis 8: Use of eLearning should consider how end-users will engage with the learning opportunities
Hypothesis 9: The overall aim of education does not change when eLearning is applied.
Hypothesis 10: Only pedagogical advantages are a sustainable rationale for eLearning approaches.

The predictions made by Ferguson et al. (2019), Innovating Pedagogy 2019 focus on innovative pedagogies that can be applied to e-learning.  This is the first thing to note. Nichols' article is also about pedagogy and how an overall theory of e-learning can help drive pedagogy and e-learning pedagogy in particular.  Nichols outlines 10 hypotheses to test that will help be a basis for a theory of e-learning.  Ferguson et al. (2019), in 'Innovating Pedagogy 2019' outline 10 innovations in pedagogy that have the potential to make a significant difference in the near future of education.   These are what are called Playful learning, Drone-based learning, Virtual studios, Place-based learning, Digitial Play, Decolonising learning, Learning with robots, Learning through wonder, Action learning, Roots of Empathy.  Elearning is often defined as learning conducted via electronic media, typically via the Internet.  These new emerging pedagogies may not all fit the typical idea of elearning. However, as Nichols states, elearning comfortably fits in the realm of face to face and online.  All of these pedagogies could be utilized in both contexts.  The focus of the two other articles we read is a little more on emerging technologies that could be utilised, adopting the above pedagogical approaches.  The first, New Media Consortium’s Horizon Project: 2017 Higher Education Edition highlights  Adaptive Learning Technologies, Mobile Learning, The Internet of Things, 'Next-Generation' LMSs, Artificial Intelligence and Natural User Interfaces.  The authors suggest they may have a significant impact on learning in the future.  The second, Alexander et al. (2019), in their Educause Horizon Report: 2019 Higher Education Edition, shows the evolution to some extent of the tech featured earlier. Mobile Learning is still cited as an emerging technology. AI and adaptive learning technologies are featured in the form of virtual assistants.  New emerging tech comes in the form of Analytics Technologies, Mixed Reality, and Blockchain, currently being developed for use in administrative and educational functions in universities in courses where the technology is relevant to the field.  

Reading about these new areas has inspired me to learn more, especially Next-Generation LMSs, Analytics Technologies, Mixed Reality.  I noticed that after clearing our classrooms of the old Promethean boards at our school, recently, they were all quickly replaced with new, really expensive ones. Something none of the international staff were made aware of and it became even more obvious to me than previously how we are kept in the dark about even basic information about that is going on at the school except when we are needed. I find it difficult in that context to imagine being a member of a  board involved in decision making. However, three pedagogies I think my organization would be most likely to invest in would be.  Drone-based learning, Place-based learning, Learning through Wonder and Learning with Robots.  In practice, placed-based learning or learning through wonder would be cheap and easy to implement, would fit well with the biology-chemistry curriculum, (we are a STEM focussed school) and the locations would be easy to access as we sit very close to a tree park, known for its biodiversity and which also features a mini lake.   The school already builds, adapts and experiments with drones and they are used also to record school events.  Again, components are getting cheaper and it fits the STEM focus of the school curriculum.  Robotics is a major area of interest and activity both in schools and the country's main tech universities. If this can be extended to the use of robotics in learning other than in the sciences, this would be something I'd encourage strongly, as the school does need to break out of its narrow focus on STEM, to some extent. 

CC LICENCE


References

Alexander, B. et al. (2019) EDUCAUSE Horizon Report 2019 Higher Education Edition. Louisville, CO, USA: Educause. Available at: https://www.educause.edu/ horizonreport. (Accessed: 8 November 2019).

Ferguson, R. et al. (no date) . Innovating Pedagogy 2019; Exploring new forms of teaching, learning and assessment, to guide educators and policy makers. Milton Keynes: The Open University. Available at: www.dw-images.com (Accessed: 8 November 2019).

