24/7 Instant Feedback on Writing: Integrating AcaWriter into your TeachingSimon Buckingham Shum
https://cic.uts.edu.au/events/24-7-instant-feedback-on-writing-integrating-acawriter-into-your-teaching-2-dec/
What difference could instant feedback on draft writing make to your students? Over the last 5 years the Connected Intelligence Centre has been developing and piloting an automated feedback tool for academic writing (AcaWriter), working closely with academics across several faculties. The research portal documents how educators and students engage with this kind of AI, and what we’ve learnt about integrating it into teaching and assessment.
In May, AcaWriter was launched to all students along with an information portal. Now we want to start upskilling academics, tutors and learning technologists, in a monthly session to give you the chance to learn about AcaWriter, and specifically, good practices for integrating it into your subject. CIC can support you, and we hope you may be interested in co-designing publishable research.
AcaWriter handles several different ‘genres’ of writing, including reflective writing (e.g. a Reflective Essay; Reflective Blogs/Journals on internships/work-placements) and analytical writing (e.g. Argumentative Essays; Research Abstracts & Introductions).
This briefing will demo AcaWriter, and show it can be embedded in student activities. We hope this sparks ideas for your own teaching, which we can discuss in more detail.
LAK19 - Towards Value-Sensitive Learning Analytics DesignBodong Chen
LAK19 Full Paper. Abstract: To support ethical considerations and system integrity in learning analytics, this paper introduces two cases of applying the Value Sensitive Design methodology to learning analytics design. The first study applied two methods of Value Sensitive Design, namely stakeholder analysis and value analysis, to a conceptual investigation of an existing learning analytics tool. This investigation uncovered a number of values and value tensions, leading to design trade-offs to be considered in future tool refinements. The second study holistically applied Value Sensitive Design to the design of a recommendation system for the Wikipedia WikiProjects. To proactively consider values among stakeholders, we derived a multi-stage design process that included literature analysis, empirical investigations, prototype development, community engagement, iterative testing and refinement, and continuous evaluation. By reporting on these two cases, this paper responds to a need of practical means to support ethical considerations and human values in learning analytics systems. These two cases demonstrate that Value Sensitive Design could be a viable approach for balancing a wide range of human values, which tend to encompass and surpass ethical issues, in learning analytics design.
Deliberative Democracy as a strategy for co-designing university ethics aro...Simon Buckingham Shum
Buckingham Shum, S. (2021). Deliberative Democracy as a strategy for co-designing university ethics around analytics and AI in education. AARE2021: Australian Association for Research in Education, 28 Nov. – 2 Dec. 2021
Deliberative Democracy as a Strategy for Co-designing University Ethics Around Analytics and AI in Education
Simon Buckingham Shum
Connected Intelligence Centre, University of Technology Sydney
Universities can see an increasing range of student and staff activity as it becomes digitally visible in their platform ecosystems. The fields of Learning Analytics and AI in Education have demonstrated the significant benefits that ethically responsible, pedagogically informed analysis of student activity data can bring, but such services are only possible because they are undeniably a form of “surveillance”, raising legitimate questions about how the use of such tools should be governed.
Our prior work has drawn on the rich concepts and methods developed in human-centred system design, and participatory/co-design, to design, deploy and validate practical tools that give a voice to non-technical stakeholders (e.g. educators; students) in shaping such systems. We are now expanding the depth and breadth of engagement that we seek, looking to the Deliberative Democracy movement for inspiration. This is a response to the crisis in confidence in how typical democratic systems engage citizens in decision making. A hallmark is the convening of a Deliberative Mini-Public (DMP) which may work at different scales (organisation; community; region; nation) and can take diverse forms (e.g. Citizens’ Juries; Citizens’ Assemblies; Consensus Conferences; Planning Cells; Deliberative Polls). DMP’s combination of stratified random sampling to ensure authentic representation, neutrally facilitated workshops, balanced expert briefings, and real support from organisational leaders, has been shown to cultivate high quality dialogue in sometimes highly conflicted settings, leading to a strong sense of ownership of the DMP's final outputs (e.g. policy recommendations).
This symposium contribution will describe how the DMP model is informing university-wide consultation on the ethical principles that should govern the use of analytics and AI around teaching and learning data.
Learning Analytics for Holistic Improvement ALASI 2014Ruth Deakin Crick
Presentation on holistic improvement and learning analytics using hierarchical proess modellling at the Australian Learning Analytics Summer School 2014
Theory-based Learning Analytics: Notes & Examples from Learning & Sensemaking
Learning Analytics & Knowledge 2011, Banff, Canada
Simon Buckingham Shum
Knowledge Media Institute
Open University UK
http://simon.buckinghamshum.net
http://open.edu
@sbskmi
On Social Learning, Sensemaking Capacity, and Collective IntelligenceSimon Buckingham Shum
We are transitioning to an era in which the authority of previously dependable sources of understanding is increasingly called into question, in tandem with societal and global challenges that require new ways of thinking. Correspondingly, hard questions are now being asked about our education system’s adequacy. Our challenge is to create the infrastructures in which “K–Life” learners develop the capacities to thrive personally, and as citizens, under unprecedented conditions of uncertainty. The capacity to make sense of complex personal, intellectual, and social dilemmas is what we need to foster in our children, graduates, researchers, and employees: these skills can be summarized as “social learning.” This session will describe a range of R&D initiatives to illustrate socio-technical responses to these challenges, including intensively collaborative projects like the SocialLearn Project, the OLnet Project, the Compendium Institute, and the Learning Warehouse.
