Congrats Tommaso Armstrong, PhD!

Tommaso Armstrong has just gained 3 new letters after his name, with a human-centred design thesis on how queer people experience social and dating platforms designed largely by and for straight people…

Tomm Armstrong has a long history with CIC, starting out as an intern while studying UTS’s groundbreaking double-degree  in the Transdisciplinary School — the Bachelor of Creative Intelligence & Innovation. He developed a learning analytics dashboard for our blogging platform for the Master of Data Science & Innovation students, when CIC was running this 2015-18. And then he returned for a PhD…

Tomm’s PhD was based in the Interaction Design Discipline in the UTS Faculty of Engineering & IT, lead supervisor Elise van den Hoven. CIC’s Simon Buckingham Shum was delighted to be invited to join the team midway.

So what was his PhD about? It is now well established that LGBTQ+ (“queer”) young people depend heavily on mainstream social media and dating platforms to find peer support and explore their identities. However, we have a poor understanding of their experiences of such platforms, which are designed largely by and for straight people. Tomm’s research decided to focus on the experiences of queer young men, in order to empower them to envision future designs that recognise the complexity of their identities, their networks, and personal safety. His website not only displays his visual design skills, but conveys his PhD in an engaging way, including a site tuned for UX designers.

A paper from his research in the premier Designing Interactive Systems conference conveys the quality of the work:

Armstrong, T., Leong, T. W., Buckingham Shum, S., & Van Den Hoven, E. (2024). “This is the kind of experience I want to have”: Supporting the experiences of queer young men on social platforms through design. Proceedings of the ACM Designing Interactive Systems Conference, Copenhagen DK. ACM, New York, NY, USA, pp. 1681-1700. https://dx.doi.org/10.1145/3643834.3661564

His full thesis is in the UTS OPUS archive (see below). Tomm is now based in San Francisco — connect with him to at https://tomma.so

Designing to improve social platform experiences for and with queer young men

Tommaso Armstrong (2025), Doctoral Dissertation, University of Technology Sydney, AUS: http://hdl.handle.net/10453/193512

Abstract: Queer young men depend heavily on social platforms. However, their needs are often not adequately considered in the design of general platforms and they can be exposed to intra-community harms on platforms such as dating apps. Recent work within HCI has exposed some of these issues, although there are limitations with existing work understanding current experiences and there is a lack of work that involves design approaches. To address these gaps and extend current understandings, this research took a multi-study approach. First, an exploratory study used semi-structured interviews with 9 participants to ground the work. Second, an in-depth study with 24 participants used semi-structured interviews and probes to better understand experiences. Finally, a co-design study was used to translate findings into design concepts. This started by running co-design workshops with 13 technology designers before the resulting concepts were evaluated in sessions with 15 queer young men. The findings from this work extend current understandings of how queer young men use social platforms by: confirming the importance of social platforms for queer young men, showing that curation practices extend beyond concealment of identity, calling attention to intra-community harms as a significant issue, highlighting the role that dating apps played in finding community and peers, and bringing light to ways that social platforms are used in not safe for work ways not currently described in HCI literature. This work also provides a number of design recommendations in the following areas: giving people have more agency over their experiences, helping people navigate mismatched expectations on dating apps, and helping people connect to community. This thesis makes four main contributions. Empirical contributions relate to extending understandings of, the experiences of queer young men on social platforms, and how to design social platforms to be supportive of their experiences. Two further artefact contributions are made, a probe kit that can be used in future work, and a design resource for social platform designers that makes our design recommendation accessible outside of academia. The thesis ends by proposing a number of directions for future work to design platforms in ways that are: more dynamic, reduce the negative impacts of idealised presentations and support trust on dating apps; and to conduct further research into the ways that social platforms are used: to curate presentation beyond concealment, in ways that include dating apps and NSFW uses; and to explore the transferability of our findings to other groups.

Triple PhD graduation! :-)

A PhD is an epic undertaking, and anyone who completes deserves huge recognition. Last week, we celebrated 3 of our students at  graduation… 

Dr. Vanessa Echeverria Barzola

Thesis title:Designing Feedback for Collocated Teams using Multimodal Learning Analytics

Supervisor/s: Prof. Simon Buckingham Shum & Dr. Roberto Maldonado Martinez

Dr. Vanessa Echeverria Barzola is now a Postdoctoral Fellow at Monash University, Australia. You can find out more about her journey here

Dr. Sophie Abel 

Thesis title: Towards Automated Feedback on Students’ Research Writing: Theory, Design and Evaluation

Supervisor/s: Prof. Simon Buckingham Shum and Assoc. Prof. Kirsty Kitto

Dr. Sophie Abel is now a  Learning Advisor at Macquarie University, Australia. You can find out more about her journey here

Dr. Gloria Fernández Nieto 

Thesis title:Automating Multimodal Data Storytelling for Embodied Team Learning

Supervisor/s: Prof. Simon Buckingham Shum, Assoc. Prof. Kirsty Kitto and Dr. Roberto Martinez Maldonado

Dr. Gloria Fernández Nieto is now a Postdoctoral Fellow at Monash University, Australia. You can find out more about her journey here.

