摘要：

隨著數位科技的進步，學生的學習與測驗歷程皆可以透過數位系統紀錄下來。這些教育大數據資料除了帶來硬體與數位系統的商機外，對於學校端會有什麼樣的影響？如何藉由這些數據提升學生學習成效？另外，對於數學或統計背景的研究者，可以在大數據分析中佔有甚麼樣的地位？本演講將介紹臺中教育大學教育資訊與測驗統計研究所基於教育大數據分析方法，如「現代測驗理論(Item Response Theory)」、「認知診斷模型(Cognitive Diagnostic Model)」、「電腦化適性測驗(Computerized Adaptive Testing)」、「潛在語意分析(Latent Semantic Analysis)」、「機器學習(Machine Learning)」與「人工智慧(Artificial Intelligence)」等模式或技術，設計與開發的電腦化測驗系統、適性學習系統、個人化學習系統與目前在處理教育大數據資料所遭遇到的困難。

 

講者簡歷：

現職：

國立臺中教育大學-教育資訊與測驗統計研究所助理教授

 

學歷：

國立交通大學電控工程研究所博士

國立中興大學應用數學系(分析組) 碩士

國立中興大學應用數學系學士

 

經歷：

中國福建武夷學院數學與計算機學院副教授(03/2013‐07/2013)

國立臺中教育大學教育測驗統計研究所博士後研究員(02/2012‐01/2013)

國立臺中教育大學教育測驗統計研究所行政助理(校務基金進用人員) (08/2008‐07/2011)

僑光科技大學通識中心兼任教師(08/2008‐07/2011)

逢甲大學應用數學系短期專任講師(08/2006‐07/2008)

國立中興大學應用數學系教學助教(08/2004‐07/2006)

巨匠電腦兼任講師(12/2003‐12/2004)

 

(三)（已結束）

講題：科技翻轉世界─淺談大數據、互聯網、雲端運算

時間：2016/04/28 (四) 14:10

地點：國立中山大學管理學院管4112教室

講者：陳俊男營運長 (華致資訊)

講題：數位化金融與Fintech之資訊安全管理趨勢

時間：2016/05/12 (四) 14:10

地點：國立中山大學管理學院管4069教室

講者：陳鴻棋經理 (勤業眾信)

 

主講者簡歷：

1.勤業眾信聯合會計師事務所 企業風險管理 經理

2.國立政治大學資訊管理學士

 

專業資格：

認證國際電腦稽核師 (CISA)

ITIL Foundation

BS 10012主導稽核員（Lead Auditor）

ISO 27001主導稽核員（Lead Auditor）

 

（六）（已結束）
講題：電商暨行動金融支付

時間：2016/05/19 (四) 14:10

地點：國立中山大學管理學院管4112教室

講者：林宜樺科長（玉山銀行）

 

（七）（已結束）

講題：如何解構普洱茶的核心價值!

時間：2016/05/19 (四) 14:10

地點：國立中山大學管理學院管4069教室

講者：張國慶先生（中山校友會秘書長）

 

學歷：

畢業於海軍官校78年班

參謀大學95年班

中山大學EMBA-14屆

 

（八）（已結束）

 

經歷：

艇長

飛行教官、試飛官

E-14高球隊隊長

一品花園管理委員會 主任委員

一品花園高球隊隊長

中山大學高雄市校友會秘書長

中華兩岸EMBA高球隊副總幹事

 

（九）專題演講Part I

時間：2016/06/27 (一) 16:00~17:30 (Part I)

地點：國立中山大學管理學院管4073會議室

講題：Consumer Learning Embedded In Electronic Word Of Mouth

講者：Dr. Yuzhu Li（Department of Decision & Information Sciences, University of Massachusetts Dartmouth）

 

