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We present an exploratory study on the use of ontologies for student assessment during a focus group with teachers in student-centred learning environments. The work is framed by a theoretical argument about coherence between instructional values and assessment systems, and how this may be achieved through a "community of judgment" with teachers at the centre. The purpose of the study was to understand the process and perceived usefulness of collaborative ontology development, at a narrative and conceptual level without grades or detailed probabilistic relationships. Findings of two kinds are discussed. First, we identified a set of framework-building moves used by teachers during ontology-based reasoning. Second, we present evidence that participants perceived the ontology development process to be useful and empowering in sharpening their ability to communicate nuanced assessment arguments.

We report on an exploratory effort to design an interest-based learning experience for high school (step) dancers to engage with concepts in mathematics and data science. We hypothesized that generating and analyzing data from their own dance movement, through motion and audio capture, would: (1) enable learners to form analogies between off-line embodied experiences and new abstract concepts; and (2) support motivation to learn due to perceived relevance and usefulness of data science to dance practice. Based on initial interviews to understand the specific needs and interests of the steppers, we developed some early prototypes for visual and acoustic analysis, concentrating on pose precision, tempo, and spectral characteristics (timbre) for. Teacher and student reactions to the tools demonstrated support for our hypotheses that off-line embodied cognition would help with new knowledge acquisition and that the perceived usefulness of data science would motivate learning. Several promising future directions remain to develop an interest-based and embodied data science curriculum.

Purpose: In reflective writing, students are encouraged to examine their own setbacks and progress. With a shortage of guidance in how to provide feedback to students on this type of writing, teachers are often left to figure it out on the job. The central hypothesis in this paper is that the lens of reflective practice can help focus teacher efforts and ultimately improve both feedback and instruction. The purpose of this paper is not to produce a universal prescription for assessing reflective writing but rather a protocol for teacher reflective practice that can apply to challenging grading and feedback-giving situations. Design/methodology/approach: Student assessment is a chance for teachers to learn about their students' abilities and challenges and to provide feedback for improvement. Assessment and grading sessions can also become opportunities for teachers to examine their own instructional and assessment practices. This self-examination process, a cornerstone of reflective practice (Schön, 1984), is challenging, but it may be especially valuable when guidelines for feedback and assessment are hard to come by. Such may be said to be the case in student-centered learning environments such as school Fablabs and makerspaces, where stated goals commonly include cultivating learner self-regulation and resilience. These hard-to-measure constructs are typically assessed through analysis of student reflective journals. This in-depth case study uses mixed-methods to examine how a semester-long intervention affected the grading, feedback and instructional practices of a teacher in a hands-on design classroom. The intervention involved 10 grade-aloud sessions using a computer-based rubric tool (Gradescope) and a culminating card-sorting task. The lens of reflective practice was applied to understanding the teacher's development of their own reflective capabilities. Findings: During the intervention, the participating teacher grappled with grading and feedback-giving dilemmas which led to clarifications of assessment objectives; changes to instruction; and improved feedback-giving practices, many of which persisted after the intervention. The teacher perceived the intervention as adding both rigor and productive "soul-searching" to their professional practice. Lasting changes in feedback behaviors included a comprehensive rubric and an increase in the frequency, specificity and depth of feedback given to student written work. Originality/value: Significant prior efforts have been directed separately at the use of reflective practice for teachers, in general, and on the feedback and grading of student process journals. This work combines these lines of inquiry in the reflective classroom assessment protocol, a novel on-the-job professional development opportunity that fosters reflective practice in times of assessment to improve instructional and feedback practices.

We present an exploratory study on the use of ontologies for student assessment during a focus group with teachers in student-centred learning environments. The work is framed by a theoretical argument about coherence between instructional values and assessment systems, and how this may be achieved through a "community of judgment" with teachers at the centre. The purpose of the study was to understand the process and perceived usefulness of collaborative ontology development, at a narrative and conceptual level without grades or detailed probabilistic relationships. Findings of two kinds are discussed. First, we identified a set of framework-building moves used by teachers during ontology-based reasoning. Second, we present evidence that participants perceived the ontology development process to be useful and empowering in sharpening their ability to communicate nuanced assessment arguments. [ABSTRACT FROM AUTHOR]

B Introduction: b Continuous monitoring is an essential part of critical care and specifically for telemedicine based critical care coverage (Tele-ICU). The aim of the present work was to compare the alarm burden resulting from critical alerts generated by usual Tele-ICU care monitors and our AI based algorithms. Performance of the AI based algorithm alerts (AIA) in predicting significant respiratory and hemodynamic deterioration was compared to that of usual Tele-ICU care alerts (UCA). [Extracted from the article]