Open Access. Powered by Scholars. Published by Universities.®

Education Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 2 of 2

Full-Text Articles in Education

Strategies And Methods Used To Improve Engagement: Mixed Methods Action Research In An Online Computer Applications Course, Yvette Newton Sands Apr 2020

Strategies And Methods Used To Improve Engagement: Mixed Methods Action Research In An Online Computer Applications Course, Yvette Newton Sands

Theses and Dissertations

The purpose of this action research is to evaluate and examine the strategies and methods that were used to improve interactions and engagement of students enrolled in a computer applications course at a large university in the southeast part of the United States. A mixed methods research model that included both quantitative and qualitative measures was used. Quantitative data were collected from 162 students who participated in the course discussion boards and forums and from 124 students who took part in the Online Student Engagement survey (OSE). Qualitative data were derived from interviews with five student focus groups and from …


Explainable Ai Using Knowledge Graphs, Manas Gaur, Ankit Desai, Keyur Faldu, Amit Sheth Jan 2020

Explainable Ai Using Knowledge Graphs, Manas Gaur, Ankit Desai, Keyur Faldu, Amit Sheth

Publications

During the last decade, traditional data-driven deep learning (DL) has shown remarkable success in essential natural language processing tasks, such as relation extraction. Yet, challenges remain in developing artificial intelligence (AI) methods in real-world cases that require explainability through human interpretable and traceable outcomes. The scarcity of labeled data for downstream supervised tasks and entangled embeddings produced as an outcome of self-supervised pre-training objectives also hinders interpretability and explainability. Additionally, data labeling in multiple unstructured domains, particularly healthcare and education, is computationally expensive as it requires a pool of human expertise. Consider Education Technology, where AI systems fall along a …