PARC: Apr 1, 2011
Contested Collective Intelligence: Resilience, Complexity & Sensemaking
Simon Buckingham Shum & Anna De Liddo
Knowledge Media Institute, Open Learning Network Project
Open University UK
http://people.kmi.open.ac.uk/sbs
http://people.kmi.open.ac.uk/anna
ABSTRACT
To thrive, organizational entities (learning communities; teams of analysts; formal companies) must make sense of a complex, changing environment. Our interest is in how sociotechnical “collective intelligence” infrastructures may augment this capacity. We are seeking conceptual lenses that illuminate this challenge, and draw ideas from resilience thinking, sensemaking, and complexity science. We propose that these motivate the concept of Contested Collective Intelligence (CCI), and give examples of how the Cohere platform is being designed in response to these requirements. This is a social/semantic web annotation and knowledge mapping environment, with tools for monitoring networks of ideas and generating novel analytics. We also report experimental integration with the Xerox Incremental Parser, in order to evaluate human+machine annotation of knowledge-level claims expressed through rhetorical moves in documents.
Simon Buckingham Shum is a Senior Lecturer and Associate Director (Technology) at the UK Open University’s Knowledge Media Institute (KMi), where he leads the Hypermedia Discourse Group. Following a PhD at U. York in HCI/Hypertext/Design Rationale (sponsored by Xerox EuroPARC) he has developed a human-centered computing perspective to the challenge of computer-supported sensemaking, reflected in the books Visualizing Argumentation and Knowledge Cartography. He co-founded the Compendium Institute and LearningEmergence.net. http://people.kmi.open.ac.uk/sbs
Anna De Liddo is a Research Associate in KMi, where she works with Simon on the Open Learning Network project (olnet.org), focusing on the design and development of a Collective Intelligence infrastructure for the Open Education Resources movement. She gained her PhD at Polytechnic of Bari, investigating ICT for Participatory Planning and Deliberation, after which she held a postdoctoral position in KMi evaluating human-centred argument mapping for Climate Change. http://people.kmi.open.ac.uk/anna
24/7 Instant Feedback on Writing: Integrating AcaWriter into your TeachingSimon Buckingham Shum
https://cic.uts.edu.au/events/24-7-instant-feedback-on-writing-integrating-acawriter-into-your-teaching-2-dec/
What difference could instant feedback on draft writing make to your students? Over the last 5 years the Connected Intelligence Centre has been developing and piloting an automated feedback tool for academic writing (AcaWriter), working closely with academics across several faculties. The research portal documents how educators and students engage with this kind of AI, and what we’ve learnt about integrating it into teaching and assessment.
In May, AcaWriter was launched to all students along with an information portal. Now we want to start upskilling academics, tutors and learning technologists, in a monthly session to give you the chance to learn about AcaWriter, and specifically, good practices for integrating it into your subject. CIC can support you, and we hope you may be interested in co-designing publishable research.
AcaWriter handles several different ‘genres’ of writing, including reflective writing (e.g. a Reflective Essay; Reflective Blogs/Journals on internships/work-placements) and analytical writing (e.g. Argumentative Essays; Research Abstracts & Introductions).
This briefing will demo AcaWriter, and show it can be embedded in student activities. We hope this sparks ideas for your own teaching, which we can discuss in more detail.
LAK19 - Towards Value-Sensitive Learning Analytics DesignBodong Chen
LAK19 Full Paper. Abstract: To support ethical considerations and system integrity in learning analytics, this paper introduces two cases of applying the Value Sensitive Design methodology to learning analytics design. The first study applied two methods of Value Sensitive Design, namely stakeholder analysis and value analysis, to a conceptual investigation of an existing learning analytics tool. This investigation uncovered a number of values and value tensions, leading to design trade-offs to be considered in future tool refinements. The second study holistically applied Value Sensitive Design to the design of a recommendation system for the Wikipedia WikiProjects. To proactively consider values among stakeholders, we derived a multi-stage design process that included literature analysis, empirical investigations, prototype development, community engagement, iterative testing and refinement, and continuous evaluation. By reporting on these two cases, this paper responds to a need of practical means to support ethical considerations and human values in learning analytics systems. These two cases demonstrate that Value Sensitive Design could be a viable approach for balancing a wide range of human values, which tend to encompass and surpass ethical issues, in learning analytics design.
Deliberative Democracy as a strategy for co-designing university ethics aro...Simon Buckingham Shum
Buckingham Shum, S. (2021). Deliberative Democracy as a strategy for co-designing university ethics around analytics and AI in education. AARE2021: Australian Association for Research in Education, 28 Nov. – 2 Dec. 2021
Deliberative Democracy as a Strategy for Co-designing University Ethics Around Analytics and AI in Education
Simon Buckingham Shum
Connected Intelligence Centre, University of Technology Sydney
Universities can see an increasing range of student and staff activity as it becomes digitally visible in their platform ecosystems. The fields of Learning Analytics and AI in Education have demonstrated the significant benefits that ethically responsible, pedagogically informed analysis of student activity data can bring, but such services are only possible because they are undeniably a form of “surveillance”, raising legitimate questions about how the use of such tools should be governed.
Our prior work has drawn on the rich concepts and methods developed in human-centred system design, and participatory/co-design, to design, deploy and validate practical tools that give a voice to non-technical stakeholders (e.g. educators; students) in shaping such systems. We are now expanding the depth and breadth of engagement that we seek, looking to the Deliberative Democracy movement for inspiration. This is a response to the crisis in confidence in how typical democratic systems engage citizens in decision making. A hallmark is the convening of a Deliberative Mini-Public (DMP) which may work at different scales (organisation; community; region; nation) and can take diverse forms (e.g. Citizens’ Juries; Citizens’ Assemblies; Consensus Conferences; Planning Cells; Deliberative Polls). DMP’s combination of stratified random sampling to ensure authentic representation, neutrally facilitated workshops, balanced expert briefings, and real support from organisational leaders, has been shown to cultivate high quality dialogue in sometimes highly conflicted settings, leading to a strong sense of ownership of the DMP's final outputs (e.g. policy recommendations).
