A design-based research study on the development of one-page tools to support systemic thinking in public managers is presented. Study participants included public managers of social and human service agencies within government or nonprofit organizations, as learners for whom the tools were designed; and instructional design professionals,…

This case study examines the critical role school leaders play in teacher data use. Aligned with previous literature, we find that educators perceive high levels of support for data use and prefer formative data; however, observations showed a data use method unlike previously described inquiry cycles. From these findings we propose a new data use…

There have been several attempts to conceptualize and operationalize pedagogical content knowledge (PCK) in the context of teachers' professional competencies. A recent and popular model is the Refined Consensus Model (RCM), which proposes a framework of dispositional competencies (personal PCK--pPCK) that influence more action-related…

E-Learning has become a global phenomenon. It makes learning more accessible and acquisition of new skills and knowledge easier. In sub-Saharan Africa, however, online qualifications are often the subject of controversy regarding their recognition. This is clear evidence of unsuitable e-Learning systems, as well as the limited relevance of the…

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…

In the evolving techno-educational landscape, it is crucial to reimagine transformative pedagogies based on techno-teacher collaboration to revolutionize teaching effectiveness and efficiency. Although the cutting-edge generative AI tool, Chat GPT, is speculated to be a revolutionary CALL (computer-assisted language learning) tool for teaching…

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…

The purpose of this study was to develop predictive models of student test-taking engagement in computerized formative assessments. Using different machine learning algorithms, the models utilize student data with item responses and response time to detect aberrant test behaviors such as rapid guessing. The dataset consisted of 7,602 students…

This open access book examines the facilitation of pre-service and in-service educators' research thinking that equips them to be responsive to the unfolding uncertainties of the 21st century, and to likewise prepare their own students. It addresses several key areas, including: articulating the contemporary need for research thinking across…