We are very happy that our research study on „Higher Education Landscape 2030“ is now online available – published in Springer Briefs in Education via Open Access.
This open access Springer Brief provides a systematic analysis of current trends and requirements in the areas of knowledge and competence in the context of the project “(A) Higher Education Digital (AHEAD)—International Horizon Scanning / Trend Analysis on Digital Higher Education.” It examines the latest developments in learning theory, didactics, and digital-education technology in connection with an increasingly digitized higher education landscape. In turn, this analysis forms the basis for envisioning higher education in 2030.Here, four learning pathways are developed to provide a glimpse of higher education in 2030: Tamagotchi, a closed ecosystem that is built around individual students who enter the university soon after secondary education; Jenga, in which universities offer a solid foundation of knowledge to build on in later phases; Lego, where the course of study is not a monolithic unit, but consists of individually combined modules of different sizes; and Transformer, where students have already acquired their own professional identities and life experiences, which they integrate into their studies. In addition, innovative practice cases are presented to illustrate each learning path.
[book @ publisher’s website (open access)]
[book @ researchgate]
Reference: Orr, D., Luebcke, M., Schmidt, J.P., Ebner, M., Wannemacher, K., Ebner, M., Dohmen, D. (2020) Higher Education Landscape 2030. A Trend Analysis Based on the AHEAD International Horizon Scanning. SpringerBriefs in Education. 978-3-030-44896-7
I am very pleased to be invited to the IT in Engineering Education conference at Bauman Moscow State Technical University for a short talk about the future of (digital) Higher Education.
I did a recording of the talk, which is now availabe online:
Our book chapter on „How to Foster Technology-Enhanced Learning in Higher Education“ got published:
In this research work, we deal with the topic of the integration of Technology Enhanced Learning in Higher Education. Due to the worldwide debate on digitalization in all possible sectors, educational institutions are asking how they can deal with this change and how they can prepare for the future. At Graz University of Technology, a pre-project was started to define a policy, which should help to encourage the start of new projects with a special focus to education. A participatory approach was utilized with the idea that each university member (lecturers, researchers, administrators or students) could provide input. Different measurements across the fields of education, research, administration, and transformation were carried out, summarized and consolidated to provide a final policy. The outcome of this publication will focus on the description of the whole process as well as the summary of the most interesting aspects, which were used for the final policy. Furthermore, an outlook on how the digital policy will be implemented in the following years will be provided.
[Book chapter online]
[Draft @ ResearchGate]
Reference: Ebner, M., Hell, T., & Ebner, M. (2019). How to Foster Technology-Enhanced Learning in Higher Education. In A. Elçi, L. Beith, & A. Elçi (Eds.), Handbook of Research on Faculty Development for Digital Teaching and Learning (pp. 402-416). Hershey, PA: IGI Global. doi:10.4018/978-1-5225-8476-6.ch020
Our chapter on „Learning Analytics Challenges to Overcome in Higher Education Institutions“ got published in the book „Utilizing Learning Analytics to Support Study Success“
While a large number of scientific publications explain the development of prototypes or the implementation of case studies in detail, descriptions of the challenges and proper solutions when implementing learning analytics initiatives are rare. In this chapter, we provide a practical tool that can be used to identify risks and challenges that arise when implementing learning analytics (LA) initiatives and discuss how to approach these to find acceptable solutions. In this way, implementers are given the opportunity to handle challenges early on and avoid being surprised at a critical moment in the project, which will save time, resources, and effort. We are aware that all aspects needed to successfully carry out learning analytics initiatives are co-dependent. Nonetheless, we identified and categorized the criteria necessary for implementing successful learning analytics initiatives. We conclude this chapter with an overview of the challenges faced and possible approaches that can be taken to facilitate the successful implementation of learning analytics.
[full article @ Springer]
[draft @ ResearchGate]
Reference: Leitner P., Ebner M., Ebner M. (2019) Learning Analytics Challenges to Overcome in Higher Education Institutions. In: Ifenthaler D., Mah DK., Yau JK. (eds) Utilizing Learning Analytics to Support Study Success. Springer, Cham
Today I am able to give a short talk about „(Digital) Higher Educaction“ at the „The New Student: Flexible Learning Paths and Future Learning Environments“ conference in Vienna.
Here you can find my slides for the talk:
Klicken Sie auf den unteren Button, um den Inhalt von www.slideshare.net zu laden.
At this year Ed-Media conference in Amsterdam we published our research work about „OER-Certification in Higher Education“.
