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The Laboratory for Interactive Learning Technologies (LILT), a research group in the Department of Information and Computer Sciences (ICS) of the University of Hawaii at Manoa, [1] pursues a diverse portfolio of cognitive science, human-computer interaction, and social sciences approaches to technology-supported learning, collaboration and online communities.
SuperCROSS – comprehensive statistics package with ad-hoc, cross tabulation analysis; Systat – general statistics package; The Unscrambler – free-to-try commercial multivariate analysis software for Windows; Unistat – general statistics package that can also work as Excel add-in; WarpPLS – statistics package used in structural ...
IBM SkillsBuild is a free education program focused on underrepresented communities in tech, that helps adult learners, and high school and university students and faculty, develop valuable new skills and access career opportunities.
Kim and his research assistants at Stanford University were the main contributors to the initial technical design of SMILE. The PocketSchool research study [6] investigated a portable ad-hoc network solution that enabled a multi-user interactive learning environment in areas where resources such as electricity or access to the Internet is limited.
Interactive learning is a pedagogical approach that incorporates social networking and urban computing into course design. In interactive learning, people collaborate to share information. In interactive learning, people collaborate to share information.
GLIM (an acronym for Generalized Linear Interactive Modelling) is a statistical software program for fitting generalized linear models (GLMs). It was developed by the Royal Statistical Society's Working Party on Statistical Computing (later renamed the GLIM Working Party), [1] chaired initially by John Nelder. [2]
Open-source artificial intelligence is an AI system that is freely available to use, study, modify, and share. [1] These attributes extend to each of the system's components, including datasets, code, and model parameters, promoting a collaborative and transparent approach to AI development. [1]
The field of data and information visualization is of interdisciplinary nature as it incorporates principles found in the disciplines of descriptive statistics (as early as the 18th century), [13] visual communication, graphic design, cognitive science and, more recently, interactive computer graphics and human-computer interaction. [14]