Congratulations, Dr Antonette Shibani!

I’m delighted to announce that Antonette Shibani has become the first graduate from CIC’s PhD program! She passed with flying colours, and has secured a Lectureship in the UTS Faculty of Transdisciplinary Innovation.

Well done Shibani – here’s the link to the thesis, and check out her blog to learn more!

Augmenting pedagogic writing practice with contextualizable learning analytics

http://hdl.handle.net/10453/136846

Academic writing is a key skill that contributes to essential learning outcomes for higher education students. Despite its importance, students often lack proficiency in writing and find it challenging to learn. While previous research suggests that students’ writing skills are enhanced through formative feedback, the time-consuming nature of providing formative feedback on individual student drafts, especially in large cohorts, makes it impractical for educators to provide detailed writing support in this way. A promising approach, therefore, is the use of writing analytics  to provide automated formative feedback on writing. This particular form of learning analytics, using computational techniques and natural language processing, provides timely, immediate, and consistent automated feedback to help students improve their writing. However, for such tools to work effectively in pedagogic settings, and be adopted by practitioners, academics need to feel a sense of ownership over how the tool fits into their practice. This recognition motivates an increased emphasis on aligning learning analytics applications with learning design, so that analytics-driven feedback is congruent with the pedagogy and assessment regime. The thesis investigates how writing practice can be augmented with a writing analytics tool called ‘AcaWriter’ by aligning it with learning design. The approach is evaluated across two disciplines in authentic higher educational settings using a design-based research approach. Mixed methods and multiple data sources are used to examine how students perceive and interact with automated feedback, and revise their writing. Based on this analysis, the thesis provides empirical evidence that students found the writing intervention and automated feedback from AcaWriter useful, and improved their subject-related writing skills, thus validating its applicability in writing contexts. It identifies varied levels of student engagement with automated feedback and ways to scaffold its application for effective use. Cross-fertilizing research and practice, the key insights gained from these design iterations are formalised as the Contextualizable Learning Analytics Design model. The model clarifies how the features, feedback and learning activities around AcaWriter can be tuned for different pedagogical contexts and assessment regimes, by co-designing them with educators. The thesis also studies the perspectives of educators, who play a key role in implementing such learning analytics innovations in their classrooms. The thesis advances theory and practice in the development of flexible learning analytics applications, capable of providing meaningful, contextualized support that enhances learning, and adoption by practitioners in authentic practice.

New PostDoc Fellowship & PhD Scholarships in Learning Analytics

It’s been an exciting 3.5 years here at UTS, and CIC is about to move into a new phase, with some team changes, and new openings.

It’s always a delight to see my team move on to the next level, but of course I’m sorry to lose from the immediate team Simon Knight as he takes up a Lectureship in the new UTS Faculty of Transdisciplinary Innovation, and Andrew Gibson as he takes up a Lectureship at Queensland University of Technology. Congratulations to both of them on securing these posts, and they both know how grateful I am for their many contributions to our joint work. We will still be collaborating of course. . .

So this opens up a new 4 year post doc position in Writing Analytics which went live today — please get in touch if you want to discuss informally. We also have two 3-year PhD scholarships to continue building probably the world’s fist doctoral training program dedicated to Learning Analytics.

Postdoctoral Research Fellow: Writing Analytics (4 year post to start ASAP, Salary AUD $100,923 — $115,486 pa: deadline 11.59pm Mon 12th February 2018 (AEDT).

An exciting opportunity has opened up to join CIC, and advance the Academic Writing Analytics R&D program. You bring expertise in text analytics, great interpersonal skills to work with academics, students and partner researchers, a strong research track record, and a commitment to invent and validate 24/7 actionable feedback on writing to all students.

2 PhD Scholarships (3 year positions to start by August 2018, AUD $35,000/pa plus additional work opportunities)

CIC conducts distinctive research into the use of analytics to nurture in learners the creative, critical, sensemaking qualities needed for lifelong learning, employment and citizenship in a complex, data-saturated society. You will join four current doctoral students in this new program, the first in the world dedicated to Learning Analytics, in a university committed to making the most of Data Science.

3 PhD Scholarships, Learning Analytics (Sydney)

UTSCIC_PhD_LearningAnalyticsUNIVERSITY OF TECHNOLOGY SYDNEY

CONNECTED INTELLIGENCE CENTRE

3 LEARNING ANALYTICS PHD SCHOLARSHIPS

We are delighted to announce the launch of CIC’s doctoral program in Learning Analytics, offering three UTS Scholarships to begin your research at the start of 2016. 10 Jan 2016 deadline.

CIC’s mission is to invent, evaluate and theorise the design of human-centered data science and learning analytics to advance the UTS Teaching & Learning program. As you will see from our Research Themes and the three PhD topics advertised, a core theme is analytics techniques to nurture in learners the creative, critical, sensemaking qualities needed for lifelong learning, employment and citizenship in a complex, data-saturated society.

While our first priority is the future of learning and teaching, we also anticipate broader applications of the tools we develop, to address data science challenges in other research fields and in UTS business operations.

We invite you to apply for a place if you are committed to working in a transdisciplinary team to invent user-centered analytics tools in close partnership with the UTS staff and students who are our ‘clients’.

