Adaptive learning technology solutions often use a learner model to trace learning and make pedagogical decisions. The present research introduces a formalized methodology for specifying learner models, logistic knowledge tracing (LKT), that consolidates many extant learner modeling methods. The strength of LKT is the specification of a symbolic…

Adaptive learning technology solutions often use a learner model to trace learning and make pedagogical decisions. The present research introduces a formalized methodology for specifying learner models, logistic knowledge tracing (LKT), that consolidates many extant learner modeling methods. The strength of LKT is the specification of a symbolic…

In response to the paradigm shift of feedback from information to process, the notion of 'student feedback literacy', which refers to students' capacities and dispositions to use feedback, has been increasingly promulgated in the higher education assessment literature recently. Student feedback literacy has been conceptualized into three…

In this work we use prior to tutor-session data to generate an individualized student knowledge model. Intelligent learning environments use student models to individualize curriculum sequencing and help messages. Researchers decompose the learning tasks into sets of Knowledge Components (KCs) that represent individual units of knowledge; the…

In our everyday life, we often need to anticipate the potential occurrence of events and their consequences. In this context, the way we represent contingencies can determine our ability to adapt to the environment. However, it is not clear how agents encode and organize available knowledge about the future to react to possible states of the…

This study has been aimed to propose a conceptual framework that helps researchers examine mathematics teachers' PCK in the context of supporting students' mathematical thinking. "Advancing Children's Thinking Framework" which is a pedagogical model developed by Fraivillig, Murphy and Fuson (1999) that supports the development of…

In theoretical cognitive science, there is a tension between highly structured models whose parameters have a direct psychological interpretation and highly complex, general-purpose models whose parameters and representations are difficult to interpret. The former typically provide more insight into cognition but the latter often perform better.…

Three models representing different relations between intellectual ability, metacognitive skills, and learning were compared. The conditions under which each of these models holds were investigated, on the basis of the threshold of problematicity theory [Elshout, J. J. (1987). Problem solving and education. In E. De Corte, H. Lodewijks, R.…

Suggests that instructional theory is possible, but it should concern itself only with narrowly circumscribed local instructional situations, relatively small chunks of curriculum for relatively small segments of the educational population. (Author/AM)

Educational psychology has indicated that prior knowledge is a potentially important educational variable. Recent and earlier research in educational psychology has shown that 30 to 60% of the variance in study results could be explained by this variable. Insight into these factors should influence the return on education. A common theoretical…

An optimal unbiased classification rule is proposed based on a longitudinal model for the measurement of change in ability. In general, the rule predicts future level of knowledge by using information about level of knowledge at entrance, its rate of growth, and the amount of within-individual variation. (SLD)

A model of the sources and consequences of mismatches between gestures and speech is presented that argues that the transitional knowledge state is the source of the mismatch and that such mismatches signal that a child is in a transitional state of concept acquisition and is ready to learn. (SLD)

An extension of the multidimensional Rasch model for learning and change is presented that permits theories of processes and knowledge structures to be incorporated into the item response model. The extension resolves basic problems in measuring change and permits adaptive testing. The method is illustrated in a study of mathematical problem…

Two studies involving 274 Air Force recruits and 163 college students, respectively, investigated the relationship between priming effects and declarative knowledge acquisition within repetitive practice models. Individual differences in repetition-priming effects uniquely predicted learning differences relative to other cognitive measures.…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…