This symposium contribution will describe how the DMP model is informing university-wide consultation on the ethical principles that should govern the use of analytics and AI around teaching and learning data.
Learning Analytics for Holistic Improvement ALASI 2014Ruth Deakin Crick
Presentation on holistic improvement and learning analytics using hierarchical proess modellling at the Australian Learning Analytics Summer School 2014
Theory-based Learning Analytics: Notes & Examples from Learning & Sensemaking
Learning Analytics & Knowledge 2011, Banff, Canada
Simon Buckingham Shum
Knowledge Media Institute
Open University UK
http://simon.buckinghamshum.net
http://open.edu
@sbskmi
On Social Learning, Sensemaking Capacity, and Collective IntelligenceSimon Buckingham Shum
We are transitioning to an era in which the authority of previously dependable sources of understanding is increasingly called into question, in tandem with societal and global challenges that require new ways of thinking. Correspondingly, hard questions are now being asked about our education system’s adequacy. Our challenge is to create the infrastructures in which “K–Life” learners develop the capacities to thrive personally, and as citizens, under unprecedented conditions of uncertainty. The capacity to make sense of complex personal, intellectual, and social dilemmas is what we need to foster in our children, graduates, researchers, and employees: these skills can be summarized as “social learning.” This session will describe a range of R&D initiatives to illustrate socio-technical responses to these challenges, including intensively collaborative projects like the SocialLearn Project, the OLnet Project, the Compendium Institute, and the Learning Warehouse.
PARC: Apr 1, 2011
Contested Collective Intelligence: Resilience, Complexity & Sensemaking
Simon Buckingham Shum & Anna De Liddo
Knowledge Media Institute, Open Learning Network Project
Open University UK
http://people.kmi.open.ac.uk/sbs
http://people.kmi.open.ac.uk/anna
ABSTRACT
To thrive, organizational entities (learning communities; teams of analysts; formal companies) must make sense of a complex, changing environment. Our interest is in how sociotechnical “collective intelligence” infrastructures may augment this capacity. We are seeking conceptual lenses that illuminate this challenge, and draw ideas from resilience thinking, sensemaking, and complexity science. We propose that these motivate the concept of Contested Collective Intelligence (CCI), and give examples of how the Cohere platform is being designed in response to these requirements. This is a social/semantic web annotation and knowledge mapping environment, with tools for monitoring networks of ideas and generating novel analytics. We also report experimental integration with the Xerox Incremental Parser, in order to evaluate human+machine annotation of knowledge-level claims expressed through rhetorical moves in documents.
Simon Buckingham Shum is a Senior Lecturer and Associate Director (Technology) at the UK Open University’s Knowledge Media Institute (KMi), where he leads the Hypermedia Discourse Group. Following a PhD at U. York in HCI/Hypertext/Design Rationale (sponsored by Xerox EuroPARC) he has developed a human-centered computing perspective to the challenge of computer-supported sensemaking, reflected in the books Visualizing Argumentation and Knowledge Cartography. He co-founded the Compendium Institute and LearningEmergence.net. http://people.kmi.open.ac.uk/sbs
Anna De Liddo is a Research Associate in KMi, where she works with Simon on the Open Learning Network project (olnet.org), focusing on the design and development of a Collective Intelligence infrastructure for the Open Education Resources movement. She gained her PhD at Polytechnic of Bari, investigating ICT for Participatory Planning and Deliberation, after which she held a postdoctoral position in KMi evaluating human-centred argument mapping for Climate Change. http://people.kmi.open.ac.uk/anna
Ed Tech Efficacy Symposium Working Group on Higher Education ResultsDr. Kristin Palmer
Results of 47 interviews with 54 educational technology decision makers in higher education institutions on their research practices and decision making for edtech. This presentation was presented on Wednesday, May 3, 2017 at the Ed Tech Efficacy Symposium in Washington, DC.
Carrying out Participatory Action Research in a time of global pandemicmgaved
The ARCLIGHT project approach to shifting to online and distant methods of carrying out a community mental health resilience project between the UK and Guyana in a time of pandemic, seeking to uphold the spirit of participatory action research methods. Talk presented at The Open University's Computers and Learning Research Group annual conference, CALRG2020, by Mark Gaved.
The EdTech Efficacy Research Symposium was held in May 2015. This presentation reviews lessons learned from the research in higher education working group. Results included networking with peers, conducting pilots and decision making strategies differ by organization type.
Digital Learning, Emerging Technologies, Abundant Data, and Pedagogies of CareGeorge Veletsianos
Keynote delivered at the Emerging Technologies in Authentic Learning Contexts Conference (Cape Town, South Africa), drawing links between my research on digital learning, emerging technologies, learner experiences, and the changing higher education landscape.
What can a MOOC do for you? An academic perspectiveJisc
Speaker: Momna Hejmadi, director of studies, University of Bath.
In this session you will learn about the unforeseen benefits, challenges and potential opportunities of leading a MOOC - ‘Inside Cancer’ - from an academic perspective.
The course, designed as a beginner’s guide to cancer genetics is open to anyone interested in understanding cancer without having studied biology at school or university. The course was adapted from a second year, campus-based undergraduate course that Momna Hejmadi teaches on, so it offered a perfect opportunity for students to gain real-life perspectives from the public. It also extended the learning space to a global community of learners from school pupils, health professionals to cancer-survivors.
