Category Archives: Uncategorized

B(uild)YO skilled Data Librarian #theta2015

B(uild)YO skilled Data Librarian (abstract)
Karen Visser, Natasha Simons and Kathryn Unsworth

[Flipped classroom approach: 1) looked at recent data librarian job ads to work out what skills we/librarians would need to develop; 2) shared ideas previously generated of how to upskill (eg reading D-Lib articles; attending iassist conferences; data ‘bootcamp’ workshop); 3) discussed topics in teams – eg what skills does a data librarian need (we came up with subject ontology expertise, ethical/cultural understanding, knowledge of legal issues, then unfortunately time was up).

[Pretty chaotic but got through a lot especially since multiple ‘streamed’ discussions went on at once – organisers aim to distribute notes to attendees post-conference.]

Digital humanities’ use of cultural data #theta2015

How will digital humanities in the future use cultural data?
Ingrid Mason @1n9r1d

[Presentation basically takes the approach of giving an overview of digital humanities and cultural data by throwing lots of examples at us – fascinating but not conducive to notes.]

Cultural data is generated through all research – seems to be more through humanities, but many others too.
RDS building national collection pulling together statistical adata, manuscripts, documents, artefacts, av recordings from an array of unconnected repositories.

New challenge: people wanting access to collections in bulk, not just borrowing a couple of items. Need to look at developing a wholesale interface on top of our existing retail interface.

Close reading vs distant reading. Computation + arrangement + distance. Researchers interested in immersion; in moving images (eg change over time); pattern analysis; opening up the archive (eg @TroveNewsBot). Text mining/linguistic computing methods to look at World Trade Centre first-responder inteviews. Digital paleography – recognising writing of medieval scripts. Linked Jazz.

A dream: when an undergrad would have loved to have been in the Matrix. Have a novel surrounding you and then turn it immediately into a concordance.

Things digital humanities researchers need: Visualisation hours. Digitisation and OCR. Project managers. Multimedia from various institutions. High-performance computing experts.

~”Undigitised data is like dark matter” (Maltby)

What we can do:

  • Talk to researchers about materials they need
  • Learn about APIs
  • Provide training

Q: Indigenous cultural data
A: Some material is very sensitive and challenges to get it to appropriate researchers/communities so could be opportunities to work together.

Q: Any work on standardisation of cultural data?
A: At a high level (collection description) we can but between fields harder.

Learning Sciences & the Impact on Learning Technologies #theta2015

Learning Sciences & the Impact on Learning Technologies and Learning Activities (abstract)
Phil Long @radhertz

Learning = acquisition of knowledge (dictionary); reflects permanent change in behaviour (psychologists). Tied up with context; it’s about retrieving knowledge to suit present needs.

Summary: We’ve known a lot about learning processes for 50-100 years – just starting to get out of academic circles with advent of learning technology.

    Overlearning – learning beyond mastery – extremely powerful way to impact long-term retention
  • Variable/interleaved vs consistent practice – studying in different environments outperformed studying in same environment. Studying artists mixed up outperformed studying artists sequentially.
  • Mixing questions vs blocking questions: during practice blocking wins; on testing mixing wins. (However cramming for the test will often outperform – for that one exam, but not a week later.)
  • Giving a series of tests outperforms giving study time (but annoys students and is a lot of work!

We should build tools that make better learning practices part of the design.

Metacognition – awareness/understanding one’s own thought process.
Refers the Dunning-Kruger issue of people over-estimating their competence. Cleese sums up as “people who are so stupid they don’t know how stupid they are”. Conversely top performers underestimate how well they’re doing.

Digital tools building in these findings:

Learning Tools Interoperability – allowing multiple tools associated with courses to interact and link between each other. LTI apps on dedicated app store. But also and open source a federated store behing developed: Casa.

Hoot.me tries to integrate learning into Facebook – people can sign up as a tutor. Can submit a drawing/voiceover as a question. Maybe-creepy part is allows people to charge for tutoring. Probably-creepy part is this can show up in LMS for professor to read and respond, which will show up on Facebook.

