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Emily Dux Speltz – ProQuest LLC, 2023
Writing is an essential skill for success in many academic and professional settings. Despite receiving individualized feedback on their writing, many students struggle with writing in postsecondary education. This dissertation addresses this gap by focusing on the writing process--the moment-by-moment actions taken during writing--rather than the…
Descriptors: Writing Instruction, Individualized Instruction, Automation, Feedback (Response)
Joshua Kloppers – International Journal of Computer-Assisted Language Learning and Teaching, 2023
Automated writing evaluation (AWE) software is an increasingly popular tool for English second language learners. However, research on the accuracy of such software has been both scarce and largely limited in its scope. As such, this article broadens the field of research on AWE accuracy by using a mixed design to holistically evaluate the…
Descriptors: Grammar, Automation, Writing Evaluation, Computer Assisted Instruction
Changhao Liang; Izumi Horikoshi; Rwitajit Majumdar; Brendan Flanagan; Hiroaki Ogata – Educational Technology & Society, 2023
Data-driven platforms with rich data and learning analytics applications provide immense opportunities to support collaborative learning such as algorithmic group formation systems based on learning logs. However, teachers can still get overwhelmed since they have to manually set the parameters to create groups and it takes time to understand the…
Descriptors: Automation, Grouping (Instructional Purposes), Groups, Student Characteristics
Advancing Language Assessment with AI and ML--Leaning into AI Is Inevitable, but Can Theory Keep Up?
Xiaoming Xi – Language Assessment Quarterly, 2023
Following the burgeoning growth of artificial intelligence (AI) and machine learning (ML) applications in language assessment in recent years, the meteoric rise of ChatGPT and its sweeping applications in almost every sector have left us in awe, scrambling to catch up by developing theories and best practices. This special issue features studies…
Descriptors: Artificial Intelligence, Theory Practice Relationship, Language Tests, Man Machine Systems
Daryl Monear; Isaac Kwakye; Mark Lundgren; Rebecca Byrne; Summer Kenesson; Travis Dulany; David Wallace; Terje Gjertsen; Erika Borg; Kristofer Johnson – Washington Student Achievement Council, 2023
The Washington Student Achievement Council (WSAC) has prepared this analysis in collaboration with the State Board for Community and Technical Colleges (SBCTC), the Workforce Training and Education Coordinating Board (Workforce Board), and the Association of Washington Business, as part of a broad educational needs assessment outlined in RCW…
Descriptors: Higher Education, Labor Market, Alignment (Education), Needs Assessment
Qian, Leyi; Zhao, Yali; Cheng, Yan – Journal of Educational Computing Research, 2020
Automated writing scoring can not only provide holistic scores but also instant and corrective feedback on L2 learners' writing quality. It has been increasing in use throughout China and internationally. Given the advantages, the past several years has witnessed the emergence and growth of writing evaluation products in China. To the best of our…
Descriptors: Foreign Countries, Automation, Scoring, Writing (Composition)
Murad, Dina Fitria; Heryadi, Yaya; Isa, Sani Muhamad; Budiharto, Widodo – Education and Information Technologies, 2020
The recommender system has gained research attention from education research communities mainly due to two main reasons: increasing needs for personalized learning and big data availability in the education sector. This paper presents a hybrid user-collaborative, rule-based filtering recommendation system for education context. User profiles are…
Descriptors: Automation, Online Systems, Electronic Learning, Prediction
Nicula, Bogdan; Perret, Cecile A.; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2020
Theories of discourse argue that comprehension depends on the coherence of the learner's mental representation. Our aim is to create a reliable automated representation to estimate readers' level of comprehension based on different productions, namely self-explanations and answers to open-ended questions. Previous work relied on Cohesion Network…
Descriptors: Network Analysis, Reading Comprehension, Automation, Artificial Intelligence
Gitinabard, Niki; Okoilu, Ruth; Xu, Yiqao; Heckman, Sarah; Barnes, Tiffany; Lynch, Collin – International Educational Data Mining Society, 2020
Teamwork, often mediated by version control systems such as Git and Apache Subversion (SVN), is central to professional programming. As a consequence, many colleges are incorporating both collaboration and online development environments into their curricula even in introductory courses. In this research, we collected GitHub logs from two…
Descriptors: Teamwork, Group Activities, Student Projects, Programming
Mun, Jiyeong; Kim, Mijung; Kim, Sung-Won – Asia-Pacific Science Education, 2022
This study investigates what perspectives younger students considered and how they experienced the complexity of multiple perspectives about autonomous vehicle issues. Over the course of 6 weeks, 28 seventh-grade Korean students participated in role-play and group discussion to understand different perspectives on the issue. We qualitatively…
Descriptors: Foreign Countries, Grade 7, Automation, Motor Vehicles
Ismael, Kozhin Omer; Saeed, Kochar Ali; Ibrahim, Airin Shwan; Fatah, Diya Shawkat – Arab World English Journal, 2022
While technology has undoubtedly improved and has become an essential component of modern life, technological advances' consequences have both beneficial and detrimental impacts on students' writing skills in the classroom. Technology has accelerated and simplified work for students, but it has also instilled the belief that there is no need to…
Descriptors: Automation, Error Correction, Writing Skills, College Students
Wilson, Joshua; Myers, Matthew C.; Potter, Andrew – Assessment in Education: Principles, Policy & Practice, 2022
We investigated the promise of a novel approach to formative writing assessment at scale that involved an automated writing evaluation (AWE) system called MI Write. Specifically, we investigated elementary teachers' perceptions and implementation of MI Write and changes in students' writing performance in three genres from Fall to Spring…
Descriptors: Writing Evaluation, Formative Evaluation, Automation, Elementary School Teachers
Monique H. Harrison; Philip A. Hernandez – Grantee Submission, 2022
The interview experience is only one component of the process of interviewing -- software programmes can coordinate the pre-interview steps and begin a digitally-mediated relationship with participants long before the actual interview commences. This essay provides examples of how researchers can maximise their time and energy by digitally…
Descriptors: College Freshmen, Interviews, Computer Uses in Education, Computer Software
Fox, Carly B.; Israelsen-Augenstein, Megan; Jones, Sharad; Gillam, Sandra Laing – Journal of Speech, Language, and Hearing Research, 2021
Purpose: This study examined the accuracy and potential clinical utility of two expedited transcription methods for narrative language samples elicited from school-age children (7;5-11;10 [years;months]) with developmental language disorder. Transcription methods included real-time transcription produced by speech-language pathologists (SLPs) and…
Descriptors: Transcripts (Written Records), Child Language, Narration, Language Impairments
Richardson, Mary; Clesham, Rose – London Review of Education, 2021
Our world has been transformed by technologies incorporating artificial intelligence (AI) within mass communication, employment, entertainment and many other aspects of our daily lives. However, within the domain of education, it seems that our ways of working and, particularly, assessing have hardly changed at all. We continue to prize…
Descriptors: Artificial Intelligence, High Stakes Tests, Computer Assisted Testing, Educational Change

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