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…

The quality assurance and evaluation of primary schools requires early risk detection. This is a daunting task, not only because risks are typically rare and their origins complex, but also because governing institutions have limited resources and capacity and desire efficiency and proportionality. Many countries, including most Organisation for…

Today, the main aim of educational institutes is to provide a high level of education to students, as career selection is one of the most important and quite difficult decisions for learners, so it is essential to examine students' capabilities and interests. Higher education institutions frequently face higher dropout rates, low academic…

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…

Emphasis in school dropout literature has shifted from exploring wide-ranging causes of dropping out to soliciting a smaller number of predictive indicators to identify students at increased risk for dropping out. However, much of the past decade's Early Warning research excludes indicators that do not add to the predictive nature of the model…

Propensity to judge randomly generated, syntactically correct (i.e., bullshit) statements as profound is associated with a variety of conceptually relevant variables (e.g., intuitive cognitive style and supernatural beliefs). Besides generalizing these findings to a different cultural setting, we examined the relationships to sharing the bullshit…

In this paper, we investigate two purported problems with Bayesian Knowledge Tracing (BKT), a popular statistical model of student learning: "identifiability" and "semantic model degeneracy." In 2007, Beck and Chang stated that BKT is susceptible to an "identifiability problem"--various models with different…

This article is a revised version of the keynote presented at LAK '16 in Edinburgh. The article investigates some of the assumptions of learning analytics, notably those related to behaviourism. Building on the work of Ivan Pavlov, Herbert Simon, and James Gibson as ways of "learning as a machine," the article then develops two levels of…

Reviews of the state of biology fieldwork in UK schools and universities at the beginning of the twenty-first century (Barker, Slingsby, and Tilling 2002; Smith 2004) were not entirely pessimistic; rather they suggested ways forward that might lead to an increase in fieldwork. Whether their hopes have been realised has, perhaps, been revealed by…

Associations between trajectories of depressive symptoms and subsequent tobacco and alcohol use were examined in two samples of girls assessed at age 11.5 (T1), 12.5 (T2), and 13.5 (T3). Two samples were examined to ascertain if there was generalizability of processes across risk levels and cultures. Study 1 comprised a United States-based sample…

Margaret Beier, Leslie Miller, and Shu Wang's paper, "Science games and the development of possible selves" examines the effects of game-playing in a serious scientific game on science possible selves identity creation, utilizing a possible selves identification instrument they created. This paper continues the discussion that Beier and colleagues…

Gifted education is leading an interdisciplinary paradigm shift moving education out of its historic role of entrenching systemic inequities. It is a crucible for pioneering investigations of optimal human development and provides a vehicle for increasing social equity. We review changing conceptions of intelligence, motivation and creativity, and…

Loss aversion and reference dependence are 2 keystones of behavioral theories of choice, but little is known about their underlying cognitive processes. We suggest an additional account for loss aversion that supplements the current account of the value encoding of attributes as gains or losses relative to a reference point, introducing a value…

Empirical evidence shows that intergroup dialogue programs promote changes in ethnic-racial identity and racism awareness among college students. Expanding on this research, this study examines the effects of intergroup dialogues on adolescents' racial consciousness. Self-reports of 147 adolescents (13-19 years old), of various racial and ethnic…

In exemplar models of phonology, phonotactic constraints are modeled as emergent from patterns of high activation between units that co-occur with statistical regularity, or as patterns of low activation or inhibition between units that co-occur less frequently or not at all. Exemplar models posit no a "priori" formal or representational…