2016-09-30 社群月会会议摘要

下次月会时间: 十月28日 台北/北京时间 AM 9:30 – 11:30
固定线上会议室: https://join.me/ClassroomAid (注意事项)

讨论主题:

  1. 新的限制词、设定与配方讨论
  2. xAPI 案例研讨 – Medical Education & Healthcare with xAPI
  3. xAPI + 机器学习智慧助理构思

與會者:

資策會教研所 鄭淵澤, 賴弘毅, 胡士鑫

Classroom Aid Inc. Jessie Chuang , Henry Chen

Individual Contributor: Yao Shih

宏鼎(HDT) : 小白

育睿科技ABCtech : 張大明

1. 新的限制词、设定与配方讨论

Virtual Reality (虛擬實境) 化學實驗 use case:

Referencing verbs:

https://w3id.org/xapi/adb/verbs/selected

http://adlnet.gov/expapi/verbs/failed

https://w3id.org/xapi/seriousgames/verbs/accessed

http://adlnet.gov/expapi/verbs/answered

http://adlnet.gov/expapi/verbs/progressed

http://id.tincanapi.com/verb/viewed

New verbs:

Returned: https://w3id.org/xapi/acrossx/verbs/returned

New activityType:

https://w3id.org/xapi/acrossx/activities/virtual-reality

Rehabilitation (復健) 與病人食療 use case:

New verbs:

Set: https://w3id.org/xapi/acrossx/verbs/set

New activityType:

https://w3id.org/xapi/acrossx/activities/rehabilitation

https://w3id.org/xapi/acrossx/activities/prescription

線上論壇 forum:

New verbs:

Reacted: https://w3id.org/xapi/acrossx/verbs/reacted

Visca new wrappers:

Learning Plan:

https://wiki.visualcatch.org/tc/xue_xi_ji_hua_fu_wu.html

Online forum discussion:

https://wiki.visualcatch.org/tc/tao_lun_xue_xi_fu_wu.html

2. xAPI 案例研讨 – Medical Education & Healthcare with xAPI

From Medbiq workshop, 实时示範介接来自不同工具与sensors之资料

medbiq-workshop

workshop-diagram

medbiq-workshop-2

medbiq-workshop-conclusion

Citation:

Medbiq xAPI Workshop Report

Authors: David Topps, Corey Albersworth, Ellen Meiselman, Maureen Topps, Sarah Topps, Sandra Morrison, from University of Calgary, Athabasca University , University of Michigan, Simon Fraser University

Enhancing Code Blue Education Performance with xAPI

  • Improving Code Blue performance a top MedStar priority
  • Performance Issues:

–Delays in defibrillation. Lack of device knowledge

–Lack of process/algorithm knowledge

–Team coordination issues

  • communication, sharing of knowledge.
  • Team members afraid to ask for help.

defibrillator-task-training-app

In the case of our mobile app for training defibrillator use, xAPI allowed us to be more granular. We are analyzing on which step the learner failed.

Citation:

Information provided by Dave Bauer, Director of Learning Technologies at the MedStar Simulation Training and Education Lab (SiTEL).

MedStar Health is a large regional health system in Washington, DC and Maryland, and MedStar SiTEL provides learning solutions and infrastructure to the organization. Our mission is to create an adaptable learning infrastructure and provide resources to meet MedStar’s current and emergent learning needs. This includes supporting a custom LMS along with providing mobile performance support tools and integrating new technologies for delivery and measurement of learning.

Physical Therapy tracked with xAPI

这是一个应用在复健的案例,提供该服务的客户要求以 xAPI 为资料收集标準:

fyzical

Citation:

Information provided by Nick Washburn, Director of Learning Division, Riptide Learning

xAPI and Machine Learning for Patients/ Learners

Experience API and Machine Learning for Patient/Learner

Presented by Jessie Chuang on xAPI Camp. (article on xAPI Quarterly)

xAPI and Machine Learning can help us build “intelligent assistance” for patients and learners, but human-in-the-loop machine learning is important. We need good learning design from the beginning and as we return data to instructors and learners immediately, humans can give great inputs to this human-machine collaboration.

xAPI and Machine Learning
Smartchair System Architecture

Citation:

jia-Ru Ho, Yun Yen Chuang, Ray-I Chang, “SmartChair APP – Mobile Technologies for Supporting Patients with Spinal Cord Injury,” The 11th E-Learning and Information Technology Symposium, 2016.

 

2016-09-30 社群月会会议摘要
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