In this session, Momna will share data on the impact of this course on learners and course developers.
What does the future of design for online learning look like? Emerging techno...George Veletsianos
These are the slides of an invited talk I gave at ICEM 2012. The session was described as follows: What will we observe if we take a long pause and examine the practice of online education today? What do emerging technologies, openness, Massive Open Online Courses, and digital scholarship tell us about the future that we are creating for learners, faculty members, and learning institutions? And what does entrepreneurial activity worldwide surrounding online education mean for the future of education and design? In this talk, I will discuss a number of emerging practices relating to online learning and online participation in a rapidly changing world and explain their implications for design practice. Emerging practices (e.g., open courses, researchers who blog, students who use social media to self-organize) can shape our teaching/learning practice and teaching/learning practice can shape these innovations. By examining, critiquing, and understanding these practices we will be able to understand potential futures for online learning and be better informed on how we can design effective and engaging online learning experiences. This talk will draw from my experiences and research on online learning, openness, and digital scholarship, and will present recent evidence detailing how researchers, learners, educators are creating, sharing, and negotiating knowledge and education online.
What are systems and how does this apply to school leadership Ruth Deakin Crick
A presentation about systems thinking and its application to school leadership. With thanks to Patrick Godfrey and David Blockley from the Systems Centre at Bristol.
Deriving value from analytics requires much more than purchasing technology. University of Kentucky's analytics journey utilized fostering a bottom-up emergent community of practice as well as top-down organizational maneuvers. This presentation shares different aspects of the University of Kentucky score.
Inclusive learning design for Online LearnersRichardM_Walker
This talk reflects on the key lessons learned from the University of York’s teaching experience during the pandemic, addressing flexible design and delivery of teaching to support the needs of a fragmented student, located on campus and off site / overseas across different time zones.
It recounts how we have refreshed our inclusive learning strategies in the light of the pivot to online learning delivery.
Ed Tech Efficacy Symposium Working Group on Higher Education ResultsDr. Kristin Palmer
Results of 47 interviews with 54 educational technology decision makers in higher education institutions on their research practices and decision making for edtech. This presentation was presented on Wednesday, May 3, 2017 at the Ed Tech Efficacy Symposium in Washington, DC.
Carrying out Participatory Action Research in a time of global pandemicmgaved
The ARCLIGHT project approach to shifting to online and distant methods of carrying out a community mental health resilience project between the UK and Guyana in a time of pandemic, seeking to uphold the spirit of participatory action research methods. Talk presented at The Open University's Computers and Learning Research Group annual conference, CALRG2020, by Mark Gaved.
The EdTech Efficacy Research Symposium was held in May 2015. This presentation reviews lessons learned from the research in higher education working group. Results included networking with peers, conducting pilots and decision making strategies differ by organization type.
Digital Learning, Emerging Technologies, Abundant Data, and Pedagogies of CareGeorge Veletsianos
Keynote delivered at the Emerging Technologies in Authentic Learning Contexts Conference (Cape Town, South Africa), drawing links between my research on digital learning, emerging technologies, learner experiences, and the changing higher education landscape.
What can a MOOC do for you? An academic perspectiveJisc
Speaker: Momna Hejmadi, director of studies, University of Bath.
In this session you will learn about the unforeseen benefits, challenges and potential opportunities of leading a MOOC - ‘Inside Cancer’ - from an academic perspective.
The course, designed as a beginner’s guide to cancer genetics is open to anyone interested in understanding cancer without having studied biology at school or university. The course was adapted from a second year, campus-based undergraduate course that Momna Hejmadi teaches on, so it offered a perfect opportunity for students to gain real-life perspectives from the public. It also extended the learning space to a global community of learners from school pupils, health professionals to cancer-survivors.
In this session, Momna will share data on the impact of this course on learners and course developers.
What does the future of design for online learning look like? Emerging techno...George Veletsianos
These are the slides of an invited talk I gave at ICEM 2012. The session was described as follows: What will we observe if we take a long pause and examine the practice of online education today? What do emerging technologies, openness, Massive Open Online Courses, and digital scholarship tell us about the future that we are creating for learners, faculty members, and learning institutions? And what does entrepreneurial activity worldwide surrounding online education mean for the future of education and design? In this talk, I will discuss a number of emerging practices relating to online learning and online participation in a rapidly changing world and explain their implications for design practice. Emerging practices (e.g., open courses, researchers who blog, students who use social media to self-organize) can shape our teaching/learning practice and teaching/learning practice can shape these innovations. By examining, critiquing, and understanding these practices we will be able to understand potential futures for online learning and be better informed on how we can design effective and engaging online learning experiences. This talk will draw from my experiences and research on online learning, openness, and digital scholarship, and will present recent evidence detailing how researchers, learners, educators are creating, sharing, and negotiating knowledge and education online.
What are systems and how does this apply to school leadership Ruth Deakin Crick
A presentation about systems thinking and its application to school leadership. With thanks to Patrick Godfrey and David Blockley from the Systems Centre at Bristol.
Deriving value from analytics requires much more than purchasing technology. University of Kentucky's analytics journey utilized fostering a bottom-up emergent community of practice as well as top-down organizational maneuvers. This presentation shares different aspects of the University of Kentucky score.
Inclusive learning design for Online LearnersRichardM_Walker
This talk reflects on the key lessons learned from the University of York’s teaching experience during the pandemic, addressing flexible design and delivery of teaching to support the needs of a fragmented student, located on campus and off site / overseas across different time zones.
It recounts how we have refreshed our inclusive learning strategies in the light of the pivot to online learning delivery.
