Adaptive Sequence-Based Stimulus Selection in an ERP-Based Brain-Computer Interface by Thompson Sampling in a Multi-Armed Bandit Problem
- Award ID(s):
- 2123777
- PAR ID:
- 10351860
- Date Published:
- Journal Name:
- IEEE International Conference on Bioinformatics and Biomedicine
- Page Range / eLocation ID:
- 3648 to 3655
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
MLM has attracted much attention over the last two decades. MLM activities include philosophical discussions about ontologies, requirements and relevant services, and development of theories, languages, and tools. Approaches differ in their support for MLM concepts on the levels of syntax, semantics and pragmatics. The Mediation-based MLM (MedMLM), is a formal theory that defines a multilevel model as an ordered collection of levels that are inter-related by mediators, and can be enriched by inter-level relationships and interactions. The levels of MedMLM are plain class models, and the mediators define inter-level instantiation relations. MedMLM is unique in supporting a modular architecture of levels and mediators. This paper introduces the MedMLM software modeling tool, that is built on top of the FOModeLer class modeling tool. The tool supports MLM construction, querying and reasoning, meta-reasoning, validation, syntax verification, and plain computation. We also compare the MedMLM tool with older MLM approaches using semantic, syntactic, and pragmatic MLM criteria.more » « less
-
A key affordance of game-based learning environments is their potential to unobtrusively assess student learning without interfering with gameplay. In this paper, we introduce a temporal analytics framework for stealth assessment that analyzes students' problem-solving strategies. The strategy-based temporal analytic framework uses long short-term memory network-based evidence models and clusters sequences of students' problem-solving behaviors across consecutive tasks. We investigate this strategy based temporal analytics framework on a dataset of problem solving behaviors collected from student interactions with a game-based learning environment for middle school computational thinking. The results of an evaluation indicate that the strategy-based temporal analytics framework significantly outperforms competitive baseline models with respect to stealth assessment predictive accuracy.more » « less
An official website of the United States government

