This study aims to conduct a comparative study of Bagging and Boosting algorithms among ensemble methods and to compare the classification performance of TreeNet and Random Forest methods using these algorithms on the data extracted from ABIDE application in education. The main factor in choosing them for analyses is that they are Ensemble methods…

This study examined the efficiency of using the same rating scale categories in measuring affective constructs for students with distinctive levels of achievement. Data used in this study came from the Trends in Mathematics and Science Study (TIMSS) 2011, as a case, on the three scales that were designed to measure eighth graders' attitudes…

The current investigation used latent profile analysis (LPA) to categorise students according to their strategies for managing mathematics homework. A sample of 918 Chinese students in grades 7-9 rated their use of seven homework management strategies; namely, arranging the environment, managing time, monitoring motivation, managing emotion,…

Educational Data Mining (EDM) is an important tool in the field of classification of educational data that helps researchers and education planners analyse and model available educational data for specific needs such as developing educational strategies. Trends International Mathematics and Science Study (TIMSS) which is a notable study in…

The present study illustrates the utility of applying multilevel mixture models in educational research, using data on the homework behavior of 1,812 Swiss eighth-grade students in French as a second language. A previous person-centered study identified 5 homework learning types characterized by different patterns of high or low homework time and…

The term 'Plant Blindness' describes people tending to overlook plants, even though they have an enormous importance for life on earth, especially because of their ability to photosynthesise. Many attempts have been made to counteract plant blindness in biology education. However, so far there is no comprehensive tool to assess the degree of plant…

Providing diagnostic feedback about growth is crucial to formative decisions such as targeted remedial instructions or interventions. This article proposed a longitudinal higher-order diagnostic classification modeling approach for measuring growth. The new modeling approach is able to provide quantitative values of overall and individual growth…

There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum likelihood estimation. However, there is little work on applying these methods to estimate treatment effects in latent classes defined by…

In cognitive diagnosis assessment (CDA), the impact of misspecified item-attribute relations (or "Q-matrix") designed by subject-matter experts has been a great challenge to real-world applications. This study examined parameter estimation of the CDA with the expert-designed Q-matrix and two refined Q-matrices for international…

Prior findings highlight school students' low motivation to study science, while 21st-century education aims to achieve their key competencies: scientific literacy and autonomous problem-solving to be prepared for smooth adaption to quickly changing circumstances. Real-life learning scenarios can meet these shortfalls to engage the learners by the…

This paper explores and compares the language learning strategies of high and low performing second language (L2) learners participating in peer tutoring. The participating learners were grouped into high and low performing learners based on their scores in English second language. The classification of strategies by Griffiths into base, core and…

Purpose: This study aimed to compare the cut scores obtained by the Extended Angoff and Contrasting Groups methods for an achievement test consisting of constructed-response items. Research Methods: This study was based on survey research design. In the collection of data, the study group of the research consisted of eight mathematics teachers for…

The aim of the research is to examine the contribution of applying author-generated dichotomous keys (digital key - DDK and print key - DPK) to the quality and durability of the knowledge of eighth grade students about the "Systematic and classifications of plants (Bryophyta, Pteridophyta, Gymnosperms and Angiosperms)", as compared to…

This paper is based on a multiple case study of schools which have been identified as improving their performance for about a decade. We proposed different criteria by which to characterize and study these improvement processes and, by applying them to our sample, we elaborated a typology of school improvement trajectories: we identified 4…

The aim of this research was to assess the classification of science test items of TIMSS grade 8 based on higher order thinking skills (HOTS) and determine whether those classified-science test items can be an assessment tool in science class. Sixteen sample test items of HOTS were chosen from 37 reasoning items of TIMSS 1999, 2003, and 2011;…