Educational stakeholders would be better informed if they could use their students' formative assessments results and personal background attributes to predict the conditions for achieving favorable learning outcomes, and conversely, to gain awareness of the "at-risk" signals to prevent unfavorable or worst-case scenarios from happening.…

Among community college leaders and others interested in reforms to improve student success, there is growing interest in adopting machine learning (ML) techniques to predict credential completion. However, ML algorithms are often complex and are not readily accessible to practitioners for whom a simpler set of near-term measures may serve as…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

Objective: This study examines how accurately a small set of short-term academic indicators can approximate long-term outcomes of community college students so that decision-makers can take informed actions based on those indicators to evaluate the current progress of large-scale reform efforts on long-term outcomes, which in practice will not be…

Leadership is a multifaceted skill as it requires the alignment of body, spirit and mind (Brown & Moshavi, 2005). Furthermore, it is a combination of behavior, actions and interaction between leaders and followers. It is characterized by the leaders' decisions' ability to influence followers' performance and achievement through their…

This article outlines shortcomings of currently used university admissions tests and discusses ways in which they could potentially be improved, summarizing two projects designed to enhance college and university admissions. The projects were inspired by the augmented theory of successful intelligence, according to which successful intelligence…

In its report "To Err is Human", The Institute of Medicine recommended the implementation of internal and external voluntary and mandatory automatic reporting systems to increase detection of adverse events. Knowledge Discovery in Databases (KDD) allows the detection of patterns and trends that would be hidden or less detectable if analyzed by…

In 2 studies with 85 and 88 undergraduates, respectively, peripheral nerve conduction velocity (NCV) was significantly correlated with IQ score and reaction times, and NCV and reaction time contributed significantly, in combination, to prediction of IQ. Results are interpreted in terms of a neural efficiency model of intelligence. (Author/SLD)

Data from a variety of infant intelligence scores make clear that it is not possible to consider (1) that infant intelligence is a measurable, stable and unitary construct, (2) that there is a general g factor easily discernible in infancy, (3) that there is stability of scores both within and across scales, or (4) that there is predictability…

Raven's Progressive Matrices test items were analyzed for M demand (Pascual-Leone's developmental construct). Data on second- and third-grade subjects were analyzed for extent of absolute agreement of Raven and Figural Intersection Test (FIT) scores. Raw scores on the Raven could be deduced on the basis of FIT performance. (Author/RD)

The Learning Potential Assessment Device and Instrumental Enrichment are two much needed improvements in education. Used in tandem, they rectify previous problems of testing and teaching by providing an unbiased assessment device which does not rely on labels for categories of learners. (VM)

A methodological framework is presented for representing tradeoffs among alternative combinations of training and aiding for personnel in complex situations. In general, more highly trained people need less aid, and those with less training need more aid. Balancing training and aiding to accomplish the objectives of the system in a cost effective…

Evaluated the PREG conceptual model of human question asking. Found the model was sufficient as it accounted for nearly all of the questions produced by students, and was discriminating in that it could identify the conditions in which particular classes of questions are or are not generated. (Author/SD)

A primary objective of this study was to examine the relations among students' perceptions of the classroom goal orientation as ability-focused goals and their own goals, as well as the relationships between these two components and other motivational factors such as subject-specific self-efficacy and task value. An additional purpose was to…

The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…