We are planning a new longitudinal study to start in August 2018 in secondary school. We will join our forces and led by three PIs Sanna Järvelä, Hanna Järvenoja and Jonna Malmberg together with a great group of post-docs and PhD students we aim to tackle how to make invisible complex cognitive, motivational, and emotional learning processes visible for people to help and support them in regulating themselves to learn and function more effectively. Our international collaboration with Professors Paul Kirschner, Allyson Hadwin and Roger Azevedo and their research teams continues. More exciting news to report soon.
I have spent the whole February visiting professor Roger Azevedo and his team at North Carolina State University. Roger Azevedo is a professor at the Department of Psychology, and he and his team are studying cognition, metacognition, motivation and affect in the context of self-regulated learning in computer-based learning environments. The SMART lab and LET share many similarities in the focus of research, and there has been collaboration between the two teams for years now, as both teams aim to understand learning processes using advanced technologies (e.g. virtual learning environments, physiological sensors).
The focus of my PhD studies is related to exploring patterns of regulation in collaborative learning situations and in my recent work I have been struggling with integrating heart rate measures collected during collaborative learning with video data coding, so it seemed like the perfect destination to deepen my understanding of using multimodal methods in learning research. The visit was also an exciting opportunity to gain an insight into the daily life at SMART lab.
During my stay there I had the chance to discuss best practices and current problems in analyzing multimodal data with the SMART team members (who were indeed smart!), and I also had a chance to present my work and get valuable feedback.
At the time of my visit there were several on-going data collections. One was related to Metatutor IVH, which uses an Intelligent Virtual Human in order to help students determine whether or not the content they are reading is useful for them or not. Another data collection was in Cary Acadamy, a local private school, where high school students were asked to complete a gamified STEM task in virtual reality developed by Lucid dream. It was really interesting to see how intuitively the students oriented themselves in the environment and how excited both the teachers and students were (not to mention the researchers). For more information about ongoing projects at SMARTLAB see here: https://psychology.chass.ncsu.edu/smartlab/#projects
As VR equipment is becoming more readily available and affordable, it is a very topical question how we can use it to better understand learning. One of the unique aspects about collecting data in a vr environment is that it is possible to easily collect data about where the users looked, what they “touched” where they turned, providing an insight into what the learner does, and how do the strategies used change over time. I also started wondering how it would be possible to set up a collaborative VR environment.
Besides visiting the smart lab, I also had the chance to meet Jeff Greene and his research team at Chapel Hill, where I could present my research and engage in interesting theoretical discussions. Thank you for the warm welcome!
I am very grateful to Roger and the whole team for making me feel part of the SMART family and for this learning opportunity! I am looking forward to possible future collaborations with the SMART team.
Marta Sobocinski, doctoral student at LET
Jonna Malmberg, a Post-Doctoral researcher from the SLAM project is visiting at the School of Informatics, University of Edinburgh, Scotland. The research visit will strengthen already existing networks with Prof. Dragan Gasevic and his research team.
Dragan Gasevic is a Professor and the Chair in Learning Analytics and Informatics in the Schools of Education and Informatics at the University of Edinburgh since February 2015.
Since SLAM research project builds in for interdisciplinary research, Dragan Gasevic and his team can provide and add valuable methodological knowledge in terms of how to process multichannel data that consists of physiological reactions and their associations for self-regulated learning. Specifically, they focus of investigating how machine learning methods can self-regulated in the context of collaboration.
During the research visit, Jonna has been working intensely with Postgraduate Student Oliver Fincham, who is a member of Institute for Adaptive and Neural Computation and Markus Hörmann. He is a research fellow at the chair of Teaching and Learning with Digital Media at the University of Technology Munich and works closely with Prof Maria Bannert.
The research visit at the beautiful and old city of Edinburgh provides Jonna a great opportunity to learn about state of the art research projects dealing with, for example Natural Language Processing (NLP) and machine-learning methods that can definitely be useful and valuable for the progress of the SLAM research project.
The SLAM research will continue!
Oulu University EUDAIMONIA strategic funding was given to our research proposal for the years 2018-2021:
Making Complex Learning processes Visible for Enabling Regulation:
Change human behavior for learning success (CLEVER change)
The PI is Sanna Järvelä and co-PI Paul Kirschner, and the SLAM team will contribute.
Our collaborators are Ass. Prof. Allyson Hadwin, University of Victoria Canada and Prof. Roger Azevedo from North Carolina State University.
In addition to recharging our batteries during the summer, the SLAM team has steadily progressed with its research. During the summer, the observational video analysis continued for the second round and several publications have taken great steps forward. A variety of challenges has been tackled in collaboration with the expertise of the Center for Machine Vision and Signal Analysis at the University of Oulu. Now, it’s time again to present some of the results and to get valuable feedback from colleagues around the world. What is a better place for that than the 17th EARLI conference in Tampere?
