Writing motivation and ability profiles and transition during a technology-based writing intervention
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C. Palermo | Joshua Wilson | Matthew C. Myers | Halley Eacker | Andrew Potter | Tania Cruz Cordero | Jessica Coles
[1] Rui-ling Li. Still a fallible tool? Revisiting effects of automated writing evaluation from activity theory perspective , 2022, Br. J. Educ. Technol..
[2] Bram De Wever,et al. Do cognitive processes and motives for argumentative writing converge in writer profiles? , 2022, The Journal of Educational Research.
[3] G. A. Troia,et al. Latent Profiles of Writing-related Skills, Knowledge, and Motivation for Elementary Students and Their Relations to Writing Performance across Multiple Genres , 2022, Contemporary Educational Psychology.
[4] H. Van den Bergh,et al. How students perform synthesis tasks: An empirical study into dynamic process configurations. , 2022, Journal of Educational Psychology.
[5] S. Graham,et al. A teacher technology tango shows strong results on 5th graders persuasive writing , 2022, Educational technology research and development.
[6] Andrew Potter,et al. Integrating goal-setting and automated feedback to improve writing outcomes: a pilot study , 2022, Innovation in Language Learning and Teaching.
[7] K. Harris,et al. Writing motivation questionnaire: validation and application as a formative assessment , 2022, Assessment in Education: Principles, Policy & Practice.
[8] Haoran Xie,et al. A review of AWE feedback: types, learning outcomes, and implications , 2022, Computer Assisted Language Learning.
[9] Johannes Bauer. A primer to latent profile and latent class analysis , 2021 .
[10] Clarence Ng,et al. Relationships between writing motives, writing self-efficacy and time on writing among Chinese students: path models and cluster analyses , 2021, Reading and Writing.
[11] H. Van Keer,et al. Relations among motivation, behaviour, and performance in writing: A multiple-group structural equation modeling study. , 2021, The British journal of educational psychology.
[12] Joshua Wilson,et al. Elementary teachers' perceptions of automated feedback and automated scoring: Transforming the teaching and learning of writing using automated writing evaluation , 2021, Comput. Educ..
[13] Jochen De Weerdt,et al. A review of automated feedback systems for learners: Classification framework, challenges and opportunities , 2021, Comput. Educ..
[14] Sara K. Johnson. Latent profile transition analyses and growth mixture models: A very non-technical guide for researchers in child and adolescent development. , 2021, New directions for child and adolescent development.
[15] Joshua Wilson,et al. Automated Feedback and Automated Scoring in the Elementary Grades: Usage, Attitudes, and Associations with Writing Outcomes in a Districtwide Implementation of MI Write , 2021, International Journal of Artificial Intelligence in Education.
[16] Anna Elizabeth Talley,et al. Misspecification of longitudinal measurement invariance within the latent transition analysis framework , 2021 .
[17] Zsuzsa Bakk,et al. Relating latent class membership to external variables: An overview , 2020, The British journal of mathematical and statistical psychology.
[18] P. Boscolo,et al. Writing Motivation in School: a Systematic Review of Empirical Research in the Early Twenty-First Century , 2020 .
[19] Joshua Wilson,et al. Implementing Automated Writing Evaluation in Different Instructional Contexts: A Mixed-Methods Study , 2020, Journal of Writing Research.
[20] Stephanie Link,et al. Impact of automated writing evaluation on teacher feedback, student revision, and writing improvement , 2020, Computer Assisted Language Learning.
[21] Rod D. Roscoe,et al. Automated Writing Evaluation and Feedback: Multiple Metrics of Efficacy , 2020, Journal of Educational Computing Research.
[22] Katherine Landau Wright,et al. Writing Motivation and Middle School: An Examination of Changes in Students’ Motivation for Writing , 2020 .
[23] Muhammad M. M. Abdel Latif. Unresolved issues in defining and assessing writing motivational constructs: A review of conceptualization and measurement perspectives , 2019, Assessing Writing.
[24] K. Harris,et al. The roles of writing knowledge, motivation, strategic behaviors, and skills in predicting elementary students’ persuasive writing from source material , 2019 .
[25] Glenda Andrews,et al. Gender Differences in Reading and Writing Achievement: Evidence From the National Assessment of Educational Progress (NAEP) , 2019, The American psychologist.
[26] Michael Hebert,et al. Generalizability of Automated Scores of Writing Quality in Grades 3–5 , 2019, Journal of Educational Psychology.
[27] Antje Proske,et al. Digital support for academic writing: A review of technologies and pedagogies , 2019, Comput. Educ..
[28] Evan J. Fishman,et al. Writing Skills, Knowledge, Motivation, and Strategic Behavior Predict Students’ Persuasive Writing Performance in the Context of Robust Writing Instruction , 2019, The Elementary School Journal.
[29] N. Hockly. Automated writing evaluation , 2018, ELT Journal.
