Programming demands a variety of cognitive skills, and mastering these competencies is essential for success in computer science education. The importance of formative feedback is well acknowledged in programming education, and thus, a diverse range of techniques has been proposed to generate and enhance formative feedback for programming…

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…

This study aimed to examine the predictive validity of junior high students' grit (including perseverance of effort (PE) and consistency of interest (CI)) on their short-term and long-term academic achievements using a longitudinal survey design under the structural equation modeling framework. Data were collected on 236 junior high students…

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…

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,…

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…

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…

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…

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…

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…

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…

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…

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…

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…

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…