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Full-Text Articles in Computer Sciences
Tools For Tutoring Theoretical Computer Science Topics, Mark Mccartin-Lim
Tools For Tutoring Theoretical Computer Science Topics, Mark Mccartin-Lim
Doctoral Dissertations
This thesis introduces COMPLEXITY TUTOR, a tutoring system to assist in learning abstract proof-based topics, which has been specifically targeted towards the population of computer science students studying theoretical computer science. Existing literature has shown tremendous educational benefits produced by active learning techniques, student-centered pedagogy, gamification and intelligent tutoring systems. However, previously, there had been almost no research on adapting these ideas to the domain of theoretical computer science. As a population, computer science students receive immediate feedback from compilers and debuggers, but receive no similar level of guidance for theoretical coursework. One hypothesis of this thesis is that immediate …
Game-Assisted Rehabilitation For Post-Stroke Survivors, Hee-Tae Jung
Game-Assisted Rehabilitation For Post-Stroke Survivors, Hee-Tae Jung
Doctoral Dissertations
Stroke is a leading cause of permanent impairments among its survivors. Although patients need to go through intensive, longitudinal rehabilitation to regain function before the stroke, patients show poor engagement and adherence to rehabilitation therapies which hampers their recovery. As a means to enhance stroke survivors' motivation, engagement, and adherence to intensive and longitudinal rehabilitation, the use of games in stroke rehabilitation has received attention from research and clinical communities. In order to realize this, it is important to take a holistic, end-to-end research approach that encompasses 1) the development of game technologies that are not only entertaining but also …
Using Visual Media To Empower Citizen Scientists: A Case Study Of The Outsmart App, Megan E. Kierstead
Using Visual Media To Empower Citizen Scientists: A Case Study Of The Outsmart App, Megan E. Kierstead
Masters Theses
To be successful citizen science projects need to do two key things: (1) they need to meaningfully engage the public and they must also provide people with the tools, expertise, and/or training needed to participate in rigorous research that can be used by the scientific community. In some ways, these requirements are potentially at odds. Emphasis on rigor and expertise risks excluding members of the public who do not feel qualified to participate in esoteric or technically difficult scientific research. Conversely, projects that eschew rigorous methods in favor of wider participation might lead to bad data that cannot be used …