Daneih Ismail
Papers
1
Total Citations
2
H-Index
1
About
Daneih Ismail’s research lies at the intersection of educational technology, affective computing, and second-language acquisition, with a particular focus on how emotional states influence learning outcomes. In their most-cited work, “Overcoming Foreign Language Anxiety in an Emotionally Intelligent Tutoring System” (2020), Ismail explores the cognitive and emotional hurdles inherent in language learning, demonstrating that positive emotions—such as motivation and satisfaction—significantly boost achievement, while negative emotions like anxiety and frustration can derail progress. By integrating emotionally intelligent feedback into tutoring systems, Ismail’s work offers a pioneering framework for designing adaptive, learner-centered environments that respond to users’ affective states in real time. Although early in their career, Ismail’s contributions are already shaping how researchers and educators understand the role of emotion in pedagogy. With 2 citations on this foundational paper, their work signals a growing interest in humanizing technology-enhanced learning. Ismail’s research is especially valuable for students and developers seeking to build more empathetic, effective digital tools for language education—a field where emotional support is often overlooked but critically important.
Research Focus
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Top Papers
- 1