This study predicts the number of correct answers given by pre-service classroom teachers in Civil Servant Recruitment Examination's (CSRE) educational sciences test based on their high school grade point averages, university entrance scores, and grades (mid-term and final exams) from their undergraduate educational courses. This study was…

Predictive analytics in education can offer a benefit as long as educators heed the differences between how the tools are used in industry and how they should be used differently in schooling. Perhaps most important, teachers already know a great deal about their students--far more than an investor knows about a stock or a baseball scout about an…

Longitudinal studies can provide significant insights into how students develop competence in a topic or subject area over time. However, there are many barriers, such as retention of students in the study and the complexity of data analysis, that make these studies rare. Here, we present how a statistical framework, discrete-time survival…

The purpose of this article is to investigate "in situ" the functions that knowledge has when used by students in argumentative discussions. The study is based on Dewey's pragmatic perspective of knowledge, which means that knowledge gets its meaning in the activity at hand. The analyses are conducted using Transactional Argumentation…

This study examined state efforts to control tuition increases over the past 10 years. Using data from 50 states and 540 public 4-year universities and colleges, we examined average tuition increases in dollar amount and percentage of change by the type of state tuition control policy and by the authority for tuition-setting power. The state…

It is by now well established that toddlers use the linguistic context in which a new word--and particularly a new verb--appears to discover aspects of its meaning. But what aspects of the linguistic context are most useful? To begin to investigate this, we ask how 2-year-olds use two sources of linguistic information that are known to be useful…

Purpose: The purpose of this paper is to examine how a foresight project supports institutional positioning efforts through joint sensemaking. Design/methodology/approach: This paper describes a case study that investigated the design, implementation, and outcomes of a foresight project at a Finnish higher education institution that selected sales…

This publication presents completion and attrition rates for apprentices and trainees using three different methodologies: (1) contract completion and attrition rates: based on the outcomes of contracts of training; (2) individual completion rates: based on contract completion rates and adjusted for factors representing average recommencements by…

Personalization, the idea that teaching can be tailored to each students' needs, has been a goal for the educational enterprise for at least 2,500 years (Regian, Shute, & Shute, 2013, p.2). Recently personalization has picked up speed with the advent of mobile computing, the Internet and increases in computer processing power. These changes…

The purpose of the present study is to determine the relationship between organizational support and organizational trust of teachers. Organizational support is recognizing the contribution of employees, appreciating and paying attention to them in the organizations. Organizational trust refers to an organizational climate that the employees…

We show that student learning can be accurately modeled using a mixture of learning curves, each of which specifies error probability as a function of time. This approach generalizes Knowledge Tracing [7], which can be viewed as a mixture model in which the learning curves are step functions. We show that this generality yields order-of-magnitude…

This paper reports the results from a sensor-free detector of mind wandering during an online reading task. Features consisted of reading behaviors (e.g., reading time) and textual features (e.g., level of difficulty) extracted from self-paced reading log files. Supervised machine learning was applied to two datasets in order to predict if…

There is increasing evidence that fine-grained aspects of student performance and interaction within educational software are predictive of long-term learning. Machine learning models have been used to provide assessments of affect, behavior, and cognition based on analyses of system log data, estimating the probability of a student's particular…

This publication summarizes the key discussion from experts in the field of measuring student growth during a convening held February 2015. Experts heard about two emerging approaches to measuring growth: Portfolios of student work samples and unit value-added models that provide teachers with timely and actionable feedback that they can use to…

Authenticity is a basic personality characteristic that has an important influence on both the psychological and social lives of individuals. Subjective vitality also assumes a facilitative role regarding positive mental health indicators. Therefore, the purpose of this study is to investigate the predictive role of authenticity on subjective…