Heck, Tamara; Weisel, Luzian; Kullmann, Sylvia
Information literacy and its interplay with AI
Botte, Alexander [Hrsg.]; Libbrecht, Paul [Hrsg.]; Rittberger, Marc [Hrsg.]: Learning Information Literacy across the Globe. Frankfurt am Main, May 10th 2019. Frankfurt am Main : DIPF 2021, S. 129-131
Empfohlene Zitierung/ Suggested Citation:
Heck, Tamara; Weisel, Luzian; Kullmann, Sylvia: Information literacy and its interplay with AI - In: Botte, Alexander [Hrsg.]; Libbrecht, Paul [Hrsg.]; Rittberger, Marc [Hrsg.]: Learning Information Literacy across the Globe. Frankfurt am Main, May 10th 2019. Frankfurt am Main : DIPF 2021, S. 129-131 - URN: urn:nbn:de:0111-pedocs-178913 - http://nbn-resolving.org/urn:nbn:de:0111-pedocs-178913
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Alexander Botte — Paul Libbrecht — Marc Rittberger (eds)
Learning Information Literacy
Across the Globe
Frankfurt am Main, May 10th 2019
Information literacy (IL) as a learning process
Digital learning resources for IL (e.g. MOOCs, scenarios, OERs)
Cultural diversity of information literacy
Information-literacy in connection to other literacy concepts
Contents
Foreword 3
In a world of stigma and flow - how youth master information in their daily lives - (Jannica Heinström) 5
Concept and development of an Information Literacy Curriculum Widget
(Angela Fessl, Ilija Simic, Sabine Barthold and Viktoria Pammer-Schindler) 7
Analysing Informed Learning at Maastricht University
(Sefan Jongen, Jaro Pichel, Frederike Vernimmen-de Jong and Harm Hospersr) 19
Information Literacy, epistemic cultures and the question „Who needs what?“
(Antje Michel and Inka Tappenbeck) 35
Digital and information literacy as discursive mapping of an information landscape
(Andrew Whitworth and Lee Webster) 45
Improving tagging literacy to enhance metadata and retrieval for open educational resources
(Helena Keck and Tamara Heck) 57
How librarians can engage citizens to use open access contents and open data as source for fact-checking
(Paola Coppola and Damiano Orrù) 67
Information Literacy Online – An Erasmus+ Project to improve students’ competencies (Stefan Dreisiebner) 71
Interactive learning technologies (Jan Schneider) 73
Developing Metaliterate Citizens: Designing and Delivering Enhanced Global Learning Opportunities
(Trudi Jacobson, Thomas Mackey and Kelsey O'Brien) 74
The InfoLit Project (2015-18): A collaboration among eight university libraries in Hong Kong
(Shirley Chiu-Wing Wong and Johnny Yuen) 90
IL in secondary school (Josep García) 100
Wither Law Student Information Literacy? (Dennis Kim-Prieto) 104
Creating a Multilingual MOOC Content for Information Literacy: A Workflow
(Paul Libbrecht, Stefan Dreisiebner, Björn Buchal and Anna Polzer) 114
Information literacy and its interplay with AI (Tamara Heck, Luzian Weisel and Sylvia Kullmann) 129
Panel: What do we mean when we talk about IL? 132
Acknowledgements 133
( presentation, 🎥 movie recording)
🎥 🎥 🎥 🎥
Information literacy and its interplay with AI
Tamara Heck, Luzian Weisel and Sylvia Kullmann
Proceedings of the LILG Conference 2019 Page 129 of 133
Information literacy and its interplay with AI
Tamara Heck1[0000-0001-5519-6395], Sylvia Kullmann1 and Luzian Weisel2
1 DIPF | Leibniz Institute for Research
and Information in Education, 60323 Frankfurt, Germany {heck;kullmann}@dipf.de
2 FIZ Karlsruhe | Leibniz Institute for Information Infrastructure, 76344
Eggenstein-Leopoldshafen, Germany
Luzian.Weisel@fiz-karlsruhe.de
Abstract. Information literacy (IL) [1] – and similarly digital literacy [2, 3] – want to convey skills to handle information and data, its use and the creation of new information and services. It emphasizes to teach competencies that enable learners to adapt to new environments and thus foster life-long learning. Artifi-cial intelligence systems (AI) enter all kinds of areas, specifically the educa-tional sector on all levels. For example, learning analytics and learning support-ive services are established. Learners might see the opportunities of those ser-vices that promise to foster individual learning and skill development. At the same time, they need to develop novel kinds of literacy to understand and to apply AI. Thus, IL teaching and literacy frameworks need to consider an adap-tation to recent changes that come with AI.
Our contribution wants to start a discussion within the IL expert field on how IL teaching needs to prepare learners for the new era of AI. We will discuss if IL teaching frameworks need to be adapted to foster AI literacy and moreover, how IL teaching concept can benefit from developments in AI. Based on a scoping review in AI in education, we will introduce current ideas of AI tech-nology and applications and discuss them in relation to IL teaching schemes [2]. Following up the dialog of our IL working group [4], we want to contribute to current discussions on AI in education and the potential influence it might have on IL teaching, and reversely.
