Departments and programmes in higher education are required to participate in an increasing number of programme, course and student assessments. These assessment requirements are also opportunities to develop student skills related to scientific literacy and research, if students are included in the process of developing, administering and…

Purpose: The purpose of this paper is to explain how rapid ethnography (RE) is used to understand the business decision-making process of micro-entrepreneurs. The objective of this paper is to highlight the applicability of RE in entrepreneurship research and outline practical strategies that can be used by future RE researchers.…

A large dataset of word recognition behavior from nonnative speakers (NNS) of English was collected using an online crowdsourced lexical decision task. Lexical features were used to predict NNS lexical decision latencies and accuracies. Predictors of NNS latencies and accuracy included contextual diversity, age of acquisition, and contextual…

Abstract: This study evaluated whether or not teachers of students with severe disabilities reported implementing specific data-based decision guidelines to make instructional decisions (Browder, Liberty, Heller, & D'Huyvetters, 1986; Browder, Demchak, Heller, & King, 1989) following completion of their teacher preparation program. A…

The problem statement for this project based learning was loose coupling, when applied to the PBIS framework, translates into major gaps with district wide implementation of Tier II and Tier III interventions. Additionally, lack of superintendent adaptive schools' knowledge and practices impact fidelity of implementation. Tier II and Tier III…

Systems thinking (ST) is a holistic leadership approach that puts the study of wholes before that of parts. It focuses attention on how organization members act together in networks of interactions. This is done by researching organization members' mental models, which are deeply ingrained assumptions, generalizations, or even mental pictures or…

Data modernization and security practices allow educational leaders to provide accurate, secure, and timely data that can be securely exchanged, shared, and connected in order to provide instant understanding of school performance, student attendance, academic performance, or funding from multiple sources. This matters because: (1) Data…

Purpose: This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational…

Elementary school teachers struggle to collect and use reading progress data to make instructional decisions. Collecting and interpreting reading progress data when making instructional decisions allows districts to identify and support students who need early reading intervention and may protect districts from Free Appropriate Public Education…

This essay advances discussion of the evolution of student development theory as foundational knowledge for student affairs practice and the role theoretical consensus plays in the application of theory to student affairs practice. We located our discussion within the context of student affairs as a low-consensus field and address 2 related…

The educational recommendation system to provide support for academic guidance and adaptive learning has always been an important issue of research for smart education. A bad guidance can give rise to difficulties in further studies and can be extended to school dropout. This paper explores the potential of Educational Data Mining for academic…

Schools need support in the use of data. To provide this support, a data team intervention was developed. A prior study conducted in the Netherlands showed that several factors can enable or hinder the work of data teams. The current replication study focuses on the factors influencing data use in data teams and the perceived effects of the data…

In this article, based on their book Educational Goods: Values, Evidence and Decision Making, Harry Brighouse, Helen Ladd, Susanna Loeb, and Adam Swift encourage education decision makers to give careful thought to the values that underlie the data they collect and use to inform policy. Rather than basing decisions entirely on what improves…

Background: Informing policy and practice with up-to-date evidence on the social determinants of health is an ongoing challenge. One limitation of traditional approaches is the time-lag between identification of a policy or practice need and availability of results. The Right Here Right Now (RHRN) study piloted a near-real-time data-collection…

Learning analytics involve the process of gathering data about students and using the information to intervene in their lives to improve learning and institutional outcomes. Many academic libraries now participate in learning analytics. However, such practices raise privacy and intellectual freedom issues due to sensitive data practices. But, few…