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Research Interests

Artificial Intelligence and Education (AIED), Learning Analytics, Data Literacy, Technology Enhanced Learning (TEL), ICT & Learning, Learning games, intelligent tutoring systems, teacher inquiry, pedagogical agents, and socio-cultural perspectives on learning

Short Bio

Barbara Wasson, Director of the (SLATE), University of Bergen, Norway is a full Professor in the Department of Information Science & Media Studies. She was a member of the that delivered , and in  March 2025 Wasson was appointed to the Norwegian Ministry of Education and Research , which will deliver an NOU by October 2026. She is currently a member of the  (), the Council of Europe , the steering committee of , and the ���ϳԹ���Դ steering committee on  She was also the Program Co-Chair for the 14th International Conference on Learning Analytics & Knowledge 2024 (LAK24), Kyoto, Japan and is Chair of LAK26, organised by SLATE in Bergen in April 2026. She is leader of the Trond Mohn Research Foundation funded projects Artifical Intelligence in Education: Layers of Trust (EduTrust) and Trustworthy AI Synergy (TAIS). She teaches the very popular data literacy course DIGI110 Fantastisk data for students and staff and ���ϳԹ���Դ, and the continuing education version DIGI160 for external participants who are working in Norway. From Fall 2025 DIGI110 will be available for staff and students at the European University alliance CHARM. In addition, she led the PhD course at the Bergen Summer Research School (BSRS) and is the ���ϳԹ���Դ lead for the PhD course INFO900 Introduction to Learning Analytics. 

Wasson was one of the founders of Kaleidoscope, a European Network of Excellence on Technology Enhanced Learning, sat on the executive committee, and was leader of its CSCL SIG with over 400 members. Wasson is often used as and Expert evaluator by the European Commission. She is currently on the editorial board of the (iJET).  Wasson has been involved in research on AI and education since her Masters research starting in 1983. While a Ph.D student in Canada she was involved in research on intelligent tutoring systems, specifially the design of intelligent pedagogical agents for content planning. This work received wide attention within the International community and she was invited to numerous International workshops to present the work. Before moving to Norway in 1991, Wasson was an advanced educational research specialist on Marlene Scardamalia and Carl Bereiter's Computer Supported Intentional Learning Environment (CSILE) Project at OISE, University of Toronto, Canada, the first funded research project in the area of neetworked computers in the classroom. Subsequent to moving to Norway, Wasson’s research has focused on collaborative learning in distributed settings, mobile learning, interaction design, computer support for collaborative learning (CSCL), mobile learning, learning games, intelligent tutoring systems, AI and education, teacher inquiry, learning analytics, and pedagogical agents.  More recently she has developed expertise in data and AI literacy and led several projects (e.g., , NEXT-TELL) in this area. In 2003 Wasson obtained the contract for her previous research centre, InterMedia, to develop the ICT-based system to deliver the Norwegian National Tests in English for the Norwegian Ministry of Education (BITE-IT project). Wasson is/has been PI for numerous national and international projects and has over 140 publications in the overarching field of Technology Enhanced Learning.

KEYNOTES & INVITED PRESENTATIONS (selected)

2025

EUNIS 2025 Congress, KEYNOTE, Belfast, June 2025

Is Hybrid Intelligence the Future?

EUNIS 2025 Congress, FIRESIDE CHAT, Belfast, June 2025

Digital Rentiership (presented by Janja Komljenovic & discussed by Barbara Wasson & Claudia Feiner)

���ϳԹ���Դ: KI Kompetanseløft oppstartswebinar, INVITED TALK, Bergen, June 2025

GenAI Futures: What new competences do we need?

32nd ENIC-NARIC Annual Joint meeting, KEYNOTE, Tirana Albania, May 2025

AI and recognition: data, ethics and AI literacy

32nd ENIC-NARIC Annual Joint meeting, OXFORD DEBATE, Tirana Albania, May 2025

Should AI or Humans have the last say?

