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  4. An Adaptive Trust-based E-assessment System For Learning (TeSLA)

An Adaptive Trust-based E-assessment System For Learning (TeSLA)

What research questions the project addresses, aims & themes

The overall objective of the TeSLA project is to define and develop an e-assessment system, which ensures learners authentication and authorship in online and blended learning environments while avoiding the time and physical space limitations imposed by face-to-face examination.

To achieve the overall objective, the next specific objectives are proposed:

O1. Analyse and design the most appropriate learning activities for e-assessment taking into account both, academic requirements to ensure the learning process and the adaptation to a fully online and cross-curricular assessment.

O2. Improve the e-assessment process by introducing tools and resources in the learning activities that capture learners’ data to ensure their authentication and authorship.

O3. Conduct several pilots of the TeSLA e-assessment system that guarantee the equality of opportunity and respect for diversity in real teaching and learning scenarios while ensuring the authentication and authorship of the learners during the e-assessment processes.

O4. Provide a core version of the TeSLA e-assessment system free of charge for educational institutions, in order to improve their e-assessment processes.

O5. Hold a set of training workshops, provide guidelines and elaborate learning resources for teachers to show how the TeSLA e-assessment system can be used for enhancing e-assessment processes.

O6. Implement a professional and commercial version of the TeSLA e-assessment system to be sold and distributed at international level.

How the research questions are addressed by the project (methodology and activity/environment)

The TeSLA e-assessment system will be extensively tested in different large scale pilots across Higher Education institutions in Europe.  The system will evaluate different properties in an educational framework, authentication and authorship.  The final pilot will be conducted with 10,000 learners from different partners of the consortium, including teachers and learners.

Findings and outputs

To be reported when available.

Project impact

Predicted Impacts from the bid

Impact 1: Unlock the potential of the individual by a stronger and smarter adaptation and personalisation of educational technologies to assist the assessment process.

Impact 2: Significantly higher level of effective, personalised, ICT-based assessment screening with wide-spread penetration in schools and at home.

Impact 3: Emergence of new assessment and trust models.

Impact 4: Faster, more timely and more cost-effective e-assessment processes such as prioritising which undertaken in face-to-face settings is labour intensive and costly.

People involved

PI: Prof Denise Whitelock

Co PI: Bart Rienties

Co PI: Simon Cross

RA: Aida Azadegan

List of partners:

Participant no. Participant organisation name Participant short name Country

1 (coordinator) Fundació per a la Universitat Oberta de Catalunya UOC Spain

2 European Association for Quality Assurance in Higher

Education AISBL ENQA Belgium

3 Universite de Namur ASBL UNamur Belgium

4 Agència per a la Qualitat del Sistema Universitari de

Catalunya AQU Spain

5 LPLUS GmbH LPLUS GmbH Germany

6 Open Universiteit Nederland OUNL Netherlands

7 Sofiiski Universitet Sveti Kliment Ohridski SU Bulgaria

8 The Open University OU UK

9 Protos Sistemas de Información, S.L PROT-OS Soluciones

Educativas Spain

10 Institut Mines-Telecom IMT France

11 Imperial College of Science, Technology and Medicine IMPERIAL UK

12 Technical University of Sofia TUS Bulgaria

13 Anadolu University AU Turkey

14 Jyvaskylan Yliopisto JYU Finland

15 European Quality Assurance Network for Informatics

Education, e.V. EQANIE Germany

16 Instituto Nacional de Astrofísica, Óptica y Electrónica INAOE Mexico

17 Fondation de l'Institut de Recherche IDIAP IDIAP Switzerland

18 WFSW, S.A. Watchful Software Portugal


Funded from H2020 – ICT20 IA Call

Start Data and Duration

TeSLA commencing 1 January 2016


Research & Innovation