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Data protection by Nick Youngson CC BY-SA 3.0 Pix4free

What is personal information? What is a Cookie Consent popup on a web page? What are the General Data Protection Regulation (GDPR) and Protection of Personal Information Act (POPIA), the GDPR’s South African equivalent? This week’s post looks at recent legislation around personal information and how we need to consider protecting it when working with OER and open education practices.

When you open a webpage, you may have noticed that there is often a pop-up on the page which asks if you accept the website recording your interactions with it. There are many different formats; this is the one we use on the OER Africa website:

Most websites use HTTP cookies (web cookies, browser cookies). These are small pieces of data created by a web server while a user is browsing a website, which are placed on the user's computer or other device (Source: Wikipedia). Cookies serve important functions, such as authenticating the user and storing sensitive information. If you click “Accept”, then cookies will be set on your device, whereas if you click “Reject”, you may not receive the full user experience on certain websites. ‘Tracking cookies’ collect long-term records of individuals’ browsing histories and can be used to target advertisements to individuals. This has led to concerns about invasion of privacy, resulting in countries and blocs of countries requiring ‘informed consent‘ from the user before data is captured. The European Union enacted the GDPR that requires users to ‘opt in‘ to their cookies being stored. Similar legislation has been legislated elsewhere, for example the California Consumer Privacy Act (CCPA) in the US, and POPIA in South Africa. The African Union has called for the adoption of a common framework on the protection of data and at least six countries have adopted laws for the protection of their citizens (Daigle, 2021).

This short video explains how the GDPR works. Although it relates to Europe, data privacy laws in other countries work in similar ways.

How does this relate to OER?

As the name suggests, privacy and personal data protection legislation is intended to protect people from having their personal information accessed without their consent. There are two main ways in which personal data might be at risk when working with OER.

First, there is evidence that ransomware and related attacks target the education system, specifically school and university websites (Zdravkova, 2019) and that the attackers have accessed email addresses and other data from students and staff to mount the attacks. If you access a site that includes OER or open courseware, ideally you should be presented with a cookie consent form. You can then choose whether you allow yourself to be tracked and what data the website may use. For example, the UK-based Open University website includes a cookie consent popup on opening. While Khan Academy does not have one, it does have a page explaining its policy on cookies. Others, such as the MIT Open Courseware Repositoryand the South African Siyavula website (openly licensed school science and mathematics resources), do not show a popup on opening. Users need to be aware of the possible risks they face when using such webpages; their browsing history may be tracked. In the commercial world, unscrupulous companies sell user data to other companies for profit.

Second, many online activities require users not to be anonymous when working with OER. When creating an OER a person would normally provide their name and (possibly) their affiliation. In giving this information, users should be aware that the information can be shared widely. More importantly, if you are working with students, they need to be aware of their rights to informed consent. For example, if you are working with students on platforms such as learner forums, Twitter, Facebook, and Wikipedia, they should be aware that their data are being shared. Large companies usually list consent within their Terms of Use/Terms and Conditions, which can be very extensive, couched in legal language and are often not read by the user before being signed. We recommend that universities should adopt data consent policies for their students, and that academics and librarians should make students aware that their consent must be freely given, specific and unambiguous. Such consent may constrain existing practices, for example if an academic sets the writing of a Wikipedia article or a series of tweets as an assignment, the student cannot be forced to create a social media account in order to comply with the assignment. 

In summary, with the rise of digital technologies (particularly smartphones) personal information of users can be easily accessed and tracked. If they register on a site, the information may include their browsing history, email address and any other details they have entered. People accessing and creating OER should be aware of the risks of allowing access to their personal information: OER repositories should consider including cookie consent popups, while data consent policies need to be made clear to all users.

References

Related articles

What's New

From 4 to 7 September 2023, we celebrate the inaugural Digital Learning Week – a reframing of what was previously known as Mobile Learning Week. The United Nations Educational, Scientific and Cultural Organisation (UNESCO) will convene in-person events for policymakers, practitioners, educators, private sector partners, researchers, and development agencies.

Image courtesy of Siphosihle Mkhwanazi, Wikimedia (CC BY-SA)

This week, we celebrate the inaugural Digital Learning Week – a reframing of what was previously known as Mobile Learning Week. From 4 to 7 September 2023, the United Nations Educational, Scientific and Cultural Organisation (UNESCO) will convene in-person events for policymakers, practitioners, educators, private sector partners, researchers, and development agencies.

Under the theme ‘Steering technology for education’, the event will explore public digital learning platforms and generative AI, examining how both can be steered to reinforce and enrich humanistic education.

Plenary sessions, panel discussions and public lectures will be livestreamed. The full programme, including links to each session, is available here.

