Suchith Reddy Vemula and Marcia Moraes, Department of Computer Science, Colorado State University, Fort Collins, Colorado
Learning Analytics Dashboard for Advisors is designed to provide data-driven insights and visualizations to support advisors in their decision-making regarding student academic progress, engagement, targeted support, and overall success. This study explores the current state of the art in learning analytics dashboards, focusing on specific requirements for advisors. By examining existing literature and case studies, this research investigates the key features and functionalities essential for an effective learning analytics dashboard tailored to advisor needs. This study also aims to provide a comprehensive understanding of the landscape of learning analytics dashboards for advisors, offering insights into the advancements, opportunities, and challenges in their development by synthesizing the current trends from a total of 19 research papers used for analysis. The findings will contribute to the design and implementation of new features in learning analytics dashboards that empower advisors to provide proactive and individualized support, ultimately fostering student retention and academic success.
Learning Analytics, Advisor's Dashboard, Feedback, Self-Regulated Learning, and Learning Management Systems.
Bao-ming Wu, Department of artificial intelligence, Neijiang Normal University, Neijiang City, Sichuan Province,China
Owing to the lost of original English text book real meaning after translated into Chinese, the author carries on the teaching reform to select English textbook for the software programming teaching, and take into practice in the lesson of “introduction of software testing” and “technology and practice in software testing”. The innovation detail include the textbook selecting from all language version, the giving lessons in English, content concentration based on the predecessor courses, the demonstration of the occupational operating environment in experimental scenes, and so on. After four years practice, the renovation have achieved good effective and efficiency. The causality analysis method is applied In selection of English-native textbook from all language.
English-Native textbook, Bilingual teaching, programming professional training.