How are we connecting where students are hanging out with where we’re teaching? [Should we? Don’t people sometimes need downtime?]

Where do we stand on spectrum between adaptive tools and personalised learning tools.
Why aren’t we proactively developing our own learning app store that represents good learning theory?

Innovations in publishing; giving control back to authors #theta2015

Innovations in publishing; giving control back to authors
Virginia Barbour, Executive Officer, Australian Open Access Support Group (ORCID)

Lovely slide comparing a title page for the 1665 Phil.Trans of the Royal Society vs a 2014 Royal Society Open Science article on the web including a YouTube movie of the subject seadragon.

What’s worked well and not-so-well? Online > free > data > attribution > authorship > open
(Difference between ‘free’ and ‘open’ is important!)

We’ve changed the philosophy. We’ve begun to understand what we can do with the web. We’ve seen an explosion of models – not just for open, but also for toll. We’ve begun to ‘harness collective intelligence’. We’ve got the technology and processes to do open access, so with Creative Commons we can clearly label what people can/can’t do with something.

So have we fixed publishing? Hmm.

We need new thinking in peer review. Example of CERN paper appearing to find faster-than-light results and putting it up on arXiv for peer review so that someone could figure out what they’d done wrong. But also post-publication peer review – ~”the terrifying thing of publishing OA is that if you’re wrong someone will tell you about it on Twitter five minutes later”. PubMed Commons

Claiming contributions and identity. Disambiguating multiple authors with same name. Technology catching up with this. Hugely empowering for especially women whose names may change pre/post marriage/divorce.

What’s the right version of an article? Can provide “CrossMark” telling you if there’s an update – even works on downloaded PDFs on your computer.

But most of the debate around open access is driven by publishers. How do authors get control? Knowledge.

Areas where wants authors to have knowledge:

  • where to publish
  • understanding peer review and the black box of publishing
  • understanding how open something is and what can be done with it (eg data mining)

Susan L Janson “research is not finished until it’s published”
Authors need to care as much about publishing as about researching.

Connecting data to actions for improved learning #theta2015

Connecting data to actions for improved learning
Cathy Cavanaugh, Director of Teaching and Learning, Microsoft Corporation

How are we learning from learning? Educators learn by teaching and by feedback (explicit or body language) as well as by sharing expertise with each other. But still limits on dissemination of knowledge about teaching and learning.

Everything in a student’s life has an impact on their learning. What has the greatest impact? Pre-2010 we got data from:

  • observations, checklists
  • assessments
  • LMS logs
  • SIS -> demographic data

Found students at a novice level did better if they logged into the LMS less often but for longer. At the advance level the opposite was true. But when talking to other educators in other programs found that the factors are different. Context is vital.

Factors we can use in 2015:

  • observations, checklists
  • predictive analytics
  • voice, gesture, ink input
  • making
  • games
  • badges
  • social network analysis
  • LMS logs
  • self-reports
  • assessments
  • adaptive systems
  • device usage
  • effort

Using machine-learning they were able to predict with high accuracy which students are likely to pass the class.

At one high school found that one policy (re dressing for PE) was causing students to fail. Could quickly change the policy.

Doesn’t need to be institutional data – student wearing a wearable tracking health data, could also be tracking their ability to learn.
Augmented reality -> lots of opportunity to get a lot more data.
Internet of things

(Azure) Machine-learning service can ingest data from variety of sources, run analytics/predictions, and output to data dashboards. Drag-and-drop interface.

Q: Security and privacy when processing on the cloud?
A: Each institution will need to grapple with it. Accounts are secure. Some aspects accessible to institution, others to student only.

Q: When do analytics become creepy rather than helpful?
A: When something is too detailed it doesn’t feel helpful. Need to move deliberately, pilot projects, maybe with grad students who are thinking about their learning.

