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Teaching Candidates to Assess Student Learning: A COVID Collaboration with Arts and Sciences Faculty
Ruppert, Nancy B.; Pisano, Jessica – Current Issues in Middle Level Education, 2021
In the fall of 2020, due to COVID, our pre-service teachers did not have access to student work samples early in the semester. In order to learn how to assess student learning I reached out to an Arts and Sciences faculty who teaches a freshman course. The Arts and Sciences faculty was a former middle school teacher who was scheduled to talk about…
Descriptors: Teacher Educators, College Faculty, Teacher Collaboration, Student Evaluation
Hanson, Kelly; Yaggi Rodak, Miranda – Journal of Teaching and Learning with Technology, 2021
This reflective essay documents the adaptation of an active-learning strategy in response to the spring 2020 global pandemic. We detail how we adapted it from its original form as an intentionally nondigital, face-to-face, team-based activity into a new, fully digital format. We articulate the active-learning methods driving the original design as…
Descriptors: Undergraduate Students, Active Learning, Collaborative Writing, Electronic Learning
Erman Aslanoglu, Aslihan; Sata, Mehmet – Participatory Educational Research, 2021
When students present writing tasks that require higher order thinking skills to work, one of the most important problems is scoring these writing tasks objectively. The fact that raters give scores below or above their performance based on several environmental factors affects the consistency of the measurements. Inconsistencies in scoring…
Descriptors: Interrater Reliability, Evaluators, Error of Measurement, Writing Evaluation
Sahin, Alper – Shanlax International Journal of Education, 2021
There are several student performances assessed in Intensive English Programs (IEPs) worldwide in each academic year. These student performances are mostly graded by human raters with a certain degree of error. However, the accuracy of these performance assessments is of utmost importance because they feed data into some high stakes decisions…
Descriptors: Intensive Language Courses, Second Language Instruction, Second Language Learning, English (Second Language)
Benali, Ameni – English Language Teaching, 2021
It is undeniable that attempts to develop automated feedback systems that support and enhance language learning and assessment have increased in the last few years. The growing demand for using technology in the classroom and the promotions provided by automated- written-feedback program developers and designers, drive many educational…
Descriptors: Writing Evaluation, Writing Instruction, Feedback (Response), English (Second Language)
Chakraborty, Deya; Soyoof, Ali; Moharami, Mehdi; Utami, Ade Dwi; Zeng, Shaoru; Cong-Lem, Ngo; Hradsky, Danielle; Maestre, Jacky-Lou; Foomani, Elham M.; Pretorius, Lynette – Educational and Developmental Psychologist, 2021
Objective: While academic writing is considered a core competency in academia, academic writing anxiety is ubiquitous in doctoral student cohorts. Doctoral writing groups provide a space for participants to learn from each other's writing through the peer feedback process. In this conceptual review, we explore the dialogic nature of the peer…
Descriptors: Feedback (Response), Academic Language, Writing (Composition), Doctoral Students
Mozer, Reagan; Miratrixy, Luke; Relyea, Jackie Eunjung; Kim, James S. – Annenberg Institute for School Reform at Brown University, 2021
In a randomized trial that collects text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by human raters. An impact analysis can then be conducted to compare treatment and control groups, using the hand-coded scores as a measured outcome. This…
Descriptors: Scoring, Automation, Data Analysis, Natural Language Processing
Michelle Herridge – ProQuest LLC, 2021
Evaluation of student written work during summative assessments is an important and critical task for instructors at all educational levels. Nevertheless, few research studies exist that provide insights into how different instructors approach this task. Chemistry faculty (FIs) and graduate student instructors (GSIs) regularly engage in the…
Descriptors: Science Instruction, Chemistry, College Faculty, Teaching Assistants
Ning Fan – ProQuest LLC, 2021
Articulating ideas in writing based on English conventions may be one of the biggest challenges for English as a foreign language students, which makes corrective feedback (CF) an indispensable part in writing practice. In terms of providing CF, researchers have claimed that indirect CF has a number of advantages for the improvement of students'…
Descriptors: Foreign Countries, College Students, Feedback (Response), Teacher Response
Masoud Rahimi; Jalil Fathi; Di Zou – Education and Information Technologies, 2025
Grounded in the activity theory, we adopted a sequential explanatory mixed-methods approach to explore the impact of automated written corrective feedback (AWCF) on English as a foreign language (EFL) learners' academic writing skills (i.e. task achievement, coherence and cohesion, lexicon, and grammatical range and accuracy). To this end, two…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Tests
Xiaoling Bai; Nur Rasyidah Mohd Nordin – Eurasian Journal of Applied Linguistics, 2025
A perfect writing skill has been deemed instrumental to achieving competence in EFL, yet it is considered one of the most impressive learning domains. This study investigates the impact of human-AI collaborative feedback on the writing proficiency of EFL students. It examines key teaching domains, including the teaching environment, teacher…
Descriptors: Artificial Intelligence, Feedback (Response), Evaluators, Writing Skills
Ali Abbas Falah Alzubi; Mohd Nazim; Naji Alyami – Education and Information Technologies, 2025
AI-generative tools, such as ChatGPT, are argued to hold the potential to contribute to creative thinking in education broadly and second language education specifically. Nonetheless, existing literature underscores a critical requirement to elucidate the specific nature of this contribution among English as a Foreign Language (EFL) undergraduates…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Benefits, Barriers
Erna Iftanti; Arpinda Syifa’a Awalin; Latif Amrullah – Dinamika Ilmu, 2025
In response to the absence of a module for academic writing courses in a multicultural classroom context and the problems of starting to write and finding ideas for academic writing, this research aims to develop an academic writing module that meets the teachers' and undergraduate students' needs and voices. This study employed ADDIE model of…
Descriptors: Course Descriptions, Cultural Pluralism, Essays, Brainstorming
Xu, Jinfen; Zhang, Shanshan – Asia-Pacific Education Researcher, 2022
Automated writing evaluation (AWE) systems have been increasingly incorporated in L2 writing instruction. However, how the instructional use of AWE influences learners' writing has remained inconclusive partly due to variations in heterogeneous learners. Underpinned by a sociocultural theory, this classroom-based study was to understand how…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Writing Evaluation
Heidari, Nasim; Ghanbari, Nasim; Abbasi, Abbas – Language Testing in Asia, 2022
It is widely believed that human rating performance is influenced by an array of different factors. Among these, rater-related variables such as experience, language background, perceptions, and attitudes have been mentioned. One of the important rater-related factors is the way the raters interact with the rating scales. In particular, how raters…
Descriptors: Evaluators, Rating Scales, Language Tests, English (Second Language)

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