More and more domains such as industry, sport, medicine, Human Computer Interaction (HCI) and education analyze user motions to observe human behavior, follow and predict its action, intention and emotion, to interact with computer systems and enhance user experience in Virtual (VR) and Augmented Reality (AR). In the context of human learning of…

This exploratory multi-case study investigates the types of teacher performance data principals consider and collect when evaluating teachers. Data come from public school principals (N = 10) in the U.S. state of Michigan and includes: interviews (n = 30), observations (n = 20), and artifacts collected in 2016 and 2017. Additionally, specific…

Question classification is a key point in many applications, such as Question Answering (QA, e.g., Yahoo! Answers), Information Retrieval (IR, e.g., Google search engine), and E-learning systems (e.g., Bloom's tax. classifiers). This paper aims to carry out a systematic review of the literature on automatic question classifiers and the technology…

Prospective longitudinal data collection is an important way for researchers and evaluators to assess change. In school-based settings, for low-risk and/or likely-beneficial interventions or surveys, data quality and ethical standards are both arguably stronger when using a waiver of parental consent--but doing so often requires the use of…

In many countries, assessment and curriculum reforms came into being in recent decades. In Iran, an important educational assessment reform took place called Descriptive Assessment (DA). In this reform, the focus of student assessment was moved from a more summative approach of providing grades and deciding about promotion to the next grade to a…

Chronic diseases with behavioral risk factors are now the leading causes of death in the United States. A national Behavioral Risk Factor Surveillance System (BRFSS) monitors those risk factors; however, there is a need for national and state evaluations of chronic disease surveillance systems. The Department of Health and Human Services/Centers…

Extracting information efficiently from game/simulation-based assessment (G/SBA) logs requires two things: a well-structured log file and a set of analysis methods. In this report, we propose a generic data model specified as an extensible markup language (XML) schema for the log files of G/SBAs. We also propose a set of analysis methods for…

Education in Australia is driven by measurement of progress. Music education, however, requires students to engage in creative and experiential tasks. This article will address the inevitable conflicts between these two by suggesting that measurements of student work in fine detail can be made within a practical and engaging classroom without…

Evaluators can work with brief units of text-based data, such as open-ended survey responses, text messages, and social media postings. Online crowdsourcing is a promising method for quantifying large amounts of text-based data by engaging hundreds of people to categorize the data. To further develop and test this method, individuals were…

Systematic direct observation (SDO) is frequently used in schools to document student response to evidence-based interventions, determine eligibility for special education services, and provide objective data during high-stakes decisions. However, there are several limitations associated with this widely used data collection tool including a…

Purpose: In this study, Logistic Regression (LR), CHAID (Chi-squared Automatic Interaction Detection) analysis and data mining methods are used to investigate the variables that predict the mathematics success of the students. Research Methods: In this study, a quantitative research design was employed during the data collection and the analysis…

Existing methods for collecting and analyzing nasality data are problematic for linguistic fieldworkers: aerodynamic equipment can be expensive and difficult to transport, and acoustic analyses require large amounts of optimally-recorded data. In this paper, a highly mobile and low-cost method is proposed. By connecting low impedance earbuds into…

A critical issue in educational evaluation is whether evaluations should focus on standardized (summative, often quantitative) or contextualized (formative or often qualitative) evidence. The author of this article advises readers to beware of false dichotomies. The big issue is not whether evaluations should be "standardized" or…

The questionnaires' origin (sources from which elements of the questionnaire are derived) and initial development (process of making a questionnaire from elements) should be assessed before their measurement properties. There is no Critical Appraisal Tool (CAT) that comprehensively assesses the origin and initial development of questionnaires…

As the higher education landscape has expanded beyond issues of access and affordability to include an emphasis on student completion and employment outcomes, accreditors can play a leadership role in advancing this important change. A shift to student success that rightfully centers in part on closing equity gaps between low-income students and…