To address response style or bias in rating scales, forced-choice items are often used to request that respondents rank their attitudes or preferences among a limited set of options. The rating scales used by raters to render judgments on ratees' performance also contribute to rater bias or errors; consequently, forced-choice items have recently…

This review study synthesises 28 empirical research articles emphasising the learning of morality aspects in the context of addressing socioscientific issues (SSI) in secondary science education. The key interrelated questions we seek to address in this study are how morality is conceptualised in the science classroom in the light of emerging…

The forced-choice (FC) item formats used for noncognitive tests typically develop a set of response options that measure different traits and instruct respondents to make judgments among these options in terms of their preference to control the response biases that are commonly observed in normative tests. Diagnostic classification models (DCMs)…

With the declining number of students interested in pursuing STEM courses such as Bachelor's Degree in Biology as evidenced by low enrollment, HEIs currently offering and those which intend to offer the academic degree program are competing and looking for ways to increase their competitiveness. Hence, several efforts have been made in response to…

Education researchers claim collaboration between school district leaders and principals is one of the key factors in successful school districts. Collaboration creates alignment and coherence throughout the organization. Factors that foster this collaboration are limited throughout education literature. This qualitative study explored factors…

Teachers make many important decisions about instruction during the process of planning. While educational researchers have extensively explored teacher planning, this research has largely neglected the ways teachers attend to subject matter while planning. We first explore ways a sample of 13 experienced secondary biology teachers attend to…

Two of the teachers' knowledge models most widely used in the literature are the Mathematical Knowledge for Teaching (MKT) and the Knowledge Quartet (KQ). We develop an analysis of the limitations of the knowledge required for teaching problem-solving published during 1990-2018 which includes these models. This analysis revealed that MKT takes…

Education researchers frequently have to choose between statistical models for their data, and in many cases the candidate models or parameters can be listed in a sequence, m=1,...,M, from less preferable choices to more. For instance, in choosing a bandwidth for regression discontinuity designs, researchers would favor the largest possible…

The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…

Purpose: This study explores the factors that promote university teachers' switching intention from a traditional classroom to a smart classroom based on the push-pull-mooring (PPM) framework to enrich the theoretical research on the smart classroom and provide a reference for smart classroom promotion. Design/methodology/approach: The proposed…

Forecasting the enrollments of new students in bachelor's systems became an urgent desire in the majority of higher education institutions. It represents an important stage in the process of making strategic decisions for new course's accreditation and optimization of resources. To gain a deep view of the educational forecasting context, the most…

Although an increasing number of ethical data science and AI courses is available, with many focusing specifically on technology and computer ethics, pedagogical approaches employed in these courses rely exclusively on texts rather than on algorithmic development or data analysis. In this paper we recount a recent experience in developing and…

This study examines modelling with machine learning. In the context of a yearlong data science course, the study explores how upper secondary students apply machine learning with Jupyter Notebooks and document the modelling process as a computational essay incorporating the different steps of the CRISP-DM cycle. The students' work is based on a…

In the last two decades, many German states have enforced a partial integration of school types and have transformed their school systems into a two-tier model. The traditional tripartite school model, for which Germany has long been known, is thus no longer a characteristic of their school systems. This article analyses the determinants of the…

'Literacy' and 'science' are power words and the interaction between them is of potential interest to people working at other boundaries between text and content, such as that characterising wider disciplinary literacy. 'Scientific literacy' has a deep enough literature base to support an attempt to build a model of these interactions. If robust,…