Video-conferencing and teaching #theta2015

Video-conferencing and teaching – From outback Queensland to Ireland and back again (abstract)
David Wilson and Tim Gentile

One challenge is finding technology that works as well in regional areas as in cities. [Very relevant to Lincoln Uni context too. Unfortunately session doesn’t go on to discuss broadband issues at all, though an audience question later prompts them to mention they use Cisco systems, Jabber fallback.]

Biggest challenge is with student engagement – NZ study found higher attrition rate with video-conferencing than face-to-face. Many self-conscious on camera so might be more hesitant. Some feel disadvantaged. Reliability of technology is another issue, especially combined with lack of tech support. People have to speak one at a time.

Three models at Griffith:

  • multi-campus engagement (delivered on one campus and video-conference to another campus) – causes discussion about disadvantage, one solution can be to alternate which is the face-to-face campus
  • industry engagement (eg Lord David Puttnam giving lectures on film) “Overcomes the tyranny of distance”.
  • flipped teaching methods – haven’t used much yet

Need to educate academics about techniques, and students about etiquette, for video conferencing. [Hmm, I think vice versa as well.]

Challenges:

  • with student interaction when there’s a large cohort. With about 20 students it’s not too bad, can pass a mic around; with 200 becomes harder.
  • practical demonstrations need a special setup, lighting, etc, not just standard solution

Tech potential:

  • For lecturers who walk around a lot there are auto-tracking cameras. Effective range usually 10m so not appropriate to larger lecture theatres.
  • Twitter feed to bring up students’ questions. Currently in idea stage, untested – needs time to get right. Tech exists but need to adapt to teaching environment. Eg if 20 questions at once need to make usable for lecturers.
  • Q: “Shotgun microphones”
    A: Used in seminar rooms and lecture theatres. Setup with film school has more intricate setup basically like a full production with camera switching and someone carrying mic around. Similar effective range as auto-tracking cameras.

    Q: Can you record and make video conferences available?
    A: Yes, opt-in, becoming more popular. Have two content servers (so failover) – captures camera and audio.
    Q: Any copyright issues if including video?
    A: Yes, similar issues as lecture capture. For film school all copyright handled beforehand [helped that producer was lecturer!] For others, send all video to lecturer and leave it up to them to deal with copyright [which they won’t be good at so this is basically a “wash your hands” kind of solution].

    Real-time space usage monitoring #theta2015

    A Real-time Step into Space (abstract)
    Kim Tairi and Shane Skidmore

    Slides online

    Swinburne a young, mid-sized university, focused on “science, technology and innovation”. Difficult times – needed to merge three collections into one and already getting feedback that students wanted more silent study space.

    Worked with Facilities to open satellite spaces – outside library but managed by them and mediated by librarians shushing people – Kim’s not a fan of shushing but students want it! Lots of power, strong wifi, etc.

    Other part of strategy was to create a student study space app. Derek Whitehead was at shopping centre that had just installed a parking guidance system and realised was dealing with same problem that libraries have. Came back, talked to people, budgeted for it.

    With satellite spaces, marketing, and study space app, complaints dropped 81%.

    Platform was Blackboard mosaic. Used html5 so a webapp [good for cross-platform usability]. Can bookmark favourites, link to maps. Simple – built by an IT student on placement. Built on “Cognimatics TrueView Counter system” cameras placed above entrance to area to detect when people move in and out, to create a count. REST API polls this once a minute, updates MySQL database with a count. (Cameras set back to 0 at midnight each day to compensate for any inaccuracy.)

    Not aware of other universities doing this. [I think places in the US have? Also University of Canterbury (used to?) have a similar system but based on who’s logged in in computer workroom.]

    Think there are broader applications – could put it on different rooms to indicate availability – use in conjunction with timetables. At Swinburne if not being used for teaching then students can use it, so lots of possibilities. Could be useful for space utilisation generally.

    Some next-gen cameras can look at an area and count heads.

    Q: How did this come up, politically.
    A: Have a student rep group so worked with them, have checked in and will continue to survey if it’s working for them.

    Getting to a tipping point re use of space. Numbers through the gates dropping. First generation this year where they’ve come through schools with laptops throughout their career. Shift is about to happen so have to be very careful how we use campuses and spaces.

