The impact of Artificial Intelligence and other emerging technologies on wellbeing

Artificial Intelligence and other emerging technologies avail a range of opportunities for improving the wellbeing of school aged children, but also risks that need to be carefully managed. In determining how to best respond to the opportunities and challenges of emerging technologies, it is important that we navigate a balanced pathway that lies between ‘moral panic’ and naïve ‘techno-enthusiasm’.

Benefits

The ability to work with Artificial Intelligence in almost all aspects of human endeavour will be an essential and requisite capability in the future, from designing and developing a new product, to running a business, to solving an engineering problem, to writing a report, and a myriad of other use cases. Equipping students with generative AI literacies they need for future work and life success will be a fundamental responsibility of any education system. Not having these capabilities could substantially limit a person’s opportunities, adversely affecting their wellbeing.

Artificial intelligence can fulfill a number of roles for school aged children. For instance, Artificial Intelligence has the potential to provide every child with a personalised tutor for every subject that they study, which is a tremendous boon for child wellbeing. Artificial Intelligence can assume the role of a guide on the side, or coach, providing students with ideas and advice about how to respond to situations which they may otherwise uncomfortable talking about with someone else. As generative AI continues to improve, it will be able to provide personalised assistance on any human area of activity, for instance, sports training, cooking, relationship advice – the possibilities are almost limitless.

Research indicates that people with lower skill levels can benefit most from generative AI (law student study), meaning that if we can place these powerful tools in the hands of the more disadvantaged segments of our society, then it could potentially serve to close the equity gap. Note that significant training and education would also be required to enable this strategy to be successful.

Artificial Intelligence has profound potential for providing support for students with special needs. The recent release of Chat GPT4o, with the capacity to natively see, hear and speak, means that people with vision, hearing or speech impairments can use AI tools to help them navigate and interact with the world.

Immersive Virtual Reality is another emerging technology that has the potential to benefit students, by providing them with access to learning experiences that would otherwise be unavailable. Students experience what it is like to visit the other side of the world, work in a science lab, or be an archaeologist in Egypt. Immersive Virtual Reality also offers immense opportunity for people to develop empathy for others, for life-like, visceral experiences. The range of experiences that may be offered using IVR, and the heightened engagement, can affect wellbeing by increasing the episodic repository from which people can draw, potentially enabling them to make better vocational and relational decisions.

In sum, emerging technologies such as Artificial Intelligence have immense potential to benefit the wellbeing of school children, if access is provided and they are used in ways that enable positive educational experiences.

Issues

However, there are a number of ways that emerging technologies such as Artificial Intelligence may adversely affect the wellbeing of school aged children.

Students may be exposed to biases, inaccuracies and misleading information, through their use of AI platforms. While AI providers are increasingly improving the performance of their platforms in efforts to remove bias and inaccuracies, fully removing these biases and inaccuracies is a difficult undertaking. Almost all information could be considered to include biases and inaccuracies, and the best safeguard that we can provide for our children is to help them learn how to identify biases and inaccuracies so that they do not incorporate them into their responses.

To the extent that Artificial Intelligence and other technologies can be amplifiers of productivity and opportunity, there are significant equity issues relating to access to these tools. If access to the highest quality and most powerful artificial intelligence technologies is only provided to those who can afford it, the socio-economic gap will widen, entrenching disadvantage and disempowering the people who most need support.

There are continual concerns about over-use of screens by children. Safety concerns are often associated with the use of screens, for instance, relating to cyberbullying, cyberstalking and so on. To date, these risks do not generally occur through the use of Artificial Intelligence, and are greater when using social media at large. Because generative AI platforms are so far provided by reputable organisations with the objective of providing a service that is valued by its users, there have not yet been instances of AI providing malicious advice or misusing user data for malicious purposes. However, the onus will fall on adults to evaluate the quality of AI platforms that children and young people use, to safeguard student wellbeing.

Screen addiction is another issue. Digital games, social media and even self-paced online learning platforms often include interactive elements in their interfaces that are designed to provide a small dopamine reward for use. However, it is important that we disentangle positive and educational screen uses from unproductive and unhealthy screen uses, encouraging students to choose the former over the latter. Adults also need to take responsibility for filtering the sorts of technologies that children and young adults can access, depending on their age.

