National testing and reform agendas, with their focus on school improvement, has led to increased collection and scrutiny of student data. The analysis of these data usually occurs at a school level, often by school leaders. What is less common is the opportunity for students to scrutinise their individual data and take ownership over the results…

Adaptive Learning Technologies (ALT) and Learning Analytics (LA) are expected to contribute to the customisation and personalisation of pupil learning by continually calibrating and adjusting pupils' learning activities towards their skill and competence levels. The overall aim of the study presented in this paper was to obtain a comprehensive…

Teacher professional development (PD) that supports the emergence of professional learning communities (PLCs) is effective for teachers' learning and instructional improvement. Our work focuses on supporting the emergence of online PLCs and an emergent issue in this work is how to maintain the quality of teachers' experiences in online PLCs when…

Every day, people use data to make decisions that affect their personal and professional lives, trusting that the data are correct. Many times, however, the data are inaccurate, as a result of a flaw in the design or methodology of the survey used to collect the data. Researchers agree that only questions that are clearly worded, unambiguous, free…

The Fennema-Sherman Mathematics Attitude Scales (FSMAS) are among the most popular instruments used in studies of attitudes toward mathematics. However, the FSMAS has been mainly used among student populations and rarely used with teachers. In the present study, three scales from the FSMAS--"Confidence," "Effectance…

For many years, the Kauffman Foundation has focused efforts on improving educa­tion for children in Kansas City. Prior to opening the Kauffman School, the Kauffman Foundation operated several programs that addressed the challenges faced in urban education, such as Project Early (an early childhood program), Project Choice (a high school dropout…

In this paper, the authors explore the use of learning analytics as a method for easing the cognitive demands on teachers implementing the HALF instructional model. Learning analytics has been defined as "the measurement, collection, analysis and reporting of data about learners and their contexts for the purposes of understanding and…

Lesson study, a form of school-based professional development widely practiced in Japan, has gained popularity in the United States over the last two decades. However, research on its effectiveness has been limited in scope, typically conducted shortly after the conclusion of the professional learning and focused primarily on the practices of…

This study sought to understand the process of change elementary teachers experienced as they participated in mathematics professional development. This investigation explored the impact of mathematics professional development on teachers' content knowledge for teaching, their ability to implement innovative pedagogical practices, and the…

The body of research on the design, implementation, and effects of performance-based compensation systems has influenced the design and evaluation of the 2010 Teacher Incentive Fund (TIF) grants. In the sections presented here, the authors describe the key components of 2010 TIF grants and the conceptual framework for the evaluation. The remainder…

The introduction of the subject Mathematical Literacy (ML) as part of the education reform process, led to the development of many large scale in-service programmes designed to train practising teachers to teach the new subject. The purpose of the study is to examine the challenges associated with providing in-service training for teachers of ML,…

The study was designed to enhance teachers' understating of students' learning by using assessment tasks. Four third-grade teachers and the researcher collaboratively set up a school-based assessment team in the two-year Assessment Practices in Mathematics Classroom project that assisted teachers in implementing assessment as integral part of…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…

The Evaluation System of the District of Columbia Public Schools has several purposes. It is designed to enable the school system to evaluate the effectiveness of programs and to identify characteristics of programs that seem to increase effectiveness. Also, it is designed to enable the schools to follow particular students over a period of years,…