为公平还是正确？基于人类面向技术的[研究]完整性[框架]使用学习技术的例子
To be FAIR or RIGHT? Methodological [R]esearch [I]ntegrity [G]iven [H]uman-facing [T]echnologies using the example of Learning Technologies
AI总结：
本文提出RIGHT框架，填补现有框架在有效性方面的空白，通过理论转移和过程建模方法，结合模拟研究、设计基础研究、软件工程和实证社会科学模型，通过学习技术案例研究展示其在人类面向RSE中的实用性。
摘要：
研究软件工程（RSE）的质量评估在所有科学领域都起着重要作用。从传统的三个标准（可靠性、有效性、客观性）来看，以往的研究主要集中在可靠性和FAIR原则。RIGHT框架的引入旨在填补现有框架在有效性方面的空白。该框架通过理论转移和过程建模的方法构建，基于现有的模拟研究、基于设计的研究、软件工程和实证社会科学模型。本文最后通过学习技术领域的两个案例研究，展示了该框架在人类面向RSE中的实际相关性。
英文摘要：
Quality assessment of Research Software Engineering (RSE) plays an important role in all scientific fields. From the canonical three criteria (reliability, validity, and objectivity) previous research has focussed on reliability and the FAIR principles. The RIGHT framework is introduced to fill the gap of existing frameworks for the validity aspect. The framework is constructed using the methods of theory transfer and process modelling. It is based on existing models of simulation research, design-based research, software engineering and empirical social sciences. The paper concludes with two case studies drawn from the field of learning technologies to illustrate the practical relevance of the framework for human-facing RSE.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