Keywords: information literacy teaching, information literacy framework, arti-ficial intelligence, digital literacy, discussion paper
1
The interdependencies of IL and AI
Information literacy (IL) frameworks like the one from the Association of College & Research Libraries (ACRL) [1] have recently been updated to consider new aspects of relevant competencies that a literate person needs for addressing changes and devel-opments in society and technology. Similarly, competencies for digital literate citi-zens are defined [2, 3] that stress the challenges of digital technologies and their enormous influence they will have for people and their lives. Artificial intelligence systems (AI) are one major achievement that will disrupt traditional ways of facing technologies and digital services in many fields. In this discussion, we want to focus
2 1
Page 130 of 133 Heck et al.: Information literacy and its interplay with AI
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on changing ways of IL learning and teaching. Our question is: Does we need to adapt IL teaching to prepare for upcoming changes AI will bring in education? We argue to discuss two major aspects: First, the integration of AI might offer opportunities to foster learners’ information literacy [4] and thus might be able to improve IL teaching as well. Second, AI requires new competencies for educators and learners that will need to handle, apply, and develop such tools. As such, IL teaching needs to convey those competencies to support the application of AI and life-long learning.
AI to support IL learning and teaching. AI has the opportunity to unleash the
“black-box of learning” and help us to understand the learners’ experience and how learning happens [5]. For example, AI systems might show ways to educators to apply effec-tive teaching that allows learners to gain relevant skills like problem-solving or criti-cal thinking. One example is intelligent agents, either robots or virtual assistants, which guide learners through their learning experience. IL teaching concepts applying those tools would be able to give timely feedback to educators and learners. AI could guide learners through information seeking processes and make them aware of obsta-cles and pitfalls. Such tools would need to have reliable indicators for learners’ skill progress as well as effective teaching approaches [5]. Thus, IL needs to agree on con-cepts of information literacy evaluation [6, 7] to be able to automatically measure literacy with the help of AI. A challenge here might be the interdisciplinarity of the field, i.e. researchers and educators teaching IL have diverse backgrounds and goals, and one AI solution might not fit in all IL teaching scenarios. AI might as well be helpful in making learners’ information behavior visible and counteract incorrect behavior immediately. A first step to integrate such tools would be to analyze learn-ers’ behavior and to use its results to expand IL concepts [8]. Recent examples are context-based information behavior approaches like in health literacy research [10]. In the context of learning and teaching, learning analytics are an option to study learn-ers’ behavior and skills [13].
IL to support AI. If AI shall support IL educators in offering individual and
personal-ized teaching learning and teaching, educators need to have the competencies to apply and evaluate such systems. That is, a system’s intelligence needs to be visible and transparent, and enable users to recognize its scope and goals [9]. This presumes that users are willing to critically engage with the system rather than just to consume in-formation. Thus, IL needs to consider emerging technology literacy [11] with a focus on data and information creation processes with AI. Besides information literacy, AI requires user empowerment and the ability of self-management as well. AI systems will make finding relevant personalized information easier. They will be able to use huge amount of data to support users in their decision making processes, much faster than users themselves can do. As such, they are tempting users to just use information without considering the steps an information literate person should go through to interpret information judiciously [12]. Badke emphasizes that “[one day] [y]ou don’t need training because the search tools do everything for you” [14]. IL teaching needs to consider this human information behavior in its contexts to make learners aware of their own information empowerment. At the end, IL frameworks and teaching
con-Proceedings of the LILG Conference 2019 Page of 131 133
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cepts need to set the baseline to teach competencies that make learners aware of AI tools and their intentions and improve their skills to responsibly apply AI.
References
1. ACLR: Framework for information literacy for higher education (2016)
2. Vuorikari, R., Punie, Y., Carretero, S., van den Brande, L.: DigComp 2.0. The digital competence framework for citizens. Publications Office, Luxembourg (2016)
3. UNESCO: Digital literacy in education (2011)
4. Condra, M.: How Artificial Intelligence Can Expand Digital Literacy Skills, https://www.human-i-t.org/blogs/how-ai-can-expand-digital-literacy-skills
5. Luckin, R., Holmes, W., Griffiths, M. and Forcier, L.: Intelligence Unleashed: An argument for AI in Education, https://www.pearson.com/content/dam/one-dot- com/one-dot-com/global/Files/about-pearson/innovation/Intelligence-Unleashed-Publication.pdf
6. Dawes, L.M.: Mixing it up: Teaching information literacy concepts through dif-ferent ‘ways of learning'. Faculty Publications, UNL Libraries (2016)
7. Oakleaf, M.: A Roadmap for Assessing Student Learning Using the New Frame-work for Information Literacy for Higher Education. The Journal of Academic Librarianship 40, 510–514 (2014)
8. Weisel, L.: Ten Years after – Stand und Perspektiven der DGI-Initiative für In-formationskompetenz. Information - Wissenschaft & Praxis 69, 121–128 (2018) 9. Schulz, P.J., Nakamoto, K.: Patient behavior and the benefits of artificial
intelli-gence. The perils of "dangerous" literacy and illusory patient empowerment. Pa-tient education and counseling 92, 223–228 (2013)
10. Wedderhoff, O., Chasiotis, A., Rosman, T., Mayer, A.-K.: Unveiling the Subjec-tive Perception of Health Information Sources. A Three-Dimensional Source Taxonomy Based on Similarity Judgements. Front. Commun. 3, 1060 (2018) 11. Shapiro, J.J., Hughes, S.K.: Information literacy as a liberal art. Educom Review
(1996)
12. CILIP Information Literacy Group: Definition of Information Literacy, https://infolit.org.uk/ILdefinitionCILIP2018.pdf
13. Ahn, J.: What can we learn from Facebook activity? In: Suthers, D. (ed.) Proceed-ings of the Third International Conference on Learning Analytics and
Knowledge, p. 135. ACM, New York, NY (2013)
14. Badke, W.: The effect of artificial intelligence on the future of information litera-cy. Online Searcher (2015)