Please explore the website so you understand the context in which we work, and the research topics we are supervising. We look forward to hearing why you wish to join CIC, and how your background, skills and aspirations could advance this program.

New book: Chapter 1 v0.1

Al Selvin and I are working on a book to distill the key messages from his long term research programme, culminating in his PhD 18 mnths ago. So, we’re thinking aloud as we try out different ideas… reactions welcomed!

Possible titles…

Making Representations Matter: Catalyzing Collective Intelligence with Visualizations

Collective Intelligence Cartography: Emergence of a New Discipline


The word depict, from the Latin depingere, means to picture; a depiction means a representation in a picture, sculpture, or words. What this book is about is understanding how people help each other understand things by creating a picture of some kind together. By engaging people in making some kind of depiction, we can help each other explore an issue, or comprehend a situation or idea better. While much of this book will describe sophisticated kinds of depictions, like software-assisted knowledge maps, the act of engaging each other in depictions for the purpose of understanding is something that can happen at the most basic of levels.

Young Tom, six years old, had been given a small, round black compass by his parents. He was excited when he got it and ran off from the lunch table to experiment. Not long after he came back into the kitchen, on the verge of tears. “I don’t understand what it means,” he mourned. “The little needle moves all over the place. How does it help me find things?” His mother, Jackie, said, “It’s not that hard, Tom. I’ll show you.” She took some brass badges out of a drawer, and put them on the kitchen table. Tom sat him down in the chair next to her. “Now let’s pretend this one is Sally’s house,” she said, pointing at one of the badges, “and this one is the school. Where would the park be?” He moved one of the badges near one the “school”. “That’s right!” she said. “Now put the compass in the middle of them where our house would be.” Jackie took Tom’s hand, the one clutching the little compass, and moved it to the table between the objects. He put it down. Jackie pointed at the “school” and said, “Which letter on the compass is closest to the school?” “E”, Tom said. “That’s right, E is east, so that means that the school is east of our house. What about the park?” “S”, Tom said. “So which direction is the park from us?” “South,” Tom said, beginning to smile.

She moved one of the badges to the lower left, and asked “Now which direction is that?” “South… west,” said Tom, smiling. “Southwest.” “Southwest, that’s right,” his mum said. “What if it’s… west east?” he said.” “You can’t get west east,” she replied, pointing at the compass so he could see that the two directions were on opposite sides. He laughed.  “Where’s Luke’s house?” asked his father. “He’s on Peel Road,” Tom answered. “Can you point? Where do you think Luke’s house is, in relation to our house?”  asked his father. “Where’s L “It would be…” he started. She handed him a pen lid, saying “here you go, show us where Luke’s house is.” She pointed at one of the badges. “This is where our house is, show us where Luke’s house is.” ““Mummy can I just have a piece of paper?” Tom asked. “No, do it with the pen lid. Where’s Luke’s house?” He smiled and first pushed the lid farther away on the table. “No, it’s not over there”, she said, while Tom laughed. “Which way do we walk to get to Luke’s house?” He then put it more carefully to the left of the compass. “That’s right, so which way are we going to get to Luke’s house?” “North,” Tom said, smiling confidently. She pointed at her plate from lunch, farther to the left on the table. “Now Mummy’s plate is school, which way do we walk to school?” “North,” he said. “There you go!” she declared.

This story illustrates much of what this book will explore.

There was an important issue – Tom’s sadness and frustration at not understanding how the compass worked. There was someone who wanted to help Tom deal with the issue, learn something, and have fun doing it. There was the instant, unplanned inspiration – an improvisation – that Jackie came up with, to use the little shiny objects and make it into a game. She decided how the objects would play into the representation, making aesthetic choices with simple but clear tactile and visual rules, deciding (on the fly) on a compelling and engaging form that Tom could understand, enter into and be part of. She got him to point and him to move the objects around, or in the language we will use in this book, she got him to engage in the representation and in its evolution. She improvised a “script” for the game that contained a rising set of complexity and demands on Tom’s skills and evolving knowledge, or in the terms we will use in this book, she crafted a narrative with actions that had sequences and meanings. She made decisions – what we will call ethical choices – about what Tom should pay attention to, and what he could do and not do with the representation (for example, she decided that he should stick with the depiction they had created together when it came to saying where Luke’s house was, and not just draw it on paper as he asked. Jackie was sweet to Tom throughout, but also kept him firmly “on task” long enough for Tom to grasp the principles of the compass and understand how it could tell him directions between things he cared about. In doing this, Jackie helped Tom make sense of something that had been frustrating him, turning it into something he could enjoy and take forward into life.


This is what the book covers. We will discuss how we engage others in creating representations to help understand issues, but more to the point what that activity is actually composed of. As we’ll see in Chapter 2, most treatments of participatory visualizations talk about methods and outcomes, but few treat the practice  of engaging people in such visualizations as a subject worthy of attention in its own right. This book focuses on ways to look at and understand the practice of making participatory representations – the skills and considerations involved, the choices that practitioners make, and the ways in which participants can engage and make use of them.

