Yi-Hsiung Lin｜Assistant Professor, Graduate Institute of Education, Taiwan Shoufu University｜yhslin@tsu.edu.tw
Tien-Tsai Kuo｜Associate Professor, Graduate Institute of Education, Taiwan Shoufu University｜drkuo@tsu.edu.tw
Kuei-Ju Tsai｜Assistant Professor, Generation Education, Kaohsiung University｜kjtsai@nuk.edu.tw
▌Abstract
In 2011, people were surprised to see a milestone in the development of artificial intelligence represented by the IBM Jeopardy Challenge. The IBM’s official website announced that they are continuing to expand Watson’s capabilities to incorporate ability to write recipes, design clothes, predict weather, and help doctors diagnose disease. The rise of artificial intelligence in the era of higher compute efficiency, significant breakthroughs in application of machine-learning algorithms, and open cloud application platforms (such as Google, Amazon, FB, Microsoft) assisting people in coping with difficult situations. The technological development provides a glimpse at the potential uses of new opportunities to explore data in educational, clinical, business, environmental, and public administration practices. This study follows the statistics framework of collecting, organizing, summarizing, and analyzing, and making inference from data. The construction of Wisdom Q&A not only to explore whether followers provide better answers but also build the relationship among human, data and process. A video showing a display of information technology in the leisure industry education are presented in this study, and it proves that Topic Models can be used in the wisdom Q&A system successfully.
Keywords: IBM’s Watson, Topic Models, Artificial Intelligence, Big Data, Wisdom Q&A System