Keystroke loggers facilitate researchers to collect fine-grained process data and offer support in analyzing these data. Keystroke logging has become popular in writing research, and study by study we are now paving the path to a better understanding of writing process data. However, few researchers have concentrated on how to bring keystroke logging to the classroom. Not because they are not convinced that writing development could benefit from a more process-oriented pedagogy, but because 'translating' complex and large data sets to an educational context is challenging. Therefore, we have developed a new function in Inputlog, specifically aiming to facilitate writing tutors in providing process feedback to their students. Based on an XML- logfile, the so-called 'report' function automatically generates a pdf-file addressing different perspectives of the writing process: pausing, revision, source use, and fluency. These perspectives are reported either quantitatively or visually. Brief introductory texts explain the information presented. Inputlog provides a default feedback report, but users can also customize the report. This paper describes the process report and demonstrates the use of it in an intervention. We also present some additional pedagogical scenarios to actively use this type of feedback in writing classes.

Teaching the craft of written science communication is an arduous task that requires familiarity with disciplinary writing conventions. With the burgeoning of technological advancements, practitioners preparing novice research writers can begin to augment teaching and learning with activities in digital writing environments attuned to the conventions of scientific writing in the disciplines. The Research Writing Tutor (RWT) is one such technology. Grounded in an integrative theoretical framework, it was designed to help students acquire knowledge about the research article genre and develop research writing competence. One of its modules was designed to facilitate revision by providing different forms of automated feedback and scaffolding that are genre-based and discipline-specific. This study explores whether and how the features of the RWT may impact revision while using this module of the tool. Drawing from cognitive writing modeling, this study investigates the behaviors of a multidisciplinary group of 11 graduate-student writers by exploring how they interacted with the RWT's features and how this interaction may create conditions for enhanced revision processes and text modifications. Findings demonstrate promising potential for the use of this automated feedback tool in fostering writers' metacognitive processing during revision. This research adds to theory on cognitive writing models by acknowledging the evolving role of digital environments in writing practices and offering insights into future development of automated tools for genre-based writing instruction.

A common practice in writing centers is to record the events of a tutoring session after it has occurred. Commonly written by tutors, “session notes” can be a useful resource for the day-to-day support work in which tutors engage. Currently, however, little research exists on how session notes can be used to measure tutor development and change over time. Instead, research focuses predominantly how particular audiences interact with session notes, rather than the linguistic content therein. This study addresses the gap in research between the conceptual and practical uses of session notes. The researchers implemented semesterly training modules for tutors, and then conducted a longitudinal discourse analysis of 1,261 session notes that were collected over six semesters. Session notes were coded for 12 variables to include behavioral, semantic, and affective reflections on writing center work. From this analysis, we were able to conceptualize how, in completing these forms, tutors describe their tutoring practice and demonstrate their tutoring knowledge. Findings show that, for many aspects of note taking, a semester of experience has an effect on tutors, such that they start to conform on note taking practices; however, specific trainings can change the behavior of experienced tutors.

Two long-standing assumptions on which writing centers operate are that individual tutoring helps students’ writing development and that the actual talk of such tutoring enables such development (Bruffee, 1984; Lunsford, 1991; Gillespie & Lerner, 2008; Mackiewicz & Thompson, 2015). Questions, long thought of as one of the most important pedagogical tools, enable writing tutors to tap into students’ knowledge of writing, help them clarify the writing task, advance their thoughts, and advise them indirectly on how to proceed further. Whereas writing center lore has emphasized the importance of questioning in non-directive tutorials, scholars have only recently begun to explore empirically tutors’ actual use of questions more generally in tutorials, the differentiated functions of questions, and the strategic use of questions in tutorial discourse (Thompson & Mackiewicz, 2014).In this study we present an original, empirical scheme for coding question types in writing tutorials derived from 15 writing tutorial sessions in our own corpus of the genre. We apply this functionally oriented scheme to one typical session to show how questions operate locally, how they are distributed across a session, as well as how they achieve both pedagogical and organizational goals within such interactions. The use of questions in this tutorial is compared with question use in 14 other sessions to discover patterns in tutors’ questioning behavior. Our findings provide insight into how tutors’ strategic use of particular question types can empower students to become more active participants in the tutorial.