Open Education Resources (OER) will play an important role in the future of higher education institutions at least in German-speaking countries. Due to the very strict copyright law OER seems to be the only possible solution in a long run. In this publication, we discuss the result of a nationwide special interest group (SIG) aiming to provide a nationwide strategy and solution for how higher education institutions can deal with this issue. A concept of OER certification will be presented, which is divided into two domains: The certification of the lecturers and the certification of the higher educations institutions themselves. In the end, the use of Open Badges is recommended as a certification method. The proposed concept can also be used by other institutions, independently of the education sector or the country.
[Draft @ ResearchGate]
Reference: Ebner, M. (2018). OER-Certification in Higher Education. In Proceedings of EdMedia: World Conference on Educational Media and Technology. pp. 1-6 Amsterdam, Netherlands: Association for the Advancement of Computing in Education (AACE)
Our workshop publication at this year LAK18-conference about „Involving Stakeholders in Learning Analytics: Opportunity or Threat for Learning Analytics at Scale?“ is now online available.
This article introduces the goal and activities of the LAK 2018 half-day workshop on the involvement of stakeholders for achieving learning analytics at scale. The goal of the half-day workshop is to gather different stakeholders to discuss at-scale learning analytics interventions. In particular the workshop focuses on learning analytics applications and learning dashboards that go beyond the implementation in a single course or context, but that have at least the potential for scaling across different courses, programs, and institutes. The main theme of the workshop is to explore how the involvement of different stakeholders can strengthen or hinder learning analytics at scale. The key findings, recommendations, and conclusions of the workshop will be presented in a summarizing report, which will be shaped as a SWOT analysis for stakeholder involvement for achieving learning analytics at scale.
[Full paper @ LAK 2018]
Reference: De Laet, T., Broos, T., Verbert, K., van Staalduinen, J.-P., Ebner, M. & Leitner, P. (2018) Involving Stakeholders in Learning Analytics: Opportunity or Threat for Learning Analytics at Scale? Workshop. In: Companion Proceedings 8th International Conference on Learning Analytcis & Knowledge. Sydney. pp. 602-606
We are proud that our article on „Learning Analytics in Higher Education—A Literature Review“ are named, discussed and cited on the website „student success“ of the three universities Leiden-Delft-Rotterdam.
The authors at the end argue that Learning Analytics imply moral practices. The ethical constraints drive the above-mentioned limitations to a wider extent and they ask for more and more consideration of the type of data used of Higher Education in Learning Analytics.
[Link to the online blogpost]
Our first publication at this year HCII 2017 conference was about „Development of a Dashboard for Learning Analytics in Higher Education“.
In this paper, we discuss the design, development, and implementation of a Learning Analytics (LA) dashboard in the area of Higher Education (HE). The dashboard meets the demands of the different stakeholders, maximizes the mainstreaming potential and transferability to other contexts, and is developed in the path of Open Source. The research concentrates on developing an appropriate concept to fulfil its objectives and finding a suitable technology stack. Therefore, we determine the capabilities and functionalities of the dashboard for the different stakeholders. This is of significant importance as it identifies which data can be collected, which feedback can be given, and which functionalities are provided. A key approach in the development of the dashboard is the modularity. This leads us to a design with three modules: the data collection, the search and information processing, and the data presentation. Based on these modules, we present the steps of finding a fitting Open Source technology stack for our concept and discuss pros and cons trough out the process.
[Publication @ Springer]
[Draft @ ResearchGate]
Reference: Leitner P., Ebner M. (2017) Development of a Dashboard for Learning Analytics in Higher Education. In: Zaphiris P., Ioannou A. (eds) Learning and Collabo- ration Technologies. Technology in Education. LCT 2017. Lecture Notes in Computer Science, vol 10296. pp. 293-301 Springer, Cham
Our chapter on „Learning Analytics in Higher Education – A Literature Review“ got published in the book Learning Analytics: Fundaments, Applications, and Trends.
This chapter looks into examining research studies of the last five years and presents the state of the art of Learning Analytics (LA) in the Higher Education (HE) arena. Therefore, we used mixed-method analysis and searched through three popular libraries, including the Learning Analytics and Knowledge (LAK) conference, the SpringerLink, and the Web of Science (WOS) databases. We deeply examined a total of 101 papers during our study. Thereby, we are able to present an overview of the different techniques used by the studies and their associated projects. To gain insights into the trend direction of the different projects, we clustered the publications into their stakeholders. Finally, we tackled the limitations of those studies and discussed the most promising future lines and challenges. We believe the results of this review may assist universities to launch their own LA projects or improve existing ones.
[Link to draft version @ ResearchGate]
Reference: Leitner, P., Khalil, M., Ebner, M (2017) Learning Analytics in Higher Education – A Literature Review. In: Learning Analytics: Fundaments, Applications, and Trends. Peña-Ayala, A. (Ed.). Springer International Publishing. DOI: 10.1007/978-3-319-52977-6_1. pp. 1-23