Workshop run at the European Conference for e-Learning 2015 (ECEL 2015) at the University of Hertfordshire, UK. The workshop included an introduction of both learning analytics and learning design, as well as an exploration of how these could be employed in MOOCs. Some of the group work was focused on the Agincourt MOOC run by the University of Southampton on the FutureLearn platform.
Aligning Learning Analytics with Classroom Practices & NeedsSimon Knight
The Learning Analytics Research Network (LEARN) invites you to join us for a talk about the exciting ways in which the University of Technology Sydney is using participatory design to augment existing classroom practices with learning analytics. Simon Knight, a LEARN Visiting Scholar from the University of Technology Sydney, will introduce a variety of projects, including their work developing analytics to support student writing.
Come meet others at NYU interested in learning analytics while learning from the examples of leading work in Australia. A light lunch will be served and the talk will be followed by a short Q&A. RSVP is required.
About Simon Knight
Simon Knight is a lecturer at the University of Technology Sydney in the Faculty of Transdisciplinary Innovation. His research investigates how people find and evaluate evidence, particularly in the context of learning and educator practices. Dr Knight received his Bachelor’s degree in Philosophy and Psychology from the University of Leeds before completing a teacher education program and Philosophy of Education MA at the UCL Institute of Education. Following teaching high school social sciences, Dr Knight completed an MPhil in Educational Research Methods at Cambridge, and PhD in Learning Analytics at the UK Open University.
About Simon’s Talk
How do we make use of data about our students to support their learning, and where does learning analytics fit into that? Educators are increasingly asked to work with data and technologies such as learning analytics to support and provide evidence of student learning. However, what learning analytics developers should design for, and how educators will implement analytics, is unclear. Learning analytics risks the same levels of low uptake and implementation as many other educational technologies if they do not align with educator practice and needs. How then do we tackle this gap, to support and develop technologies that are implemented in practice, for impact on learning?
At the University of Technology Sydney, we have taken a participatory design based approach to designing and implementing learning analytics in practice, and understanding their impact. In our work we have identified existing practices with which learning analytics may be aligned to augment them. This talk introduces some of these projects, particularly drawing on our work in developing analytics to support student writing (writing analytics), giving examples of how analytics were aligned with existing pedagogic practices to support learning. Through this augmentation, supported by design-based approaches, we argue we can develop research and practice in tandem.
Open, online course in Professional EthicsMichael Rowe
Description of the design and implementation of an open, online course in Professional Ethics, that I ran during August 2013 in the Department of Physiotherapy, University of the Western Cape
BA (HONS) FASHION BUYING AND MERCHANDISING RESE.docxmadlynplamondon
BA (HONS) FASHION BUYING AND MERCHANDISING
RESEARCH METHODS FOR BUYING AND MERCHANDISING
Unit code FU001443
Credit rating 20
Stage 2
Level 5
Unit Leader Stephanie Liberman ([email protected])
Teaching team Stephanie Liberman, Lois Baile, Christopher Hazelhurst
Timetable Accessible via UAL Timetables
Academic Year 2018/19
INTRODUCTION
This unit gives you the opportunity to further develop your practical research skills in order to lay the
foundations for future self-directed projects later this stage and in the final stage. Academic
underpinning, evaluative thought processes and problem solving skills will be key in demonstrating that
you have the required tools to undertake an in depth critical review of a specific area within the fashion
business environment. A full range of primary research methods such as focus groups, interviews and
questionnaires will be designed and evaluated. There will be a more detailed and extensive
investigation of the secondary resources available to you through the College and University library and
e-library. You will be shown how to manage the research process and how to analyse and present your
research findings in the context of the fashion industry.
ASSESSMENT AND PROJECT BRIEF
• An individual 3,000 word report.
In this report you are required to complete a consumer research proposal and conduct qualitative and
quantitative research to assess consumer attitudes to a specific commercial issue in the fashion retail
industry. Your topic will be situated within one of the following areas of interest, which you will
formatively sign off with your Tutor in week 3.
1. Range development: how UK brands expand overseas and how this affects the product ranges.
2. Researching consumer attitudes: investigating Ethical and Sustainable concepts for retail.
3. Researching the Luxury Brand experience: how brands present their image in the omni-channel
marketplace (stores, online, outlets).
The report will allow you to study a consumer demographic that is of interest to you and will evidence
your ability to academically and commercially identify the aims and objective of a piece of individual
research, supported by a robust literature review and evaluation of secondary data. The research
methodology proposal will show your understanding and application of an appropriate research strategy
and analysis methods within an ethical framework. You will design, conduct and analyse a small
quantitative and qualitative study. To conclude the report you should include an evaluation of data from
the study, recommend improvements and identify the limitations of the study approach.
Indicative structure and approximate word count:
1. A topic defined by means of a working title or research question.
2. An Abstract – not included in the word count.
3. List of contents and tables – not included in the word count.
4. Rationale and context for the researc.
The Generative AI System Shock, and some thoughts on Collective Intelligence ...Simon Buckingham Shum
Keynote Address: Team-based Learning Collaborative Asia Pacific Community (TBLC-APC) Symposium (“Impact of emerging technologies on learning strategies”) 8-9 February 2024, Sydney https://tbl.sydney.edu.au
Slides from my contribution to the panel convened by Jeremy Roschelle at the International Society for the Learning Sciences: Engaging Learning Scientists in Policy Challenges: AI and the Future of Learning
ICQE20: Quantitative Ethnography Visualizations as Tools for ThinkingSimon Buckingham Shum
Slides for this keynote talk to the 2nd International Conference on Quantitative Ethnography
http://simon.buckinghamshum.net/2021/02/icqe2020-keynote-qe-viz-as-tools-for-thinking/
An introduction to argumentation for UTS:CIC PhD students (with some Learning Analytics examples, but potentially of wider interest to students/researchers)
Webinar: Learning Informatics Lab, University of Minnesota
Replay the talk: https://youtu.be/dcJZeDIMr2I
Learning Informatics
AI • Analytics • Accountability • Agency
Simon Buckingham Shum
Professor of Learning Informatics
Director, Connected Intelligence Centre
University of Technology Sydney
Abstract:
“Health Informatics”. “Urban Informatics”. “Social Informatics”. Informatics offers systemic ways of analyzing and designing the interaction of natural and artificial information processing systems. In the context of education, I will describe some Learning Informatics lenses and practices which we have developed for co-designing analytics and AI with educators and students. We have a particular focus on closing the feedback loop to equip learners with competencies to navigate a complex, uncertain future, such as critical thinking, professional reflection and teamwork. En route, we will touch on how we build educators’ trust in novel tools, our design philosophy of “embracing imperfection” in machine intelligence, and the ways that these infrastructures embody values. Speaking from the perspective of leading an institutional innovation centre in learning analytics, I hope that our experiences spark productive reflection around as the UMN Learning Informatics Lab builds its program.
Biography:
Simon Buckingham Shum is Professor of Learning Informatics at the University of Technology Sydney, where he serves as inaugural director of the Connected Intelligence Centre. CIC is a transdisciplinary innovation centre, using analytics to provide new insights for university teams, with particular expertise in educational data science. Simon’s career-long fascination with software’s ability to make thinking visible has seen him active in communities including Computer-Supported Cooperative Work, Hypertext, Design Rationale, Scholarly Publishing, Semantic Web, Computational Argumentation, Educational Technology and Learning Analytics. The challenge of visualizing contested knowledge has produced several books: Visualizing Argumentation, Knowledge Cartography, and Constructing Knowledge Art. He has been active over the last decade in shaping the field of Learning Analytics, co-founding the Society for Learning Analytics Research, and catalyzing several strands: Social Learning Analytics, Discourse Analytics, Dispositional Analytics and Writing Analytics. http://Simon.BuckinghamShum.net
Despite AI’s potential for beneficial use, it creates important risks for Australians. AI, big data, and AI-informed decision making can cause exclusion, discrimination, skill loss, and economic impact; and can affect privacy, security of critical infrastructure and social well-being. What types of technology raise particular human rights concerns? Which human rights are particularly implicated?
Abstract: The emerging configuration of educational institutions, technologies, scientific practices, ethics policies and companies can be usefully framed as the emergence of a new “knowledge infrastructure” (Paul Edwards). The idea that we may be transitioning into significantly new ways of knowing – about learning and learners, teaching and teachers – is both exciting and daunting, because new knowledge infrastructures redefine roles and redistribute power, raising many important questions. What should we see when open the black box powering analytics? How do we empower all stakeholders to engage in the design process? Since digital infrastructure fades quickly into the background, how can researchers, educators and learners engage with it mindfully? This isn’t just interesting to ponder academically: your school or university will be buying products that are being designed now. Or perhaps educational institutions should take control, building and sharing their own open source tools? How are universities accelerating the transition from analytics innovation to infrastructure? Speaking from the perspective of leading an institutional innovation centre in learning analytics, I hope that our experiences designing code, competencies and culture for learning analytics sheds helpful light on these questions.
Towards Collaboration Translucence: Giving Meaning to Multimodal Group DataSimon Buckingham Shum
Vanessa Echeverria, Roberto Martinez-Maldonado, and Simon Buck- ingham Shum.. 2019. Towards Collaboration Translucence: Giving Meaning to Multimodal Group Data. In Proceedings of ACM CHI conference (CHI’19). ACM, New York, NY, USA, Paper 39, 16 pages. https://doi.org/10.1145/3290605.3300269
Collocated, face-to-face teamwork remains a pervasive mode of working, which is hard to replicate online. Team members’ embodied, multimodal interaction with each other and artefacts has been studied by researchers, but due to its complexity, has remained opaque to automated analysis. However, the ready availability of sensors makes it increasingly affordable to instrument work spaces to study teamwork and groupwork. The possibility of visualising key aspects of a collaboration has huge potential for both academic and professional learning, but a frontline challenge is the enrichment of quantitative data streams with the qualitative insights needed to make sense of them. In response, we introduce the concept of collaboration translucence, an approach to make visible selected features of group activity. This is grounded both theoretically (in the physical, epistemic, social and affective dimensions of group activity), and contextually (using domain-specific concepts). We illustrate the approach from the automated analysis of healthcare simulations to train nurses, generating four visual proxies that fuse multimodal data into higher order patterns.
Panel held at LAK13: 3rd International Conference on Learning Analytics & Knowledge
http://simon.buckinghamshum.net/2013/03/lak13-edu-data-scientists-scarce-breed
Educational Data Scientists: A Scarce Breed
The Educational Data Scientist is currently a poorly understood, rarely sighted breed. Reports vary: some are known to be largely nocturnal, solitary creatures, while others have been reported to display highly social behaviour in broad daylight. What are their primary habits? How do they see the world? What ecological niches do they occupy now, and will predicted seismic shifts transform the landscape in their favour? What survival skills do they need when running into other breeds? Will their numbers grow, and how might they evolve? In this panel, the conference will hear and debate not only broad perspectives on the terrain, but will have been exposed to some real life specimens, and caught glimpses of the future ecosystem.
