Formative assessment is a crucial aspect of teaching and learning in the classroom, but there is evidence that there has been a lack of effective implementation of formative assessment in practice. In response, this article outlines the design and development of a formative assessment framework that can be implemented as a consistent whole-school…

Assessment and learning analytics both collect, analyse and use student data, albeit different types of data and to some extent, for various purposes. Based on the data collected and analysed, learning analytics allow for decisions to be made not only with regard to evaluating progress in achieving learning outcomes but also evaluative judgments…

Purpose: The purpose of this paper is to focus on assessing individuals' problems in learning groups/teams and should lead to the assessment of the group/team itself as a learning entity. Design/methodology/approach: In this paper, an extension of the IMS-Learning Design (IMS-LD) meta-model is proposed in order to support the assessment of…

This paper contains results of an empirical study that tested the efficacy and acceptability of two templates designed to fully involve students in proper and fair peer-assessments of their group project work (GPW) by providing concrete evidence of independent progressive documentation of their peers' contributions to the work-process and…

In this commentary, the author addresses what is referred to as the deterministic input, noisy "and" gate (DINA) model. The author mentions concerns with how this model has been formulated and presented. In particular, the author points out that there is a lack of recognition of the confounding of profiles that generally arises and then discusses…

Rupp and Templin (2008) do a good job at describing the ever expanding landscape of Diagnostic Classification Models (DCM). In many ways, their review article clearly points to some of the questions that need to be answered before DCMs can become part of the psychometric practitioners toolkit. Apart from the issues mentioned in this article that…

In this commentary, the authors discuss some of the issues regarding the use of diagnostic classification models that practitioners should keep in mind. In the authors experience, these issues are not as well known as they should be. The authors then provide recommendations on diagnostic scoring.

Extensive education research on the contribution of teachers to student achievement produces two generally accepted results. First, teacher quality varies substantially as measured by the value added to student achievement or future academic attainment or earnings. Second, variables often used to determine entry into the profession and…

On a general level, the objective of diagnostic classifications models (DCMs) lies in a classification of individuals regarding multiple latent skills. In this article, the authors show that this objective can be achieved by multidimensional adaptive testing (MAT) as well. The authors discuss whether or not the restricted applicability of DCMs can…

Mounting pressure in the policy arena to improve teacher productivity either by improving signals that predict teacher performance or through creating incentive contracts based on performance--has spurred two related questions: Are there important determinants of teacher productivity that are not captured by teacher credentials but that can be…

In this article, the author discusses the new role assessment is playing in the higher education (HE) arena. Highlighted are the feelings of higher education faculty who observe the lack of preparation of students entering HE, and the fact that in introductory courses they are often teaching the skills--writing, critical thinking, basic…

Uses data from a national survey and from the 1998 National Communication Association Summer Conference to examine how achievement is measured among public-relations students. Finds that few academic programs assess learning outcomes and used the results to enhance their students' educational experiences. Suggests that educators place too much…

Value-added models in education research allow researchers to explore how a wide variety of policies and measured school inputs affect the academic performance of students. Researchers typically quantify the impacts of such interventions in terms of "effect sizes", i.e., the estimated effect of a one standard deviation change in the…

Cognitive and language measures were administered to 37 preschoolers with language delay to investigate the agreement of the profiles in determining eligibility for language intervention services. Results found a sizable variation in categorization outcomes for the various intelligence quotient/language quotient profiles. The validity of the…

Reviews medical and psychoeducational assessment models, illustrating need to expand assessment procedure database resulting from the measurement errors in traditional assessment practices. Introduces assessment model emphasizing collection of classroom-based information over time and evaluating data more critically. Suggests model facilitates…