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Zebo Xu; Prerit S. Mittal; Mohd. Mohsin Ahmed; Chandranath Adak; Zhenguang G. Cai – Reading and Writing: An Interdisciplinary Journal, 2025
The rise of the digital era has led to a decline in handwriting as the primary mode of communication, resulting in negative effects on handwriting literacy, particularly in complex writing systems such as Chinese. The marginalization of handwriting has contributed to the deterioration of penmanship, defined as the ability to write aesthetically…
Descriptors: Handwriting, Writing Skills, Chinese, Ideography
Moschella, Jennifer A. – ProQuest LLC, 2023
In higher education, the entry-level, not-for-credit courses in Developmental Education play a pivotal role for incoming degree-seeking students. Focusing specifically on Developmental Writing, at two- and four-year public and private institutions across the country, a common requirement to pass the course is a summative argumentative essay that…
Descriptors: Formative Evaluation, Writing Skills, Computer Assisted Testing, Basic Writing
Xiong, Jiawei; Li, Feiming – Educational Measurement: Issues and Practice, 2023
Multidimensional scoring evaluates each constructed-response answer from more than one rating dimension and/or trait such as lexicon, organization, and supporting ideas instead of only one holistic score, to help students distinguish between various dimensions of writing quality. In this work, we present a bilevel learning model for combining two…
Descriptors: Scoring, Models, Task Analysis, Learning Processes
Yue Huang; Joshua Wilson – Journal of Computer Assisted Learning, 2025
Background: Automated writing evaluation (AWE) systems, used as formative assessment tools in writing classrooms, are promising for enhancing instruction and improving student performance. Although meta-analytic evidence supports AWE's effectiveness in various contexts, research on its effectiveness in the U.S. K-12 setting has lagged behind its…
Descriptors: Writing Evaluation, Writing Skills, Writing Tests, Writing Instruction
Al-Mwzaiji, Khaled Nasser Ali; Alzubi, Ali Abbas Falah – Asian-Pacific Journal of Second and Foreign Language Education, 2022
Students need more independent roles to evaluate their learning performance, especially in the absence of teachers' feedback due to some constraints such as technology and poor experience. This study investigates the potential of online self-evaluation on students' writing skills in English as a foreign language (EFL). It examines the preparatory…
Descriptors: Self Evaluation (Individuals), Writing Skills, English (Second Language), Second Language Instruction
Pourdana, Natasha – Asian-Pacific Journal of Second and Foreign Language Education, 2022
Diagnostic assessment (DIA) is under-researched in second/foreign language education despite its common practice across a wide range of professions such as medicine, mechanics, and information technology. This study aimed at exploring the impact of computer-assisted DIA on the sustainable improvement of English-as-a-Foreign-Language (EFL)…
Descriptors: English (Second Language), Second Language Learning, Student Evaluation, Computer Assisted Testing
Anneen Church – Perspectives in Education, 2023
Restrictions and challenges brought on by the COVID-19 pandemic challenged higher education institutions to innovate to keep reaching teaching and learning goals. In South Africa, existing social inequalities were exacerbated by the pandemic restrictions and many students faced severe challenges in terms of access and support to aid in their…
Descriptors: Foreign Countries, Writing Tests, Student Evaluation, COVID-19
Neha Biju; Nasser Said Gomaa Abdelrasheed; Khilola Bakiyeva; K. D. V. Prasad; Biruk Jember – Language Testing in Asia, 2024
In recent years, language practitioners have paid increasing attention to artificial intelligence (AI)'s role in language programs. This study investigated the impact of AI-assisted language assessment on L2 learners' foreign language anxiety (FLA), attitudes, motivation, and writing skills. The study adopted a sequential exploratory mixed-methods…
Descriptors: Artificial Intelligence, Computer Software, Computer Assisted Testing, Second Language Instruction
Shoeb Saleh; Abdullah Ibrahim Alsubhi – Language Testing in Asia, 2025
This study inspected how techno-competence in artificial intelligence (AI)-driven evaluations affected EFL learners' boredom, self-esteem, and writing skills. To do so, 66 Saudi Arabian male students from Saudi Arabia participated in the study. They were then split into the experimental group (EG) and the control group (CG). While the CG was…
Descriptors: Self Esteem, Writing Skills, Artificial Intelligence, English (Second Language)
Rebecca Red Wolf; Andrew B. Wolf – Online Learning, 2023
Nursing education is transitioning from traditional teaching to competency-based education. Additionally, more nursing courses and programs are now offered online. Scholarly writing is a powerful strategy to teach effective communication and critical thinking, both core competencies for safe and effective nursing practice. However, teaching…
Descriptors: Artificial Intelligence, Course Evaluation, Competency Based Education, Online Courses
Sherkuziyeva, Nasiba; Imamutdinovna Gabidullina, Farida; Ahmed Abdel-Al Ibrahim, Khaled; Bayat, Sania – Language Testing in Asia, 2023
This study aimed to examine the impacts of computerized dynamic assessment (C-DA) and rater-mediated assessment on the test anxiety, writing performance, and oral proficiency of Iranian EFL learners. Based on Preliminary English Test (PET) results, a sample of 64 intermediate participants was chosen from 93 students. Running a convenience sampling…
Descriptors: Comparative Analysis, Computer Assisted Testing, English (Second Language), Second Language Learning
Goodwin, Amanda P.; Petscher, Yaacov; Jones, Sara; McFadden, Sara; Reynolds, Dan; Lantos, Tess – Reading Teacher, 2020
The authors describe Monster, P.I., which is an app-based, gamified assessment that measures language skills (knowledge of morphology, vocabulary, and syntax) of students in grades 5-8 and provides teachers with interpretable score reports to drive instruction that improves vocabulary, reading, and writing ability. Specifically, the authors…
Descriptors: Computer Assisted Testing, Handheld Devices, Language Maintenance, Language Tests
Conner, Carlin; Henry, Alyssa R.; Solari, Emily J.; Zajic, Matthew C. – Autism & Developmental Language Impairments, 2022
Background and aims: Due to the COVID-19 pandemic, tele-health has gained popularity for both providing services and delivering assessments to children with disabilities. In this manuscript, we discuss the process of collecting standardized oral language, reading, and writing tele-assessment data with early elementary children with autism spectrum…
Descriptors: Oral Language, Written Language, Writing Skills, Writing Evaluation
Passonneau, Rebecca J.; Poddar, Ananya; Gite, Gaurav; Krivokapic, Alisa; Yang, Qian; Perin, Dolores – International Journal of Artificial Intelligence in Education, 2018
Development of reliable rubrics for educational intervention studies that address reading and writing skills is labor-intensive, and could benefit from an automated approach. We compare a main ideas rubric used in a successful writing intervention study to a highly reliable wise-crowd content assessment method developed to evaluate…
Descriptors: Computer Assisted Testing, Writing Evaluation, Content Analysis, Scoring Rubrics
Goodwin, Amanda P.; Petscher, Yaacov; Jones, Sara; McFadden, Sara; Reynolds, Dan; Lantos, Tess – Grantee Submission, 2020
The authors describe Monster, PI, which is an app-based, gamified assessment that measures language skills (knowledge of morphology, vocabulary, and syntax) of students in grades 5-8 and provides teachers with interpretable score reports to drive instruction that improves vocabulary, reading, and writing ability. Specifically, the authors describe…
Descriptors: Computer Assisted Testing, Handheld Devices, Language Maintenance, Language Tests