We start with parents and kids precisely because of the everyday nature of those interactions. Helping our children understand things is not a matter of stuffing facts and ideas into their heads from outside. We know that for them to learn and grow, it has to mostly come from inside of them. Kids need to engage with situations, try them out, learn them from the inside out. They do this for themselves with their imaginative play, setting things up and manipulating them, creating whole worlds from whatever they have around them.

When our kids were small, their number one toy, in terms of getting actually used and played with over and over again, was just ordinary cardboard and wooden blocks. They could make them be anything they wanted – a house, a fort, a landscape. They were making representations and engaging in them with all of the energy and imagination they could muster.

When we as parents want our kids to learn something, especially something they are struggling with, we meet them where they are. As Jackie did with the compass, we give them tangible ways to understand their world and pick up new abilities. For example, parents best help kids with their writing assignments not by giving them general principles or the same kinds of drills they get in school. Instead they can help them look at specific sentences, words, and paragraphs in the context of what their assignment is about, and try to help them see what works or doesn’t work in that arena. The real help they provide is very close-grained, very close to the materials themselves. The tactile and visual contact with specific words and sentences — moving them around to see what works best, like Tom’s little metal items on the kitchen table — make the difference. It’s not giving kids the answers, instead it’s helping them to see how to come up with the answers themselves.

The parent’s role is to help that process along by the simultaneous close engagement with the materials and medium itself (what they are writing about and how they are doing it), with the interactions with the kids as people, with an attitude of love and hope and respect for their own intelligence — an attitude that tells the kids they will get it, they just haven’t gotten there yet. There is something about that close work with words and sentences and meanings, with styles and effects, with thinking through the consequences of different choices, providing examples but only to help them to see why it does or doesn’t work in the context, that helps kids move toward being able to do it on their own. It’s not much different from other things parents teach their kids, like how to ride bicycles. That skill, too, has to come from inside the child. A parent can’t ride the bikes for them or tell them in the abstract how to do it. Instead, the parent has to help kids to learn the little tricks of balance and navigation, and the confidence that they don’t need a puffing parent running alongside holding the bike up straight. Ultimately what matters is when could get around the block under their own power, wearing that look of pride and freedom on their faces when they had done it.

This fostering of capability in the ability to engage others in making helpful representations is a huge motivation to us. We want to be of help to people trying to achieve and express what they are trying to do with the new media for mapping the connections between ideas. If the considerations in this book can help people see for themselves why something does or doesn’t work, and come up with their own inspirations, it will have been worth it.

That is what the considerations in the remaining chapters speak to.


A second example bridges between the more commonplace examples above and the main content of this book, which mainly explores the kinds of considerations that obtain when engaging people in software-based representational tools. Though as the above discussion tried to state, really the core ideas are common to the most everyday attempts of people to help others by engaging them in making a depiction together.

A committee in a medium-sized public school district (approximately 20,000 students) in the Hudson River Valley region of New York State was tasked with analyzing the alternatives for school building capacity in the district, which has experienced declining enrollment. This highly contentious issue had come up many times before. The district’s superintendent of schools was concerned that the discussion would be unproductive, due to tensions and unsurfaced assumptions between the various interest groups (school administrators, teachers, parents, taxpayers, etc.). Every school building has an active, vocal contingent of parents and teachers who have strong interests in keeping their own local school open. Equally strong and vocal are the many local taxpayers who feel that school taxes are already too high. To address this, the superintendent asked two outside facilitators with expertise in conducting participatory knowledge mapping sessions to help run the meetings.

The two facilitators convened a series of meetings in a library of one of the schools. A committee of twenty parents, teachers, community activists, and administrators met once a week to work through the alternatives. For each meeting, the facilitators prepared an agenda with a hypermedia issue mapping tool, which was projected in front of the group on large screens. The agenda focused on various alternatives, policy matters, process considerations, and other issues.

CompendiumTemplate-SchoolDistrict

The facilitators employed a variety of approaches. First, they facilitated a general discussion of the issues involved, using a conventional Issue-Based Information System (IBIS) approach (representing discourse as issues, positions, pros, and cons) to capture and display the discussion as it proceeded. This involved rapid synthesis of what the meeting attendees were saying, thus creating nodes and links in the hypermedia tool that showed the relationship of statements to each other. They also validated the way they captured the statements by frequently asking the participants to look at the maps, asking “Does this capture what you said accurately?” Sometimes participants looked closely and provided detailed feedback (e.g, “Well, not really. What I was really trying to say was this…”). At other times, the heat of the discussion was such that it was difficult for the practitioners to intervene without running the risk of derailing the meeting’s momentum. The practitioners had to make moment-to-moment decisions on how much to intervene, and in what ways.

Between meetings, the practitioners analyzed the maps from the general discussion. They looked for recurring themes and questions and, from these, created a template covering the major considerations that would guide choices between the alternatives (see Figure 2). They then facilitated several sessions using the template to structure conversation about each of the alternatives in turn. By the fourth session, the facilitators were able to induce the participants to conduct an analysis according to the template, while still capturing as much of the side discussion and issues as possible. Also between sessions, the district office distributed via mail all of the map output in text form to all the participants.

