同行反馈
论证理论
论辩的
感知
可信赖性
认知
心理学
纠正性反馈
点(几何)
数学教育
计算机科学
社会心理学
语言学
哲学
几何学
数学
神经科学
作者
Theresa Ruwe,Elisabeth Mayweg-Paus
标识
DOI:10.1016/j.caeai.2023.100189
摘要
Argumentative writing is an important skill for (future) teachers, and this skill can be promoted with feedback. For such feedback to be effective, certain social and non-cognitive aspects must be considered. Building on this, our study investigated the influence of different feedback providers and language styles on learners' motivation, emotions, self-efficacy, and perceptions about the provider and the feedback. A total of N = 98 German student teachers participated in the 3 (feedback provider: artificial intelligence (AI) vs educator vs peer) × 2 (feedback language: personalised vs neutral) experimental between-subjects design. Results showed that student teachers ascribed an AI, compared to educators and peers, with more trustworthiness, particularly regarding its expertise. Against our expectations, we did not find further significant effects, but we found several tendencies that point towards the importance of social and non-cognitive aspects in feedback processes and indicate the need for further research. Conclusively, these aspects should be considered when investigating feedback processes in online learning environments.
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