Psykologisk Fakultetets Pedagogisk Dag, INVITED TALK, Bergen, May 2025

Creating MICRO Courses: Examples from the ���ϳԹ���Դ DIGI courses

Universitets- og høgskolerådets årlig møte, INVITED TALK, Bodø (online), May 2025

AI & Higher Education

SLATE 10th Reunion, INVITED TALK, Bergen, May 2025

SLATE 10 Years!

SLATE 10th Reunion, INVITED TALK, Bergen, May 2025

Activity data for Assessment & Adaptation

SLATE 10th Reunion, INVITED TALK, Bergen, May 2025

AI LEARN

Education University of Hong Kong: Seminar for academic and teaching staff, INVITED TALK, online, May 2025

Implementing Learning Analytics

Industry 5.0: ​​Towards a more competitive industry in Europe, INVITED PANEL, Brussels, April 2025

The future of workforce: Addressing the skills gap and workforce needs to advance EU’s industrial competitiveness 

European Schoolnet Webinar, INVITED TALK, Brussels (online), March 2025

Data Literacy and Use for Teachers

Talent for AI in Science: EU Mutual Learning Exercise, INVITED PANEL, Oslo, February 2025

How can AI be taken into use in the Norwegian Research system?

2024

EARLI SIG27 Conference: Educational Design and Research using Responsible online process measures, INVITED COMMENTARY, Trondheim, November 2024

        Hybrid Intelligence: Human-AI Co-evolution and Learning 

DIGI-LINGOs Final Conference: Foreign language teaching in the classroom, INVITED TALK, Brussels, November 2024

        Data, Learning Analytics, and AI for Language Learning 

Pandemic Centre’s International Conference on Multicrises; Workshop on Explainable AI, INVITED PANEL, Bergen, October 2024

        Conversation with Experts: AI: A Problem or Solution?  Data, Learning Analytics, and AI for Language Learning

Pandemic Centre’s International Conference on Multicrises; Workshop on Explainable AI, INVITED TALK, Bergen, October 2024

         Socio-technical perspectives on Trust and AI 

Finnish Learning Analytics and Artificial Intelligence in Education Conference 2024, KEYNOTE, Joensuu, Finland, September 2024

         Data og kunstig intelligence

UPGRADE PhD School , KEYNOTE, Vaxjö, August 2024

         Historic Overview of AI in Education

Artificial Intelligence in Education Festival, Onasis Research Foundation, INVITED PANEL MEMBER, Athens, July 2024

         Ethics of AI in Education

Parliments on the Web, Stortingets conference, KEYNOTE, Oslo, April 2024 

         Empowering Citizens to use Open Data

InfoMedia Research Seminar, ���ϳԹ���Դ, Bergen, INVITED TALK, April 2024

          Writing Research Proposals

EDUTECH Congress Barcelona, Barcelona, KEYNOTE, April 2024

          Implementing Learning Analytics & AI in Education 

EDUTECH Congress Barcelona, Barcelona, PANEL, April 2024

          AI in Education 

Online Education Seminar, Japan (online), INVITED TALK, April 2024

          Implementing Learning Analytics & AI in Education  

European Schoolnet, Brussels (online), INVITED TALK, March 2024

          DALI: Data Literacy for Adults

Nordic Educational Research Associate Congress (NERA), Malmö, Sweden, SEMINAR, March 2024

            Implementing Learning Analytics & Adaptive AI in Education in Norway: Possibilities & Challenges

UDIR Rundebordskonferanse, Oslo, INVITED TALK, February 2024

            EduTrust AI

HiØ Faculty of Education Seminar, Fredrikstad, INVITED TALK, January 2024

            Kunstig intelligens og utdanning: muligheter og utfordringer

Department of Mathematics, ���ϳԹ���Դ, Bergen, INVITED TALK, January 2024

           Læringsanalyse og kunstig intelligens i utdanning

Department of Mathematics, ���ϳԹ���Դ, Bergen, INVITED TALK, January 2024

          Resesearch @ SLATE

2023

LEAD AI, Kick-off, Bergen, INVITED TALK, November 2023

          Responsible AI 

AVT Project, Leverandørmøtet, Oslo, November 2023

          Læringsanalyse i AVT 

HVL, Bruk av ChatBot i studentoppgåver: Yay eller Nay?, Funchal, Maderia, PANEL, November 2023

          Chatbots i studentoppgåver?