At the end of the process, the practitioners held a plenary session for the broader community to understand the final decision. The maps of rationale and templated analysis made the pros and cons for each alternative, as well as many of the comments and points of view, clear and explicit. Even though there was little consensus that the chosen alternative was the best one, the community members completing a post-presentation questionnaire agreed that the process had been conducted in a fair manner, and that the discourse and competing points of view had been made more explicit and comprehensible than in previous years.

In this example, a very different set of considerations and techniques were employed. However, we aim to show that the framework and language we are developing — to describe how one adds value to a conversation with real time representational practice — is as applicable to this as it is to our opening kitchen scene:

PRP-ConceptualFramework


As we navigate the second decade of the 21st century, humanity confronts intensely complex challenges, at many scales from personal, to community, to national and global. Finance, health, energy, education, urbanization, terrorism: the dilemmas we face stretch to the very limit our cognitive and interpersonal capacities — to make sense of overwhelming amounts of data; to assess conflicting judgments about its trustworthiness; to resolve polarized interpretations about the implications; and to negotiate effective courses of action to which all parties can commit.

Better data and information/communication technologies (ICT) are not only drivers of these challenges, but have key roles to play in managing them. However:

more data + more processing technology ≠ more insight or wisdom

The nature of the problems we face means we will depend on nuanced human judgment over complex tradeoffs long into the foreseeable future, because despite their scientific and engineering foundations, these are not purely rational problems to be solved from first principles, using tried and tested algorithms or methods. The nature of policy formulation and implementation is fraught with the messiness of human life — social, organizational, political and cultural dimensions cannot be simply wished away. Technically sound engineering blueprints are not sufficient when designing solutions to wicked problems, whose very definition is contested. Somehow, humanity’s collective intelligence must chart courses through these white waters.

None of this is news of course, and many people are working on it. Under the broad heading of collective intelligence (including other strands of our own work) we see community activists, academics, businesses and governments seeking to improve the social fabric of the internet in order to better harness the collective intelligence of human networks, operating largely asynchronously across timezones, augmented by machine intelligence (e.g. www.ci2012.org). Another strand of work uses sensor networks and computational simulation of social systems (e.g. www.futurict.eu) to help us understand, increasingly in real time, the complex adaptive systems permeating society, but whose structure and dynamics we are only beginning to grasp — often with tragic consequences when we consider our lack of control over financial markets or medical epidemics.

Collective Intelligence Cartography (CIC) occupies a different niche. All of the above work will generate symbolic representations of many sorts, around which many meetings will be held to figure out what they mean, and it is here that CIC makes a contribution. Our focus is on a pervasive, critical, and hence surprisingly neglected piece of the collective intelligence jigsaw puzzle, namely, how do we improve our capacity to use such representations when we meet?

This focus on the dynamics of collective intelligence in small scale, synchronous contexts complements the social-semantic web/collective intelligence focus on large scale, asynchronous interaction.

CIC also complements the big data and simulation efforts, shifting attention from machine-mining patterns in relatively low-level data to the highest levels of meaning-making that humans are capable of:

  • wrestling with ethical dilemmas
  • resolving conflicts between diverse stakeholders
  • crafting metaphorical power through stories
  • empathizing by placing oneself in another’s shoes

This is the next step from machine-generated information visualizations to their manipulation and annotation as people discuss them, and to the manual crafting of representations (with or without computational aids) that reflect a team’s evolving understanding of a problem or the creative process as a design solution emerges.

This focus takes us back to humanity’s most established mode of information diffusion and collective sensemaking: talking face to face, and inscribing marks in dirt, leaves and clay. In an earlier book, we introduced the concept of maps as follows:

Maps are one of the oldest forms of human communication. Map-making, like painting, pre-dates both number systems and written language. Primitive peoples made maps to orientate themselves in both the living environment and the spiritual worlds. Mapping enabled them to transcend the limitations of private, individual representations of terrain in order to augment group planning, reasoning and memory. Shared, visual representations opened new possibilities for focusing collective attention, re-living the past, envisaging new scenarios, coordinating actions and making decisions.

Maps mediate the inner mental world and outer physical world. They help us make sense of the universe at different scales, from galaxies to DNA, and connect the abstract with the concrete by overlaying meanings onto that world, from astrological deities to signatures for diseases. They help us remember what is important, and explore possible configurations of the unknown. (Preface to Knowledge Cartography, 2008)

Thus, we are interested in how teams build new meaning using ‘representational artifacts’ which take into account all the ‘hard’ technical criteria as well as the ‘softer’ human criteria mentioned above. In millions of meetings today, people will be scribbling and sketching on paper and whiteboards; typing lists of bullet points and outlines on screen; displaying, annotating and sharing photos, diagrams, maps and websites. However, CIC is not about collaboration and visualization software per se (although much of our work has been with hypermedia visualization tools), but about the human skillset needed to wield these and non-digital artifacts effectively, in real time, to build new meaning in a group. We’ve all been in meetings where a shared display added little value — but we’ve all been in meetings when the right representation at the right moment helped to harness the collective energy and wisdom in the room, people connect with each other and the problem at a deeper level, and things move forward tangibly. What does someone do with a representation to catalyse such moments?