Every second year the European Association for Research on Learning and Instruction (EARLI) organizes a major conference for educational researchers. This year the EARLI conference will be hosted by the University of Tampere and most of the major names in learning sciences will be there. The SLAM team brings its contribution not only to the EARLI conference but also to the preceding Junior Researchers of Earli (JURE) conference with a variety of presentations (listed below).
SLAM at the 2017 EARLI CONFERENCE
TUESDAY, 29 AUGUST 2017
Multimodal data to measure students’ cognitive, metacognitive and motivation during learning - Sanna Järvelä, University of Oulu, Finland,
INVITED SYMPOSIUM, Time: 13:15-14:45, Location: Pinni B - B1097
Physiological synchrony during monitoring in collaborative learning - Márta Sobocinski, University of Oulu, Finland; Jonna Malmberg, University of Oulu, Finland; Sanna Järvelä, University of Oulu, Finland
SINGLE PAPER, Time: 15:15-16:45, Location: Main Building A - A4
How physiological data visualizations can be used to track socially shared regulation of learning - Jonna Malmberg, University of Oulu, Finland; Sanna Järvelä, University of Oulu, Finland; Ilkka Juuso, University of Oulu, Finland; Iman Alikhani, University of Oulu, Finland; Tapio Seppänen, University of Oulu, Finland
SYMPOSIUM, Time: 15:15-16:45, Location: Virta - 120
WEDNESDAY, 30 AUGUST 2017
Electrodermal Activity Arousal throughout a Full Physics Course: A Clue for Learning Regulation? - Héctor Javier Pijeira Díaz, University of Oulu, Finland; Paul A. Kirschner, Open University of the Netherlands, Netherlands; Sanna Järvelä, University of Oulu, Finland; Hendrik Drachsler, Open University of the Netherlands, Netherlands
POSTER PRESENTATION, Time: 08:30-10:00, Location: Main Building E - E222
THURSDAY, 31 AUGUST 2017
How regulation evolves during collaborative learning ? – triangulation of multimodal dataset - Sanna Järvelä, University of Oulu, Finland; Jonna Malmberg, University of Oulu, Finland; Márta Sobocinski, University of Oulu, Finland; Eetu Haataja, University of Oulu, Finland; Paul A. Kirschner, Open University of the Netherlands, Netherlands
SYMPOSIUM, Time: 10:15-11:45, Location: Main Building C - C8
FRIDAY, 1 SEPTEMBER 2017
Interplay of temporal changes in self-regulation, academic success and perceived group challenges - Muhterem Dindar, University of Oulu, Finland; Jonna Malmberg, University of Oulu, Finland; Sanna Järvelä, University of Oulu, Finland; Paul A. Kirschner, Open University of the Netherlands, Netherlands
SINGLE PAPER, Time: 17:30-19:00, Location: Linna - Väinö Linna (K104)
SATURDAY, 2 SEPTEMBER 2017
Designing and implementing retrospective dashboards for socially shared regulated learning - Sanna Järvelä, University of Oulu, Finland; Jonna Malmberg, University of Oulu, Finland; Hanna Jarvenoja, University of Oulu, Finland; Héctor Javier Pijeira Díaz, University of Oulu, Finland; Muhterem Dindar, University of Oulu, Finland; Paul A. Kirschner, Open University of the Netherlands, Netherland
SYMPOSIUM, Time: 10:30-12:00, Location: Pinni B - B3118
SUNDAY, 27 AUGUST 2017
Monitoring in collaborative learning and physiological synchrony – How they co-occur? - Eetu Haataja, University of Oulu, Finland; Jonna Malmberg, University of Oulu, Finland; Sanna Järvelä, University of Oulu, Finland
POSTER PRESENTATION, Time: 14:45-16:15, Location: Pinni B 3118
MONDAY, 28 AUGUST 2017
Progress in research on regulated learning: self-, co-, and socially shared regulation of learning - Sanna Järvelä, University of Oulu, Finland; Hanna Jarvenoja, University of Oulu, Finland
INVITED WORKSHOP, Time: 16:45-18:15, Location: Pinni B 4113
Please come to the sessions and discuss with us about the SLAM research!
The 7th International Learning Analytics and Knowledge (LAK) Conference is being held in Vancouver. Here Professor Järvelä's keynote presentation slides from the conference.
The Learning and Educational Technology (LET) research unit of the University of Oulu, where the SLAM research takes place, has a systematic research collaboration relationship with the Welten Institute of Open Universiteit in Heerlen, the Netherlands. Both groups share an interest in advancing our understanding of learning and the role of technology in supporting technology enhanced learning innovations.
