学习分析：连接数字化学习经历与教育评价———访国际学习分析研究专家戴维·吉布森教授

Linking Digital Experience to the Educational Assessment through Learning Analytics： An Inter^/iew with Prof. David Gibson

随着教育大数据时代的到来，学习分析已经成为当前教育研究的热点。本期高端访谈，我们有幸邀请了澳大利亚科廷大学戴维•吉布森（David Gibson)教授分享其对学习分析技术应用的经验和见解。吉布森教授是澳大利亚科廷大学教学与学习系副教授，未来学习中心（Learning Futures)主任。他曾经作为助理研究员任职于佛蒙特大学计算机科学系，后作为技术 支持任职于美国亚利桑那州立大学，参与由联合国教科文组织和科廷大学合作的“全 球挑战奖”（Global Challenge Award)项目。他不仅是横跨教育、音乐、数学、计算机和心理认知等多领域的学者，还是一位独立顾问、项目主管、企业家和技术革新者，是simSchool和eFolio应用软件的创始人。他的研究兴趣从教育领域的复杂系统分析和建模，到通过认知建模、设计和实施进行个性化教育，以及在教师教育、网络应用和未来学习中开发模拟与基于 游戏的学习。目前，他致力于探索数字化学习环境下的心理测试，设计数字化的学习体验，协调跨学科的发展以 推动学习科学研究。另外，他运用数据挖掘和数据可视化探索工具，探寻大数据时代用户行为的动态建模。吉布森教授已发表各类论文百余篇，参与合著《看看这些新的小工具：技术强化学习的薄弱环节》《游戏设计标准:模型、技术和框架》等书籍。2016年，亚洲数字化学习论坛（eFLA2016)特邀大卫•吉布森教授带来题为“基于大数据分析技术将数字化经历与学习科学连接”的主旨发言，探讨大数据时代学习与技术的变革。

With the advent of the era of big data ， learning analytics has been the hot topic in the field of education. Whereas， there are also many problems such as learning data acquisition， data processing， data analysis and interpretation that need researchers to overcome. In this interview ， we are very pleased to invite Prof David Gibson， from Curtin University， to share with us his experience and viewpoint on learning analytics. David Gibson， an associate professor of the Department of Learning and Teaching， the Director of Learning Futures in Curtin University. Prior to Curtin， Gibson was Associate Research Professor of Education at Arizona State University. Prior to that he was Assistant Research Professor of Computer Science at the University of Vermont， working on the Global Challenge Award project which is now being adapted for Curtin in partnership with UNESCO. He is not only a multidisciplinary scholar across education， music， mathematics ， computer and the psychological cognition， but also an independent consultant， project leader， entreprenuer and technology innovator who has created the simSchool and eFolio application software. His research extends from complex systems analysis and modeling of education to application of complexity via games and simulations in teacher education， web applications and the future of learning. Currently， he is exploring the new psychometrics of digital learning experiences and spaces， designing new digital learning experiences ， and coordinating transdisciplinary research to advance the learning sciences ， use of big data in humanities and social sciences ， the use of data mining and visualization as discovery tools ， and the use of symbolic regression to find dynamic equations of human behavior in digital spaces. Prof David Gibson has published hundreds of articles， co-authored the books of＂ Look at these new gadgets!＂ : the achilles heel of technology-enhanced learning＂， ＂Designing Games for Ethics: Models， Techniques and Frameworks＂ etc. The 2016 eLearning Forum Asia， he was especially invited to discuss the change of learning and technology in the era of big data and have a speech of linking digital experience to the science of learning through analytics.