Keynote Address, International Conference of the Learning Sciences, London Festival of Learning
Transitioning Education’s Knowledge Infrastructure:
Shaping Design or Shouting from the Touchline?
Abstract: Bit by bit, a data-intensive substrate for education is being designed, plumbed in and switched on, powered by digital data from an expanding sensor array, data science and artificial intelligence. The configurations of educational institutions, technologies, scientific practices, ethics policies and companies can be usefully framed as the emergence of a new “knowledge infrastructure” (Paul Edwards).
The idea that we may be transitioning into significantly new ways of knowing – about learning and learners – is both exciting and daunting, because new knowledge infrastructures redefine roles and redistribute power, raising many important questions. For instance, assuming that we want to shape this infrastructure, how do we engage with the teams designing the platforms our schools and universities may be using next year? Who owns the data and algorithms, and in what senses can an analytics/AI-powered learning system be ‘accountable’? How do we empower all stakeholders to engage in the design process? Since digital infrastructure fades quickly into the background, how can researchers, educators and learners engage with it mindfully? If we want to work in “Pasteur’s Quadrant” (Donald Stokes), we must go beyond learning analytics that answer research questions, to deliver valued services to frontline educational users: but how are universities accelerating the analytics innovation to infrastructure transition?
Wrestling with these questions, the learning analytics community has evolved since its first international conference in 2011, at the intersection of learning and data science, and an explicit concern with those human factors, at many scales, that make or break the design and adoption of new educational tools. We are forging open source platforms, links with commercial providers, and collaborations with the diverse disciplines that feed into educational data science. In the context of ICLS, our dialogue with the learning sciences must continue to deepen to ensure that together we influence this knowledge infrastructure to advance the interests of all stakeholders, including learners, educators, researchers and leaders.
Speaking from the perspective of leading an institutional analytics innovation centre, I hope that our experiences designing code, competencies and culture for learning analytics sheds helpful light on these questions.
Kirsty Kitto, Simon Buckingham Shum, and Andrew Gibson. (2018). Embracing Imperfection in Learning Analytics. In Proceedings of LAK18: International Conference on Learning Analytics and Knowledge, March 5–9, 2018, Sydney, NSW, Australia, pp.451-460. (ACM, New York, NY, USA). https://doi.org/10.1145/3170358.3170413
Open Access: http://simon.buckinghamshum.net/2018/01/embracing-imperfection-in-learning-analytics
Abstract: Learning Analytics (LA) sits at the confluence of many contributing disciplines, which brings the risk of hidden assumptions inherited from those fields. Here, we consider a hidden assumption derived from computer science, namely, that improving computational accuracy in classification is always a worthy goal. We demonstrate that this assumption is unlikely to hold in some important educational contexts, and argue that embracing computational “imperfection” can improve outcomes for those scenarios. Specifically, we show that learner-facing approaches aimed at “learning how to learn” require more holistic validation strategies. We consider what information must be provided in order to reasonably evaluate algorithmic tools in LA, to facilitate transparency and realistic performance comparisons.
Opening to the inaugural workshop on Learning Analytics in Schools held at LAK18: International Conference on Learning Analytics & Knowledge, Sydney. http://lak18.solaresearch.org
Prof. Simon Buckingham Shum
Prof. Ruth Deakin Crick
Summer@UTS Workshop, 8th Feb. 2018
Connected Intelligence Centre
https://utscic.edu.au/event/resilience-complexity
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
March 2021 • 24/7 Instant Feedback on Writing: Integrating AcaWriter into your Teaching
1. UTS CRICOS 00099F
24/7 Instant Feedback on Writing:
Integrating AcaWriter into your Teaching
Simon Buckingham Shum (Connected Intelligence Centre)
Cherie Lucas (School of Pharmacy, Graduate School of Health)
Monthly briefing: 3rd Thursday, 3.30pm
3. AGENDA
• Introduction to AcaWriter (10 min)
• Learning Context 1 (Law Essay & Business Report) (10 min)
• Learning Context 2 (Research Abstract) (5 min)
• Learning Context 3 (Critical Reflection on practice) (10 min)
• Hands-on activity (10 min)
• Sharing and Discussion (10 min)
• Follow up with us to take the next step…
UTS CIC 3
4. AcaWriter now a UTS-wide tool
May 2020 announcement to students:
UTS CIC 4
https://www.uts.edu.au/current-students/news/get-instant-feedback-your-academic-writing
7. AcaWriter aims to help…
• Students need precise, timely feedback on academic writing
to learn how to ‘make their thinking visible’
• Humanly impossible to provide that to all students, 24/7
• AcaWriter is a website providing instant formative feedback
(not grading) on “rhetorical moves” in writing
• Two types of writing genres are supported
1. Analytical Writing
e.g. Essay, Research Paper Introduction or Abstract
2. Reflective Writing
e.g. Learning Journal, Reflective Essay, Project Review
UTS CIC 7
8. Rhetorical moves in analytical writing
A rhetorical move is “a discoursal or rhetorical unit that performs a coherent
communicative function in a written or spoken discourse” (Swales, 2004).
UTS CIC 8
10. UTS CIC 10
Shibani, A., Knight, S. and Buckingham Shum, S. (2019). Contextualizable Learning Analytics Design: A Generic Model, and Writing Analytics Evaluations. Proc. 9th
International Conference on
Learning Analytics & Knowledge (LAK19). ACM Press, NY, pp. 210-219. DOI: https://doi.org/10.1145/3303772.3303785. Eprint: https://tinyurl.com/lak19clad
How to integrate AcaWriter into your course?
25. 25
Promoting deeper engagement with the feedback
5) Spend some time working on the soft copy of your
report in the AcaWriter tool, adjusting your report and
re-run the AcaWriter analysis. What effect did your
changes have in on the feedback from AcaWriter?