Distraction while children use screens is an ongoing concern of teachers and parents, which is often associated with a reduced ability to concentrate. Using generative artificial intelligence need not increase distraction, though the extent to which students are able to maintain control over their focus depends on their ability to self-regulate their attention. Physiologically, research indicates that it is not the use of screens that affects people’s eyesight, it is the level of close-up reading and the lack of outdoor time.

Another key risk is that student reliance on generative AI may constrain their learning. Students may choose to use AI as an answer machine rather than a learning machine. The extent to which students copy-paste responses to their learning tasks from generative AI is the extent to which they will learn nothing from their education and be of lesser value to the workforce and society. Once again, helping students to self-regulate their use of generative AI will be critical.

Learning from the past to prepare for the future

Historically, technologies that enable people to access information more easily and distribute it in rich media forms have been the ones to transform society (for instance, the printing press, digital cameras, and so on). To that extent, Artificial Intelligence, Immersive Virtual Reality, Augmented Reality, Smart Glasses, are all technologies that we can expect to play an increasing role in our future.   

There are a number of analogies that we can draw from the past to help inform our interpretation of AI and other emerging technologies, including how to best navigate the use of technologies by children and young people. Artificial intelligence can be likened to earlier technological innovations such as calculators, spellcheckers and Wikipedia. In each case there were concerns that the technology should not be used at all in education, because it was able to perform tasks that students were required to complete. At the same time, there were other concerns raised about whether the knowledge and skills that could now be completed by technology was still relevant to learn. However, over time, we came to realise that:

  1. the knowledge and skills that technology can provide are still important for humans to learn, to develop their mind and have better understanding of the world
  2. those technologies could be used to help students learn the underlying skills or knowledge (arithmetic, spelling, historical facts),
  3. it was appropriate to use those technologies in cases where higher order problem solving tasks were being completed (for instance, real-world mathematical problems, writing a report)

Being successful in a world with increasingly powerful artificial intelligence and other emerging technologies will depend on children and young people developing strong AI literacies. This includes the ability to understand how AI works, specify tasks accurately, critique the information that is provided by AI, understand the limitations of AI technologies.

In a future saturated with AI technologies that can match and often surpass human performance, people will need to concentrate more on being human well as they offload a lot of the cognitive work to machines. In addition to the 4Cs (critical thinking, creativity, communication and collaboration), students will need to focus more on human and values-oriented aspects of our world, which can be summarised as the four Es:

  1. Ethics – the value systems to underpin appropriate use and acknowledgement of AI tools in their work and life
  2. Empathy – the ability to interpret the potential responses of other human beings and to act accordingly
  3. Enterprise – the self-motivation to make best positive use of AI technologies to affect positive impact
  4. Engagement – taking responsibility for their learning and proactively contributing to society.

Most importantly, students will need to have the self-regulation capabilities to monitor and appropriately adjust their use of technologies.

In order to develop these capabilities, extensive restructuring and reprioritisation must occur within our education system. We will need to provide access to technology for all young people, and extensive training that equips them with the knowledge, skills and dispositions to thrive in an AI world.

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ICTENSW Conference 18th March 2023

Programming Pedagogies (Grok)

Caroline Tromans, Drew Eastlake, Dan Hickman

See: https://grok.ac/ictensw-2023 for Grok activities and http://grok.ac/ICTENSW2023 for folder of resources on SharePoint

Two ideas types of activities:

  • PRIMM (Predict, Run, Investigate, Modify and Make) model
  • Parsons Puzzles (arrange lines of code in correct order, see https://hckmd.com/parsons for Python tool including examples, or could simply create one in Scratch).

