Cognitive neuroscience research is typically conducted in controlled laboratory environments and therefore its contribution to our understanding of learning in real-world environments is limited. In recent years, however, portable and wearable brain devices have become more readily available for classroom-based research. Complementing existing…

This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design…

Background: The problem of practice at Coronado Elementary School is the inconsistency of effective collaborative planning among the grade level teams. Purpose: This action research study aimed to determine teachers' perceptions of Professional Learning Communities and how they believed participation in a PLC impacts their professional development…

Purpose: This article informs school leaders and staffs about existing research findings on the use of data-driven decision-making in creating class rosters. Given that teachers are the most important school-based educational resource, decisions regarding the assignment of students to particular classes and teachers are highly impactful for…

Texans ages 25-34 who earn an associate degree are nearly twice as likely to earn at least $50,000 per year than those who don't earn a degree (24% vs. 13%). Those earning a bachelor's degree or higher are nearly four times as likely to reach this self-sustaining wage (49% vs. 13%). If every eighth grader in Harris County were to earn an associate…

Addressing inequities in the educational outcomes--particularly for students of color and students from low-income backgrounds--cannot happen without comparable data from statewide summative assessments. Statewide assessment results help schools and district leaders target state and local resources to the students and schools with the greatest…

Social Learning Analytics (SLA) seeks to obtain hidden information in large amounts of data, usually of an educational nature. SLA focuses mainly on the analysis of social networks (Social Network Analysis, SNA) and the Web, to discover patterns of interaction and behavior of educational social actors. This paper incorporates the SLA in a smart…

Informed by interviews with campus administrators and Northern Arizona University (NAU) students, the "Student Success is the DNA of NAU" case study outlines strategies this public, four-year, Hispanic-Serving Institution (HSI) is employing to build NAU into an engine of opportunity for students and the communities they represent. The…

This dissertation is a qualitative study includes documents analysis and interviews. The study focus is applying entrepreneurial theory to funding public higher education in the U.S. The critical portion of the dissertation focuses on the best practices they have implemented to practice academic entrepreneurialism. The literature review takes a…

As 2019 is the 150th anniversary of the Mendeleev's Periodic Table, UNESCO has proclaimed this year the International Year of the Periodic Table (IYPT2019). One of the most important steps in the evolution of the Periodic Table is the concept of atomic number, established by Moseley. In this article, his work is commented on, and the emission of…

Educational improvement projects are increasingly focused upon the significant role of data in determining student performance, teachers' learning, and schools' ability to initiate local reforms. Thus, schools are moving toward a new approach to learning, progressing from the routine to the non-routine through inquiry-based working. In addition,…

This article is a reflection on the National Further Education and Training (FET) Learner Forum (NFLF). It uses the NFLF as an example of learner voice in practice, retracing the history of the NFLF as a means of reflecting on some of the benefits and challenges of bringing learner voice into public policy. The article outlines educational debates…

International large-scale assessments (ILSAs) transitioned from paper-based assessments to computer-based assessments (CBAs) facilitating the use of new item types and more effective data collection tools. This allows implementation of more complex test designs and to collect process and response time (RT) data. These new data types can be used to…

Previous research has emphasized the importance and potential of actively involving teachers in the design and implementation of educational technologies in schools. However, only a few studies have explored the development of methodologies for engaging teachers in the appropriation of digital technologies, as the increased digitalization of many…

Using data to understand learning and improve education has great promise. However, the promise will not be achieved simply by AI and Machine Learning researchers developing innovative models that more accurately predict labeled data. As AI advances, modeling techniques and the models they produce are getting increasingly complex, often involving…