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Catherine Nickerson; Peter Davidson – Business and Professional Communication Quarterly, 2024
In this discussion, we consider how the use of scenario-based assessment (SBA) can provide students with a way of developing the digital communication skills that business communication research has found they will need for the workplace, alongside other aspects of professional competence. This is because SBA can be employed to engage learners in…
Descriptors: Vignettes, Student Evaluation, Digital Literacy, Skill Development
Zong, Zheng; Schunn, Christian D.; Wang, Yanqing – Assessment & Evaluation in Higher Education, 2021
Peer review is regularly found to be a powerful and efficient technique for assessment and feedback, but many students are inexperienced and sometimes struggle to provide meaningful feedback. It is considered best practice to provide students with some training on how to be a good reviewer, but few classes can afford to devote much time to such…
Descriptors: Peer Evaluation, Formative Evaluation, Writing Assignments, Feedback (Response)
Alemdag, Ecenaz; Yildirim, Zahide – Educational Technology Research and Development, 2022
Although formative peer assessment (FPA) has become a prevailing learning activity in different educational settings, there are not enough suggestions on how to structure it with instructional supports in online environments to optimize its benefits. Therefore, this study aims to propose design guidelines for the development of an effective online…
Descriptors: Formative Evaluation, Peer Evaluation, Computer Assisted Testing, High Schools
Abby Mcguire; Warda Qureshi; Mariam Saad – International Journal of Technology in Education, 2024
Building on previous research that has demonstrated close connections between constructivism, technology, and artificial intelligence, this article investigates the constructivist underpinnings of strategically integrating GenAI experiences in higher educational contexts to catalyze student learning. This study presents a new model for leveraging…
Descriptors: Constructivism (Learning), Models, Artificial Intelligence, Individualized Instruction
Luzhen Tang; Kejie Shen; Huixiao Le; Yuan Shen; Shufang Tan; Yueying Zhao; Torsten Juelich; Xinyu Li; Dragan Gaševic; Yizhou Fan – Journal of Computer Assisted Learning, 2024
Background: Learners' writing skills are critical to their academic and professional development. Previous studies have shown that learners' self-assessment during writing is essential for assessing their writing products and monitoring their writing processes. However, conducting practical self-assessments of writing remains challenging for…
Descriptors: Self Evaluation (Individuals), Formative Evaluation, Writing Assignments, Writing Skills
Student Experiences with Peer Review and Revision for Writing-to-Learn in a Chemistry Course Context
Solaire A. Finkenstaedt-Quinn; Safron L. Milne; Michael N. Petterson; Jasen Chen; Ginger V. Shultz – Written Communication, 2024
Peer review is useful for providing students with formative feedback, yet it is used less frequently in STEM classrooms and for supporting writing-to-learn (WTL). While research indicates the benefits of incorporating peer review into classrooms, less research is focused on students' perceptions thereof. Such research is important as it speaks to…
Descriptors: Peer Evaluation, Formative Evaluation, Feedback (Response), STEM Education
Jiuliang Li – Language Education & Assessment, 2023
While self-regulated learning (SRL) has been studied in various disciplines, insufficient attention has been paid to how formative assessment/assessment for learning (AfL) promotes students' SRL in learning English as foreign language (EFL) context. The present study attempted to address the gap. Forty four non-English majors in the second year of…
Descriptors: Foreign Countries, Undergraduate Students, English (Second Language), Second Language Learning
L. Hannah; E. E. Jang; M. Shah; V. Gupta – Language Assessment Quarterly, 2023
Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…
Descriptors: Validity, Automation, Scoring, Writing Assignments