Other links:

Creativity and Computational and Design Thinking

Bronwyn Tregenza

Ran a workshop on the Invention Engine sample kit (excellent)

http://sites.google.com/uts.edu.au/ICTENSW/home for activities

Browyn recommends Edison Robots

Teaching Artificial Intelligence in HSC Software Engineering and Enterprise Computing

Dr Vladimir Tosic vladimir.tosic2 ‘at’ det.nsw.edu.au

See http://learn-ai.weebly.com and http://tinurl.com/NewHSC-AI

Interesting links for K-10:

Interesting links for Senior Students

Grok Academy AI in K-12

James Curran james.r.curran ‘at’ grokacademy.org

Director, Grok Academy (a charity)

  • ‘Prompt’ engineering is going to become more important
  • Tools: ChatGPT, DALL-e, Midjourney, Stable Diffusion, Artflow, Diagramify, Looka, Soundraw,
  • ChatGPT trained on 570GB of text including publicly available “Common Crawl” and Wikipedia
  • Tasks: Start with ChatGPT output and critique it, improve it
  • Teachers can generate multiple choice questions (e.g. generate 5 multiple choice questions on the concept of binary)
  • Have conversations about authentic assessment, alternative forms of evidence, higher order thinking
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Guides to using appropriate language for Indigenous and LGBTIQ+ groups

A wonderful colleague of mine, Professor Tiffany Jones, just shared the following guides on how to use appropriate language for Indigenous and LGBTIQ+ groups.

A guide to writing and speaking about Indigenous People in Australia:

LGBTIQ+ Inclusive Language Guides:

All worth noting and using!

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Brave New World of Artificial Intelligence

Here is an interesting sequence of work by a colleague of mine, Eva Bonser, using Artificial Intelligence to be creative.

Here is a story generated after simply typing “Tell me a story about a balloon” using https://chat.openai.com/

Once upon a time, there was a small, round balloon. It was made of bright red rubber and was filled with just the right amount of air. The balloon was very happy, floating and bouncing around wherever the wind took it.

One day, the balloon found itself drifting over a vast field of tall grass. As it floated along, it noticed a group of children playing a game of tag. The balloon watched as the children ran and laughed, chasing each other through the grass.

As the balloon watched, it saw one of the children stop running and bend down to tie his shoelace. Suddenly, the wind picked up and the balloon was carried away from the field and out of sight.

The balloon found itself alone, floating high above the clouds. It was a beautiful sight, with the sun shining down and the clouds drifting by. The balloon felt free and alive, soaring through the sky.

But as the hours passed, the balloon began to feel a little lonely. It missed the children and the fun they had been having. So, the balloon made a wish on a passing cloud. It wished to return to the children and play with them once again.

And as if by magic, the wind changed direction and the balloon found itself drifting back down to earth. When it reached the field, the children saw it and ran over to catch it. They laughed and played with the balloon, and it was the happiest it had ever been.

From that day on, the balloon remained with the children, enjoying every moment of their games and adventures together. And it learned that sometimes, the things we wish for most can come true if we just believe in them.

I then put the text into https://murf.ai/studio to make this audiobook (with music) version of the story.

Then a picture generated from at deepai.org using “a red balloon floating over a field watercolour”

I’m imagining a future where typically ‘creative’ jobs are very very different from what they are now. Possibly more about filtering and refining AI generated creations, rather than making something totally from scratch.

I was actually going to try use AI generated artwork to finally finish a picture book that I’ve had written for over a decade, then release it online for the buzz. Looks like someone beat me to it https://time.com/6240569/ai-childrens-book-alice-and-sparkle-artists-unhappy/

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DATTArc conference notes

Lots of interesting resources on the International Technology & Engineering Educators Association https://www.iteea.org/ :

  • In 2000 the Standards for Technological Literacy had 20 dimensions and 288 standard
  • In 2020 the Standards for Technological & Engineering Literacy has 8 dimensions
  • Maps Domains of Learning (Cognitive, Psychomotor, Affective) to student outcomes (Knowledge, Skills & Dispositions)

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NESA releases new Computing Technologies 7–12 syllabuses

The NSW Education Standards Authority (NESA) is pleased to inform us that new secondary syllabuses have been released as the next milestone of the NSW Curriculum Reform.

The syllabuses and information about implementation are available on the Digital Curriculum:

Schools can plan and prepare to teach the new syllabuses in 2023. The new syllabuses will be taught in NSW schools from 2024.

Students will sit online HSC exams for Enterprise Computing and Software Engineering from 2025.