Nichols, M. (2003) ‘A theory for elearning’, Educational Technology & Society, vol. 6, no. 2, pp. 1–10 [Online]. Available at http://elibrary.lt/ resursai/ Uzsienio%20leidiniai/ IEEE/ English/ 2006/ Volume%206/ Issue%202/ Jets_v6i2_01.pdf (Last accessed 7 November 2019).


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Henry James Robinson

My Analysis of Connectivism from EAP, ESOL Perspectives

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Edited by Henry James Robinson, Wednesday, 25 Mar 2020, 12:44

Venn diagram-Congnitivism and Connectivism

Connectivism, EAP and ESOL Teaching/Learning

My best way of analysing and critiquing connectivism, whether as a pedagogical principal or as a learning theory is through the lens of my own learning and teaching. First, my teaching.  I am an EAP and an ESOL teacher.   For most of my learners, the content they learn (I am thinking of EAP primarily when I speak of ‘content’) work alongside the challenges they face as non-native speakers of English and grasping the academic culture viewpoint from which I work. Facing those challenges are very relevant and necessary for them because they either wish to study in English or studying in a western academic context or both and the western academic ‘ethos’ is dominant in the world they live in.  And of course, the other ‘world’ they live in is the one that Siemens (2005) and Downes (2005) in which Web 2.0 has given them new access to different forms of communication and ways of forming knowledge. The sociotechnical context for learning and education has changed and is now developing at such a rate due to the internet and other emerging technologies, that a new concept of learning and new approaches to teaching and learning are required.  For the EAP practitioner, this realisation came first in the form of distance learning via email communication with learners. Then the establishment of websites whereby learners could access materials related to a specific course, and now followed by tools for synchronous and asynchronous video communication, VLE, LMS and by open online courses (MOOCs).   I had equated MOOCs much more with constructivist theory (where the learner actively ‘constructs’ meaning from their interactions with others within an environment in which knowledge and learning is exchanged) after first learning about connectivism as a concept, which I felt lacked rigour.  But I see now more clearly its influence in MOOCs I have studied on and I can see its potential by applying each aspect of the theory (from background to foreground) to my own areas of practice.

The three background concepts that have most influence the development of connectivism are:

chaos - knowledge is no longer acquired in a linear manner

complexity and self-organization - chaos complicates pattern recognition and makes it necessary for the learner to self-organise

 the existence of networks - that the learning can form and tap into

With knowledge located in dissipated sources and organised chaotically, the learner’s role is to find and recognize hidden patterns, and to make sense of the seeming chaos.

Likewise, English and the ensuing academic culture that is partly language bound can appear incomprehensible to speakers of other languages and those from a different academic background and tradition.  Different sources, including faculty members will say conflicting things or what they say may be interpreted differently and because language and conventions evolve, which is impossible to predict a connectivism approach can help to understand the Foreign language and western ‘system’ of education.  Perceiving language as a network of networks (e.g. how morphology relates to the syntactic, lexical, and phonological networks etc).  In EAP, there is a need to connect the concept of plagiarism, with citing and referencing and with the concept of academic honesty in research and knowledge sharing.  They need to navigate the array of internet sources of research findings and the importance of networks is nowadays highly emphasised when it comes to conducting their own research.  For language learners, networks are a means of practicing skills such as writing and speaking through the ties they form online.  There are many networks that provide answers to queries about language use and meaning.   

For language learners, Veselá (2013, p7) writes how language content can be divided according to the Siemens’ principles:

  • data (e.g. irregular forms of past tense)
  • information (meaning and use of these forms)
  • knowledge (ability to use these forms in context)
  • meaning (past tense in the context of the English tense system and the possibilities of how to express it)

Whether a foreign language or a foreign academic culture, learners need to decode, understand, and connect new nodes of learning with former ones.

Veselá (2013, p8) does a useful take of the definition of connectivism from an ESOL viewpoint (I've added a column for EAP):

 

 Connectivist Principles

ESOL

EAP

Connectivism is based on the diversity of viewpoints

In language, the diversity can be seen in meanings of a word, a phrase, or a sentence in various contexts, as well as its variants (regional, social...).