CELDA Conference, Funchal, Maderia, KEYNOTE, October 2023

          Implementing Learning Analytics in Norway: Reflections

HK-dir Divisjonssamling, Bergen, INVITED TALK, August 2023

          KI i utdanning: trussel eller mulighet?

Norwegian Ministry of Education Seminar, Oslo, INVITED TALK, June 2023

          SLATE, LA & KI i utdanning

Artificial Intelligence in Nordic School Life Workshop 3, University of Oulu, INVITED TALK, June 2023

          Algorithms, Data, AI in Nordic Schools (ADA)

Council of Europe Webminar, Artificial Intelligence & Academic Integrity, INVITED TALK, April 2023

          Trust in Artificial Intelligence in Education: A complex social phenomenon

CSEDU Conference, Praha, KEYNOTE, April 2023

          Implementing Learning Analytics

���ϳԹ���Դ AI Seminar on ChatGPT – Threats or Possibilities? Invited Talk, February 2023

            Consequences of CHATGPT Elicit.org for Research

Fagskole Frokost Seminar, Invited Talk & 2 Podcast Interviews, February 2023

            Introduksjon til læringsanalyse

2022

Centre for Connective Intelligence, Invited Talk, Beijing Normal University, Zhuhai, December 2022 

            Learning Analytics: Some Central Dilemmas (Norwegian white paper)

ISO SC36/WG8 Workshop, Invited Talk, November 2022

            Introduction to Learning Analytics

ISO SC36/WG8 Workshop, Invited Talk, November 2022

            Implementing Learning Analytics in Norway

ISO SC36/WG8 Workshop, Invited Talk, November 2022

            National Expert Group on Learning Analytics: Interim Report Findings

National Institute of Education, Invited Talk, Nanyang Technological University, Singapore,Nov 2022

            Implementing AI in Education and Learning Analytics in Norway

Natur & Kultur, Stockholm, Invited Talk, October 2022

            Implementing Learning Analytics in Norwegian Schools

Annual Meeting for Learning Technology, KEYNOTE, University of North Texas, October 2022 

            Data, learning analytics & AI in Education

SEIS Graduate School on Games & Learning, Invited Talk, September 2022

            Games & LA Research at SLATE

Learning Analytics Symposium, University of Oslo, Invited Talk, September 2022

            Implementing Learning Analytics 

Legevakt Medisin Seminar, Invited Talk, April 2022

            Research at SLATE

Expert Group on Learning Analytics, Norwegian Ministry of Education, Invited Talk, March 2022

            Aktivitetsdata for Vurdering og Tilpassning

Norwegian Naval Academy, Invited Talk, March 2022

            Technology Enhanced Learning: Games and Learning (Analytics)

Kunstig Intelligens og Læringsanalyse i Utdanning, National Symposium, February 2022

            KI og LA i Utdanning

Kunstig Intelligens og Læringsanalyse i Utdanning, National Symposium, February 202

            Aktivitetsdata for Vurdering og Tilpassning

2021

EDULEARN, KEYNOTE, Online, July 2021

            DATA & Learning Analytics

Spanish Learning Analytics Summer Institute, KEYNOTE, Online, July 2021

          Learning Analytics 

ICALT, KEYNOTE, Online, June 2021 

Implementing Learning Analytics for Adaptive Learning in Schools 

2020

UNESCO Mobile Learning Week 2020, ICDE Workshop, Paris, February 2020 (Panel)

            Inclusion through AI: Models for online, open and distance learning

2019

OEB Shaping the Future of Learning, Berlin, November 2019 (Presentation & Panel)

            How Will Emerging Technologies Influence Personalisation, Efficiency, Costs, Ethics and Trust in                    

            Online, Open and Distance Education?