Schools will have access to support materials including teaching advice on the Digital Curriculum to assist with implementation. More resources will be made available over time as well as online, accredited professional development on NESA’s online learning hub.

NESA will work with the school sectors and individual schools to prepare for HSC online exams and ensure that all students have suitable equipment.

For more information on the NSW Curriculum Reform please visit the NSW Curriculum Reform website. The NSW Curriculum Reform timeline is available on the NESA website. Also see https://educationstandards.nsw.edu.au/wps/portal/nesa/about/news/official-notices/official-notices-detail/new-computing-technologies-7-12-syllabuses

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The Upside of Lockdown Schooling

Home schooling is understandably placing a lot of strain on parents and families. One of the parent WhatsApp groups that I am on for my son’s school regularly has comments about frustration with home schooling, often involving feelings of being overwhelmed, not coping, and wanting to give up (from parents and children). This will naturally vary from family to family, but any household where parents are simultaneously juggling full-time work and teaching their children, will inevitably result in increased stress levels of everyone involved. The stress is exacerbated when children have high support needs, for instance, when they are young or have learning difficulties.

However, as we work through the difficulties of home-schooling, it may be helpful to reflect on the silver-linings that may be present, even if we might only be able to appreciate them in retrospect. For many, home-schooling is a chance to develop a much better understanding of the learning level and needs of our children. Pre-covid, when we sent our children off to school each day, it was much more difficult to ascertain what they understood or where they might need a little bit of extra help. In fact, it was much more difficult to find out what they were learning at school, and whether that work was too easy or hard or boring. Home-schooling provides a tremendous opportunity for parents to get to know our children better, how they learn, and the curriculum.

Home-schooling has meant that many children and young adults have needed to become more independent learners. While schools are making concerted efforts to provide a remote or online curriculum for students, the teacher is no longer there with students in the classroom, and the onus is more on our children to self-regulate their learning. While this can be frustrating when it doesn’t work or when children are struggling, the anecdotal impression from many parents is that children are developing the abilities to be more autonomous and to self-manage their learning. Correspondingly, teachers are necessarily shifting their teaching approaches to enable students to be more independent learners. It is possible that these shifts – where students take more responsibility for their learning and teachers setup learning environments where students can more easily assume that responsibility – may have long term benefits.

Additionally, home-schooling has meant that children (and parents!) are developing their digital learning capabilities. Scanning, uploading, editing, searching, and creating using technology may have been overwhelming weeks or even days ago, but is now becoming commonplace and second nature for many. Teachers too are learning how to better design tasks for online learning, so that tasks are clearer, resources easier to work with, and technology is used to facilitate interaction. Many teachers are learning how to teach effectively via web-conferencing (e.g. Zoom), providing the real-time instruction, feedback and sense of connection that is so important in schooling. The evolution of teacher capabilities from preparing printed worksheets at the beginning of lockdown 1.0, to utilising asynchronous online learning platforms to disseminate resources (e.g. Google Classroom), to now venturing into realtime collaboration using synchronous technologies, largely mirrors the evolution of the educational technology field, though in a remarkably compressed timeframe. It sets up our children and teachers for increased innovation in learning and teaching, once the pandemic abates.

So there’s no doubt that this has been a tough time for many, and nobody is claiming that is about to get easy any time soon. However, in retrospect, it is possible that we may really value and benefit from this lockdown time, where we got to know our children better, where they became more self-empowered learners, and where we all developed our digital learning capabilities. Many thanks to the efforts of teachers right across Australia. And hang in there parents – we can do this, together.

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Australian Award for University Teaching – A reflection on the journey

Recently I was fortunate to be one of four recipients of an Australian Award for University Teaching Excellence (2020). This was a great honour, and testimony to the support and encouragement I have received from innumerable colleagues over the years. As a means of giving back, I’d like to share some reflections about learning and teaching award applications, in case they are useful to others.

Firstly (and primarily to keep my own ego in check), it important to recognise that teaching awards are not necessarily awarded to the best teachers. I have been teaching for over 25 years, in schools and universities, in Australia and overseas, and during that time I have been fortunate to meet so many outstanding teachers with indisputably better teaching characteristics and qualities than I. No questions asked. Many of these were the sort of teachers who wouldn’t be driven by, or give second thought to, applying for awards. They were getting the job done, and intrinsically valued the satisfaction derived from inspiring their students and helping them to learn.

