Modeling Didactic Knowledge by Storyboarding

Author:

Knauf Rainer1,Sakurai Yoshitaka2,Tsuruta Setsuo2,Jantke Klaus P.3

Affiliation:

1. Ilmenau University of Technology, Germany

2. Tokyo Denki University, Japan

3. Fraunhofer Institute of Digital Media Technology, Erfurt, Germany

Abstract

University education often suffers from a lack of an explicit and adaptable didactic design. Students complain about the insufficient adaptability to the learners' needs. Learning content and services need to reach their audience according to their different prerequisites, needs, and different learning styles and conditions. A way to overcome such deficiencies is representing the didactic design explicitly. A modeling approach called storyboarding is introduced here. Storyboarding is setting the stage to apply Knowledge Engineering Technologies to verify and validate the didactics behind a learning process. Moreover, didactics can be refined according to revealed weaknesses and proven excellence. Successful didactic patterns can be inductively derived by analyzing the particular knowledge processing and its alleged contribution to learning success.

Publisher

SAGE Publications

Subject

Computer Science Applications,Education

Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. SSAT: Scientific Storyboarding Framework Using Artificial Intelligence Techniques;Lecture Notes in Networks and Systems;2024

2. Time Travel Gamification of Learning and Training: From Theoretical Concepts to Practical Applications;Game Theory - From Idea to Practice;2023-03-01

3. Thinking and Chatting Deontically—Novel Support of Communication for Learning and Training with Time Travel Prevention Games;Creative Approaches to Technology-Enhanced Learning for the Workplace and Higher Education;2023

4. The Time Travel Exploratory Games Approach: An Artificial Intelligence Perspective;Communications in Computer and Information Science;2022

5. AI Planning for Unique Learning Experiences: The Time Travel Exploratory Games Approach;Proceedings of the 13th International Conference on Computer Supported Education;2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3