In academia, criticality is paramount – being able to dissect various viewpoints in arriving at an educated thesis

Learning is a process of creating connections among the nodes or information resources

 

The connecting of nodes and language networks is described above. In foreign language education it is important to use a variety of information resources

In primary research originality is vital, for that you need to know all that is out there and be up on what’s going on. You need connections for that.

Education may reside in non-human appliances

 

E-learning uses the systems for education that work without human interference. It is necessary to exploit their potential (e.g. multichannel input – sound, picture, motion, feedback etc.).

Non-human appliances enable the researcher to collate, organise and cross-reference all existing data in ways undreamt of just decades ago.

Capacity of potential knowledge is more important than the amount of the actual knowledge

Learning a foreign language is a field in which we can never say that we have learnt it.

Researchers are forever meant to be pushing the boundaries of knowledge through their own practice as researchers, whilst continually challenging what’s seen as existing knowledge

Maintenance of connections is important for continuous learning

Our ability requires continual practice. One must add new nodes and connections, also maintain and update old ones.

As soon as a researcher is out of contact with current streams of research in their field, they become isolated and their own work loses currency

The ability to see connections is the basic skill

 

Mastery of a foreign language is about fluency in the connections in the language networks.

Very often researchers’ conclusions and claims fall short of the benchmarks of accuracy, reliability and validity, replicability etc

Currency and accuracy are the aim of connectivist activities

It is necessary to use the sources of the language in current use.

Seminal work apart, research is advancing so quickly, currency must be proven against the benchmark of the most up to date and authoritative sources

Decision making process is a part of learning

The possibility to choose is an important factor of the foreign language education. The motivation increases when the learner decides not only about the language, he/she will learn, but also about the field in the case of learning a foreign language for specific purposes

An example is that often my students’ first choice is Wikipedia, despite all the encouragement we give them to choose other sources (through studies show Wikipedia is a reliable source it is not authoritative).

 

So despite my early skepticism, having studied on MOOCs for a few years now, I can see how the principals of connectivism are both reflected in MOOCs I’ve studied on and can provide the basis of effective learning. When thinking about our use of technology in education we can use its principles to guide and evaluate the tasks and activities we use.

 

References

George Siemens – Connectivism: A Learning Theory for the Digital Age, Journal of Instructional Technology: https://www.itdl.org/journal/jan_05/article01.ht

Downes, S. (2005). An introduction to connective knowledge [Web log post]. Retrieved from http://www.downes.ca/cgi-bin/page.cgi?post=33034.

Downes, S. (2005, December 22). An introduction to connective knowledge [Web log post]. Retrieved from http://www.downes.ca/cgi-bin/page.cgi?post=33034.

Connectivism has been disseminated through a book (George Siemens, 2006b), a series of articles (Downes, 2005, 2006a, 2006b, 2007a, 2008; Siemens, 2004, 2005, 2006a), blog posts at http://halfanhour.blogspot.com/ and http://www.connectivism.ca/, a large number of presentations  at conferences and workshops (see http://www.elearnspace.org/presentations.htm and http://www.downes.ca/me/presentations.htm), and through two instances of multiple open online courses (MOOCs) titled Connectivism and Connective Knowledge, held in 2008 (CCK08 http://www.elearnspace.org/blog/2008/10/30/connectivism-course-cck08/)  and 2009 (CCK09 http://ltc.umanitoba.ca/connectivism/?p=198).

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Henry James Robinson

Week 3: A theory for eLearning

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Edited by Henry James Robinson, Wednesday, 25 Mar 2020, 12:48

Graphic representation of students using technology connected via a network of lines.

Strange week, what with the school inspectors coming from Nursultan and international staff still speculating on their futures in the face of your typical post-Soviet need limit even the most basic information to those at the base of the hierarchy, even if it shoots you in your own foot.  This was the week when suddenly local teachers (just to appear to be following policy) wanted in on my classes, even though I had been shouting and screaming for team teaching all year to no avail.   

