This article outlines a workshop orienting sociology graduate students to overcoming challenges in publishing. Although graduate students are increasingly told to publish, little guidance exists on how to best prepare them for this venture; mentorship scholarship typically assumes the professor--student relationship is the best or most appropriate…

An automated essay scoring (AES) program is a software system that uses techniques from corpus and computational linguistics and machine learning to grade essays. In this study, we aimed to describe and evaluate particular language features of Coh-Metrix for a novel AES program that would score junior and senior high school students' essays from…

Despite the breadth of integrated writing assessment research, few studies have examined student perceptions of classroom-based integrated writing tasks or the instructional value of analytic rubrics. Adopting a case study methodology, this exploratory research investigated L2 learners' conceptualizations of integrated writing assessment and their…

If assessment is about improving learning and facilitating better teaching through research and helping students learn what higher education purports to value, then the often-invisible institutional barriers that do not always embrace the ways in which classroom assessment can teach an institution about student learning within individual…

Textual coherence is an important part of writing. This study examines whether textual coherence affects the quality of argumentative essays by evaluating papers written by 22 EFL university students. Firstly, the argumentative essays were evaluated by two raters using an AP English Argumentative Writing rubric available on Turnitin, an online…

The following discourse analysis examines the ways open-ended feedback, defined as dialogic, interpretative, and revisionary, fosters co-regulation and metacognition. Data come from a Writing in the Major course at a large land-grant institution in the Pacific Northwest. Students' written essays and reflections, both with teacher feedback…

We report on our analysis of talk during an assessment task where we asked children living in northern Canadian communities to draw and write about activities they share with family and friends in their daily lives. We introduce a language as context approach to assessing young children's (ages 4-6 years) literacy and sociocultural knowledge,…

In Automated Essay Scoring (AES) systems, many previous works have studied group fairness using the demographic features of essay writers. However, individual fairness also plays an important role in fair evaluation and has not been yet explored. Initialized by Dwork et al., the fundamental concept of individual fairness is "similar people…

Automated writing evaluation (AWE) has been used increasingly to provide feedback on student writing. Previous research typically focused on its inter-rater reliability with human graders and validation frameworks. The limited body of research has only discussed students' attitudes or perceptions in general. A systematic investigation of the…

Paragraph structure has been identified as consisting of three distinct parts, which are the topic sentence, supporting sentences, and a paragraph ending sentence. Although topic sentences have been widely researched, similar consideration for paragraph endings has been less forthcoming. This discrepancy may be problematic as research suggests…

Reflective writing is an important educational practice to train reflective thinking. Currently, researchers must manually analyze these writings, limiting practice and research because the analysis is time and resource consuming. This study evaluates whether machine learning can be used to automate this manual analysis. The study investigates…

Graduate students face writing anxiety and low self-efficacy regarding writing research papers. Holladay (1981) addressed the negative characteristics of anxiety in graduate students by writing: "They are frightened by a demand for writing competency, they fear evaluation of their writing because they think they will be rated negatively, they…

This paper proposes to use depth perception to represent raters' decision in holistic evaluation of ESL essays, as an alternative medium to conventional form of numerical scores. The researchers verified the new method's accuracy and inter/intra-rater reliability by inviting 24 ESL teachers to perform different representations when rating 60…

The authors of this study examined a virtually delivered multimedia expository writing strategy via a single case multiple-baseline across participants design with three college students enrolled in a postsecondary program for students with intellectual and developmental disabilities. Participants responded to expository essay prompts at the…

This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…