Scientific and Societal Impact of Research
▸ Research Focus and Vision
BIG DATA LEARNING ANALYTICS AND CAUSAL MODELLING
Imagine a software agent that calls your computer its home, helps you to study better, be your friend, and motivates you to act in your long-term best interest, consistent with your own deepest values, personal, social, and other standards. My research aims to build, deploy, and evaluate a suite of such agents called anthropomorphic agents that mimic and do better on human-like traits to assist learners in their regulatory tasks. Further, these agents will self-regulate, as well as causally model their own anthropomorphic traits such as initiative and subject matter competence in order to inspire high level of trust, shared perspective, and entitativity, thus increasing the learners’ willingness to view them as competent partner for co-regulation and to inspire learners to make the optimal regulatory changes.
To sustain and to succeed in performing such tasks, the agents rely on big data learning analytics techniques where,
- sensors continuously observe study episodes of learners,
- distributed ontologies continuously instantiate study activities,
- causal models continuously establish relationships among study experiences,
- high performance platforms continuously offer real-time computing resources, and
- pedagogical models continuously look for ways to motivate, engage, classify, learn, and promote subject knowledge and study skills.
These agents aim to attune themselves to the needs of an individual learner or a group of learners, over life, to optimise learning experiences.
▸ Research Areas
- Artificial Intelligence in Education
- Big Data Learning Analytics
- Intelligent Tutors and Smart Objects
- User Modelling and Model Tracing
- Causal Modelling
- Knowledge Engineering, Representation, and Reasoning
- Game-based causality
- Longitudinal and Observational causal models
- Discovery of causal models
- Self-Regulated and Co-Regulated Learning
- Computational Models of self- and co-regulation
- Computer-Supported Collaborative Learning
- Computational Models of Grit
- Human-Computer Interaction
- Real-time feedback and regulation
- Technology-Enhanced Teaching, Learning, and Research
- ICT for Development
- Computational Models of Teaching Effectiveness
- Open Research
▸ Invention Disclosures, Patents, and Commercialisation
- A spin-off company named Smart Informatics Limited (http://smart-informatics.com) was formed in 2014 to promote, market, and study the infusion of learning analytics in educational technology. I am one of the founder Directors and presently the President CEO of this company.
▸ Publication / Dissemination Statistics
|Refereed book chapters||12||2||4||18|
|Refereed journal papers||3||5||4||12|
|Refereed conference papers||24||28||48||100|
|Keynote and invited presentations||7||29||7||43|
▸ Citation Statistics
(From Google Scholar) As of 17 Sep 2017
|Number of citations||Cites/Year since 2009||h-index||i10-index|
▸ Top 5 citations
(From Google Scholar) as of 18 October 2016
- 132 Computer-supported collaborative learning: issues for research, see [C91].
- 129 The intelligent helpdesk: supporting peer-help in a university course, see [C86].
- 128 Supporting peer help and collaboration in distributed workplace env., see [J9].
- 119 Supporting self-regulated learning with gStudy software, see [J7].
- 65 Inspectable user models for just-in-time workplace training, see [C88].