This week we were asked to read Nichols' (2003), A theory for eLearning, and review his 10 eLearning hypotheses.

It was really interesting reading because it puts the reader in the position of looking back at how much eLearning has developed since those times, whilst at the same time, in many instances, showing us how far we can potentially go, as in some ways, not much has changed.   At the same time, Nichols provides a retrospective on the two decades prior to its writing, with references as far back as the early eighties, when distance learning and more dislocated and email contact with your tutor were such an innovative break from learning only in the four walls of colleges and universities.  We can see how focussed theorists were in those days by how staunchly most of the hypotheses have weathered time since then. For example, the major terms and concepts (pg 2-3) of Online learning; eLearning; Mixed-mode/blended/resource-based learning; Web-based, Web-distributed or Webcapable and Learning Management System (LMS).  


Hypothesis 1: eLearning is a means of implementing education that can be applied within varying education models (for example, face to face or distance education) and educational philosophies (for example behaviourism and constructivism).
Hypothesis 2: eLearning enables unique forms of education that fits within the existing paradigms of face to face and distance education.
Hypothesis 3: The choice of eLearning tools should reflect rather than determine the pedagogy of a course; how technology is used is more important than which technology is used.
Hypothesis 4: eLearning advances primarily through the successful implementation of pedagogical innovation.
Hypothesis 5: eLearning can be used in two major ways; the presentation of educational content, and the facilitation of education processes.
Hypothesis 6: eLearning tools are best made to operate within a carefully selected and optimally integrated course design model.
Hypothesis 7: eLearning tools and techniques should be used only after consideration has been given to online vs offline trade-offs.
Hypothesis 8: Effective eLearning practice considers the ways in which end-users will engage with the learning opportunities provided to them.
Hypothesis 9: The overall aim of education, that is, the development of the learner in the context of a predetermined curriculum or set of learning objectives, does not change when eLearning is applied.
Hypothesis 10: Only pedagogical advantages will provide a lasting rationale for implementing eLearning approaches.


I fully agree with most of the hypotheses, mainly because I have used eLearning to achieve teaching/learning goals quite extensively and so I have experience of the basic hypotheses - that is is a method rather than an approach in itself and can fit with different approaches - online and face-to-face or 'situated'.  In course H880, we learned in theory and in practice how pedagogy should determine its use, not technology determining the pedagogy.  So, hypothesis 4, that ‘eLearning advances primarily through the successful implementation of pedagogical innovation’ resonates with me because pedagogical innovation is far more interesting to me that technology as, for one,  in my teaching context, technological innovation is limited by institutional (e.g. restrictions on the use of phones in the classroom - unlike in some university contexts in which I've worked) and there are fewer opportunities and resources to use technology (again, unlike in some university contexts in which I've worked).  Therefore, I get more out of developing my approaches to teaching and I find it more interesting anyway as for me, it is the essence of the teaching role - not promoting the latest app or hardware, which might be eye-catching and engaging at first, but whose novelty soon wears off. 

I may take some issue with the 'absolutist' terms in which eLearning is referred to in hypotheses 6 and 9, where a course comprises a pre-selected format and content (I guess that could be argued to be a top-down approach, using a traditional course design method).  Though I am not sure whether the model has ever been ever successfully applied and adopted longterm by any institution, connectivism (e.g. Siemens, 2005 and Downs, 2005) is a more bottom-up approach, with learning more tailored to the individual's personal learning network (PLN).  It constitutes a completely different proposition in terms of course 'design' and of course, it did not emerge until 2 years after the writing of the Nichols (2003) article.  As well as reading the articles below, the reader can learn more about connectivism by studying the section on this learning theory from the FutureLearn course, Learning in the Network Age



References
Downes, S. (2006). Learning networks and connective knowledge. Collective intelligence and elearning, 20, 1-26. Chicago
Siemens, G. (2005). Connectivism: Learning as network-creation. ASTD Learning News, 10(1). Chicago
Siemens, G. (2005). Connectivism: A learning theory for the digital age. Chicago


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