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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
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
Malik, Ali; Wu, Mike; Vasavada, Vrinda; Song, Jinpeng; Coots, Madison; Mitchell, John; Goodman, Noah; Piech, Chris – International Educational Data Mining Society, 2021
Access to high-quality education at scale is limited by the difficulty of providing student feedback on open-ended assignments in structured domains like programming, graphics, and short response questions. This problem has proven to be exceptionally difficult: for humans, it requires large amounts of manual work, and for computers, until…
Descriptors: Grading, Accuracy, Computer Assisted Testing, Automation
Ramon Lawrence; Sarah Foss; Tatiana Urazova – ACM Transactions on Computing Education, 2023
Objectives: Automatic assessment systems are widely used to provide rapid feedback for students and reduce grading time. Despite the benefits of increased efficiency and improved pedagogical outcomes, an ongoing challenge is mitigating poor student behaviors when interacting with automatic assessment systems including numerous submissions,…
Descriptors: Student Behavior, Evaluation Methods, Technology Uses in Education, Educational Technology
Hao, Qiang; Smith, David H., IV; Ding, Lu; Ko, Amy; Ottaway, Camille; Wilson, Jack; Arakawa, Kai H.; Turcan, Alistair; Poehlman, Timothy; Greer, Tyler – Computer Science Education, 2022
Background and Context: automated feedback for programming assignments has great potential in promoting just-in-time learning, but there has been little work investigating the design of feedback in this context. Objective: to investigate the impacts of different designs of automated feedback on student learning at a fine-grained level, and how…
Descriptors: Computer Science Education, Feedback (Response), Teaching Methods, Comparative Analysis
Evan E. Maicus – ProQuest LLC, 2021
As Computer Science course enrollments have increased over recent years, instructors have turned to automated grading systems to help relieve the burden of processing student assignments. However, the available autograding solutions have generally lacked support for traditionally difficult-to-grade advanced topics courses. In this thesis, I…
Descriptors: Computer Assisted Testing, Automation, Grading, Advanced Courses
Sarah Rutherford – International Journal of Designs for Learning, 2020
This design case documents the motivations, decisions, and results of an experimental course that involved students in the curriculum development process through the use of design thinking methodology. Primary points of student input were determining assignment topics, developing learning objectives, and contributing to the design of grading…
Descriptors: Student Participation, Curriculum Development, Curriculum Design, College Students
Haldeman, Georgiana; Babes-Vroman Monica; Tjang, Andrew; Nguyen, Thu D. – ACM Transactions on Computing Education, 2021
Autograding systems are being increasingly deployed to meet the challenges of teaching programming at scale. Studies show that formative feedback can greatly help novices learn programming. This work extends an autograder, enabling it to provide formative feedback on programming assignment submissions. Our methodology starts with the design of a…
Descriptors: Student Evaluation, Feedback (Response), Grading, Automation
To, Jessica; Panadero, Ernesto; Carless, David – Assessment & Evaluation in Higher Education, 2022
The analysis of exemplars of different quality is a potentially powerful tool in enabling students to understand assessment expectations and appreciate academic standards. Through a systematic review methodology, this paper synthesises exemplar-based research designs, exemplar implementation and the educational effects of exemplars. The review of…
Descriptors: Research Design, Scoring Rubrics, Peer Evaluation, Self Evaluation (Individuals)
Kat O'Meara – Journal of Response to Writing, 2022
Alternative approaches to assessment in education (many of which are linked to inclusive and antiracist pedagogies) are gaining in popularity across the board, from PK--12 to higher education (Esquivel, 2021; St. Amour, 2020). One such antiracist assessment strategy is using labor-based grading contracts (LBGCs), popularized by Inoue (2019; see…
Descriptors: Writing Evaluation, Grading, Alternative Assessment, Racism
Vittorini, Pierpaolo; Menini, Stefano; Tonelli, Sara – International Journal of Artificial Intelligence in Education, 2021
Massive open online courses (MOOCs) provide hundreds of students with teaching materials, assessment tools, and collaborative instruments. The assessment activity, in particular, is demanding in terms of both time and effort; thus, the use of artificial intelligence can be useful to address and reduce the time and effort required. This paper…
Descriptors: Artificial Intelligence, Formative Evaluation, Summative Evaluation, Data
Sawyer, Chris R.; Richey, Delwin E.; Goen, Karley A. – Communication Education, 2019
Previous studies of grading as instructional feedback reveal contrary patterns of motivation among public speaking students. That is, in some cases students who received lower grades on their initial speech assignments made substantial improvements on their subsequent speeches. In other studies, scholars have reported the exact opposite finding.…
Descriptors: Feedback (Response), Public Speaking, Communication Skills, Speeches
Johnson, William F.; Stellmack, Mark A.; Barthel, Abigail L. – Teaching of Psychology, 2019
Electronic feedback given via word-processing software (e.g., track changes in Microsoft Word) allows for a simple way to provide feedback to students during the drafting process. Research has mostly focused on student attitudes toward electronic feedback, with little investigation of how feedback format might affect the quality of instructor…
Descriptors: Feedback (Response), Writing Evaluation, Writing Assignments, Educational Technology
Mittal, Sarah – Marketing Education Review, 2019
This innovation proposes an alternative to the traditional exam/test model. Many faculty members have likely struggled with the need to objectively assess their students and the push back they get from students in administering such assessments. The current article outlines a win-win solution that allows professors to objectively assess student…
Descriptors: Tests, Grading, Educational Innovation, College Faculty
Jackson, Mallory A.; Tran, Alina; Wenderoth, Mary Pat; Doherty, Jennifer H. – CBE - Life Sciences Education, 2018
Practice exams are a type of deliberate practice that have been shown to improve student course performance. Deliberate practice differs from other types of practice, because it is targeted, mentally challenging, can be repeated, and requires feedback. Providing frequent instructor feedback to students, particularly in large classes, can be…
Descriptors: Feedback (Response), Scoring Rubrics, Peer Evaluation, Self Evaluation (Individuals)