摘要：Consumers who lack personal experience with online products and virtual shops perceive a high level of risk in the ecommerce context. Consumers need to learn about online products and vendors before they make a purchase decision. Electronic word-of-mouth (eWOM) is a medium for such learning that not only includes specific recommendations about online products and vendors, but also supports social interaction among past and potential future consumers on transaction platforms. Based upon consumer learning theories and the Elaboration Likelihood Model, this study proposes a framework for the analysis of how eWOM carries consumer learning and influences future consumers. Based on the proposed framework, a large set of consumer-generated reviews of online transactions was analyzed using content analysis methodology. After the categorization of review messages with learning cues by review valence, our study examined the impact of buyers’ experience levels on the development of review content. The results showed that the experienced buyers tended to deliver more social cues and the novice buyers included more transactional cues in text reviews. In addition, the results indicate that consumer learning dimensions are not independent of review valence. Our study provides insights into theoretical and practical implications.

 

講者簡歷：

Dr. Yuzhu (Julia) Li joined the faculty of Department of Decision and Information Sciences in fall 2008. She came to Dartmouth from University
of Central Florida, in Orlando, where she received her Ph.D. in Management Information Systems (MIS) in August 2008. She received Master of Technology Management in Washington State University, Pullman, WA. Her research area includes project management, particularly project team work processes, technology-mediated learning and the use of IT in organizations. Her work has been published in journals such as Information and Management, Informing Science Journal and The International Journal of Networking and Virtual Organization and conference proceedings such as the American Conferences of Information Systems (AMCIS), the International Research Workshop on IT Project Management, the Sloan-C International Conference on Online Learning, and the International Conference on Electronic Commerce.

 

 

（十）專題演講Part II

時間：2016/06/27 (一) 16:00~17:30

地點：國立中山大學管理學院管4073會議室

講題：Children's Privacy Protection Engine for Smart Anthropomorphic Toys

講者：Patrick C. K. Hung（Faculty of Business and Information Technology, University of Ontario Institute of Technology (UOIT), Canada）

 

摘要：A toy is an item or product intended for learning or play, which can have various benefits to childhood development. Children’s toys have become increasingly sophisticated over the years, with a growing shift from simple physical products to toys that engage the digital world. Toy makers are seizing this opportunity to develop products that combine the characteristics of traditional toys such as dolls and stuffed toys with computing software and hardware. A smart anthropomorphism toy is defined as a device consisting of a physical toy component in the humanoid form that connects to a computing system through networking and sensory technologies to enhance the functionality of a traditional toy. Many studies found out that anthropomorphic designs resulted in greater user engagement. Children trusted such designs serve a good purpose and felt less anxious about privacy. While there have been many efforts by governments and international organizations such as UNICEF to encourage the protection of children’s data online, there is currently no standard privacy-preserving framework for mobile toy computing applications. Children’s privacy is becoming a major concern for parents who wish to protect their children from potential harms related to the collection or misuse of their private data, particularly their location. This talk presents the related research issues with a video demo.

 

講者簡歷：

Patrick C. K. Hung is an Associate Professor at the Faculty of Business and Information Technology in University of Ontario Institute of Technology, Canada. Patrick has been working with Boeing Research and Technology on aviation services-related research with a patent on mobile network dynamic workflow system. Patrick is an adjunct faculty member at School of Computer and Software, Nanjing University of Information Science and Technology in China. He is also an Honorary International Chair Professor at National Taipei University of Technology and a Visiting Professor at University of Sao Paulo, Brazil. In addition, he was an Adjunct Professor at Wuhan University, a Visiting Professor at the Shizuoka University and University of Aizu in Japan, a Guest Professor in University of Innsbruck in Austria, University of Trento and University of Milan in Italy. Before that, he was a Research Scientist with Commonwealth Scientific and Industrial Research Organization in Australia as well as he worked as a software engineer in industry in North America. He is a founding committee member of the IEEE International Conference of Web Services (ICWS), IEEE International Conference on Services Computing (SCC), and IEEE BigData Congress (BigData Congress). He is a Coordinating Editor of the Information Systems Frontiers.

 

 

 

 

 

連絡人：中山大學資訊管理學系