Track Program Chairs


Pedro Isaias [coordinator]

University of Queensland, Australia

David Gibson

Curtin University, Australia
Track 14-TeASSESS-TPC Co-Chair-Eduardo Aranha

Eduardo Aranha

UFRN, Brazil
Track 14-TeASSESS-TPC Co-Chair-Nicola Capuano

Nicola Capuano

University of Salerno, Italy

Track Description and Topics of Interest

Disruptive changes in learning and instruction through emerging technologies require new perspectives for the design and development of learning environments. Closely linked to the demand of new approaches for designing and developing learning environments is the necessity for enhancing the design and delivery of assessment systems and automated computer-based diagnostics. These systems need to accomplish specific requirements, such as adaptivity to different subject domains, flexibility for experimental and instructional settings, managing huge amounts of data, rapid and (near) real-time analysis of specific data, immediate feedback for learners, educators and learning designers, as well as generating automated reports of the diagnostics’ results. Further, sophisticated databases and network technologies contribute an especially wide variety of applications for technology-enhanced assessment. Hence, given the recent developments in educational data mining and learning analytics, technology-enhanced assessment may improve on-going learning through providing instant and rich feedback on the current stage of the learning process. This track aims to provide insights into the latest developments of research focusing on technology-enhanced assessment in formal and informal education.


  • Automated Feedback to Improve Student Writing
  • Artificial Intelligence in Assessment Processes
  • Natural Language Processing in Alignment of Curriculum and Assessment
  • Enhancing Grading, Scoring and Feedback
  • Computational Models of Knowledge and Expertise
  • Bridging Informal and Formal Learning Outcomes
  • Enhancing Team-Based Learning
  • Game-based Learning
  • Visualization of Learning Processes
  • Exploratory Research into Technology Enhanced Assessment
  • Challenges of Dynamic Learning Analytics
  • Modeling Cognitive, Behavioral and Emotional Processes in Learning
  • New Tools, Processes and Applications that Enhance Assessment
  • Technology-enhanced Assessment of Deeper Learning
  • Peer Assessment Tools and Strategies
  • Electronic Forum Analysis and Assessment
  • Authentic Assessments and Digital Environments
  • Assessment Technologies
  • Security and Privacy in eAssessment
  • Mobile Learning Assessment

Track Program Committee

Ana Paula Ambrosio, Universidade Federal de Goiás, Brazil
Wilkerson L. Andrade, Federal University of Campina Grande, Brazil
Nicole Bellin-Mularski, Potsdam University, Germany
Santi Caballe, Open University of Catalonia, Spain
André Campos, UFRN, Brazil
Jody Clarke-Midura, Utah State University, USA
Thanasis Daradoumis, Open University of Catalonia, Spain
Giuliana Dettori, Istituto di Tecnologie Didattiche del CNR, Italy
Eva Dobozy, Curtin University, Australia
Deller Ferreira, Federal University of Goiás, Brazil
Hing Keung Vincent Hung, The Education University of Hong Kong, China
Siu Cheung Kong, The Education University of Hong Kong, China
Charles Madeira, Universidade Federal do Rio Grande do Norte, Brazil
Ivana Marenzi, L3S Research Center, Germany
Sidney C. Nogueira, Universidade Federal Rural de Pernambuco, Brazil
Isabel Nunes, Universidade Federal do Rio Grande do Norte, Brazil
Claudia Pereira, Universidade Estadual de Feira de Santana, Brazil
Mário Rodrigues, University of Aveiro, Portugal
Simone Santos, Federal University of Pernambuco, Brazil
Dalton Dario Serey Guerrero, Formal Methods Group - GMF/ Computer Systems Department - DSC/ Federal University of Campina Grande - UFCG, Brazil
Louise Starkey, Victoria University of Wellington, New Zealand
Jason Zagami, Griffith University, Australia