We need to attend to the people who know how to do this, and learn from them (and instructively, from those who are less fluent). We argue that what we call Participatory Representational Practice is a poorly understood but vital new civic skill for all types of collaborative knowledge work, where the complexity of the problem requires, or benefits from, the construction of a collectively owned representational artifact — whether scribbled on a napkin or detailed in a multiuser computational modeling tool. Hence, this includes meeting facilitators, but extends to many others, such as students, teachers, designers, academics and policy analysts.

To substantiate this claim, we have been documenting the vacuum in our current understanding, both in academic research and in practitioners’ state-of-the-art: nobody seems to have articulated the experience and skillset of this new breed of ‘cartographers’.

Schön (1983) insisted that there is an artistry to professional practice that, although difficult to describe, nonetheless informs and shapes what practitioners actually do:

Let us search … for an epistemology of practice implicit in the artistic, intuitive processes which some practitioners do bring to situations of uncertainty, instability, uniqueness, and value conflict. (1983: 49)

This book intends to contribute to that search. We describe the process by which we have developed a language to describe the distinctive experience and skillset that marks these people out (Chapter X). To give you a feel for what’s to come, in developing a language capable of expressing what we found when studying such practitioners, we found it necessary to draw from Aesthetics (how practitioners shape and craft the representation), Ethics (how a practitioner’s actions affect other people), Narrative (meaning and causality applied to the flow of events), Sensemaking (the ways in which practitioners deal with situations of doubt or instability) and Improvisation (the spontaneous, creative moves that practitioners can make).

This language has emerged in dialogue with designing ways of seeing this in action by analyzing and visualizing video data at different scales, both quantitatively and qualitatively (Chapter X). This lays the conceptual and empirical foundations for future practitioner training and software development (Chapter X).

To conclude, in an age of unprecedented complexity, we urgently need people who are fluent at “augmenting human intellect” with new kinds of “concept structures”, to borrow Doug Engelbart’s iconic 1963 language. Our schools, universities and workplaces train us to read and write as solo authors and speakers, paying little or no attention to the pervasive role of representations in our thinking with others. Understanding the experience and skillset that people fluent in such practice is a key first step. Perhaps this may come to be seen as a 21st century literacy — reading and writing symbolically in ways designed specifically to build real-time collective intelligence.

We hope this whets your appetite. If so, then let us take you on a journey…

Al Selvin and Simon Buckingham Shum

2 PhDs: Learning Analytics & Authentic Inquiry

KMi has several studentships for PhDs starting full time in Oct 2012. Two of them are around my joint work with Rebecca Ferguson at the intersection of  learning analytics, deep learning, authentic inquiry and dispositions. You will be competing against many other applicants across all KMi research topics, so show us how good you are!

The first is:

Learning Analytics for Learning Power

and this one, which will shortly go up on the KMi Studentships page:

EnquiryBlogger: tools for reflective learning

Knowledge Media Institute, The Open University, Milton Keynes, UK
3 year fully-funded PhD (Oct. 2012-Sept.2015), Stipend: £40,770 (£13,590/year)

Supervisors: Simon Buckingham Shum & Rebecca Ferguson

Background

Enquiry-based learning is shaped by students’ interests and driven by their curiosity. As learners engage in an authentic enquiry, they not only acquire knowledge and skills but also develop the values and attitudes necessary for learning [1]. The Knowledge Media Institute (KMi), working with partners, has developed an online toolset, EnquiryBlogger, in order to support awareness and reflection for enquiry-based learners [2]. Writing a blog offers learners opportunities to incorporate many perspectives, develop carefully crafted contributions, reflect and make considered responses [3]. It also provides an environment in which people can observe, articulate and refine practices [4]. EnquiryBlogger extends the core features of a robust, open-source blogging platform, offering four additional tools:

  • Enquiry Spiral provides a graphical representation of the enquiry; clickable links allow learners and teachers to track progress within and across blogs.
  • ELLI Spider provides learners with a pre-defined set of tags to reflect self-perceptions of their learning power. The resulting spider diagram provides a searchable graphic representation.
  • Mood graph reflects users’ affective response to their enquiries. Learners select an emoticon, and the written explanation of their choice is recorded as a blog post. The resulting clickable graph charts changes in emotional state.
  • Dashboards provide educators with clickable overviews, allowing them to see how each enquiry is progressing, which learners are having difficulties and which learners are reporting success and high levels of reflection.

Our strategic goal is to develop EnquiryBlogger, its visualisations and its dashboards to help learners at all levels engage in enquiry-based learning and, ultimately, build their capacity as life-long, life-wide learners.

PHD CHALLENGE: This PhD will fund a candidate to evaluate, design and implement tools for reflective, enquiry-based learning.

EnquiryBlogger is currently being trialed with groups including junior school pupils and Masters students. A key next step is to extend and evaluate these trials, which will drive the design and development of tools to support learning and teaching using authentic enquiry. The current tools provide a basis for the development of learning analytics, visualisations and dashboards that could be deployed in other contexts, for example within other Open University platforms such as SocialLearn [5] and Cohere [6]. A possible outcome is an integrated set of tools and dashboards that can be adapted to diverse situations, that are grounded in a theoretically robust framework, and that offer visualisations with the potential to transform learners’ and teachers’ experience of enquiry-based learning. The PhD will be in collaboration with learning scientists and practitioners in the global LearningEmergence.net research network, who are well placed to provide pedagogical input, user communities and impact evaluations.