    Where does Campus Learning become Online Learning? #theta2015 #campus

    Where does Campus Learning become Online Learning? Emerging trends in learning space design and usage (abstract)
    David Gunsberg, Lori Bowe, Richard Kerr and Merv Connell

    (A panel discussion)

    What makes a good space?
    Julie: As academic everything needs to have been done so I can just teach and inspire students.
    Lori: Students telling us needs to be adapted. So build barns, fill with props so students can adapt it to what they need.
    Merv: Want to be the support person giving away $100 notes. “So the students want X, the academic wants it to work as it did yesterday, project mgmt add their constraints.”
    Richard: Have to design for technologies that are constantly changing while building cycles take years. Flexibility implies moving seats around; adaptability requires moving things completely around. Typically buildings have small footprints which are harder to adapt.

    Where is the line between on campus and online?
    Julie: Can be teaching students in Tasmania on their lunchbreak or overseas on secondment and still studying. Want lectures to even be translated – foreign languages, Sign. An on-campus experience is great – provide simulated experience by bringing outside in.

    Are you designing spaces for flipped etc?
    Merv: Yes, but as Richard said, long lead-cycle. Get stuck in the middle of conflicting needs.
    Richard: There’s no single pedagogy. Academics have different pedagogies.
    Julie: Teaching = Tell them, show them, let them show you. But also lots of academics want to research but get forced to teach and need help.

    Is recording a lecture and putting it online genuine online learning?
    Julie: We’re far behind. Need to rethink – recording powerpoints isn’t online learning. Need to put an hour-long lecture into 8minutes or less – can be exciting, thinking “Maybe I can do it! Maybe I can do a picture instead of 10,000 words.” Keep them interested, that’s all they need.
    Lori: Students learn online on a daily basis. They’ll take something designed for A and make it do B/C/D/E/F. Focus group at Griffith about bad teaching: are you going to show up? No, will ask someone who was there for the info and get a double-shift at work.
    Merv: From same focus group: student says can find info elsewhere so only reason they come to class is to fill out paperwork. Despite that, they like being there – when appropriate / convenient for them.
    Julie: Putting slides online can be a start – can make you think what you could do better. Also realising need to work more as a team with IT people (who shouldn’t be in a different location).
    [Linkage here to Forging productive partnerships between learning, teaching, library, and IT]

    Lori: Students want to leave their mark. If they say “I want red beanbags” and we get them that means a lot to them.
    Merv: Whatever we do, make it as easy as possible. They’ll find the easiest way, often we just need to get out of the way.

    Partnerships between learning, teaching, library, and IT #theta2015

    Forging productive partnerships between learning, teaching, library, and IT (abstract)
    Caroline Steel and Elizabeth Coulter

    Current university context – slow response to rapid tech change, constrained budgets, etc – how can we afford not to collaborate.

    CAUDIT top issues survey found “Supporting and enabling teaching and learning” at top of list. So sent out own survey (15 L&T respondents, 7 IT, 2 library)

    Asked about

    • perceptions of role of IT in supporting T&L – plurality thought valued business partner (many still thought: IT expert; gatekeeper; administrator).
    • Perception that IT and T&L working collaboratively – “to a moderate extent”
    • Perception that library and T&L working collaboratively – largely “to a moderate extent” but some “to a large extent”

    Enablers: need to trust each other; have clear roles; leaders that get along

    Barriers: territories; role ambiguities; funding models; lack of shared goals; different perspectives on institutional goals

    Strategies: need to “speak more than one language” and translate between different cultures.

    Ideal partnership: enabling leadership; shared goals; cross-functional working groups; valued/rewarded partnerships; encourage risk/innovation/experimentation

    Panel discussion:
    Q: Does a collaboration between these groups really matter?
    A: (Mark Gregory) Services we’ve long offered are now being offered in different ways. Need to move on, work together so don’t overlap / get in each other’s ways.
    A: (Wendy Abbott) Teaching has IT underpinning, library input; library has IT underpinning. Need to collaborate to avoid wasting effort/time
    A: (Caroline Steel) Often not aware of what each is doing. Often doing same things as each other.

