Learning style recognition is an indispensable part of achieving personalized learning in online learning systems. The traditional inventory method for learning style identification faces the limitations such as subject and static characteristics. Therefore, an automatic and reliable learning style recognition mechanism is designed in this…

Conflicts play an important role to improve group learning effectiveness; they can be decreased, increased, or ignored. Given the sequence of messages of a collaborative group, we are interested in recognizing conflicts (detecting whether a conflict exists or not). This is not an easy task because of different types of natural language…

Monitoring students' academic progress is vital for ensuring timely completion of their studies and supporting at-risk students. Educational Data Mining (EDM) utilizes machine learning and feature selection to gain insights into student performance. However, many feature selection algorithms lack performance forecasting systems, limiting their…

Test takers wishing to gain an unfair advantage often share answers with other test takers, either sharing all answers (a full key) or some (a partial key). Detecting key sharing during a tight testing window requires an efficient, easily interpretable, and rich form of analysis that is descriptive and inferential. We introduce a detection method…

This essay aims to continue a conversation initiated in the 1980s about the contrasting terms "peer" and "tutor." This essay begins with a brief history of the terms, and applies Kenneth Burke's concept of identification to peer tutoring to attempt to explain these contradicting terms. Burke's theory of identification…

The specific learning disabilities (SLD) identification literature is replete with competing narratives concerning the advantages and disadvantages of various techniques and methods. Until a widely accepted and empirically proven SLD identification methodology is universally supported, evaluators should seek to improve the existing alternatives.…

Purpose: This paper aims to draw attention to the significance of "acculturation" in organisations and organising and how learning occurs as micro-practices (organisational poetics). Design/methodology/approach: The recognition of the ontological significance of organisational acculturation invites a more critical view of the effects of…

Prescreening children for specific learning disabilities, e.g., dyslexia, is essential for effective intervention. With a quick and reliable prescreening result, special education coordinators (SENCOs) can provide students with early intervention and relieve their learning pressure. Unfortunately, due to the limited resources, many students in…

The potential for more egalitarian or democratic forms of engagements among people is accepted to be somehow actualised naturally within collaborative or cooperative forms of learning. There is an urgent need for a theoretical framework that does not limit social justice with access or participation, but focuses on the otherwise hidden ways in…

The field of specific learning disabilities (SLDs) has faced three kinds of challenges. "Constitutional challenges" arise from classification and definitional complexities, identification issues, comorbidity, and ontological debates. "Internal challenges" include the inherent difficulties of scientific thinking that compete…

Evidence-based reviews are a type of systematic literature review used to identify evidence-based practices. When conducting an evidence-based review, researchers apply predetermined standards to identify evidence-based practices--practices that have been shown to reliably improve an outcome for a population of learners, according to evidence from…

In some approaches to dialogic pedagogy research, authentic questions have long attracted attention, since the prevalence of authentic questions has been used as an indicator of the dialogic quality of classroom activities. However, this article offers an analysis of the concept of authentic questions in the research literature and shows that this…

This article presents a practice perspective of mathematics pedagogy and mathematics learning, by considering the interconnections between how developing a mathematics identity is bound up with the sayings, doings and relatings one experiences in classroom mathematical encounters. Broadly, mathematics education is fundamentally about stirring…

In this paper we show how we can utilize human-guided machine learning techniques coupled with a learning science practitioner interface (DataShop) to identify potential improvements to existing educational technology. Specifically, we provide an interface for the classification of underlying Knowledge Components (KCs) to better model student…

This innovative practice paper explains a classroom leadership exercise that asks students to identify anonymous people as either Democrats or Republicans based only on brief descriptions. Students are challenged to explore the reasons behind the identifications they make, specifically confronting the trigger words that lead them to assign a…