Augmented reality (AR) is a unique, hands-on tool to deliver information. However, its educational value has been mainly demonstrated empirically so far. In this paper, we present a modeling approach to provide users with mastery of a skill, using AR learning content to implement an educational curriculum. We illustrate the potential of this…

The purpose of this paper is to review the utility of think alouds in writing instruction and highlight the function of think-aloud modeling in the development of cognitive and metacognitive strategies that support learners' independence. For these purposes, modeling with coping is also explained. Coping models, in which teachers encounter…

In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…

Purpose: To determine the impact of two preservice teachers' value orientations on their interpretation and delivery of the skill themes approach. Method: The short form of the value orientations inventory and five qualitative techniques were used to collect data. Participants' value orientations inventory profiles were illustrated graphically.…

Knowledge tracing algorithms are embedded in Intelligent Tutoring Systems (ITS) to keep track of students' learning process. While knowledge tracing models have been extensively studied in offline settings, very little work has explored their use in online settings. This is primarily because conducting experiments to evaluate and select knowledge…

Purpose: The purpose of this paper is to provide advice to organizations on how to become successful in the digital age. The paper revisits Peter Senge's (1990) notion of the learning organization and discusses the relevance of systems thinking and the other four disciplines, namely, personal mastery, mental models, shared vision and team learning…

This paper presents a model for mastery learning. The framework for this model overlays the cognitive and knowledge dimensions from Krathwohl's revision of Bloom's Taxonomy, the Revised Taxonomy, with Polanyi's theory of personal knowledge. A simplified framework integrates Polanyi's concepts of subsidiary and focal awareness with the Revised…

Recent advances have enabled diagnostic classification models (DCMs) to accommodate longitudinal data. These longitudinal DCMs were developed to study how examinees change, or transition, between different attribute mastery statuses over time. This study examines using longitudinal DCMs as an approach to assessing growth and serves three purposes:…

On basis of Synergistic Leadership (Irby et al., 2002), Situational Leadership (Hersey & Blanchard, 2008), the support systems in Framework for 21st Century Learning (P21, 2019), and related research, this research employed questionnaire surveys and interviews in four application-oriented universities (AOUs) in Shanghai, characterized by…

The learning model should be able to improve student's learning abilities. The Brain-Based Whole Learning (BBWL) model is one of the alternative learning models that can improve students' retention achievement, supported by scientific literacy and concept mastery. This study aims to determine the effect of the BBWL model on students' scientific…

Data from student learning provide learning curves that, ideally, demonstrate improvement in student performance over time. Existing data mining methods can leverage these data to characterize and improve the domain models that support a learning environment, and these methods have been validated both with already-collected data, and in…

While language aptitude and motivation are considered to be important contributors to second language (L2) attainment, two major gaps in the past research have been (1) a lack of nonlinear models stemming from a naive and tacit assumption that learning outcomes are linearly related to their predictors, and (2) a lack of unified and integrative…

Diagnostic classification models (DCMs, also known as cognitive diagnosis models) hold the promise of providing detailed classroom information about the skills a student has or has not mastered. Specifically, DCMs are special cases of constrained latent class models where classes are defined based on mastery/nonmastery of a set of attributes (or…

The BIOSEL (Biotechnology Series Learning) model is a learning model that provides opportunities for students to assemble learning through a conceptual description of the coherent and precise steps of Biotechnology implementation. The purpose of this research was to analyze validity and practicality of the BIOSEL model to improve the concept…

Many subareas share a common interest in students' "motivational resilience," defined broadly as patterns of action that allow students to constructively deal with, overcome, recover, and learn from encounters with academic obstacles and failures. However, research in each of these areas often progresses in relative isolation, and…