Zeynab Mohseni

Zeynab (Artemis) Mohseni received her associate degree in Software Computer, her B.Sc. in Computer Engineering and her M.Sc. in Computer Engineering from Iran. From 2017 to 2019 she worked as a researcher at Universidad Antonio de Nebrija, Madrid, Spain. Her research interest is in the area of Visual Learning Analytics (VLA).

Teaching

Teaching assistant in the following courses:

1DV437 - Basic game programming (1 year)
4ME603 - Computer logical thinking and programming in school (1 year)
1DV534 - Object Oriented Programming with C ++ (1 year)
1DV533 - Structured programming with C ++
(3 years)
4DV510 - Data Mining (3 years)
4DV807 - Project in visualization and data analysis (3 years)
4DV805 - Information Visualization (1 year)
4DV806 - Advanced Information Visualization and Applications (1 year)

Research

My research focuses on Visual Learning Analytics (VLA) tools for teachers to support decision-making and learning trajectories. This topic is part of the EdTechLnu research group that aims to better understand and engineer complex educational data. I develop VLA approaches and tools to analyze data collected from Digital learning resources. In consequence, teachers are enabled to better understand the students' learning progress. By merging diverse individual visualizations, VLA tools also assist teachers in facilitating and promoting students' study achievements.

In 2022, I was one of two winners of Linnaeus University's EUniWell's pitch competition for doctoral students in individual and social sustainability as well as environment and sustainability. The scholarship was 500 euros each and a workshop in science communication at Nantes Université, France. See the news item in Swedish below.

In the media

My research groups

My ongoing research projects

Publications

Article in journal (Refereed)

Masiello, I., Mohseni, Z., Palma, F., Nordmark, S., Augustsson, H., et al. (2024). A Current Overview of the Use of Learning Analytics Dashboards. Education Sciences. 14 (1).
Status: Published
Mohseni, Z., Masiello, I., Martins, R.M. (2023). Co-Developing an Easy-to-Use Learning Analytics Dashboard for Teachers in Primary/Secondary Education : A Human-Centered Design Approach. Education Sciences. 13 (12).
Status: Published
Masiello, I., Fixsen, D.L., Nordmark, S., Mohseni, Z., Holmberg, K., et al. (2023). Digital transformation in schools of two southern regions of Sweden through implementation-informed approach : A mixed-methods study protocol. PLOS ONE. 18 (12).
Status: Published
Mohseni, Z., Martins, R.M., Masiello, I. (2022). SBGTool v2.0: An Empirical Study on a Similarity-Based Grouping Tool for Students’ Learning Outcomes. Data. 7 (7).
Status: Published

Conference paper (Refereed)

Mohseni, Z., Masiello, I., Martins, R.M. (2023). Towards a Teacher-Oriented Framework of Visual Learning Analytics by Scenario-Based Development. DCECTEL 2023 Doctoral Consortium of ECTEL 2023 : Proceedings of the Doctoral Consortium of the 18th European Conference on Technology Enhanced Learning (DCECTEL 2023)co-located with the 18th European Conference on Technology Enhanced Learning (EC-TEL 2023)Aveiro, Portugal, 4-8 September 2023. 12-17.
Holmberg, K., Andersson Gidlund, T., Masiello, I., Rack, J., Mohseni, Z. (2023). Teachers' approaches to digital technology : when organizations' and teachers' practices are not constructively aligned. Nordic Educational Research Association (NERA): Digitalization and Technologies in Education Opportunities and Challenges 15 -17 March, 2023.
Mohseni, Z., Martins, R.M., Masiello, I. (2021). SAVis : a Learning Analytics Dashboard with Interactive Visualization and Machine Learning. CEUR Workshop Proceedings, Volume 2985.
Mohseni, Z., Martins, R.M., Masiello, I. (2021). SBGTool : Similarity-Based Grouping Tool for Students’ Learning Outcomes. Proceedings of the 2021 Swedish Workshop on Data Science (SweDS).
Mohseni, Z., Martins, R.M., Milrad, M., Masiello, I. (2020). Improving Classification in Imbalanced Educational Datasets using Over-sampling. Proceedings of the 28th international conference on computer in education. 278-283.

Chapter in book (Refereed)

Masiello, I., Mohseni, Z., Nordmark, S. (2023). Trends and Issues of Digital Learning in Sweden. Trends and Issues of Promoting Digital Learning in High-Digital-Competitiveness Countries : Country Reports and International Comparison. Taiwan, Technological and Vocational Education Research Center (TVERC), National Taiwan Normal University, Taiwan and K-12 Education Administration (K12EA), Ministry of Education, Taiwan. 311-347.

Article in journal (Other academic)

Mohseni, Z., Kiani, V., Rahmani, A.M. (2019). A Task Scheduling Model for Multi-CPU and Multi-Hard Disk Drive in Soft Real-time Systems. International Journal of Information Technology and Computer Science. 11 (1).
Status: Published
Mohseni, Z., Reviriego, P. (2019). Reliability Characterization and Activity Analysis of lowRISC Internal Modules against Single Event Upsets Using Fault Injection and RTL Simulation. Microprocessors and microsystems. 71.
Status: Published
Mohseni, Z., Reshadi, M. (2018). A Deadlock-free Routing Algorithm for Irregular 3D Network-on-Chips with Wireless Links. Journal of Supercomputing. 74 (2). 953-969.
Status: Published
Kiani, V., Mohseni, Z., Rahmani, A.M. (2015). Real-time Scheduling for CPU and Hard Disk Requirements-Based Periodic Task with Aim of Minimising Energy Consumption. International Journal of Information Technology and Computer Science. 7 (10). 54-60.
Status: Published