Classical conceptualisations of self-regulated learning typically ignore the role of teaching strategies in real-world classrooms. Therefore, the present exploratory study aimed to examine the different clusters of perceived teaching strategies and students' metacognitive knowledge and experiences, and motivation. The data came from 6365 (49.63%…

This study investigates the effects of Processing Instruction (PI) on the acquisition of grammatical gender and gender-marked pronouns in German. PI was compared to Traditional Instruction, i.e. a traditional, vocabulary-oriented approach using color cues (TI) and a Categorization and Memorization task (CM). The results of an immediate posttest…

This paper presents the adaptation of the POMAS classification of spelling errors (Silliman et al., Developmental Neuropsychology 29:93-123, 2006, Bahr et al., Journal of Speech, Language & Hearing Research 55:1587-1599, 2012; International Journal of Bilingual Education and Bilingualism 18:73-91, 2015) to Polish orthography. We identified the…

This paper introduces an approach that uses latent class analysis to identify cut scores (LCA-CS) and categorize respondents based on context scales derived from largescale assessments like PIRLS, TIMSS, and NAEP. Context scales use Likert scale items to measure latent constructs of interest and classify respondents into meaningful ordered…

The article provides a global comparison of IB World Schools in the lusophone space, including countries in three different world regions, in response to a lack of research on international education in Portuguese-speaking countries. Following an introduction to the literature on this topic, focusing on a widely known typology of international…

This corpus-based study investigates lexical bundles of keywords found in online news articles, aiming to equip high school students in Thailand with the linguistic tools necessary for English admission exams. The primary objectives of this investigation are twofold: (1) to compile a list of 100 essential exam preparation keywords from the…

Most of the indicators for STEM programs in higher education such as the number of programs and students enrolled depend on what is considered as a STEM program. Currently, each country develops its own STEM indicators, without establishing comparable criteria across countries for the selection of the programs considered STEM, which make it…

With the emergence of technology, the personalization of e-learning systems is enhanced. These systems use a set of parameters for personalizing courses. However, in literature, these parameters are not based on classification and optimization algorithms to implement them in the cloud. Cloud computing is a new model of computing where standard and…

In this reflective paper, we review the currently-used word classification system proposed by linguist Paul Nation (2013, 2015) and the position of the academic vocabulary in this system. Different lexical layers in this system are explained as well as the underlying assumptions. Then, taking a critical position, we raise a number of criticisms…

Past research has shown that schooling has a significant impact on individuals' categorical abilities; however, little is known about the effect of preschool attendance on these abilities. The purpose of this study was to explore the impact of preschool education on Turkish children's categorical preferences and categorical achievement. In the…

In this study, we investigated how students organized their knowledge about organic chemistry reactions in a transformed curriculum, including their choices, abilities, and changes over time. This transformed curriculum focuses on interpreting the underlying mechanistic patterns of chemical reactions and emphasizes the principles of reactivity in…

This study uses the log data from Moodle learning management system for predicting student learning performance in the first third of a semester. Since the quality of the data has great influence on the accuracy of machine learning, five major data transmission methods are used to enhance data quality of log file in the data preprocessing stage.…

Single-case design (SCD) is a research methodology that may be utilized to establish the presence of a functional relation between an independent and dependent variable. Recent research has found the design to frequently be used within school psychology in the evaluation of intervention procedures. However, the overall prevalence of the design…

Regression Tree Method is not yet a mainstream method in Education, despite of being a traditional approach in Machine Learning. We advocate that this method should become mainstream in Education, since, in our point of view, it is the most suitable method to analyse complex datasets, very common in Education. This is, for example, the case of…

The authors of this article examine trends in the economics discipline regarding the classification of some undergraduate economics majors, i.e., econometrics and quantitative economics degrees, as STEM. According to the Integrated Postsecondary Education Data System (IPEDS), the number of institutions conferring undergraduate econometrics and…