While plenty of gadgets cross our desks, we at Engadget also end up buying a lot of things for ourselves throughout the year. In 2021, some of us invested in smart home devices and others (re)discovered passions for things like e-books and vinyl, but there are plenty of things we bought and loved that didn't make it onto the site. Here, our staffers look back on the year that was by gushing about their favorite items they bought this year. After a few years of waffling, I finally pulled the trigger in 2021 and bought a Dyson stick vacuum. You could say I fell for the hype, but honestly it's been one of my favorite purchases of the year and arguably the most useful. Until now, we had been relying on a few-years-old Roomba (lovingly named Dale) to clean our two-bedroom apartment -- Dale did a good job, but the Dyson is even better.

Although freewriting strategies are commonly taught in composition courses, there have been few empirical studies on freewriting. We address this gap by examining effects of prior writing skills (as measured by a pre-write essay), freewriting training, text-box size (1, 10, 20 lines), and repetitive writing on freewriting quality. Participants watched an agent-based vicarious learning freewriting instruction video or a control video including brief instructions on freewriting. After training, participants wrote six freewrites, two in each box size. Lesson delivery and text box size did not affect expert human ratings of the freewrites. Furthermore, participants did not benefit from writing successive freewrites regardless of their initial skill level. We describe how these results have been used to inform the design of Writing-Pal, an essay-writing intelligent tutoring system.

This study examines the relation between the linguistic features of freewrites and human assessments of freewriting quality. This study builds upon the authors’ previous studies in which a model was developed based on the linguistic features of freewrites written by 9th and 11th grade students to predict freewrite quality. The current study reexamines this model using number of propositions as a predictor instead of number of words because the number of propositions was expected to be a better proxy for number of ideas in contrast to simple text length. The results indicated that there were only slight advantages for using a measure for number of propositions, indicating that from an artificial intelligence perspective, the number of words was the better measure.