Join us online for the next openAIED Special Interest Group

Tuesday 21st April, 14:00 – 15:00

OU/INTERNAL link: https://learn3.open.ac.uk/mod/connecthosted/view.php?id=172788

EXTERNAL link: https://ou.adobeconnect.com/r1lpp6x0f2ls/

This SIG meeting will have two speakers, Dr Ekaterina Muravyeva and Maina Korir, and is a follow up of our OpenTEL Ethics and AIED workshop at EC-TEL conference in 2019 “ETHICS in AIED: Who Cares?” (https://ectelaiedethics.home.blog/) where we will continue to discuss how to address the challenges and map the landscape of ethics in AIED research.  Please note that this SIG will not be recorded.

Presentation 1: Dr Ekaterina Muravyeva

Title: Digital Informed Consent to Personal Data Use: a Mixed Methods Study of Information Uptake, Comprehension and Decision-making in the Context of e-Assessment

Abstract: Current approaches to digitally obtain consent for personal data use often fail in establishing an informed consent. This constitutes a risk for both the party requesting consent (data controller) and the party asked to consent (data subject). To better understand how to support informed decision-making, we investigated the concepts of information uptake and comprehension in a consent procedure related to the collection of sensitive (biometric) personal data in an e-assessment context. A mixed methods approach was adopted, combining eye-tracking data, a retrospective think-aloud protocol, a knowledge test, and an in-depth interview, to collect quantitative and qualitative data. Results show that the information provided in the consent procedure receives less attention than ‘general’ information used as a benchmark. Information uptake is positively affected by time spent reading. Although the study confirmed a positive relation between prior knowledge and time spent reading, a negative relation was found between (assumed) prior knowledge and uptake, and – by extension – comprehension. Regarding the latter, a further point of concern is that while participants indicate that the information was clear and complete, they still appeared to have questions relevant to reaching an informed decision. Theoretical and practical implications for the design of digital informed consent are formulated. 

Bio: Ekaterina Muravyeva is a PhD Candidate at the Faculty of Educational Sciences at the Open University of the Netherlands. Her research project, ‘Personal data and informed consent in the context of e-assessment’, aims to develop an online template for informed consent to support data controllers in establishing an effective and efficient informed consent procedure. The template describes the complete set of legal requirements established by the General Data Protection Regulation (GDPR) and includes additional instructions to ensure usability requirements are sufficiently met. Her research project constitutes one part of the TeSLA (Adaptive Trust-based e-Assessment System) project, which has also defined the context of e-assessment and provided the testbed for the design and development of the template.

 

Presentation 2: Maina Korir

Title: Privacy and learning analytics in the datafied university: Concepts and key issues

Abstract: Within higher education, there are several ethics frameworks relating to applications of learning analytics. These frameworks have a broad focus which enhances their suitability for various higher educational contexts. However, only a few frameworks focus exclusively on privacy, while others have limited consideration of privacy and related issues. Additionally, many of them represent early work to establish consensus in the field. To provide an update of privacy issues for learning analytics, I conducted research using Delphi study techniques with 12 experts from the education, educational technology and learning analytics. In this talk I will present the findings of this research, identifying how the experts conceptualise privacy in learning analytics and what they consider the key issues to be.

Bio: Maina Korir is a Leverhulme-funded doctoral scholar on the Open World Learning Project at the Institute of Educational Technology, Open University, UK. She is a mixed-methods researcher, and her PhD research focuses on ethics and privacy issues in learning analytics. Maina’s expertise is in human factors in security and privacy. Her educational background is in computing and information technology and she has taught several undergraduate courses, including human computer interaction and computer security.