Some highlights to look forward to include:

For more information, visit the Digital Learning Week page.


Related articles

In August 2023, the African Library and Information Associations and Institutions (AfLIA) and Neil Butcher & Associates (NBA) co-published an Overview for African Librarians on the UNESCO OER Recommendation and Open Knowledge.

A William and Flora Hewlett Foundation grant to NBA funded the research and writing entailed in producing the Overview.

Figure 1: AfLIA poster on the UNESCO OER Recommendation

The UNESCO Recommendation on Open Educational Resources (OER) is significant to all those who are interested in and committed to ensuring that all learners have access to appropriate high-quality educational content, including librarians. It was approved unanimously by UNESCO member states in November 2019.

In August 2023, the African Library and Information Associations and Institutions (AfLIA) and Neil Butcher & Associates (NBA) co-published an Overview for African Librarians on the UNESCO OER Recommendation and Open Knowledge.[1] A William and Flora Hewlett Foundation grant to NBA funded the research and writing entailed in producing the Overview.

The Overview explores how the OER Recommendation’s five action areas are relevant to librarians and what librarians can do to support their implementation. It examines how the OER Recommendation relates to the different library types in Africa and the user communities the libraries represent.

It further aims to help African librarians develop a deeper understanding of OER, including the kinds of open content that will resonate with library users. OER is consonant with other equally important principles for librarians—access to equitable, suitable, and relevant content for easy sharing and interoperability of knowledge within Africa.  All these facets are included in the Overview.

The Overview is filled with insights and stories from librarians on open knowledge and open licensing, including how traditional knowledge, culture, and languages can be used in creating and adapting openly licensed content.

AfLIA also produced a comic strip to explain to librarians why OER and UNESCO’s OER Recommendation are so important.  Comic strips on teaching are becoming increasingly popular;  Google has a full page of images, as does OER Commons. But we could not find a comic strip to explain open licensing or OER…until AfLIA came along and created one.

If you would like more information on the Overview or would be interested in joining related discussions, please write to Nkem Osuigwe, AfLIA’s Director of Human Capacity Development and Training.  Her email address is neosuigwe@aflia.net.
 

Figure 2: AfLIA poster on collecting and opening up Africa's heritage


 

 

Over the past year, news about Artificial Intelligence (AI) has abounded. Information about breakthroughs and new applications have become commonplace, and we have been thrust into a world where AI-enabled technologies are starting to change how we work and live.

In this article, we consider three ways that AI might change how we use OER.

Introduction

Over the past year, news about Artificial Intelligence (AI) has abounded. Information about breakthroughs and new applications have become commonplace, and we have been thrust into a world where AI-enabled technologies are starting to change how we work and live. For better or for worse, we have ushered in the era of AI.

Many are asking what the implications of this might be for the education sector. Will it affect teaching and learning positively or negatively? How can AI-enabled technologies personalize education – and will this be educationally beneficial? What organizations are already working on AI in education and how, if at all, is this work regulated? An air of uncertainty pervades the sector in terms of the benefits and risks of harnessing AI in education.

At OER Africa, we have written extensively on how Open Educational Resources (OER) might improve aspects of education, including access, relevance, and quality. Likewise, the intersection of OER and AI necessitates greater exploration, particularly given the opportunities that it offers to scale access to high quality education.

In this article, we consider three ways that AI might change how we use OER.

How AI could change our engagement with OER

1. OER Content Development

AI tools can be used to develop new OER using natural language processing and machine learning capabilities. They might be able to help educators create interactive learning materials, assessments, and learning simulations, expanding the range of available OER and enabling novel teaching practices.

One of the most popular platforms that demonstrates such capabilities is ChatGPT (or Chat Generative Pre-Trained Transformer), an AI chatbot developed by OpenAI. Since its release in November 2022, is has amassed over 100 million users.

There is no doubt that generative tools like ChatGPT hold great potential to save time and effort for OER creators. With a few well-crafted prompts, ChatGPT can: generate thousands of words on a subject; create dozens of sample questions that could be included in an open textbook for learners to be able to self-evaluate their own learning; create lesson plans and assignments; and develop question prompts that can be used as asynchronous discussion prompts in discussion forums.[1]  However, it is crucial that OER creators use their own expertise to check that what is generated by ChatGPT is indeed correct.

For educators working with OER, copyright ownership of AI-generated works is important to determine as, by definition, OER are materials unencumbered by legal restrictions that may prevent the reuse, sharing, redistribution, and adaptation of copyrightable works. While some are using the rise of generative AI to question the validity of copyright itself, the question of who owns the copyright when a work is created by AI is a very murky area, both legally and ethically.[2,3]  When we asked ChatGPT whether the content it produces is openly licensed, it had the following to say:

As of my last update in September 2021, the content generated by ChatGPT and similar AI language models is not openly licensed. AI language models, including ChatGPT based on the GPT-3.5 architecture, are proprietary technologies developed by organizations like OpenAI.

