Horizon Report 2022: Trends Such as Hybrid Learning, Micro-certificates and Artificial Intelligence are Gaining Traction

by Claudia Sittner and Birgit Fingerle

The 2022 EDUCAUSE Horizon Report Teaching and Learning Edition was published in mid-April 2022. It examines which trends, technologies and practices will have a significant effect on teaching and learning at universities in the future. As with previous editions, the report uses four different scenarios to envision what the future of university education could look like. We outline some of these trends, which could be of interest to academic libraries and information infrastructure facilities.

We outline some of these trends, which could be of interest to academic libraries and information infrastructure facilities.

Hybrid learning: Here to stay

After around two years of the Corona pandemic, most of us are now aware that there will be no return to pre-Corona normality; online and hybrid learning are the new normal. One trend identified by the Horizon Report is a continuation of synchronous and asynchronous learning experiences, coupled with minimal compulsory attendance on campus. According to the Horizon Report (p. 7), this will require “more sustainable and evidence-based models of hybrid and online teaching and learning”. These have now gradually superseded the contingency plans hastily put in place at the start of the pandemic, and will be accompanied by recently developed, reliable hybrid and online education, as well as an investment in additional staff and services. Higher education institutions now have to focus on making sure their students are ready for the online learning experiences. This is certainly an area where academic libraries can also play their part. The new motto is: Education for everyone, from anywhere.
Example: ‘Attend anywhere’ model, Portland, USA

Micro-certificates are winning out over classic university degrees

Lifelong, tailored learning is gaining importance over typical, drawn-out degrees, according to the Horizon Report. Both microcredentialing and online/hybrid education are particularly useful in this regard. That is why libraries and digital infrastructure facilities should be increasingly focussed on more practical, personalised and competence-based courses and micro-certificates, which according to the Horizon Report could potentially provide more attractive options for career advancement than a traditional university education. For example, libraries could think about providing their own courses to make their offers more visible, and thus prevent the big tech companies from dominating the field entirely.

Furthermore, the fact that many people experienced significant financial losses as a result of the pandemic has led them to think more carefully about whether it pays to opt for a typical university degree. Micro-certificates, especially those awarded for free by institutions such as libraries, are thus becoming more attractive.

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Artificial intelligence: learning analysis and learning tools

Even if it still often gets stuck in the teething stage, the application of artificial intelligence (AI) plays a role in two respects in this year’s Horizon Report: in relation to both learning analysis and learning tools. In relation to learning analysis, institutions would primarily use AI to encourage students’ learning progress based on existing data. When it comes to learning tools it is the students themselves who use them, and are thus able to improve their learning experience at university.

The digital re-orientation brought about by the pandemic has also heralded a flood of digital data. For academic libraries too this means engaging more directly with the potential of the data that has been generated, and ultimately providing their users and staff with an improved learning and working experience.

One challenge in this regard could emerge from the data silos of individual departments, divisions or institutes. These have to be more closely integrated in order to optimise the user experience and encourage operating efficiency. Despite the great potential of AI, there are also some risks to be aware of, such as the fact that AI systems often adopt existing biases and thus favour certain groups of users. This can increase inequalities. What’s more, it is important to clearly communicate what data is being gathered for what purpose, so that users do not lose trust in the institutions.

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Data trails demand critical engagement with media

In light of growing data volumes, users of infrastructure facilities are leaving more data trails behind them online, whether in the cloud or on social networks. This means it is even more important to equip them with sufficient information literacy and a media-critical mindset, so that they can recognise fake news, dubious conferences and predatory journals, for example. In this regard, academic libraries have a more important role to play than ever when it comes to offering relevant courses and further support.

Strengthening sustainable practices and reducing the ecological footprint

Environmental aspects are also becoming increasingly relevant in how all higher education institutions conduct themselves. It will be a question of them reducing their own ecological footprint on site, and leading by example. Here, libraries can take a look at the permanently altered behaviour brought about by the pandemic, as well as the new demands of users and staff. The ‘Planetary Health Education Framework’ and the 17 Sustainable Development Goals (SDGs) proposed by the United Nations could provide possible points of reference. Is this perhaps a good time for academic libraries to think about how they can become more sustainable and strengthen environmentally friendly practices?

Allegation of political interference

In times of increasing nationalism and populism in some parts of the world, along with global uncertainties, it would be advisable for educational institutions to safeguard their autonomy. However, due to the financing that they require, it is not always possible to withdraw from political matters completely. “In these instances, institutions must be prepared to offer compelling evidence of the benefits of the education and training they provide, as well as to accommodate the needs of increasingly strained and distracted students and families.” (p. 13). In light of increasingly scarce financial resources, more focus could also be afforded to academic libraries in this regard.

This text has been translated from German.

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About the Authors:

Birgit Fingerle holds a diploma in economics and business administration and works at ZBW, among others, in the fields innovation management, open innovation, open science and currently in particular with the “Open Economics Guide”. Birgit Fingerle can also be found on Twitter.
Portrait, photographer: Northerncards©

Claudia Sittner studied journalism and languages in Hamburg and London. She was a long time lecturer at the ZBW publication Wirtschaftsdienst – a journal for economic policy, and is now the managing editor of the blog ZBW MediaTalk. She is also a freelance travel blogger (German), speaker and author. She can also be found on LinkedIn, Twitter and Xing.
Portrait: Claudia Sittner©

The post Horizon Report 2022: Trends Such as Hybrid Learning, Micro-certificates and Artificial Intelligence are Gaining Traction first appeared on ZBW MediaTalk.

Horizon Report 2021: Focus on Hybrid Learning, Microcredentialing and Quality Online Learning

by Claudia Sittner

The 2021 EDUCAUSE Horizon Report Teaching and Learning Edition was published at the end of April 2021 and looks at what trends, technologies and practices are currently driving teaching and learning and how they will significantly shape its future.