    Q: What’s gone well?
    A: (Wendy) Revamping curriculum – team involving academic lead, IT staff, library staff, T&L staff. Everyone brought expertise in, worked as a team from beginning instead of pulling in people halfway through. Required broad experience so librarian had to know pedagogy/IT skills etc: demonstrated much expertise that impressed the academic on the team. Builds trust and understanding of benefits.
    A: (Caroline) A community of practice put together – recognised incredible schools at other universities. Started with teleconference then a get-together. Has grown to all Australasia and across sectors.

    Q: (audience) Many library spaces are more collaborative now – where does IT have most impact here?
    A: (Wendy) Mostly behind scenes, working with library staff to meet requirements. Also customer service assisting students with basic enquiries. Core skills for all staff whether IT or library to support users.

    Q: What are most important aspects of change?
    A: (Caroline) Leadership: acknowledge we have different cultures across institution(s). Needs to come from top that we value these all so can set combined goals. Students don’t know who’s behind a service, need fantastic experience regardless.

    Q: (audience) Do partnerships help academics create content or confuse them?
    A: (Caroline) Very confusing. Get phone calls about how to install TurnItIn and don’t know who to put them onto. Want to make it easy for teachers.
    Q: (audience) So need to set role definitions?
    A: (Caroline) Work in progress
    A: (Mark) If started with blank sheet of paper today wouldn’t create three separate organisations – instead a “blurry sort of service organisation”.

    Q: (audience) As leaders how do you motivate a reluctant collaborator?
    A: (Wendy) Organisations create silos. Once people see benefits, that’s what encourages them.

    Q: What do we need to do next?
    A: (Caroline) Encourage risk – need culture and reward system to break free of current system.
    A: (Mark) Anything innovative looks like play therefore not serious. Need to push past this. Treat risk as appropriate cost and appropriate action.
    A: (Wendy) Need to get senior management to understand that sometimes things will fail.

    Take part in the survey

    264 students, 8 courses, 792 hi-def video streams, no walls #theta2015

    264 students, eight courses, 792 High Definition video streams, no walls (abstract)
    Jim Cook and Warren French

    New Charles Perkins Centre at University of Sydney – opened in 2014, multi-faculty research and learning hub focused on obesity, diabetes and cardio-vascular disease. Includes IT, engineering, maths as well as medicine, public health and vet science.

    The X-lab is a wet (ie hands-on) teaching lab with 264 seats – about the size of a football field. Wanted to maximise space utilisation. ‘X’ represents cross-faculty teaching paradigm. A way of teachers learning from each other. Needed completely innovative approach to enable up to 8 classes to operate in same space without disturbing each other. “No walls” reflects this and collaborative process between ICT and teaching academics.

    Teaching stations around the edge: based on standard touchscreen AV-control system so teachers would be familiar with the idea. Just added features. Select what lab benches (anywhere in room) will be teaching to, for routing of video/audio. Select video source for student screen display (PC, laptop, facecam, camera for objects/notes, or microscope). Integrated highly-directional speaker technology – so only students at appropriate bench will hear it.

    Directional speakers mean “We used to shout at students now we talk to students” (quote from lecturer). Minimises impact of classes being taught next to each other.

    Has been a supreme success. Lecturers have found “instructions provided in live or video format were easier to follow and facilitated engagement”.

    Lessons learned:

    • Worked well: stakeholder engagement and inclusivity; leveraging TechLab; leverage existing AV standards so easy for lecturers; dedicated relationship manager and program manager team
    • Power of prototype: thought they were just shaking out the bugs, but even better achieved joint ownership between academics and ICT so they became the ones to sell it – word of mouth
    • Would do stress testing to avoid first day anxiety
    • Would put more focus on support funding in business-as-usual. Had to use project funds to pay for support staff, took much haggling to get a sustainable support model.