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Wang, Heqiao; Troia, Gary A. – Written Communication, 2023
The primary purpose of this study is to investigate the degree to which register knowledge, register-specific motivation, and diverse linguistic features are predictive of human judgment of writing quality in three registers--narrative, informative, and opinion. The secondary purpose is to compare the evaluation metrics of register-partitioned…
Descriptors: Writing Evaluation, Essays, Elementary School Students, Grade 4
Rahimi, Zahra; Litman, Diane; Correnti, Richard; Wang, Elaine; Matsumura, Lindsay Clare – International Journal of Artificial Intelligence in Education, 2017
This paper presents an investigation of score prediction based on natural language processing for two targeted constructs within analytic text-based writing: 1) students' effective use of evidence and, 2) their organization of ideas and evidence in support of their claim. With the long-term goal of producing feedback for students and teachers, we…
Descriptors: Scoring, Automation, Scoring Rubrics, Natural Language Processing
Boughey, Sarah; Henriques, Laura – Science and Children, 2020
When teachers first wrap their heads around scientific modeling, it can be a bit tricky to distinguish scientific models from diagrams and three-dimensional models. If a fifth grader draws and labels a food web, it's a model. Right? Not necessarily. When creating a model, students should be representing a system inspired by an inquiry or…
Descriptors: Grade 5, Elementary School Students, Models, Food
James Soland; Megan Kuhfeld – Annenberg Institute for School Reform at Brown University, 2020
Survey respondents use different response styles when they use the categories of the Likert scale differently despite having the same true score on the construct of interest. For example, respondents may be more likely to use the extremes of the response scale independent of their true score. Research already shows that differing response styles…
Descriptors: Social Emotional Learning, Scores, Likert Scales, Surveys
Coe, Michael; Hanita, Makoto; Nishioka, Vicki; Smiley, Richard – National Center for Education Evaluation and Regional Assistance, 2011
The 6+1 Trait[R] Writing model (Culham 2003) emphasizes writing instruction in which teachers and students analyze writing using a set of characteristics, or "traits," of written work: ideas, organization, voice, word choice, sentence fluency, conventions, and presentation. The Ideas trait includes the main content and message, including…
Descriptors: Models, Writing Instruction, Instructional Effectiveness, Grade 5
Koepfler, James R. – ProQuest LLC, 2012
Over the past decade, educational policy trends have shifted to a focus on examining students' growth from kindergarten through twelfth grade (K-12). One way states can track students' growth is with a vertical scale. Presently, every state that uses a vertical scale bases the scale on a unidimensional IRT model. These models make a…
Descriptors: Item Response Theory, Models, Scaling, Elementary Secondary Education
Andrade, Heidi L.; Du, Ying; Mycek, Kristina – Assessment in Education: Principles, Policy & Practice, 2010
This study investigated the relationship between middle school students' scores for a written assignment (N = 162) and a process that involved students in generating criteria and self-assessing with a rubric. Gender, time spent writing, grade level, prior rubric use, and previous achievement in English were also examined. The treatment involved…
Descriptors: Scoring Rubrics, Self Evaluation (Individuals), Middle School Students, Writing (Composition)
Quigley, Donna – Online Submission, 2011
Thai school age students as young as eight years old are increasingly being immersed in the Internet world, and as a result, they are accelerating their learning and communication skills in English even without noticing. For educators, the ICT (information communication technology) revolution that has occurred in the last few decades needs to be…
Descriptors: Foreign Countries, Electronic Learning, Information Technology, Educational Technology