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Michelle Sonnenberg; Carolyn Gubala; Justiss Burry; Jessica Griffith; Tanya Zarlengo; Lisa Melonçon – Journal of Technical Writing and Communication, 2024
We use a continuous improvement model to evaluate an information design assignment by analyzing 120 student drafts and finals alongside instructor feedback. Using data from across sections (N = 118), we illustrate a process focused on improving student learning that other technical and professional communication program administrators and faculty…
Descriptors: Assignments, Feedback (Response), Writing Evaluation, Learning Processes
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Ishaya Gambo; Faith-Jane Abegunde; Omobola Gambo; Roseline Oluwaseun Ogundokun; Akinbowale Natheniel Babatunde; Cheng-Chi Lee – Education and Information Technologies, 2025
The current educational system relies heavily on manual grading, posing challenges such as delayed feedback and grading inaccuracies. Automated grading tools (AGTs) offer solutions but come with limitations. To address this, "GRAD-AI" is introduced, an advanced AGT that combines automation with teacher involvement for precise grading,…
Descriptors: Automation, Grading, Artificial Intelligence, Computer Assisted Testing
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Zong, Zheng; Schunn, Christian D. – International Journal of Computer-Supported Collaborative Learning, 2023
Online peer feedback has proven to be practically useful for instructors and to be useful for learning, especially for the feedback provider. Because students can vary widely in skill level, some research has explored matching reviewer and author by performance level. However, past research on the impacts of reviewer matching has found little…
Descriptors: Computer Mediated Communication, Feedback (Response), Peer Evaluation, Biology
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Zong, Zheng; Schunn, Christian D.; Wang, Yanqing – Instructional Science: An International Journal of the Learning Sciences, 2023
Students benefit from receiving and providing peer feedback, but the degree of participation limits the benefit. Further, students sometimes resist participation, providing few or only short comments. Prior researchers have examined the role of general attitudes toward peer feedback in limiting participation. However, little research has examined…
Descriptors: Peer Evaluation, Feedback (Response), Performance, Prior Learning
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Jackie Tuck – Assessment & Evaluation in Higher Education, 2024
Assessors' perspectives on their evaluative practices remain relatively under-researched. Given evidence that higher education assessment and feedback continue to be problematic, this paper proposes a specific methodological innovation with potential to contribute both to research and practice in this area. It explores the potential of a…
Descriptors: Assignments, Student Evaluation, College Faculty, Undergraduate Students
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Terence G. Favero – Advances in Physiology Education, 2025
This article describes the implementation of alternative grading (AG) strategies in an upper-division kinesiology and functional human anatomy course. Traditional point-based grading systems can negatively impact student mental health, decrease intrinsic motivation, and hinder learning. To address these issues, a proficiency-based grading approach…
Descriptors: Alternative Assessment, Grading, Program Implementation, Kinesiology
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Jie Zhang; Marcie Desrochers; Michael Fensken – International Journal of Teaching and Learning in Higher Education, 2023
Feedback is an important component of online instruction. Few experiments have examined combined types of feedback (teacher feedback or student self-assessment) compared to extra practice with each on student learning. In this study, the experimental effectiveness of four methods of feedback delivery on students' acquisition of behavioral…
Descriptors: Student Evaluation, Self Evaluation (Individuals), Feedback (Response), Skill Development
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Ankit Dhamija; Deepika Dhamija – Journal of Interdisciplinary Studies in Education, 2025
The rapid integration of AI in education has transformed instructional methodologies and administrative tasks. However, higher education teachers face challenges in creating quality assignments amidst increasing administrative burdens. This study investigates the potential of AI, specifically ChatGPT, in streamlining assignment creation. By…
Descriptors: College Faculty, Teacher Attitudes, Computer Attitudes, Artificial Intelligence
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van Heerden, Martina – Innovations in Education and Teaching International, 2021
In order for feedback to effectively facilitate learning and development, it needs to feed-forward from one assignment to the next. Yet, it is not always clear how to determine if feedback is actually feeding forward. This paper, therefore, presents a translation device, using Legitimation Code Theory, and specifically, semantic gravity, to help…
Descriptors: Written Language, Feedback (Response), Translation, Assignments
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Thomas Wanner; Edward Palmer; Daniel Palmer – Teaching in Higher Education, 2024
This paper discusses a two-year study at an Australian university in which 154 undergraduate and 51 postgraduate students reflected on their experiences with flexible and personalised assessment where they could choose assessment tasks, submission dates and weightings of their assignments. Through pre- and post-course surveys and a focus group,…
Descriptors: Foreign Countries, College Students, Student Evaluation, Student Attitudes
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Sara Rinfret; Eric Wise – Journal of Public Affairs Education, 2024
Public administration courses often use the pillars of public administration (e.g., efficiency, effectiveness, equity, economy, accountability, responsiveness) as foundational concepts across our core curriculum. However, our public administration curriculum is alarmingly absent of conversations about emotional labor. Put simply, emotional labor…
Descriptors: Public Administration Education, Psychological Patterns, Emotional Response, Self Management
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Meghan Velez; Zackery Reed; Darryl Chamberlain; Cihan Aydiner – Thresholds in Education, 2025
In fewer than two years, generative artificial intelligence (GenAI) has transformed the educational experience for both students and faculty. Writing feedback and evaluation tools like MyEssayFeedback, EssayGrader, and Markr have been released with the promise that faculty will be able to focus more on teaching than simply grading. However, the…
Descriptors: Writing Across the Curriculum, Artificial Intelligence, Feedback (Response), Scores
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Sull, Errol Craig – Distance Learning, 2023
Labor-based grading: for many instructors in the world of distance learning this is a new concept, yet it is one that is rapidly growing in acceptance and popularity. First introduced in 1993 by English professor Peter Elbow, the premise of labor-based grading is that instructors weigh assignments based on how much labor--how much…
Descriptors: Grading, Distance Education, Evaluation Methods, Scoring Rubrics
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Marwan, Samiha; Akram, Bita; Barnes, Tiffany; Price, Thomas W. – IEEE Transactions on Learning Technologies, 2022
Theories on learning show that formative feedback that is immediate, specific, corrective, and positive is essential to improve novice students' motivation and learning. However, most prior work on programming feedback focuses on highlighting student's mistakes, or detecting failed test cases after they submit a solution. In this article, we…
Descriptors: Feedback (Response), Formative Evaluation, Programming, Coding
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Sathyam Sheoratan; Ineke Henze; Marc J. de Vries; Erik Barendsen – International Journal of Technology and Design Education, 2024
Design activities are gaining interest as rich contexts for learning science, technology, engineering, and mathematics (STEM) subjects. STEM teachers may find this challenging however, as designing requires support that they are not used to providing. In a subject like chemistry, teachers would have to balance creativity and responsibility for the…
Descriptors: Design, Verbal Communication, High School Teachers, Learning Activities
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