…Therefore, when using content generated by ChatGPT or any other AI language model, it is essential to review the terms of service, usage policies, and any specific guidelines provided by the organization that owns the AI model to ensure compliance with their requirements.

It's worth noting that the field of AI and its legal and ethical implications are continually evolving, and there might be changes or developments in the licensing and usage of AI-generated content beyond my last update. I recommend checking with the organization that provides the AI service for the most current and accurate information regarding the licensing and usage of their AI-generated content.[4]

We recommend that users of these technologies stay abreast of these kinds of debates, read terms of service of the organizations that create these technologies, pay close attention to licensing conditions, and state clearly when they have used AI tools to generate intellectual property.

2. Personalized Learning

Some AI algorithms can develop tailored recommendations for OER based on a learner's performance, learning preferences, and development areas. This implies that learners can use OER that meet their requirements, making the learning pathway more engaging and effective.

For example, Siyavula is a South African organization that provides personalized and adaptive learning platforms. Siyavula has produced book titles from Grades 4-12. These are high quality OER that are aligned with the South African curriculum for mathematics, physics and chemistry. Learners can now also access Siyavula’s adaptive learning software, which adjusts the difficulty levels of exercises through machine learning to cater to each learner’s individual needs.[5]

3. Translation and Localization

AI can enable translation and localization of openly licensed content. Software with machine translation capabilities, such as Google Translate, can translate OER into different languages, facilitating knowledge sharing. It is always recommended that users state when they have used these kinds of tools for translation purposes.

The United Nations Educational, Scientific and Cultural Organization (UNESCO) has been exploring the use of AI for the translation and localization of educational content. It has collaborated with partners to develop machine translation systems and tools that bridge language gaps in accessing OER. For example, the Global Digital Library (GDL) collects existing high-quality openly licensed reading resources and makes them available on the web, mobile and for print. The platform also supports translation and localization of GDL-resources to more than 300 languages. UNESCO partnered with the GDL team under the auspices of the Norwegian Programme for Capacity Development in Higher Education and Research for Development (known as NORAD) and the Global Book Alliance to launch the GDL in Asia. Reading materials in 41 Asian languages, including seven Nepali languages were launched.[6]

Despite the benefits of integrating AI into OER, there are several potential challenges and concerns. For example, the issue of data privacy has received a lot of attention recently, as the use of AI algorithms often entails the collection and analysis of user data. Ensuring that such data is stored securely and used responsibly is critical to maintaining the trust and privacy of both learners and educators.[7]

A second challenge is the potential for AI to exacerbate existing inequalities in education. As AI-powered OER become more widespread, there is a risk that those who cannot access such resources or platforms may be left behind due to unstable internet connections for example. There may also be inherent biases in the data that is used to train AI models, such as a lack of data from Sub-Saharan African countries. Thus, introducing measures to ensure that AI-driven educational tools are accessible to learners regardless of their geography or socioeconomic contexts is key to promoting educational equity.[8]

Conclusion

Regardless of one’s outlook on the impact that AI could have on society over time, its integration into most spheres of our lives in some shape or form is progressing fast. With regard to OER, AI offers exciting opportunities to augment the production, dissemination, and access to quality educational resources. However, rolling out such capabilities means that we need to consider potential shortfalls, including that we might inadvertently inhibit access to such platforms for those who face educational barriers.

Some further reading on this topic:


Related articles in OER Africa’s archive


[1] Lalonde, C. (2023). ChatGPT and Open Education. BC Campus. Retrieved from: https://bccampus.ca/2023/03/06/chatgpt-and-open-education/

[2] Lalonde, C. (2023). ChatGPT and Open Education. BC Campus. Retrieved from: https://bccampus.ca/2023/03/06/chatgpt-and-open-education/

[3] See article here

[4] Conversation with ChatGPT on 24 July, 2023. OpenAI's ChatGPT, based on the GPT-3.5 architecture.

[5] See article here

[6] See article here

[7] Frackiewicz, M. (2023). AI in Robotic Open Educational Resources. Retrieved from https://ts2.space/en/ai-in-robotic-open-educational-resources/#:~:text=AI%2Dpowered%20chatbots%2C%20for%20instance,thinking%20and%20problem%2Dsolving%20skills.

[8] Frackiewicz, M. (2023). AI in Robotic Open Educational Resources. Retrieved from https://ts2.space/en/ai-in-robotic-open-educational-resources/#:~:text=AI%2Dpowered%20chatbots%2C%20for%20instance,thinking%20and%20problem%2Dsolving%20skills