Evaluation of music performance in competitive contexts often produces discrepancies between the expert judges. These discrepancies can be reduced by using appropriate rubrics that minimise the differences between judges. The objective of this study was the design and validation of an analytical evaluation rubric, which would allow the most…

First Year Seminars have been found to positively impact student experience and retention in universities, especially in large-outcome measures such as grade point average, retention rates, and ultimately, graduation rates. Common learning experiences, a high-impact practice, such as course readings, a syllabus template, and discussion topics help…

We present lessons learned from an ongoing attempt to conceptualize, develop, and refine a way for teachers to gather formative assessment evidence about classroom argumentation as it happens. The system--named DiALoG (Diagnosing Argumentation Levels of Groups)--includes a digital scoring tool that allows teachers to assess oral classroom…

In the research reported here, we propose a new method for scale alignment and test scoring in the context of supporting students with disabilities. In educational assessment, students from these special populations take modified tests because of a demonstrated disability that requires more assistance than standard testing accommodation. Updated…

Worldwide, educational policies increasingly focus on students' intercultural competency development (ICD). But educational institutions struggle with its implementation due to difficulties concerning 1) explicating educational goals for ICD and 2) developing teaching, learning and assessment activities that foster this development. The paper…

This paper uses evidence-centered assessment design (ECD) to structure and analyze a laboratory activity where students collect and represent titration curve data to determine acid strength in terms of molarity and dissociation constant. Following principles of multidimensional learning, the activity prompts students to demonstrate knowledge of…

We report on a systematic review of the landscape of peer assessment in massive open online courses (MOOCs) with papers from 2014 to 2020 in 20 leading education technology publication venues across four databases containing education technology-related papers, addressing three research issues: the evolution of peer assessment in MOOCs during the…

This study provides a partial-credit scoring (PCS) approach to awarding students' performance on multiple-choice items in science education. The approach is built on "fundamental ideas," the critical pieces of students' understanding and knowledge to solve science problems. We link each option of the items to several specific fundamental…

Assessment is a key driver for engagement and a widely criticised aspect of the tertiary student experience. In regard to assessment, in particular, feedback, rubrics and peer review have been major focuses for researchers in recent years. This research utilised an innovative peer review process in a triad structure to evaluate and improve…

An automated essay scoring (AES) program is a software system that uses techniques from corpus and computational linguistics and machine learning to grade essays. In this study, we aimed to describe and evaluate particular language features of Coh-Metrix for a novel AES program that would score junior and senior high school students' essays from…

Despite the breadth of integrated writing assessment research, few studies have examined student perceptions of classroom-based integrated writing tasks or the instructional value of analytic rubrics. Adopting a case study methodology, this exploratory research investigated L2 learners' conceptualizations of integrated writing assessment and their…

The need for data literacy is an increasingly pressing priority in society, but most of the work in data-centred education has focused on developing skills at the middle school, secondary, and post-secondary levels, with little attention on the potential for engaging elementary-aged students in reasoning with and about data. This paper reports…

This study was conducted to explore US elementary teachers' perceptions of their experiences using rubrics as a tool for student self-assessment and metacognition (assessment for learning) to improve elementary students' achievement and their instructional decision-making at a private American elementary school in South Florida. The constructivist…

This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…

Initiating effective feedback processes is a major goal in university teaching. However, systematic investigations of structural feedback elements making instructor feedback economic, concise, motivating and beneficial for learning are still scarce. In our study, we compare two feedback modes with respect to learning gains and changes in…