The report runs through four different scenarios of what the future of higher education might look like: growth, constraint, collapse or transformation. Only time will tell which scenario prevails. With this in mind, we looked at the Horizon Report 2021 to see what trends it suggests for academic libraries and information infrastructure institutions.

Artificial Intelligence

Artificial intelligence (AI) has progressed so rapidly since the last Horizon Report 2020 that people cannot catch up fast enough to test the technical advances of machines in natural language proceedings. Deep learning has evolved into self-supervised learning, where AI learns from raw or unlabelled data.

Artificial intelligence has a potential role to play in all areas of higher education where learning, teaching and success are concerned: support for accessible apps, student information and learning management systems, examination systems and library services, to name but a few. AI can also help analyse learning experiences and identify when students seem to be floundering academically. The much greater analytics opportunities that have emerged as the vast majority of learning events take place online, leaving a wide trail of analysable data, can help to better understand students and adapt learning experiences to their needs more quickly.

But AI also remains controversial: for all its benefits, questions about privacy, data protection and ethical aspects often remain unsatisfactorily answered. For example, there are AI-supported programmes that paraphrase texts so that other AI-supported programmes do not detect plagiarism.

Open Educational Resources

For Open Educational Resources (OER), the pandemic has not changed much, many of the OER offerings are “born digital” anyway. However, advantages of OER such as cost savings (students have to buy less literature), social equality (free and from everywhere) and the fact that materials are updated faster are gaining importance. Despite these obvious advantages and the constraints that corona brought with it, however, only a few teachers have switched to OER so far as the report „Digital Texts in Times of COVID” (PDF) shows. 87% of teachers still recommend the same paid textbooks.

OER continue to offer many possibilities, such as teachers embedding self-assessment questions directly into pages alongside text, audio and video content, and students receiving instant feedback. In some projects, libraries and students are also involved in the development of materials as OER specialists, alongside other groups from the academic ecosystem, helping to break down barriers within the discipline and redesign materials from their particular perspective.

In Europe, for example, the ENCORE+ – European Network for Catalyzing Open Resources in Education is working to build an extensive OER ecosystem. Also interesting: the „Code of Best Practices in Fair Use für Open Educational Resources”. It can be a tool for librarians when they want to create OER and use other data, including copyrighted data.

Learning Analytics

Online courses generate lots of data: How many learners have participated? When did they arrive? When did they leave? How did they interact? What works and what doesn’t? In higher education, learning data analysis should help make better, evidence-based decisions to best support the increasingly diverse group of learners. Academic libraries also often use such data to better understand and interpret learner needs, respond promptly and readjust.

The Syracuse University Libraries (USA), for example, have transmitted its user data via an interface to the university’s own learning analysis programme (CLLASS). A library profile was developed for this purpose, which was consistent with the library’s values, ethics, standards, policies and practices. This enabled responsible and controlled transmission of relevant data, and a learner profile could be created from different campus sources.

Just as with the use of artificial intelligence, there are many objections in this area regarding moral aspects and data protection. In any case, the handling of such learning data requires sensitisation and special training so that teachers, advisors and students can use data sensibly and draw the right conclusions. In the end, students could also receive tailored virtual support throughout the entire process from enrolment to graduation. Infrastructures for data collection, analysis and implementation are essential for this.

Microcredentials

Microcredentials are new forms of certification or proof of specific skills. They are also better suited to the increasingly diverse population of learners than traditional degrees and certificates. Unlike these, they are more flexible, designed for a shorter period of time and often more thematically focused. The spectrum of microcredentials spans six areas from short courses and badges, to bootcamps and the classic degree or accredited programmes.

Microcredentials are becoming increasingly popular and can also be combined with classic certifications. The Horizon Report 2021 sees particular potential for workers who can use them to retrain and further their education. It is therefore hardly surprising that companies like Google are also appearing on the scene with Google Career Certificates. For many scientific institutes, this means that they will have to further develop and rethink the architecture, infrastructure and work processes of their traditional certification systems.

Blended and Hybrid Course Models

Due to the corona pandemic, diverse blended and hybrid course models mushroomed, especially in the summer of 2020. “It is clear that higher education has diversified quickly and that these models are here to stay”, the report says. Hybrid courses allow more flexibility in course design; institutions can ramp up capacity as needed and cater even more to the diverse needs of students. However, most students still prefer face-to-face teaching.

Newly learned technical skills and technical support have played a predominant role. In some places, new course models have been developed together with the learners. On the other hand, classic practices (such as frequent assessments, breakout groups during live course meetings, and check-in messages to individual students) remain high on the agenda. However, corona has brought mental and social health of all participants into sharper focus; it should also receive even more attention according to the Horizon Report.

Quality Online Learning

The coronavirus came along and everything suddenly had to take place online. So it is little wonder that the need to design, meaningfully evaluate and adapt high-quality online learning opportunities has increased enormously. Some were surprised to find that teaching online involved more effort than simply offering the on-site event via Zoom. In order to achieve learning success, online quality assurance became an issue of utmost relevance.

Early in the pandemic, therefore, institutes began to develop online portals or hubs that included materials and teaching strategies adapted to the situation: for content delivery, to encourage student participation and to rethink assessment mechanisms.

A positive example is the twelve-module course “Quickstarter Online-Lehre” (Quickstarter Online Teaching, German) by the Hochschulforum Digitalisierung – German Forum for Higher Education in a digital age and the Gesellschaft für Medien in der Wissenschaft (Society for media in science) from Germany. This course aims to support teachers with no or little online experience.

This text has been translated from German.

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