To be accurate, teaching awards are awarded to people who have been perceived by a judging panel to have written the best application. Don’t get me wrong, those applications need to represent the activities of the applicant, but winners of teaching awards need to a) choose to apply for an award, and b) write a persuasive application. In fact, on my more cynical days, I have ruminated that my teaching awards are actually recognition that I am conceited enough to spend voluminous time self-indulgently writing about my own teaching. But perhaps that’s going too far, because I think it is wonderful and important to have schemes that attempt to recognise great teaching. More on that point at the end of this post…

Understanding that teaching awards are awarded to people who have submitted the best applications is important, because it focuses attention beyond teaching activities to also consider how to best showcase teaching performance – a necessity to be successful in teaching awards. In the same way that researchers become better at writing journal articles over time (or people become better writers in any genre through practice), people should expect that their teaching applications improve through successive iterations and attempts. In my experience, the application needs to be easy to read and provide concrete examples, in order to have the greatest impact. It should provide a compelling narrative, written in the same careful way a that an author might write a story, but of course, based upon truth and extensive evidence. And it should provide illuminating insights into what great teaching is all about within the discipline in question.

The application needs to showcase evidence of teaching performance, arranged according to the criteria. Understanding the criteria of the award scheme is absolutely essential, because each application will be evaluated by each judge according to those criteria. If applicants make it difficult for judges to distill performance against the criteria, then they shouldn’t expect to be successful (even if the underlying performance against the criteria or other standards is exemplary). So always organise the application according to the criteria being used to assess your accomplishments.

Think broadly about what might constitute evidence throughout the application. For me, it was solid student evaluations of teaching (always useful), teaching scholarship, leading University and cross-institutional projects and communities of practice, and creation of teaching resources that are used nationally and internationally. For other people it might be different (e.g. creating a popular podcast series, or leading a university teaching innovation centre). Some people advise not to use too many student quotes as evidence in their applications, as these can easily be cherry-picked from student teaching returns. Actually, I used quite a lot of quotes, but made sure they were selected purposefully to demonstrate the cause-and-effect relationships that I was claiming in my application (so they weren’t just “oh yeah great teaching” quotes). As well, the quotes were only used to provide descriptive quality to the application, amongst other more objective evidence of impact such as student ratings of my teaching, citations, feedback from project stakeholders, and use of my teaching resources.

For my 10 pages of appendices, I used:

  • A statement from two senior leaders of external bodies with whom I have worked
  • A statement from a local principal who was familiar with the impact of my work
  • A statement from two academics outside the university who use my work in their teacher education courses
  • Excerpts from several unsolicited student emails over two pages
  • A statement from my Head of School
  • A past teaching return (compressed onto one page!)
  • A page of publications and references cited in my application

For my 3 minute video, I used footage from a Blended Synchronous Learning innovation that I had used in my pre-service teacher courses, and that related to a national project that I had led: https://youtu.be/OaSD8KaLD9w . I’m not sure the video was the best choice, but it was the best I could do under the time constraints. The video and appendices were then all referenced from the application body.

Draw upon expertise and feedback from advisors and mentors. Macquarie provided me with great assistance for my application, setting me up with past recipients and judges, who offered excellent advice. They helped me to identify places where my application was unclear, bland, or could be seen as over-claiming. They constantly returned me to a focus on “evidencing how what was done impacted on student learning”.

And finally, I think timing is important. After having won an ALTC Citation Award (predecessor to the AAUT awards) in 2010, a Faculty Award for Teaching Excellence in 2011, and a Vice Chancellor’s Award for Teaching Excellence in 2012, I decided to go for a Teaching Excellence Award in 2013. I really put lots of time into it, had great support, received lots of positive feedback, and despite my best efforts to not get my hopes up, felt confident I was going to win. With excitement I opened the notification email, only to find no cigar enclosed. So, discouraged, I put the aspiration aside, and got on with work.