6) After using AcaWriter what changes did you/will you
make to your report?
26. Accounting Writing Activity
UTS CIC 26
Week Activity
Week 1 Homework Online activity
Week 2 Class exercise – Peer discussion
Week 3 Submitting their draft report
Week 4 Self-evaluation of draft report (with AcaWriter
feedback)
Week 5, Week 6 Peer feedback (optional) and working on final report
Week 7 Report submission
36. Gibson, A., Aitken, A., Sándor, Á., Buckingham Shum, S., Tsingos-Lucas, C. and Knight, S. (2017). Reflective Writing Analytics for Actionable Feedback. Proceedings of 7th
International Conference on Learning Analytics & Knowledge, March 13-17, 2017, Vancouver, BC, Canada. (ACM Press). DOI: http://dx.doi.org/10.1145/3027385.3027436
Learning reflective writing:
Distillation of theory and pedagogy into a framework
37. Learning reflective writing:
Simplification of framework à a visual language
Gibson, A., Aitken, A., Sándor, Á., Buckingham Shum, S., Tsingos-Lucas, C. and Knight, S. (2017). Reflective Writing Analytics for Actionable Feedback. Proceedings of 7th
International Conference on Learning Analytics & Knowledge, March 13-17, 2017, Vancouver, BC, Canada. (ACM Press). DOI: http://dx.doi.org/10.1145/3027385.3027436
38. Information design + Interface design
The key to automated annotations of the reflection
41. Elements of Reflection – How Summative Rubric is related to
Formative Feedback prompted by AcaWriter?
Stages of Reflection1
Stage 1. Returning to the event (Describe incident) CONTEXT
Stage 2. Attending to Feelings (AcaWriter: Blue Square prompt, words associated with strong feelings, also includes
reactions and thoughts) CONTEXT
Stage 3. Association (AcaWriter: Pink Circle prompt Challenges in New Knowledge learned) CHALLENGE
Stage 4. Integration (Bridging the gap; AcaWriter Expressions of self-critique) CHALLENGE
Stage 5. Validation (AcaWriter: Beliefs, learning knowledge, Depth: internalisation) CHALLENGE
Stage 6. Appropriation Why you have these beliefs? (AcaWriter: Bold writing personally applied) CHALLENGE
Stage 7. Outcomes of reflection (AcaWriter: Triangle prompt and Green Writing for self-critique: Knowledge leads to
change in perspective, eg new strategy, tool CHANGE
1. Boud D, Keough R, Walker D. Promoting reflection in learning: a model. Reflection: Turning Experience into Learning. London Kogan Page : NY, Nicols Pub: 1985:18-40
41
43. Co-design feedback (Contd..)
• The feedback template consists of a set of rules,
which will trigger feedback device to students given
the presence or absence of particular writing
analytics features.
• An example of co-designed feedback rules in
pharmacy. For a given feature (col.1), we
considered what should be said to the student if it
appeared (col.2) or was missing (col.3). More
complex patterns can be defined.
43
44. Example student feedback
“It prompts you into developing those reflective ideas. ..you can only go so far on your own” 1
“It makes you think of things that you normally would disregard” 1
“because it (the feedback) was in front of me, I could see what I was thinking” 1
“Building self-confidence because it seems to provide “clarity” of your thoughts and reasoning” and “a
better understanding of yourself “ 1
“makes you discover things not only about things that you’re doing but things about yourself that you really
never thought of” 1
Utilising AW makes students more confident with writing submissions (pretest 3.2, posttest 3.7, p=0.05) 2
“Prompted me to follow through with the reflection to the last step of the process - I had written about my
thoughts and feelings, discussed challenges, but had not followed through with reflecting on how this
can lead to change” 3
44
1 Lucas C, Buckingham Shum S, Liu M, Bebawy M. Implementing AcaWriter as a novel strategy to support pharmacy students’ reflective practice
in scientific research. Am J Pharm Edu (Accepted Manuscript)
2
Lucas, C, Gibson, Buckingham Shum S. Pharmacy students’ utilization of an online tool for immediate formative feedback on reflective writing
tasks. Am J Pharm Edu, 2019. https://doi.org/10.5688/ajpe6800
3
Gibson et al. 2017 Reflective writing analytics for actionable feedback. Proceedings of the LAK’17 Conference, Canada (Best Full Paper Award)
https://dl.acm.org/doi/proceedings/10.1145/3027385
46. Levels of customisation for a specific subject and students
UTS CIC 46
AcaWriter comes loaded with several
different ‘genres’ of writing, which
may match your requirements fine.
But we can provide you with a
template to help you think through
what (if anything) you might change
in AcaWriter’s feedback
There are different depths of
adaptation possible — requiring
different levels of effort from both you
and the tech team
48. Hands-on / Q&A
• Go to https://acawriter.uts.edu.au and login with your staff ID.
• Create your own assignment using a genre type.
• If you have a sample text to try, paste it into the editor and click on
Get Feedback.
• Revise the text to see if it changes the feedback.
• Or explore later, and ask us questions now…
• What are your thoughts on the potential of AcaWriter for your
teaching?
• Do you have any concerns?
UTS CIC 48
50. UTS Open with interactive exercises to learn “the moves”
https://open.uts.edu.au/uts-open/study-area/communication--media/writing-an-abstract
UTS CIC 50
Note: While focused on Abstracts, since this uses all
the Analytical moves, this is potentially relevant for
many genres of student writing
51. UTS CRICOS 00099F
This was just the
conversation starter.
Do get in touch...
Enquiries:
cic@uts.edu.au