Contribution: An AI model for speech emotion recognition (SER) in the educational domain to analyze the correlation between students' emotions, discussed topics in teams, and academic performance. Background: Research suggests that positive emotions are associated with better academic performance. On the other hand, negative emotions have a…

We developed a six-step iterative process for developing and evaluating a model of implementation fidelity appropriate for use in an instructionally embedded assessment system. Our work explicitly connects the literature on theories of actions for assessment systems with the implementation fidelity literature originating from the program…

Causal-formative indicators are often used in social science research. To achieve identification in causal-formative indicator modeling, constraints need to be applied. A conventional method is to constrain the weight of a formative indicator to be 1. The selection of which indicator to have the fixed weight, however, may influence statistical…

As universities around the world have begun to use learning management systems (LMSs), more learning data have become available to gain deeper insights into students' learning processes and make data-driven decisions to improve student learning. With the availability of rich data extracted from the LMS, researchers have turned much of their…

[This paper is part of the Focused Collection on Instructional labs: Improving traditions and new directions.] In recent years, physics instructional labs have been under considerable research and development. However, there seems to be no shared understanding of how the assessment of instructional labs should be arranged to best serve students'…

Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or nonproficiency of specified latent characteristics. These models are well suited for providing diagnostic and actionable feedback to support intermediate and formative assessment efforts. Several DCMs have been developed…

Diagnostic classification models (DCMs) are psychometric models designed to classify examinees according to their proficiency or nonproficiency of specified latent characteristics. These models are well suited for providing diagnostic and actionable feedback to support intermediate and formative assessment efforts. Several DCMs have been developed…

Evaluative criteria define a "high quality" or "successful" evaluand and provide the basis for judgment of merit and worth, yet they are often assumed and implicit in the evaluation process. This article presents an empirically supported model that describes and integrates two aspects of criteria: domain and source. Domain…

Peer observation of teaching (PoT) is a recognized evaluation tool. However, faculty concerns persist regarding bias, beneficial feedback, and lack of peer observer training. While faculty desire to provide quality and equitable reviews, many higher education faculty peers have little expertise in conducting observations and evaluations. This…

Feedback can improve or impair students' learning performance, depending on its timing and constructiveness. Given the diversity of students' study goals and overall performance in the assessment tasks within most classes, a group of students can experience a deteriorated performance from delayed corrective feedback, and another group can suffer…

Preservice teachers undertake mandatory professional experience as part of their journey towards classroom readiness and inservice teaching. Supporting them in this process are supervisors who both guide and assess these novices. Central to this assessment are the Australian Professional Standards for Teachers, which need to be rigorously applied…

Although scholars have proposed many types of self-assessment methods. There are still many teachers in China who consider that student self-assessment is "difficult to implement". This paper aims to optimize the assessment of MOOC learning, and to establish an integrated student self-assessment paradigm with "student-centered,…

In the post-pandemic world, UNESCO advocates the development of open educational resources (OER) to remedy the financial pressures of students and their families. We thus conducted a dual-cycle action research study aiming to develop a sustainable model with minimal cost for creating OER for secondary school mathematics teachers and students. Our…

Despite the importance of feedback uptake in higher education, there is still much to be learned about supporting it. Recent perspectives hold that guiding learners through feedback uptake-oriented activities may also help them to develop feedback literacy. However, due to the acceleration of digitisation trends in higher education, there is an…

The methods in which self-assessment are facilitated have not been significantly addressed within the literature. Self-assessment is also fraught with concerns around reliability and validity. As a result, a systematic 3-stage plan was developed to embed self-assessment into a module design. The planning, formative and summative (PFS) model of…