Research Lab

Advanced Learning Technologies Lab: Link
ALTLab focus: Personalized Learning; Affect and Motivation; Metacognition; Active Physical Learning; Educational Games; Open-Tutor Platforms; Intelligent Pedagogical Agents; and Learning Technologies for the Developing World.

Other Research Interests

  • Computing Education Research
    • How novice students learn introductory object-oriented programming; teaching computing; intercultural interactions, student engagement.
  • Educational Technologies
    • Computing augmented learning management systems, learning objects, visualizations, Web 2.0 tools, MOOCs.
  • Learning and Assessment Taxonomies
    • SOLO, Bloom’s digital taxonomy, matrix taxonomy.
  • Methodological Frameworks for Research
    • Action research, mixed methods, personal construct theory, paradigm pluralism.
  • Pedagogic Theories
    • Variation theory, connectivism, constructive alignment

Research Projects

  • Promoting Outreach and Participation in Computer Science (POPinCS)
    • Professional Improvement Fellowship (Fall 2020).
  • PDC Curriculum Early Adopter Grant and Summer Training Program
    • Co-PI (CDER-PDCNEAG2018 NSF Award Number:1730527): Parallel and Distributed Computing (PDC) Curriculum Development group to broaden participation of early adopters of the curriculum (2018-present).
  • Promotion of Science in Schools
    • Project Leader for Promotion of Science in Schools Project (No. 039/2013/P): E-Gadget Workshops for Junior High School Students (2012-2013). Sponsored by FDCT (Fundo para o Desenvolvimento das Ciencias e da Technologia), Macau.
    • Al Baha Optimizing Learning and Teaching in Computer Science Collaborative project between Uppsala University, Sweden and Al Baha University, Saudi Arabia (2014-2015).
    • Chinese Students Intercultural Interactions in Computer Science in Sweden, Uppsala University, Sweden. 2011-present.

Research Collaborations

  • ITiCSE working group 2020 – High Performance Computing Education: Current Challenges and Future Directions.
  • ITiCSE working group 2019 – Pass rates in introductory programming and other STEM courses.
  • ITiCSE working group 2017, 2018 – Student engagement in CS courses.
  • Research Collaboration Network (RCN) UMass 2017- Multi-institution research-practitioner network .
  • UMass Institute of Diversity Sciences 2017- Diversity & Disparities in Learning Group.
  • International multi-institutional working group 2016-2017- Achievement goals and study strategies in CS.
  • International multi-institutional working group 2017 – POGIL (Process Oriented Guided Inquiry Learning in Introductory CS).
  • International multi-institutional working group 2012-2016 – Research on MOOCs.
  • Koli Calling Working Group, Finland 2011-2014 – Research on CS in schools.