SETTdagene, Lillestrøm, November 2019

            Hvordan bør AI brukes innen dagens og fremtidens utdanning?

Utdanningspolitisk toppmøte, Oslo, November 2019

            Teknologiutvikling og læring gjennom hele utdanningsløpet

BI Personnel Meeting, Oslo, November 2019

            Learning Analytics in Higher Education

Learning Analytics in Higher Education, National Symposium, October 2019

            Introduction to Learning Analytics

NAUS 2019: The Digital Worksplace – Skills for a Changing World, Tromsø, August 2019

            Artificial Intelligence Meets Learning Analytics

Digitaliseringskonferansen for høyere utdanning og forskning, NTNU, June 2019

            The Role of Learning Analytics in Digitalisation of Higher Education

EdMedia + Innovate Learning, Amsterdam, June 2019

            Learning Analytics and its Role in Education

Italian Learning Analytics Conference, Rome, May 2019

            What is Learning Analytics

Digital transformation of society – key challenges and knowledge needs, CeDIT, U. of Agder, April 2019

            Digital Transformation of Education (presentation & expert panel)

2018

Goethe Institute, Oslo, November 2018

            Artificial Intelligence & the Future of Language Learning

UDIT, Svalbard, September 2018

            Learning Analytics: What is it and what is its role in Education?

SHEILA Conference, Brussels, June 2018 (Expert Panel member)

            Experience with Learning Analytics at the University of Bergen

Profesjonene i Digitaliseringsens Tid - tar Maskinene Over? Årskonferanse, Senter for Profesjonsstudier,  OSLOMET, Dec. 2018

            Artificial Intelligence in Education

2017

Assessment in Higher Education, Kristiansand, October 2017

            Learning Analytics, What is it for?

VIZRT AS (International Leader Seminar), MediaCity, Bergen, October 2017

            What is Learning Analytics?

ICDE Leadership Summit, Nancy, France, May 2017

            Learning Analytics, What is it for?

UNESCO Visionary Leadership Summit, UNESCO, Paris May 2017

            Learning from the Past

2014

IT Women in New Brunswick, Fredericton, NB, Canada, January 2014

            Technology Enhanced Learning Research

, (PhD course, 3-13 June 2024)

(PhD course)

(Masters course)

DIGI610: Fantastiske data (EVU, Continuing Education course)

(EVU, Continuing Education course)

(EVU, Continuing Education course)

DIGI110 Fantastiske data (Bachelor course, every semester)

2025

Kalisia, R., Baker, R.S., Wasson, B. & Prinsloo, P. (2025, in press). The Coming but Uneven Storm: How AI Regulation Will Impact AI & Learning Analytics Research in Different Countries. Journal of Learning Analytics, 12 (2). ISSN 1929-7750 (online) 

2024

Barendregt, R., Lamo, Y., & Wasson, B. (2024). Improving Self-Report Diaries: A Respondent-Centric Design Approach. In BIOSTEC (2) (pp. 529-536). 

Barendregt, R., Wasson, B., Heitmann, M. (2024). Usability Evaluation of NOW Interactions. In: Zaslavsky, A., Ning, Z., Kalogeraki, V., Georgakopoulos, D., Chrysanthis, P.K. (eds) Mobile and Ubiquitous Systems: Computing, Networking and Services. MobiQuitous 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 594. Springer, Cham. 

Castañeda, L., Arnab, S., Tur, G., Klykken, F., Wasson , B., Haba-Ortuño, I., Maloszek , R., & De Benito-Crosetti, B. (2024). Co-creación pedagógica de juegos para la alfabetización en Datos . Revista De Educación, 1, 39–69. 

