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Co-creation in higher education is the process where students collaborate with instructors in designing the curriculum and associated educational material. This can take place in different scenarios, such as integrating co-creation into an ongoing course, modifying a previously taken course, or while creating a new course. In this Work-In-Progress, we investigate training and formative assessment models for preparing graduate students in engineering to participate as co-creators of educational material on an interdisciplinary topic. The topic of cyber-physical systems engineering and product lifecycle management with application to structural health monitoring is considered in this co-creation project. This entails not only topics from different disciplines of civil, computer, electrical and environmental engineering, business, and information sciences, but also humanistic issues of sustainability, environment, ethical and legal concerns in data-driven decision-making that support the control of cyber-physical systems. Aside from the objective of creating modules accessible to students with different levels of disciplinary knowledge, the goal of this research is to investigate if the co-creation process and the resulting modules also promote interest and engagement in interdisciplinary research. A literature survey of effective training approaches for co-creation and associated educational theories is summarized. For students, essential training components include providing (i) opportunities to align their interests, knowledge, skills, and values with the topic presented; (ii) experiential learning on the topic to help develop and enhance critical thinking and question posing skills, and (iii) safe spaces to reflect, voice their opinions, concerns, and suggestions. In this research we investigate the adaption of project-based learning (PjBL) strategies and practices to support (i) and (ii) and focus groups for participatory action research (PAR) as safe spaces for reflection, feedback, and action in item (iii). The co-creation process is assessed through qualitative analysis of data collected through the PjBL activities and PAR focus groups and other qualitative data (i.e., focus group transcripts, interview transcripts, project materials, fieldnotes, etc.). The eventual outcome of the co-creation process will be an on-line course module that is designed to be integrated in existing engineering graduate and undergraduate courses at four different institutions, which includes two state universities and two that are historically black colleges and universities.
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A Survey of Knowledge-Enhanced Text Generation
The goal of text-to-text generation is to make machines express like a human in many applications such as conversation, summarization, and translation. It is one of the most important yet challenging tasks in natural language processing (NLP). Various neural encoder-decoder models have been proposed to achieve the goal by learning to map input text to output text. However, the input text alone often provides limited knowledge to generate the desired output, so the performance of text generation is still far from satisfaction in many real-world scenarios. To address this issue, researchers have considered incorporating (i) internal knowledge embedded in the input text and (ii) external knowledge from outside sources such as knowledge base and knowledge graph into the text generation system. This research topic is known as knowledge-enhanced text generation. In this survey, we present a comprehensive review of the research on this topic over the past five years. The main content includes two parts: (i) general methods and architectures for integrating knowledge into text generation; (ii) specific techniques and applications according to different forms of knowledge data. This survey can have broad audiences, researchers and practitioners, in academia and industry.
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- PAR ID:
- 10334382
- Date Published:
- Journal Name:
- ACM Computing Surveys
- ISSN:
- 0360-0300
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1145/3512467
