This brief explores data science methods that workforce programs can use to predict participant success. With access to vast amounts of data on their programs, workforce training providers can leverage their management information systems (MIS) to understand and improve their programs' outcomes. By predicting which participants are at greater risk…

Teachers of students with learning disabilities (LD) who also are emergent bilingual (EB) are tasked with meeting students' individual learning needs and developing academic language. Teachers require specialized knowledge in second-language acquisition and the specific learning strategies to support students' learning disabilities. Reading…

The "Pathway to Academic Success Project" trains teachers to improve the reading and writing abilities of English learners (ELs) who have an intermediate level of English proficiency by incorporating cognitive strategies into reading and writing instruction. This What Works Clearinghouse (WWC) intervention report, part of the WWC's…

The "Pathway to Academic Success Project" trains teachers to improve the reading and writing abilities of English learners (ELs) who have an intermediate level of English proficiency by incorporating cognitive strategies into reading and writing instruction. This What Works Clearinghouse (WWC) intervention report, part of the WWC's…

The "Pathway to Academic Success Project" trains teachers to improve the reading and writing abilities of English learners (ELs) who have an intermediate level of English proficiency by incorporating cognitive strategies into reading and writing instruction. The cognitive strategies include goal setting, tapping prior knowledge, asking…

Predicting the future is a basic problem that people have to solve every day and a component of planning, decision making, memory, and causal reasoning. In this article, we present 5 experiments testing a Bayesian model of predicting the duration or extent of phenomena from their current state. This Bayesian model indicates how people should…

Achievement in mathematics is inextricably linked to future career opportunities, and therefore, understanding those factors that influence achievement is important. This study sought to examine the relationships among attitude towards mathematics, ability and mathematical achievement. This examination was also supported by a focus on gender…

In many situations, readers are asked to learn from multiple documents. Many studies have found that evaluating the trustworthiness and usefulness of document sources is an important skill in such learning situations. There has been, however, no direct evidence that attending to source information helps readers learn from and interpret a…

The aim of this study was to explore the relationships between prior knowledge, academic self-beliefs, and previous study success in predicting the achievement of 139 students on a university mathematics course. Structural equation modelling was used to explore the interplay of these variables in predicting student achievement. The results…

The interactions between levels of learner prior knowledge and effectiveness of different instructional techniques and procedures have been intensively investigated within a cognitive load framework since mid-90s. This line of research has become known as the expertise reversal effect. Apart from their cognitive load theory-based prediction and…

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)

The purpose of reading is for the reader to construct meaning from the text. For many young adults with Down syndrome, knowing what the text is all about is difficult, and so for them the activity of reading becomes simply the practice of word calling. It is suggested in the literature that for those individuals with Down syndrome, learning can…