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    Argumentative Writing Software: Perceptions of Undergraduate Students toward Artist Prototype
    (IEEE, 2024-01-26)
    Mi Chan Htaw
    ;
    Daria Pipa
    ;
    Namkang Sriwattanarothai
    ;
    Chailerd Pichitpornchai
    ;
    We examined how university students perceived the feasibility and usability of an argumentative writing support software or tool, Artist, for a research and development approach. Artist assisted undergraduate students in their arguments using natural language processing (NLP) and cutting-edge artificial intelligence (AI) technologies. 30 students majoring in science and social science, participated in this study at a Thai University. To test the various prototype interfaces, the participants were divided into two groups. Based on an analysis of the insightful feedback from the focus group, the first group was interviewed. Then, the second interface was modified for technological development. Subsequently, the second group tested the second prototype, and the focus group interviews were conducted again. The results verified that undergraduate students benefited from a graphical representation in their argumentative writing. With the help of this learning system, the range of ways to create argumentations was determined using discourse analysis, argumentation analysis, and ChatGPT recommendations. Regarding ChatGPT, participants felt differently about it, especially in terms of its utility. We examined the effectiveness of the argumentative writing tool and proposed how to improve it.
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    Scopus© Citations 1
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    Computer Supported Argumentation Learning: Design of a Learning Scenario in Academic Writing by Means of a Conjecture Map
    In academic writing, the competency to argue is important. However, first-year students often have difficulties to construct good arguments. Advances in natural language processing (NLP) have made it possible to better analyze the writing quality of texts. New tools have emerged which can give students individual feedback on their texts and the structure of their arguments. While the use of these argumentation learning support tools can help create better texts, using them in an academic context also carries risks. Learning scenarios are needed that promote argumentation competency using argumentation tools while also making students aware of their limitations. To address this issue, this paper investigates how a learning design with an argumentation learning support tool can be developed to increase the argumentation competency of first-year students. The conjecture-mapping technique was used, to visualize our assumptions and illustrate the developed learning design. As part of a fi rst design cycle, the learning design was tested with 80 students in seven academic writing classes at the University of St.Gallen in Switzerland. Preliminary findings suggest that the learning design might be helpful to improve the argumentation competency as well as the data-literacy of students (in relation to argumentation tools). However, further research is necessary to confirm or reject our hypotheses.
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    Scopus© Citations 2
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    Hochschulbildung: KI-basiertes Forschen und Schreiben
    Mit der rasanten Verbreitung von Anwendungen generativer KI wie z.B. ChatGPT, Midjour-ney oder GitHub Co-Pilot in den letzten Monaten beginnen sich Arbeitsroutinen breitflächig zu verändern: Studierende erzeugen Textpassagen mit ChatGPT; Illustratoren erzeugen Vi-sualisierungen mit Midjourney; Software-Entwickler lassen sich Code-Passagen von GitHub Co-Pilot erstellen, überprüfen oder in andere Programmiersprachen übersetzen. Damit rückt die Frage in den Vordergrund, wie denn eine zielführende, produktive, und für Menschen attraktive Zusammenarbeit mit diesen „intelligenten“ Assistenzsystemen erreicht werden kann.
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