Below Standard
Academic Writing
Outline of the article: Raković, M., Marzouk, Z., Chang, D.,& Winne, P. W. (2019). Towards
knowledge transforming in writing argumentative essays from multiple sources: A
methodological approach. Companion
Proceedings 9th International conference on Learning Analytics &
Knowledge (LAK19), AZ, USA. Retrieved from https://www.researchgate.net/publication/333680138_Towards_knowledge_transforming_in_writing_argumentative_essays_from_multiple_sources_A_methodological_approach
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Purpose: To present the research based on the analyses of argumentative essays
for developing knowledge-transformation in academic writing.
· Thesis statement: Knowledge-transforming writing is a complex process
which requires higher-order thinking skills.
· Audience: L2 writing academic students and teachers
1.
Abstract
2. Introduction
2.1 Argumentative Essays
2.2 Rhetorical and content problem space
2.3 Supportive arguments: Knowledge telling vs. Knowledge transformation
3. Related work and theoretical model
3.1 Cognitive and metacognitive operations to transform knowledge: Bloom’s taxonomy
4. Method
4.1 Framed research: Cases of study
4.2 Coded sentences: Argument (A), evidence (E), counterargument (C), rebuttal (R) and not applicable (NA)
4.3 Relational agreement among coders: Code processing results in essays
5. Conclusion: Linguistic indices
5.1 High accessibility markers and semantic overlap: Knowledge-telling
5.2. Low accessibility markers and semantic overlap: Knowledge- transforming
6. References
7. Appendix
2.1 Argumentative Essays
2.2 Rhetorical and content problem space
2.3 Supportive arguments: Knowledge telling vs. Knowledge transformation
3. Related work and theoretical model
3.1 Cognitive and metacognitive operations to transform knowledge: Bloom’s taxonomy
4. Method
4.1 Framed research: Cases of study
4.2 Coded sentences: Argument (A), evidence (E), counterargument (C), rebuttal (R) and not applicable (NA)
4.3 Relational agreement among coders: Code processing results in essays
5. Conclusion: Linguistic indices
5.1 High accessibility markers and semantic overlap: Knowledge-telling
5.2. Low accessibility markers and semantic overlap: Knowledge- transforming
6. References
7. Appendix
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