The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…

Writing in a language different from one's mother tongue is a daunting task. The same challenge may apply to languages that have diglossic features whose spoken form differs from the written form. This article investigates Arab students' writing behaviors (fluency, pauses, and revision) in response to an argumentative composition in their L1…

Cyberinfrastructure (CI) empowers the foundational computation resources underlying data analytics, spatial modeling, and many other domains serving the growing knowledge economy in the United States. In every part of these interactions with CI, questions of how to seamlessly integrate CI training into educational programs exist. In this article,…

This article presents the design and implementation of a study and research path for teacher education (SRP-TE) based on the Anthropological Theory of the Didactic. The goal is to analyze this teacher education proposal for inclusive statistics education aiming to overcome constraints derived from the phenomenon of the transparency of data…

The article explores the importance of early reading proficiency and its long-term impact on academic and life outcomes, particularly in Romania. Analyzing PISA data, the article highlights significant literacy gaps between advantaged and disadvantaged students, as well as urban and rural learners. These disparities perpetuate intergenerational…

Educators in higher education institutes often use statistical results obtained from their online Learning Management System (LMS) dataset, which has limitations, to evaluate student academic performance. This study differs from the current body of literature by including an additional dataset that advances the knowledge about factors affecting…

Researchers in many disciplines work with ranking data. This data type is unique in that it is often deterministic in nature (the ranks of items "k"-1 determine the rank of item "k"), and the difference in a pair of rank scores separated by "k" units is equivalent regardless of the actual values of the two ranks in…

The study consisted of three articles. Article one aimed to determine if there were any significant difference in science graduate students' (SGSs') conceptions of the "consensus tenets" of the nature of science (NOS) with respect to demographic factors -- the SGSs' academic and research characteristics. The participants were SGSs from…

An online peer-assessment system typically allows students to give textual feedback to their peers, with the goal of helping the peers improve their work. The amount of help that students receive is highly dependent on the quality of the reviews. Previous studies have investigated using machine learning to detect characteristics of reviews (e.g.,…

Recommender systems in educational contexts have proven effective to identify learning resources that fit the interests and needs of learners. Their usage has been of special interest in online self-learning scenarios to increase student retention and improve the learning experience. In current recommendation techniques, and in particular, in…

Social network analysis (SNA) consists of a broad set of frameworks and methods to assess how direct and indirect relationships influence individual functioning. Although interest in SNA has steadily increased in the psychological sciences, school psychology has not kept pace. This article provides a general overview of core SNA concepts,…

This paper presents a financial statements analysis (FSA) project that integrates Bloomberg and Thomson Reuters in an introductory MBA accounting course. The project introduces students to leading financial databases that are used in practice and helps them to understand how such databases can be effectively leveraged to analyze both the financial…

Data science surrounds us in contexts as diverse as climate change, air pollution, route-finding, genomics, market manipulation, and movie recommendations. To open the "data-science-black-box" for lower secondary school students, we developed a data science teaching unit focusing on the analysis of environmental data, which we embedded…

For students who show inadequate response to research-based intervention, intensification of intervention using data-based decision making (DBDM) is recommended. There is a paucity of research on upper elementary students related to the efficacy of (a) word reading interventions and (b) DBDM procedures. This randomized controlled trial examined…

This brief provides considerations for conducting and implementing functional behavior assessments (FBA) and behavior intervention plans (BIPs) using virtual technology. There are many situations in which virtual FBA/BIP implementation may be necessary or desired. For example, virtual FBA/BIPs can support students attending schools in areas that…