[IRIS] CfP Learning Analytics

[Sara Willermark (HV)]

Dear Colleagues,


Please find the Call for Papers for HICSS 2023 and the minitrack on “Learning Analytics”
(Track: “Decision Analytics and Service Science”)  https://bit.ly/3K8dFzt

The deadline for the submission of papers is June 15, 2022.
Below you will find the full text of the track's CfP.

All the best,

Sara Willermark
Anna Sigridur Islind
María Óskarsdóttir
Galina Deeva


Learning Analytics Minitrack

The use of technology to support students’ learning has become an increasingly prominent feature of educational settings in general. The use of learning management systems to support educational settings is not new, but the vast amount of data being gathered through both students’ and teachers’ use of them, is however understudied. Because of the huge amounts of data that is now being generated and gathered through the use of learning platforms within educational settings, the learning behavior of students, derived from the data, can now be analyzed in new ways. Analyzing the learning behaviors of students can then be used to improve teaching practices.
The minitrack is interested in papers that take on analyzing teaching and learning behaviors through learning management systems (or learning platforms) through data-driven approaches. The interest extends to papers that shed light on the type of data that is required to improve teaching and learning in different levels of education and how data can be used to better understand, and improve, the educational environment. The interest thereby extends to papers discussing different approaches in data analytics (for instance by opening the box of how machine learning techniques to discover relevant factors that can be used to improve teaching and learning and discussing the outcome) as well as to papers discussing qualitative research on teaching and learning, where data is used to support these processes. The interest is therefore not merely in big data and grand projects but also extends to the use of small data, that can support teaching or learning. The papers can take the point of departure from the teacher’s side, or from the student’s perspective, or even be written from the intersection between the teachers’ and the students’ practices.
We welcome papers that reflect on, and relate to, learning analytics and datafication in educational settings alongside papers that reflect on learning platforms, teaching practices, learning practices, student profiling, use of third-party applications (for instance for lecture capture) to support education, and everything from small apps to large systems and infrastructures in educational contexts that generate data that can be analyzed and used to impact educational outcomes. We encourage papers based on both qualitative and quantitative methods and on machine learning approaches, as well as empirical, methodological, and theoretical papers that inspire a dialog with the growing literature on learning analytics and datafication of educational settings. The interest extends to all educational levels where the partnership between students and teachers is important.
Minitrack Co-Chairs:
Sara Willermark
University West
sara.willermark at hv.se<mailto:sara.willermark at hv.se>
Anna Sigridur Islind
Reykjavik University
islind at ru.is<mailto:islind at ru.is>
María Óskarsdóttir
Reykjavik University
mariaoskars at ru.is<mailto:mariaoskars at ru.is>
Galina Deeva
KU Leuven
galina.deeva at kuleuven.be<mailto:galina.deeva at kuleuven.be>

Submission Instructions
All submission information for the Conference is available at: https://hicss.hawaii.edu/authors/

Submission deadline: June 15, 11:59 PM Hawaii time.

Submission template: https://bit.ly/3pu7myi

Page Limits:
The paper must not exceed ten pages (including references)



_______________________
Assistant professor
School of Business, Economics, and IT
University West
+46 702658583

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