As part of this ongoing collaboration, a PhD student in the SLAM project, Héctor J. Pijeira Díaz, visited the Welten Institute in the week of February 6th to 10th. There, Héctor had the opportunity to present the SLAM research to the overall audience, to the WEKIT project (http://wekit.eu/) team, and more specifically, the line of his PhD studies to the Technology Enhanced Learning Innovations (TELI) group at Welten Institute. These three presentations gave Héctor the opportunity to interact with the PhDs and staff there, be exposed to different viewpoints on his and other research, and receive constructive feedback on how to progress in a direction meaningful to the community.
Apart from these group presentations, Héctor was honoured to have 1:1 insightful meetings with researchers at different stages in their careers, from early stage PhD students to accomplished professors. The expertise of these researchers varied from learning sciences to learning technology to teaching as they belong to the three different groups the Welten Institute is comprised of, Fostering Efficient, Effective and Enjoyable Learning (FEEEL), TELI, and Teachers and Teachers’ Profesionalisation (T2P).
SLAM’s PhD student Héctor had the chance to learn about other relevant projects such as the abovementioned Wekit, the MOOQ project dealing with the quality of MOOC courses, and projects dealing with the biopsychology of learning and the impact of lifestyle on learning.
In a hands-on approach, Héctor was invited to an eye-tracking training session by the expert in the field Dr. Halszka Jarodzka (the SLAM first experiment data collection included eye-tracking); and also to try the latest version of the award-winning Presentation Trainer, which uses Microsoft Kinect Sensor technology to provide immediate feedback based on experts’ recommendations, on presentations aspects such as posture, hand position and movement, voice pitch and cadence, and more. The presentation trainer is developed by Dr. Jan Schneider.
Overall, the visit was a fruitful exchange of ideas from the SLAM project research and a variety of projects being carried out at the Welten Institute, all with the common goal of advancing our understanding of learning and the role of technology to support learning research and practice.
SLAM project is lucky to have Assistant Professor Omid Noroozi joining the team with his strong expertise. Below you can read his introduction:
"I am currently an assistant professor of Educational Technology at Wageningen University in the Netherlands. In my works, I design, implement and evaluate various Computer-Supported Collaborative Learning (CSCL) environments for argumentation-based learning. Specifically, I design various types of instructional interventions, e.g. scaffolding and scripting approaches, and test their effects on a variety of learning process and outcome aspects in both real educational and control-based laboratory settings. My projects covers a wide range of advanced qualitative and quantitative methods to analyze various aspects of learning processes and outcomes in CSCL environments.
It is an honour to be part of the SLAM project and work with a great team. Working on SLAM project provides me with the opportunity to be involved in a cutting-edge research domain in the learning sciences. What inspires me most about this project is the application of advanced technologies and the learning analytics to enhance regulation of individual and collaborative learning. I will start on the SLAM project with redrafting a paper on designing learning analytics dashboard feedback. In this paper the aim is to provide a conceptual framework for dashboards, by grounding feedback theories in the learning sciences and more precisely on regulatory mechanisms underlying learning processes. I hope to bring added value for this great project."
Collaboration with the Oulu University Center for Machine Vision and Signal Processing (CMVS) experts Dr. Ilkka Juuso and M.Sc. Iman Alikhani have produced powerful physiological data visualizations for the project. The next steps are to get hands-on and dive deeper into the data while at the same time further developing some of the technical aspects like quality of the data and types of visualizations.
We have also been exploring facial expression analysis opportunities in our collaborative learning session video data with Assoc. Prof. Guoying Zhao and Dr. Xiaohua Huang. This machine learning based method holds great potential for us to study and work with the data. The first experiments with parts of the video data are promising and the next step is to refine and apply the method to a larger set of data.
Assoc. Prof. Zhao will also present a keynote lecture at the forthcoming EARLI Special Interest Group 27, Online Measures of Learning Processes conference held in Oulu from November 29 through December 1. Members of the SLAM team are responsible for the local arrangements of the conference. We are also looking forward to presenting our first results and to contact with other researchers working with similar kinds of data-sets.
This year EARLI Metacognition Sig 16 was held in Nijmegen Netherlands. The SLAM team presented a poster in a workshop Using Data Visualizations to Understand and Reason about Self-Regulated Learning organized by Prof. Roger Azevedo, NC State university.
The SLAM team members, Dr Jonna Malmberg and Prof. Sanna Järvelä also presented their initial findings of using multichannel data to understand regulated learning in the context of collaboration in the symposiums 'Advances in scaffolding metacognition with advanced learning technologies' and E-CIR invited Symposium: Measuring and supporting students' self-regulated learning in adaptive educational technologies.
Encouraging feedback was received and many questions arised. Our discussant Prof. Phil Winne concluded that symposium represents state of the art in SRL research, but also reminded that it is important to consider what are the standards for new methodology.
"SLAM project harnesses advanced technologies to enhance strategic regulation of individual and collaborative learning"