Seize the Day!

This is a fantastic opportunity if you are passionate about the future of learning and want to engage with next-generation pedagogy. You may be a great web, widget or app developer, aiming to develop a research career in technology-enhanced learning. Or you may have a background in education, and be aiming to build your skills as a developer alongside your experience as a researcher. Your supervisors will be Simon Buckingham Shum and Rebecca Ferguson, who are active contributors to the field of Learning Analytics research. The PhD will be in collaboration with learning scientists and practitioners in the global LearningEmergence.net research network, who are well placed to provide pedagogical input, user communities and impact evaluations. In particular, this work will be done in partnership with Ruth Deakin Crick, University of Bristol (Graduate School of Education & Centre for Systems Learning & Leadership), whose research into modelling and assessing learning power provides a foundational element for this project.

Open U. is the place to do research in learning technology, this being an institutional mission-critical challenge. The Knowledge Media Institute is an 80-strong state of the art research lab, prototyping the future for the Open University and the many other organisations with whom KMi partners. KMi is renowned for its creative, can-do culture, and its high impact on the OU’s strategic thinking and technical capacity [Locate KMi]. The Institute of Educational Technology (where Rebecca Ferguson is based) is home to world leading research on learning technology, as well as conducting institutional research to inform the university’s core business. You will be part of a comprehensive doctoral training programme in computing and educational technology, participating in a dynamic research community, with opportunities to connect with groundbreaking people and ideas — limited only by your energy and imagination.

To Apply…

  • Contact us if you have informal queries: s.buckingham.shum or r.m.ferguson atsign open.ac.uk.
  • Read the background papers, and research technical approaches which will enable you to locate your ideas within the literature on learning analytics. See for instance the ACM Learning Analytics Conference (2011/2012), and SoLAR resources, and other research conferences around data mining and visualization.
  • Open U. Research website gives an overview of the quality of research conducted here, and the Research Degrees Handbook which will answer many practical questions
  • Draft a proposal outlining how you might tackle this challenge, highlighting which of the above approaches you might focus on, and the skills/experience that you bring (plus any that you recognise you will need to acquire). 4 pages max. This is not a binding document, but shows us how clearly you can think and write.
  • Complete the PhD application form [Word doc]
  • Email these with your CV and a cover letter, cc’ing Simon Buckingham Shum & Rebecca Ferguson, to: Ortenz Rose <O.Rose@open.ac.uk>
  • Deadline 7 June: You will be competing for one of several studentships being offered across all KMi research topics.

Reading

[1]     Deakin Crick, R., (2009) Inquiry-based learning: reconciling the personal with the public in a democratic and archaeological pedagogy. Curriculum Journal, 20, 73-92. [abstract] Contact us for a copy

[2]     Ferguson, R., Buckingham Shum, S., & Deakin Crick, R. (2011) EnquiryBlogger – Using Widgets To Support Awareness and Reflection in a PLE Setting. In W. Reinhardt, & T. D. Ullmann (Eds.), 1st Workshop on Awareness and Reflection in Personal Learning Environments. http://oro.open.ac.uk/30598

[3]     Ferguson, R., Clough, G. and Hosein, A., (2007) Postgraduate blogs: beyond the ordinary research journal. In: S. Wheeler and N. Whitton (eds.), ALT-C 2007 Proceedings. http://oro.open.ac.uk/12275

[4]     Efimova, L., Fiedler, S., Verwijs, C. and Boyd, A. (2007) Legitimised theft: distributed apprenticeship in weblog networks. I-know 04, (Graz, Austria).

[5]     Ferguson, R. and Buckingham Shum, S., (2012) Towards a social learning space for open educational resources. In: A. Okada, T. Connolly and P. Scott (eds.), Collaborative Learning 2.0: Open Educational Resources. IGI. http://oro.open.ac.uk/33457

[6]     De Liddo, A., Sándor, A. and Buckingham Shum, S., (in press) Contested collective intelligence: rationale, technologies, and a human-machine annotation study. Computer Supported Cooperative Work. http://oro.open.ac.uk/31052

Making Representations Matter: Al Selvin PhD

In an earlier post on Knowledge Art, a term coined by friend and colleague Al Selvin, I opened with this question:

What does it mean to be literate in crafting representations that help a group make sense of the world?

Arguably, this is a literacy of first order importance as we confront novel challenges of overwhelming complexity, which will always (and increasingly) require external representations as extensions and augmentations of personal and collective cognition. However smart our  technologies are, people must then engage in sensemaking activity around them to decide how to act. If a group is building a model of the world in some medium (paper +/or digital) what is the skillset to orchestrate effective interaction around and via that representation?

Compendium has provided us with a long term vehicle to explore these questions specifically around fluency with participatory hypermedia and knowledge cartography for sensemaking, but our interest has stretched beyond any one software tool or practice.

