Intersection of education and deep learning method of artificial intelligence (AI) is gradually becoming a hot research field. Education will be profoundly transformed by AI. The purpose of this review is to help education practitioners understand the research frontiers and directions of AI applications in education. This paper reviews the…

The advent of artificial intelligence (AI), particularly large language models (LLMs) like ChatGPT and Gemini, has significantly impacted the educational landscape, offering unique opportunities for learning and assessment. In the realm of written assessment grading, traditionally viewed as a laborious and subjective process, this study sought to…

Rubrics play a crucial role in shaping educational assessment, providing clear criteria for both teaching and learning. The advent of online rubric platforms has the potential to significantly enhance the effectiveness of rubrics in educational contexts, offering innovative features for assessment and feedback through the creation of erubrics.…

Reflective Learning Journals are used to engage students in the learning process. To motivate students to complete the Reflective Learning Journal it is common practice to allocate marks and it is in this area that problems arise. To address the problems rubrics have been used however, most rubrics are based on assigning marks to very…

In theory, rubrics are useful because they inform students of their level of achievement, providing detailed descriptions of a range of evaluation criteria. Teachers know it's best practice to continually update and tweak their rubrics in response to student performance and feedback. But the question remains: do students actually use these…

We systematically compared two coding approaches to generate training datasets for machine learning (ML): (1) a holistic approach based on learning progression levels; and (2) a dichotomous, analytic approach of multiple concepts in student reasoning, deconstructed from holistic rubrics. We evaluated four constructed response assessment items for…

Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…

The purpose of this qualitative content analysis study is to investigate the themes and potential gaps in quality assurance rubrics and scorecards used to evaluate online courses in higher education. For the utility of this study, the themes and potential gaps in quality assurance rubrics and scorecards is generally defined as the recurring…

The biggest difference in statistical training from previous decades is the increased use of software. However, little research examines how software impacts learning statistics. Assessing the value of software to statistical learning demands appropriate, valid, and reliable measures. The present study expands the arsenal of tools by reporting on…

Following the switch to remote online teaching in the wake of the COVID-19 pandemic, the plant taxonomy course at the University of Georgia (UGA) switched to iNaturalist for the specimen collection portion of the course requirements. Building off extant rubrics, the instructors designed project guidelines for a fully online plant collection…

Multidimensional scoring evaluates each constructed-response answer from more than one rating dimension and/or trait such as lexicon, organization, and supporting ideas instead of only one holistic score, to help students distinguish between various dimensions of writing quality. In this work, we present a bilevel learning model for combining two…

The study aims to discuss of the implementation process for writing to learn activities. The document review method has been used in the research containing qualitative data. Data were obtained from scientific articles, books, and presentations containing information about the general characteristics of process-oriented writing and writing to…

This paper reports on the development of six student teachers' knowledge of instructional strategies (KOIS) for teaching proportions during a 2-month practicum in China. Development of four subcomponents was explored through Content Representation (CoRe) questionnaires and follow-up interviews. Data was analysed deductively and levels of each…

Mass balance (MB) reasoning offers a rich topic for examination of students' scientific thinking and skills, as it requires students to account for multiple inputs and outputs within a system and apply covariational reasoning. Using previously validated constructed response prompts for MB, we examined 1,920 student-constructed responses (CRs)…

The objective in the current paper is to examine the processes of how our research team negotiated meaning using an iterative design approach as we established, developed, and refined a rubric to capture comprehension processes and strategies evident in students' verbal protocols. The overarching project comprises multiple data sets, multiple…