Teachers need to judge students accurately to ensure social justice within classrooms. Currently, many reviews have estimated how accurately teachers overall judge students, but only a few provided clues about how teachers' accuracy could be improved. To provide insight regarding the sources of teachers' (in)accuracy, we review and synthesise lens…

Learning outcomes and assessment frameworks guide educators in curricular decisionmaking, impact assessment, gap identification, and equity evaluation, aligning with anticipated learning objectives. Common frameworks include Bloom's taxonomy, Kirkpatrick's model, Fink's taxonomy, and Moore's Outcomes model. The authors identified a lack of focus…

Econometrics has become increasingly important in Economics and Business degrees, since it appears to be narrowly related to several main skills and competencies as information management, creativity, problem-solving or decision-making. Furthermore, the development of information technologies, including econometric software, makes it possible to…

Fuzzy sets have experienced multiple expansions since their conception to enhance their capacity to convey complex information. Intuitionistic fuzzy sets, image fuzzy sets, q-rung orthopair fuzzy sets, and neutrosophic sets are a few of these extensions. Researchers and academics have acquired a lot of information about their theories and methods…

Effective planning lays the foundations for effective teaching in mathematics (Smith & Stein, 2018). The planning decisions made by teachers are many and varied and ultimately inform what, how and why students learn mathematics (Kilpatrick et al., 2001). Critically, these decisions affect students' opportunities to engage with mathematics in…

Knowledge components (KCs) have many applications. In computing education, knowing the demonstration of specific KCs has been challenging. This paper introduces an entirely data-driven approach for: (1) discovering KCs; and (2) demonstrating KCs, using students' actual code submissions. Our system is based on two expected properties of KCs: (1)…

Learning progressions (LPs) are novel models for the development of assessments in science education, that often use a scale to categorize students' levels of reasoning. Pictorial representations are important in chemistry teaching and learning, and also in LPs, but the differences between pictorial and verbal items in chemistry LPs is unclear. In…

This Research Brief describes a model developed as an alternative method for making ESOL exit decisions in 2019-2020. Given the cancellation of the 2019-2020 Statewide student assessment, FSA ELA results which are used as one of the two major components for making ESOL exit decisions will not be available, and an alternative method is needed. This…

In response to the paradigm shift of feedback from information to process, the notion of 'student feedback literacy', which refers to students' capacities and dispositions to use feedback, has been increasingly promulgated in the higher education assessment literature recently. Student feedback literacy has been conceptualized into three…

Data from multiple school sources, including informant ratings, systematic direct observations (SDOs), and school wide data (e.g., office disciplinary referrals [ODRs]) are routinely used to guide decision making in the delivery of evidence based practices for students with externalizing and internalizing behavior problems. Over 50 years of…

This revision of "Identifying Gifted Students: A Practical Guide" is aligned with both the updated National Association for Gifted Children (NAGC) Pre-K-Grade 12 Gifted Programming Standards and the NAGC and The Association for the Gifted, Council for Exceptional Children (CEC-TAG) professional development standards. This book is…

The emergence of big data in educational contexts has led to new data-driven approaches to support informed decision making and efforts to improve educational effectiveness. Digital traces of student behavior promise more scalable and finer-grained understanding and support of learning processes, which were previously too costly to obtain with…

In recent years, artificial intelligence applications for understanding the human thinking process and transferring it to virtual environments come into prominence. The fuzzy logic which paves the way for modeling human behaviors and expressing even vague concepts mathematically, and is also regarded as an artificial intelligence technique has…

In this mixed-methods study we investigated the development of a generalized ethics decision-making model that can be applied in considering ethical dilemmas related to student assessment. For the study, we developed five scenarios that describe ethical dilemmas associated with student assessment. Survey participants (i.e., educators) completed an…

In this book, best-selling author Susan M. Brookhart helps teachers and administrators understand the critical elements and nuances of assessment data and how that information can best be used to inform improvement efforts in the school or district. Readers will learn: (1) What different kinds of data can--and cannot--tell us about student…