Flanagan, B., Wasson, B. & Gašević, D. (2024). Proceedings of the Fourteenth International Conference on Learning Analytics & Knowledge. March 18-22, Kyoto, Japan. Society for Learning Analytics Research. New York: ACM. ISBN: 979-8-4007-1618-8

Khalil, M., Wong, J., Wasson, B. & Paas, F. (2024). Adaptive support for self-regulated learning in digital learning environments. British Journal of Educational Technology, 55 (4).  (Special Issue editors)

Ness, I.J., Klykken, F.H., Barendregt, R., Wasson, B. & Steinsund, S. (2024). Beyond the Digital: Analogue Games´ Creative Potential in Deepening Data Literacy. Vol. 18 No. 1 (2024): Proceedings of the 18th European Conference on Games Based Learning. 

Viberg, O., Cukurova, M., Feldman-Maggor, Y., Alexandron, G.; Shirai, S., Kanemune, S., Wasson, B., ‍Tømte, C.E., Spikol, D., Milrad, M., Coelho, R. & Kizilcec, R. F. (2024) What Explains Teachers’ Trust in AI in Education Across Six Countries?. International Journal of Artificial Intelligence in Education. DOI: 

Wasson, B., Giannakos, M., Blikstad-Balas, M., Uppstad, P. H., Langford, M. & Bøhn, E. D. (2024). Implementing Learning Analytics in Norway: Four Central Dilemmas. Journal of Learning Analytics, 11(2), 268-280. https://doi.org/10.18608/jla.2024.8241

2023

Børte, K., Lillejord, S., Jessica, J., Wasson, B. & Greiff, S. (2023). Prerequisites for teachers’ technology use in formative assessment practices: A systematic review. Educational Research Review, 41, 100568. ISSN 1747-938X. 

Elmoazen, R., Saqr, M., Khalil, M., Wasson, B. (2023) Learning analytics in virtual laboratories: a systematic literature review of empirical research. Smart Learning Environments, 10(23). 

Hansen, C., Ness, I.J., Wasson, B., Lakkala, M., Dagienė, V., Juškevičienė, A., Masiulionytė-Dagienė, V., Sillat, L. H., Mikeladze, L.H., M. & Nakashidze, T. (2023). Digital Innovation Practices in Participating Schools. iHubs4Schools Research Report D1.2. European Commission. Grant Agreement:101004676.

Ley, T, Tammets, K., Pishtari, G., Chejara, P., Kasepalu, R., Khalil, M., Saar, M., Tuvi, I., Väljataga, T. & Wasson, B.  (2023). Towards a partnership of teachers and intelligent learning technology: A systematic literature review of model-based learning analytics. Journal of Computer Assisted Learning, 1-21. 

Misiejuk K., Ness I.J., Gray R. & Wasson, B. (2023) Changes in online course designs: Before, during, and after the pandemic. Frontiers in Education, 7, 996006. doi: 10.3389/feduc.2022.996006

Salomão Filho, A., Wasson, B., Lameras, P., & Maloszek, R. (2023). Data literacy for citizenry: A few policy recommendations from a literature review. Edutec. Revista Electrónica De Tecnología Educativa, (86), 6-21.

Vindenes, J. & Wasson, B. (2023). Constructing hermeneutical relations: a postphenomenological inquiry into immersive VR memory palaces. Virtual Reality, 27, 3239–3258. 

2022

Breien, F.S. & Wasson, B. (2022). eLuna: A Co-Design Framework for Narrative Digital Game-Based Learning that Support STEAM, Frontiers in Education, 6:775746.

Datatilsynet (2022). AVT: Sluttrapport fra sandkasseprosjektet med KS, SLATE ved ���ϳԹ���Դ og Utdanningsetaten i Oslo kommune. Temaer: Rettslig grunnlag, personvernkonsekvensvurdering (DPIA) og åpenhet.    (Wasson participated in the work and contributed to the final report)

Holmes, W., Persson, J., Chounta, I-A, Wasson, B. & Dimitrova, V. (2022). Artificial Intelligence and Education. A critical view through the lens of human rights, democracy and the rule of law. Council of Europe. ISBN 978-92-871- 9236-3. https://www.coe.int/en/web/education/-/new-isbn-publication-artificial-intelligence-and-education  

