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Brandon Kushinski – ProQuest LLC, 2024
Employers indicate their new employees lack the employability skills to be successful in the workplace. These skills are integral to the career and technical education (CTE) curriculum in Ohio. CTE teachers are responsible for grading and assessing student mastery of employability skills. This study examines Ohio CTE teachers' grading and…
Descriptors: Vocational Education, Grading, Evaluation Methods, Vocational Education Teachers
Harnejan K. Atwal; Kenjiro W. Quides – Journal of Microbiology & Biology Education, 2024
Many 4-year public institutions face significant pedagogical challenges due to the high ratio of students to teaching team members. To address the issue, we developed a workflow using the programming language R as a method to rapidly grade multiple-choice questions, adjust for errors, and grade answer-dependent style multiple-choice questions,…
Descriptors: Programming Languages, Public Colleges, Grading, Holistic Evaluation
Brian P. Shaw – Music Educators Journal, 2024
Nearly all music educators assign grades to students. However, not all methods for grading are equally effective at reporting student achievement. This article describes one approach to grading, standards-based grading, that has the potential to support music educators' efforts to achieve grades that are honest, meaningful, and fair. General…
Descriptors: Music Education, Music Teachers, Grading, Student Evaluation
Abdulkadir Kara; Eda Saka Simsek; Serkan Yildirim – Asian Journal of Distance Education, 2024
Evaluation is an essential component of the learning process when discerning learning situations. Assessing natural language responses, like short answers, takes time and effort. Artificial intelligence and natural language processing advancements have led to more studies on automatically grading short answers. In this review, we systematically…
Descriptors: Automation, Natural Language Processing, Artificial Intelligence, Grading
Ulrike Padó; Yunus Eryilmaz; Larissa Kirschner – International Journal of Artificial Intelligence in Education, 2024
Short-Answer Grading (SAG) is a time-consuming task for teachers that automated SAG models have long promised to make easier. However, there are three challenges for their broad-scale adoption: A technical challenge regarding the need for high-quality models, which is exacerbated for languages with fewer resources than English; a usability…
Descriptors: Grading, Automation, Test Format, Computer Assisted Testing
Leila Ouahrani; Djamal Bennouar – International Journal of Artificial Intelligence in Education, 2024
We consider the reference-based approach for Automatic Short Answer Grading (ASAG) that involves scoring a textual constructed student answer comparing to a teacher-provided reference answer. The reference answer does not cover the variety of student answers as it contains only specific examples of correct answers. Considering other language…
Descriptors: Grading, Automation, Answer Keys, Tests
Brenna Curley; Jillian Downey; Katherine M. Kinnaird; Adam Loy; Eric Reyes – Journal of Statistics and Data Science Education, 2024
Nontraditional grading methods have recently become more common, and as with any large pedagogical shift, there are a number of questions to consider when applying a new grading scheme to a course. This article summarizes four types of nontraditional grading and shares experiences from the authors who have applied them to a variety of courses in…
Descriptors: Grading, Statistics Education, Online Courses, Teaching Methods
Natalie Zuzart – ProQuest LLC, 2024
This quantitative study examines the relationships among Scranton City School district students' scores on standards-based report cards and end-of-year TCAP (Tennessee Comprehensive Assessment Plan) mathematics scores. Specifically, relationship levels between teacher-reported levels of mastery by students on five state-directed mathematics…
Descriptors: Grading, Exit Examinations, Standardized Tests, State Standards
Putnikovic, Marko; Jovanovic, Jelena – IEEE Transactions on Learning Technologies, 2023
Automatic grading of short answers is an important task in computer-assisted assessment (CAA). Recently, embeddings, as semantic-rich textual representations, have been increasingly used to represent short answers and predict the grade. Despite the recent trend of applying embeddings in automatic short answer grading (ASAG), there are no…
Descriptors: Automation, Computer Assisted Testing, Grading, Natural Language Processing
Tan, Hongye; Wang, Chong; Duan, Qinglong; Lu, Yu; Zhang, Hu; Li, Ru – Interactive Learning Environments, 2023
Automatic short answer grading (ASAG) is a challenging task that aims to predict a score for a given student response. Previous works on ASAG mainly use nonneural or neural methods. However, the former depends on handcrafted features and is limited by its inflexibility and high cost, and the latter ignores global word cooccurrence in a corpus and…
Descriptors: Automation, Grading, Computer Assisted Testing, Graphs
Cheng, Liying; Baidoo-Anu, David; DeLuca, Christopher – Alberta Journal of Educational Research, 2023
Principals play a key leadership role in school effectiveness and student success; however, one area that has received relatively little attention so far is principals' embedded understanding of assessment and grading within the educational context where they work. We examined 141 Chinese school principals' conceptions of assessment and grading…
Descriptors: Principals, Administrator Attitudes, Evaluation Methods, Grading
Lenarz, Jessie; Pelatt, Kristine Engel – PRIMUS, 2023
Evidence shows that to improve student persistence in mathematics, we must change our course design to encourage students to have a growth mindset. By using standards-based grading, students earn grades based on their actual learning, so they are motivated to persist with difficult topics until they achieve understanding. Mastery-based testing has…
Descriptors: Mastery Tests, Academic Persistence, Mathematics Education, Calculus
Rachel Epstein – International Journal for the Scholarship of Teaching and Learning, 2023
Standards-based grading is an alternative grading system that gives students multiple opportunities to demonstrate proficiency in course standards or objectives. It has the potential to provide flexibility and reduce student anxiety, which are particularly important during difficult times such as the COVID-19 pandemic. In this study, students in a…
Descriptors: COVID-19, Pandemics, Grading, Student Attitudes
Belt, Courtney Rose – ProQuest LLC, 2023
The purpose of this study was to explore how music therapy faculty navigate the evaluation of undergraduate practica students by reviewing various processes of evaluation along with faculty members' self-reported experiences of evaluating practica students. I addressed the research questions through descriptive phenomenological methodology, and…
Descriptors: Music Therapy, College Faculty, Undergraduate Students, Student Evaluation
Wiggins, Alexis – Educational Leadership, 2022
A revision-based assessment system, driven by clear rubrics, can mean less stress, more effective feedback, and greater student learning. English teacher Alexis Wiggins shares an effective and time-friendly revision-based assessment system she developed that allows students to focus on learning, not their grade.
Descriptors: Evaluation Methods, Grading, Feedback (Response), High School Teachers

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