Given the multimodal nature of new modes of electronic feedback, such as screencasting, there is a need for the application of robust, theoretically grounded frameworks to capture linguistic and functional differences in feedback across modes. The present study argues that the appraisal framework, an outgrowth of systemic functional linguistics (SFL) that focuses on evaluative language and interpersonal meaning, can provide understanding of and discernment between technology-mediated modes of feedback. The study demonstrates this potential through an appraisal analysis of a small corpus of 16 screencast video and 16 text (MS Word comment) feedback files given to eight students over four assignments in an intermediate ESL writing class. The results suggest possible variation between the video and text feedback in reviewer positioning and feedback purpose. Specifically, video seems to position the reviewer as one of many possible perspectives with feedback focused on possibility and suggestion, while the text feedback seems to position the reviewer as authority with feedback focused on correctness. The findings suggest that appraisal can aid in the understanding of multimodal feedback and identifying differences between feedback modes.

As technology has made a range of modes of communication available and created new ways to integrate these modes, feedback has become increasingly electronic and multimodal. From written to audio, video, and screencast feedback, the multimodal options for electronic feedback (e-feedback) have expanded in such a way that we might speak of a ‘multimodal turn’ in feedback on foreign and second language writing. However, feedback studies on second language writing are just beginning to explore these complex areas. This essay offers a multimodal perspective on e-feedback by illustrating the scope of current research and highlights future research directions. The retrospective underscores the scarcity of research in the area with a specific focus on multimodality and identifies needs for speciality feedback systems that consider practical and contextualized perspectives. We argue that future research should strive for a context-rich description of e-feedback activities, gathering thick data about feedback provision, learner engagement with feedback and uptake through screencasting, eye-tracking, and keystroke logging technologies. These data should be triangulated with information about all factors impacting the feedback activity outcome, ranging from participant variables over modal affordances of the platforms used to environmental factors like institutional support.