Klašnja-Milićević, A.,  Ivanović, M.,  Vesin, B., Satratzemi, M. & Wasson. B. (2022). Learning Analytics – Trends and Challenges. Editorial. Frontiers in Artificial Intelligence, vol 5. ISSN 2624-8212

Ministry of Education (June 2022). Læringsanalyse – noen sentrale dilemmaer. Delrapport fra ekspertgruppen for digital læringsanalyse. Kunnskapsdepartement.  (Wasson is Expert group member and contributor to the report)

2021

Misiejuk, K. & Wasson, B. (2021). Backward Evaluation in Peer Assessment: A Scoping Review, Computers & Education, 175, Article 104319,  

Misiejuk, K., Wasson, B. & Egelandsdal, K. (2021) Using learning analytics to understand student perceptions of peer feedback. Computers in Human Behaviour, 117, 1-13.

Samuelsen, J., Chen, W. & Wasson, B. Enriching context descriptions for enhanced LA scalability: a case study. Research and Practice in Technology Enhanced Learning (RPTEL) 16, 6 (2021).

Vindenes, J. & Wasson, B. (2021). Postphenomenological Framework for Studying User Experience of Immersive Virtual Reality. Frontiers in Virtual Reality, 2,

2020

Breien, F.S. & Wasson, B. (2020). Narrative Categorization in Digital Game-Based Learning: Engagement, Motivation & Learning.  British Journal of Educational Technology, 52(1) 91-111). DOI:

Misiejuk, K. & Wasson, B. (2020). DigiTrans: Trends in Learning Design in Canvas Courses after Covid-19. SLATE Research Report 2020-3, Bergen, Norway: Centre for the Science of Learning & Technology (SLATE). ISBN: 978-82-93789-07-9

Viberg, O., Wasson, B., & Kukulska-Hulme, A. (2020). Mobile Assisted Language Learning through Learning Analytics for Self-Regulated Learning (MALLAS): A Conceptual Framework. Australasian Journal of Educational Technology, 1-18. DOI: 10.14742/ajet.6494

Wasson, B. & Kirschner, P. (2020) Learning Design: European Perspectives. TechTrends. Springer.                        DOI: 10.1007/s11528-020-00498-0 (ranked 7th in the NIDL 2020 top 10 articles on digital learning)

2019

Ferguson, R., Coughlan, T., Egelandsdal, K., Gaved, M., Herodotou, C., Hillaire, G., Jones, D., Jowers, I., Kukulska-Hulme, A., McAndrew, P., Misiejuk, K., Ness, I. J., Rienties, B., Scanlon, E., Sharples, M., Wasson, B., Weller, M. and Whitelock, D. (2019). . Milton Keynes: The Open University.

Hansen, C.J.S. & Wasson, B. (2019) As vendors and teachers see it: Opportunities and challenges in the use of learning analytics. In Proceeding of the 3rd Annual Learning & Student Analytics Conference (LSAC 2019). 22-23 Oct. Nancy, France.

Hansen, C.J.S., Netteland, G., Wasson, B., Wake, J. (2019). . SLATE Research Report 2019-2, Bergen, Norway: Centre for the Science of Learning & Technology (SLATE).‍ Available at:

Morlandstø, N.I., Hansen, C.J.S., Wasson, B., Bull, S. (2019). SLATE Research Report 2019-1, Bergen, Norway: Centre for the Science of Learning & Technology (SLATE). ISBN: 978-82-994238-7-8 Available at:

Samuelsen, J., Chen, W. & Wasson, B. (2019). Integrating multiple data sources for learning analytics—review of literature. Research and Practice in Technology Enhanced Learning, 14:11

Wake, J.D., Wasson, B., Bjørgen, E.P., & Heimsæter, F. (2019). Supporting firefighter training through visualising indoor positioning, motion and time use data. In: Z. Franco, J.J. Gonzales & J.H. Canos: Proceedings of the 16th ISCRAM Conference, (pp. 1173 - 1182), Valencia, Spain, May,  2019.‍