I’m delighted to say that Al has now completed his doctoral research, which has been unpacking this question very elegantly (see his Knowledge Art blog), and his dissertation is online today as a KMi Technical Report:

Selvin, A.M. (2011). Making Representations Matter: Understanding Practitioner Experience in Participatory Sensemaking. Doctoral Dissertation, Knowledge Media Institute, The Open University, Milton Keynes, UK. Available as Eprint: http://oro.open.ac.uk/30834

Abstract: Appropriating new technologies in order to foster collaboration and participatory engagement is a focus for many fields, but there is relatively little research on the experience of practitioners who do so. The role of technology-use mediators is to help make such technologies amenable and of value to the people who interact with them and each other. When the nature of the technology is to provide textual and visual representations of ideas and discussions, issues of form and shaping arise, along with questions of professional ethics. This thesis examines such participatory representational practice, specifically how practitioners make participatory visual representations (pictures, diagrams, knowledge maps) coherent, engaging and useful for groups tackling complex societal and organizational challenges. This thesis develops and applies a method to analyze, characterize, and compare instances of participatory representational practice in such a way as to highlight experiential aspects such as aesthetics, narrative, improvisation, sensemaking, and ethics. It extends taxonomies of such practices found in related research, and contributes to a critique of functionalist or techno-rationalist approaches to studying professional practice. It studies how fourteen practitioners using a visual hypermedia tool engaged participants with the hypermedia representations, and the ways they made the representations matter to the participants. It focuses on the sensemaking challenges that the practitioners encountered in their sessions, and on the ways that the form they gave the visual representations (aesthetics) related to the service they were trying to provide to their participants. Qualitative research methods such as grounded theory are employed to analyze video recordings of the participatory representational sessions. Analytical tools were developed to provide a multi-perspective view on each session. Conceptual and normative frameworks for understanding the practitioner experience in participatory representational practice in context, especially in terms of aesthetics, ethics, narrative, sensemaking, and improvisation, are proposed. The thesis places these concerns in context of other kinds of facilitative and mediation practices as well as research on reflective practice, aesthetic experience, critical HCI, and participatory design.

Many congratulations to him on completing this step of the journey, and I can’t wait to see what the next step holds in store.

A recent journal paper provides a partial account of this work:

Selvin, A., Buckingham Shum,S.J. & Aakhus, M. (2010). The Practice Level in Participatory Design Rationale: Studying Practitioner Moves and Choices. Human Technology (Special Issue on Creativity and Rationale, Ed. John Carroll), 6, (1), pp. 71–105. [www.humantechnology.jyu.fi]. Preprint: http://oro.open.ac.uk/20948

The webcast and slides from a KMi seminar he gave are below:

Al Selvin, KMi Webinar [click to replay in new tab]
Al Selvin, KMi Seminar, 8 June, 2011 [click to replay in new tab]

Research as Hypermedia Narrative

As part of our university-wide doctoral training programme, which we’re opening increasingly to the world as open educational resources, here’s the webcast and multimedia resources from my keynote at last week’s Open University Research Methods conference. The Cloudscape from this event, which was live-blogged, is itself a great resource to mine (see also the Research Skills clouds).

It was fun putting this together, and I squeezed in as many movies and live demos as possible from the many projects we’ve done with Compendium to illustrate how far Bush’s original conception of the Memex has come, and how far a particular hypermedia tool with a very simple notation can go…

In this talk I will introduce the work of the Hypermedia Discourse Group at the Knowledge Media Institute, which is focusing on how software tools may shape the future of scholarship. Our particular interest is in how new forms of narrative can emerge through the use of hypertext tools that treat ideas, problems and arguments as coherent networks of nodes. This enables us to reframe qualitative data analysis, and scientific publishing, as the construction of narrative networks, grounded in primary sources. I will illustrate this with examples from projects including the NASA Mobile Agents project, the Hewlett Foundation OLnet project, and the AHRC+EPRSC+JISC e-Dance project.

Mapping PhD research in Compendium

Colleague and part-time KMi PhD student Al Selvin has posted a fantastic lightning tour of his PhD project database in Compendium. This illustrates very well the power of lightweight semantics in a flexible, visual hypermedia environment, for tracking over a long period issues, ideas, themes and documents with many levels of connection. Even better, he’s placed his analysis maps online as open research data.

(Background: in 2002 Al’s team at NYNEX licensed Compendium to KMi for co-development as an open source tool. Since then, with continuous funding primarily from the UK Research Councils, it has developed into a robust knowledge management tool, with >100,000 downloads and an active user community, plus significant contributions to the codebase coming from non-OU developers)

Watch the movie — but here are a few stills to give a feel for the range of interlinked representations that he uses.

(A series of podcasts from the e-Dance project describes in detail the use of Compendium as a tool for compiling, presenting, and teaching with multimedia research resources, in support of arts and humanities research, such as choreographic research, which sees the practice as research. See also the PARIP conference where we ran a workshop, introducing Compendium within Selvin’s Knowledge Art framework).

Analysis maps homepage:

Summary points from video analysis sessions, connected to maps containing all data for each session

Mapping the emerging taxonomy from the data

A map linking all the representational artifacts used to analyse video data

Using the tagging interface to filter and browse the literature review maps