[30] Samantha G. Daley,et al. Do writing motivational beliefs predict middle school students' writing performance? , 2018, Journal of Research in Reading.
[31] Steve Graham,et al. A Revised Writer(s)-Within-Community Model of Writing , 2018, Educational Psychologist.
[32] P. Deane. The Challenges of Writing in School: Conceptualizing Writing Development Within a Sociocognitive Framework , 2018, Educational Psychologist.
[33] S. Zumbrunn,et al. Clarifying an Elusive Construct: a Systematic Review of Writing Attitudes , 2018 .
[34] S. Graham,et al. Effects of SRSD college entrance essay exam instruction for high school students with disabilities or at-risk for writing difficulties , 2018, Reading and Writing.
[35] Kristen D. Ritchey,et al. An Analysis of First-Grade Writing Profiles and Their Relationship to Compositional Quality , 2018, Journal of learning disabilities.
[36] C. Palermo,et al. Teacher implementation of Self-Regulated Strategy Development with an automated writing evaluation system: Effects on the argumentative writing performance of middle school students , 2018 .
[37] Cynthia S. Puranik,et al. Profiles of Emergent Writing Skills Among Preschool Children , 2018 .
[38] Barry Rosenfeld,et al. Full Information Maximum Likelihood Estimation for Latent Variable Interactions With Incomplete Indicators , 2017, Multivariate behavioral research.
[39] Joshua Wilson,et al. Automated essay evaluation software in English Language Arts classrooms: Effects on teacher feedback, student motivation, and writing quality , 2016, Comput. Educ..
[40] N. S Moore,et al. Student Use of Automated Essay Evaluation Technology during Revision , 2016 .
[41] John P. Meyer,et al. Multiple-Group Analysis of Similarity in Latent Profile Solutions , 2016 .
[42] C. MacArthur,et al. A Multicomponent Measure of Writing Motivation With Basic College Writers , 2016 .
[43] Steve Graham,et al. Formative Assessment and Writing , 2015, The Elementary School Journal.
[44] Paige Ware,et al. Feedback for Adolescent Writers in the English Classroom: Exploring Pen-and-Paper, Electronic, and Automated Options , 2014 .
[45] Mark D. Shermis,et al. State-of-the-art automated essay scoring: Competition, results, and future directions from a United States demonstration , 2014 .
[46] Douglas F. Kauffman,et al. Examining Dimensions of Self-Efficacy for Writing. , 2013 .
[47] Stephen Graham,et al. Word processing programs and weaker writers/readers: a meta-analysis of research findings , 2012 .
[48] Kimberly A Wolbers,et al. Motivation Research in Writing: Theoretical and Empirical Considerations , 2012 .
[49] P. Boscolo,et al. Teaching Elementary School Students to Play With Meanings and Genre , 2012 .
[50] Christophe Maïano,et al. General Growth Mixture Analysis of Adolescents' Developmental Trajectories of Anxiety: The Impact of Untested Invariance Assumptions on Substantive Interpretations , 2011 .
[51] Mark Warschauer,et al. Utility in a Fallible Tool: A Multi-Site Case Study of Automated Writing Evaluation. , 2010 .
[52] Thomas Quinlan,et al. Does Automated Feedback Help Students Learn to Write? , 2010 .
[53] Stephanie T. Lanza,et al. Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences , 2009 .
[54] Ulrich Trautwein,et al. Please Scroll down for Article Structural Equation Modeling: a Multidisciplinary Journal Classical Latent Profile Analysis of Academic Self-concept Dimensions: Synergy of Person-and Variable-centered Approaches to Theoretical Models of Self-concept , 2022 .
[55] M. Warschauer,et al. Automated Writing Assessment in the Classroom , 2008 .
[56] B. Muthén,et al. Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study , 2007 .
[57] Virginia W. Berninger,et al. The structural relationship between writing attitude and writing achievement in first and third grade students , 2007 .
[58] Carl W. Swartz,et al. Subtypes of Written Expression in Elementary School Children: A Linguistic-Based Model , 2006, Developmental neuropsychology.
[59] Carl W. Swartz,et al. Aptitude–Treatment Interactions Revisited: Effect of Metacognitive Intervention on Subtypes of Written Expression in Elementary School Students , 2006, Developmental neuropsychology.
[60] M. Daane,et al. The Nation's Report Card: Writing, 2002. , 2003 .
[61] Gale H. Roid,et al. Patterns of Writing Skills Derived From Cluster Analysis of Direct-Writing Assessments , 1994 .
[62] Anthony S. Bryk,et al. Hierarchical Linear Models: Applications and Data Analysis Methods , 1992 .
[63] Aek Phakiti,et al. The effects of computer-generated feedback on the quality of writing , 2014 .
[64] Charles A. MacArthur,et al. Self-Regulated Strategy Instruction in College Developmental Writing. , 2014 .
[65] A. Bandura. Self-efficacy mechanism in human agency. , 1982 .