Students generate internal feedback by comparing their current knowledge against some reference information. That information might be planned for by teachers -- usually as comments on students' performance -- although most information is accessed by students themselves during task engagement, from their interactions with others, with resources…

Purpose: This paper aims to analyze some knowledge management (KM) frameworks that sustainable development goals (SDGs) can apply to such a challenging implementation. Design/methodology/approach: To accomplish this, a systematic scientific literature review was carried out about the KM concept. Searching, analyzing and collecting different KM…

How do people use information from others to solve complex problems? Prior work has addressed this question by placing people in social learning situations where the problems they were asked to solve required varying degrees of exploration. This past work uncovered important interactions between groups' "connectivity" and the problem's…

The importance of information is seldom centered in modern college access, college disparities, and college-going discussions. This article situates information and how it shapes college pursuits and intensifies inequities, particularly for minoritized groups. Specifically, the author unpacks two components from the Iloh Model of College-Going…

Modern large-scale studies such as the Progress in International Reading Literacy Study (PIRLS) do not only report reading competence of students on a global reading scale but also report reading on the level of reading subskills. However, the number of and the dependencies between the subskills are frequently discussed. In this study, different…

Simulation-based methods are becoming a promising research tool in financial markets. A general Complex Adaptive System can be tailored to different application scenarios. Based on the current research, we built two models that would benefit portfolio management by utilizing Complex Adaptive Systems (CAS) in Agent-based Modeling (ABM) approach.…

This dissertation consists of three chapters exploring the role that information plays in strategic situations. The first two chapters are devoted to modeling a decision maker's reasoning (knowledge, beliefs, and unawareness) about those of other decision makers in strategic environments. The third chapter, in turn, studies how information and…

Knowledge translation (KT) provides a lens to examine the process of moving research-informed knowledge into early intervention practice (P. Sudsawad, 2007). The process of KT entails cognitive, affective, and behavioral stages that are mediated by factors intrinsic and extrinsic to the practitioner. Facilitators and barriers to this process may…

Knowledge mobilisers (people who move knowledge into action) face a number of challenges. These include making sense of diverse definitions, navigating through fragmented literature and identifying helpful models and tools. This paper presents a framework designed to help. Based on a review of 47 knowledge mobilisation models, it consists of four…

Experts have heralded domain-specific play-based curricula coupled with regular coaching and training as our "strongest hope" for improving instructional quality in large-scale public preschool programs. Yet, details from different evaluations of the strongest hope model are not systematically compiled, making it difficult to identify…

Working memory (WM) is used for storing information in a highly accessible state so that other mental processes, such as reasoning, can use that information. Some WM tasks require that participants not only store information, but also reason about that information to perform optimally on the task. In this study, we used visual WM tasks that had…

Nowadays, Massive Open Online Courses (MOOCs) have obtained a rapid development and drawn much attention from the areas of learning analytics and artificial intelligence. There are lots of unstructured data being generated in online reviews area. The learning behavioral data become more and more diverse, and they prompt the emergence of big data…

The main purpose of the paper is to estimate the efficiency of a big public university in Italy using individual student-level data, modeling exogenous variables in human capital formation through a heteroscedastic stochastic frontier approach. Specifically, a production function for tertiary education has been estimated with emphasis on…

This article introduces the cognitive affective engagement model (CAEM) of multiple source use. The CAEM is presented as a way of unifying cognitive and behaviorally focused models of multiple text engagement with research on the role of affective factors (e.g., interest) in text processing. The CAEM proposes that students' engagement with…

Knowledge transfer between employees is a primary concern in organizations. Employees create or acquire content that partially represents knowledge. These knowledge elements are specific to the context in and for which they are created and rarely address the learning needs of other employees in other work situations. Organizations therefore need…