Among the various systems taught in the preclinical phases, the nervous system is more challenging to learn than other systems. In this report, a novel teaching methodology, "real-life scenario (RLS) blended teaching," is described and its effectiveness in facilitating inquisitive learning in undergraduate medical students is evaluated.…

Background: Multiple-choice item (MCI) assessments are burdensome for instructors to develop. Artificial intelligence (AI, e.g., ChatGPT) can streamline the process without sacrificing quality. The quality of AI-generated MCIs and human experts is comparable. However, whether the quality of AI-generated MCIs is equally good across various domain-…

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…

Timely diagnostic feedback is helpful for students and teachers, enabling them to adjust their learning and teaching plans according to a current diagnosis. Motivated by the practical concern that the simultaneity estimation strategy currently adopted by longitudinal learning diagnosis models does not provide timely diagnostic feedback, this study…

As intelligent textbooks become more ubiquitous in classrooms and educational settings, the need arises to automatically provide formative feedback to written responses provided by students in response to readings. This study develops models to automatically provide feedback to student summaries written at the end of intelligent textbook sections.…

To be able to support students' competence development in solving physics problems over the course of a lesson series effectively, teachers need a proper appreciation of students' deficiencies. As teachers commonly assess students' competence by means of written tests, teachers are challenged to interpret students' work on these tests and to…

Developing assessment and feedback strategies to assist students with progression and graduation is a key focus for many higher education institutions. However, student engagement with feedback is often poor and they can find it difficult to act upon; often stating the feedback is generic or of insufficient quality for improvement. Here, I present…

This study proposed a three-step writing conference in which foreign/second language (L2) students, under the guidance of their writing instructor, first fastened their attentional focus on a form-related error, analysed a collection of standard L2 samples to deduce the underlying knowledge, and then planned for their error correction as well as…

Errors in mathematics are common hurdles for teachers and students; therefore, it is important to learn what errors students make and how students treat them. This study initially identified the types of errors students made while working with algebraic expressions and documented and analyzed the process of students completing an error analysis…

The authors are investigating potential applications of adaptive comparative judgment (ACJ) across numerous environments and learning scenarios within the Purdue Polytechnic Institute as part of Purdue's efforts to transform the undergraduate learning experience. Six courses or program areas were selected for the study, involving a wide variation…

Considering the challenges associated with the teaching of engineering design, and recognising potential differences in design values of individuals from various backgrounds, this study investigated the utility of "adaptive comparative judgment" (ACJ) as a method for informing the teaching and practice of engineering design. The authors…

This three-article dissertation explores Learning by Evaluating (LbE), an educational approach that enhances student learning through the process of assessing and providing feedback on peer work. Leveraging principles of comparative judgement, students evaluate pairs of exemplars side-by-side to determine which is better and provide a rational for…

This quasi-experimental research investigates the employment of a formative assessment platform aided by artificial intelligence in an English public speaking course. The platform integrates deep learning, automatic speech recognition, and automatic writing evaluation. It provides automated assessment and immediate feedback on speakers' public…

Classroom-based language assessments mainly include formative assessment and summative assessment, which are the most commonly used evaluation methods. The present study adopts a contrastive method to analyze the two types of assessments. Results of the study show that: 1) the characteristics of formative assessment contain teachers' adaptation to…

Learners in the process of developing complex skills need a rich mental model of what such skills entail. Textual analytics rubrics (TR) are a widely used instrument to support formative assessment of complex skills, supporting feedback, reflection, and thus mental model development of complex skills. However, the textual nature of a rubric limits…