Wasson, B., Morlandstø, N.I. & Hansen, C.J.S. (2019). , Bergen, Norway: Centre for the Science of Learning & Technology (SLATE).‍ Available at:

Wasson, B., Morlandstø, N.I. & Hansen, C.J.S. (2019). , Bergen, Norway: Centre for the Science of Learning & Technology (SLATE). Available at:

2018

Glăveanu, V., Ness, J., Wasson, B., & Lubart, T. (2018). Sociocultural Perspectives on Creativity, Learning, and Technology. In C. Mullin (Ed.) Creativity Under Duress in Education? Creativity Theory and Action in Education, 3, (pp. 63-82).  Cham, Switzerland: Springer.​

Guribye, F., Selander, S., Åkerfeldt, A., Bergdahl, N., Cerrato-Pargman, T., & Wasson, B. (Eds.)(2018). Design & Learner-Centric Analytics. Proceedings of the 6th International Conference on Designs for Learning. Bergen, Norway.

Netteland, G., Hansen, C.J.S. & Wasson, B. (2018). Professional Competence Development of future Healthcare Leaders. In E. Ugon, D. Karlsson, G.O. Klein, & A. Moen, (Eds.), Proceedings of the Medical Informatics Europe Conference (MIE 2018). Gothenburg, Sweden.

Vindenes, J., de Gortari, A. O., & Wasson, B. (2018). Mnemosyne: Adapting the Method of Loci to Immersive Virtual Reality. In L.T. De Paolis, & P. Bourdot (Eds.) International Conference on Augmented Reality, Virtual Reality and Computer Graphics. Lecture Notes in Computer Science (pp. 205-213). Cham, Switzerland: Springer.

Wake, J..D., Guribye, F. & Wasson, B. (2018). Learning through Collaborative Design of Location-based Games. International Journal of Computer Support for Collaborative Learning. International Journal of Computer Support for Collaborative Learning  (ijcscl), 13 (2), 167-187; doi:10.1007/s11412-018-9278-x. 

Wake, J.D, Morlandstø, N., Pham, K. & Wasson, B. (2018). The Learning Analytics Portal: The Development of a National Community Resource for Learning Analytics. In: A. Pardo, K. Bartimote-Aufflick, G. Lynch, S. Buckingham Shum, R. Ferguson, A. Merceron, X. Ocho (Eds). Companion Proceedings of the 8th International Conference on Learning Analytics and Knowledge (LAK 2018), 76-83. Sydney, Australia: Society for Learning Analytics Research.

2017

Hansen, C.J.S., Wasson, B., Skretting, H., Netteland, G. & Hirnstein, M.  (2017).  When Learning is High Stake.  Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 564-565. Vancouver, BC, Canada; March 13 - 17. 

Mieisjuk, K. & Wasson, B. (2017). State-of-the-Field Report on Learning Analytics & Knowledge. SLATE Research Report 2017-2. Bergen: Centre for the Science of Learning & Technology (SLATE). ISBN:978-82-8088-417-6   

Oliver, M., Avramides, K., Clark, W., Hunter, J., Luckin, R. Hansen, C.J.S. & Wasson, B. (2017). Sharing teacher knowledge at scale: teacher inquiry, learning design and the representation of teachers' practice. Teacher Development,

2016

Bull, S. & Wasson, B. (2016). Competence visualisation: Making sense of data from 21st-century technologies in language learning. ReCALL, 28(2),147-165.

Hansen, C., Netteland, G. & Wasson, B. (2016). Learning analytics and open learning modelling for professional competence development of firefighters and future healthcare leaders. CEUR Workshop Proceedings, 1601, 87-90.

Hansen, C. & Wasson, B. (2016). Teacher inquiry into student learning: The TISL heart model and method for use in teachers' professional development. Nordic Journal of Digital Literacy, 10, 24-49. 

