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Investigating Collaborative Explainable Ai (Cxai)/Social Forum As An Explainable Ai (Xai) Method In Autonomous Driving (Ad), Tauseef Ibne Mamun

Dissertations, Master's Theses and Master's Reports

Explainable AI (XAI) systems primarily focus on algorithms, integrating additional information into AI decisions and classifications to enhance user or developer comprehension of the system's behavior. These systems often incorporate untested concepts of explainability, lacking grounding in the cognitive and educational psychology literature (S. T. Mueller et al., 2021). Consequently, their effectiveness may be limited, as they may address problems that real users don't encounter or provide information that users do not seek.

In contrast, an alternative approach called Collaborative XAI (CXAI), as proposed by S. Mueller et al (2021), emphasizes generating explanations without relying solely on algorithms. CXAI centers …

Using Cognitive Word Games To Promote Lexical Memory Access And Vocabulary Retrieval In Second Language Learners, Kejkaew Thanasuan

Dissertations, Master's Theses and Master's Reports

Fluency in a second language (L2) is one of the most important skills for the modern world. However, adults learning a new language face many obstacles, including motivation, time, and other challenges in learning. Technology learning tools may help solve these problems. In this dissertation, I tested the effectiveness of cognitive word games as a vocabulary learning method, with the main goal of investigating how different word games including a crossword paradigm task, a free association task and a word-stem completion task were effective at improving vocabulary memory access. The games selectively increased semantic (meaning) or orthographic (spelling) associations in …