Integrating Automated Written Corrective Feedback into E-Portfolios for second language Writing: Notion and Notion AI

Abstract

With the recent rapid technological advance, second language (L2) educators have increasingly incorporated technologies into writing pedagogy. Two of the major technologies to promote L2 writing are e-portfolios and automated written corrective feedback (AWCF). Notably, feedback-rich portfolios facilitate L2 learners’ self-regulation and writing development. In addition, AWCF itself can help them notice the gap between their interlanguage and the target language (i.e., the AWCF) in the writing process and incorporate the noticed language features. However, fewer technologies have been developed to maximize the combined use of e-portfolios and AWCF. This review proposes that the use of Notion as an e-portfolio platform and its embedded artificial intelligence (AI) (i.e., Notion AI) as an AWCF generator has significant potential to address such issues uniquely and seamlessly. Notion is a freemium application where users can manage their tasks on one platform individually and collaboratively, while Notion AI is an AI-powered writing assistant that edits users’ texts in terms of lexico-grammar, cohesion and structure. This technology review reports an overview of the complementary use of Notion and Notion AI and discusses their affordances and limitations for L2 writing pedagogy.