Luckin, R., Hansen, C., Wasson, B., Clark, W., Avramides, K., Hunter, J. & Oliver, M. (2016).  Teacher Inquiry into Students' Learning: Researching Pedagogical Innovations. In P. Reimann, S. Bull, M. Kickmeier-Rust, R. Vatrapu & B. Wasson (Eds) Measuring and Visualizing Learning in the Information-Rich Classroom. Routledge, 74-91. ISBN 9781138021136

Netteland, G., Wasson, B., Hansen, C. & Hirnstein, M. (2016).  Learning analytics and open learning modelling for professional competence development. In NOKOBIT - Norsk konferanse for organisasjoners bruk av informasjonsteknologi, 24(1) Suppl. NOKOBIT, 1-5.

Reimann, P., Bull, S., Kickmeier-Rust, M., Vatrapu, R. & Wasson, B. (2016). Measuring and Visualizing Learning in the Information-Rich Classroom. Routledge. ISBN 9781138021136

Reimann, P., Bull, S., Kickmeier-Rust, M., Vatrapu, R. & Wasson, B. (2016). Introduction. In P. Reimann, S. Bull, M. Kickmeier-Rust, R. Vatrapu & B. Wasson (Eds) Measuring and Visualizing Learning in the Information-Rich Classroom. Routledge, ix-xvi. ISBN 9781138021136

Reimann, P., Bull, S., Kickmeier-Rust, M., Vatrapu, R. & Wasson, B. (2016). Preface. In P. Reimann, S. Bull, M. Kickmeier-Rust, R. Vatrapu & B. Wasson (Eds) Measuring and Visualizing Learning in the Information-Rich Classroom. Routledge, vii-viii. ISBN 9781138021136

Sørensen, B. H., Selander, S., Wasson, B. & Wenneström, S. (2016). Designs for Learning – Taking a Step Forward. Designs for Learning, 8(1), 23-24

Wasson, B. & Hansen, C. (2016). Data Literacy and Use for Teaching. In P. Reimann, S. Bull, M. Kickmeier-Rust, R. Vatrapu & B. Wasson (Eds) Measuring and Visualizing Learning in the Information-Rich Classroom. Routledge, 56-73. ISBN 9781138021136s

Wasson, B. & Hansen, C. (2016).  Inquire Competence for better Practice and Assessment (iComPAss). Poster @ Utdanningskonferanse 2016, Oslo, 11 November.

Wasson, B., Hansen. C. & Mor, Y. (2016). Grand Challenge Problem 11: Empowering Teachers with Student Data. I: Grand Challenge Problems in Technology Enhanced Learning II: MOOCs and Beyond, 55-58. Springer 2016 ISBN 978-3-319-12561-9

Wasson, B., Hansen, C. & Netteland, G. (2016).  Data literacy and use for learning when using learning analytics for learners. CEUR Workshop Proceedings, 1596, 38-41.

DIRECTOR

CURRENT PROJECTS

KS funded

(co-PI, ���ϳԹ���Դ leader)

Trond Mohn Research Foundation funded

AI in Educaiton: Layers of Trust (EduTrust AI) (leader)

Trustworthy AI Synergy (TAIS) (leader)

PREVIOUS PROJECTS

EU funded

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(March 2008 - February 2012) (���ϳԹ���Դ project leader)

     The Science Created by You (SCY) EU-project develops a system for constructive and productive learning of science and                   technology by using a flexible and adaptive pedagogical approach to learning.

Network of Excellence (Co-PI; ���ϳԹ���Դ leader)

      KALEIDOSCOPE focused on Concepts and methods for exploring the future of learning with digital technologies.

Erasmus + funded:

 (coordinator)

(���ϳԹ���Դ leader)

(participant)

(participant)

NOS-HS funded

Artificial Intelligence in Nordic School Life (aiLife) (co-PI, ���ϳԹ���Դ leader)

HK-dir funded

DataReisen  ( + EVU kurs), Kompetanse Norge (leader)

���ϳԹ���Դ funded

(leader)

Vestlandfylkeskommune funded

Inføring av KI i videregående skoler i Vestland (participant)

SLATE funded

Artificial Intelligence in Education

KS funded

(co-PI, ���ϳԹ���Դ leader)

Norgesuniversitetet funded