It was only several years later, after having operated extensively beyond the bounds of my institution, that I realised that I had a lot more to offer and write about in a teaching award application. So, with immense support from within the University, and beyond in terms of the people who were willing to vouch for my contributions, I applied again in 2020. And then, on 15th of February 2021:

Dear Associate Professor Bower,

I would like to congratulate you on receiving a 2020 Award for Teaching Excellence as part of the Australian Awards for University Teaching (AAUT) program….

Tremendously gratifying and a great honour! It is something I will value in perpetuity, and use to remind myself how generously people have supported me over the years.

Accordingly, if anyone reading this post should like feedback or advice about teaching or teaching applications, please don’t hesitate to contact me at matt.bower ‘at’ mq.edu.au.

Postscript:

On 11th of May 2021 the Australian Government budget announced that they will no longer fund the Australian Awards for University Teaching. The failure to fund the AAUT in the recent budget is a huge loss for our nation. By recognising excellence nationally, the Australian Awards for University Teaching motivated people to contribute beyond their institution, for instance through sharing of resources, leadership of projects and provision of professional learning. They also encourage educators to strive for excellence, and catalyse important conversations about what constitutes best practice in university teaching. By removing these schemes and providing no mechanisms to promote inter-university teaching excellence, the quality of education in the sector will undoubtedly suffer. I strongly encourage all academics to agitate for the reintroduction of Australian Awards for University Teaching funding.

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Resources for gifted and high potential Primary school students (and their teachers and parents)

I’ve been doing a tiny bit of investigation about good resources for gifted and high potential primary school students, in anticipation of the new NSW Department of Education High Potential and Gifted Education Policy that comes into effect next year. Thanks to Susen Smith from UNSW, and Jodie Torrington from Macquarie University, I’m happy to share the following resources:

There are also a range of associations dedicated to Gifted and Talented education, such as:

  • AAEGT – Australian Association for the Education of the Gifted and Talented
  • Gifted NSW – NSW Association for G&T education

The following research has also piqued my interest:

  • Geake, J. (2009). The brain at school: Educational neuroscience in the classroom. McGraw-Hill Education (UK).
  • Geake, J. (2011). Position statement on motivations, methodologies, and practical implications of educational neuroscience research: fMRI studies of the neural correlates of creative intelligence. Educational philosophy and theory43(1), 43-47.
  • Gross, M. U. M. (2010). In her own write: A lifetime in gifted education. Sydney, NSW: Gifted Education Research, Resource and Information Centre, UNSW.
  • Gross, M. U. (1999). Inequity in equity: The paradox of gifted education in Australia. Australian Journal of Education43(1), 87-103.
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2020 Typology of Free Web-based Learning Technologies

In order to support educators and researchers worldwide to use the most up-to-date technologies and best understand the web-based technologies terrain, my colleague Jodie Torrington and I have just released the 2020 Typology of Free Web-based Learning Technologies. The 2020 Typology includes 236 freely available web-based learning tools, and constitutes a thorough update of the 2015 Typology of Web 2.0 Learning Technologies that I released on on the Educause website. The 2020 Typology of Free Web-based Learning Technologies includes 76 new tools, removes 62 tools that were no longer valid, and adds three new clusters of technologies. The change in name from “Web 2.0” to “Free Web-based” reflects the diffusion and general acceptance of online tools within the educational technology ecosystem. A schematic diagram of the 2020 Typology of Free Web-based Learning Technologies is provided below (see Figure 1).

Typology of Free Web-based Learning Technologies 2020 image

Figure 1. The 2020 Typology of Free Web-based Learning Technologies

The main article (see below) provides brief descriptions, example tools and pedagogical uses for each category, in order to support ease of conceptualization and application. Comparing the 2020 Typology to its predecessor makes it possible to gauge trends in online learning technologies over the last five years, for instance the unsustainability of many smaller tools, the marketisation of many others, the trend towards more integrated platforms of tools, and greater dominance by larger providers. The paper concludes by inferring future trends in the online learning technology landscape. The 2020 Typology of Free Web-based Learning Technologies can be downloaded below.

Download: Typology of Free Web-based Learning Technologies 2020 (PDF, 354KB)

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