Digital technologies make possible new avenues for sharing and accessing literacy research and practices worldwide. Among the myriad of options available, web seminars have become popular online learning venues. The current investigation is part of Global Conversations in Literacy Research (GCLR), a longitudinal and qualitative study now in its…

The California Children and Families Act of 1998 led to creation of the Kern County Children and Families Commission (First 5 Kern) to support early childhood service programs in Kern County, the third largest county in California that spread a land area as large as the state of New Jersey. In Fiscal Year 2014-15, First 5 Kern administered more…

We examined the age of onset, over-time dynamics, and mechanisms underlying science achievement gaps in U.S. elementary and middle schools. To do so, we estimated multilevel growth models that included as predictors children's own general knowledge, reading and mathematics achievement, behavioral self-regulation, sociodemographics, other child-…

To support the effectiveness of afterschool programs in fostering skills youth need to succeed in school and life, a growing number of cities have invested in afterschool systems to coordinate disparate programs and funding streams. A primary function of most afterschool systems is to develop and maintain a data system to collect, analyze, and…

To support the effectiveness of afterschool programs in fostering skills youth need to succeed in school and life, a growing number of cities have invested in afterschool systems to coordinate disparate programs and funding streams. A primary function of most afterschool systems is to develop and maintain a data system to collect, analyze, and…

This qualitative study clarifies opinion of 32 European volunteer youth leaders on concepts of competence, fewer opportunities and enlargement strategies on competence of fewer opportunities. Leaders underline main competencies as follows: tongue, languages, mathematical, digital, learning, social, entrepreneurship, cultural. Key competences are…

An important research problem for Educational Data Mining is to expedite the cycle of data leading to the analysis of student learning processes and the improvement of support for those processes. For this goal in the context of social interaction in learning, we propose a three-part pipeline that includes data infrastructure, learning process…

This presentation discusses the use of a time series approach to the analysis of daily attendance in two urban high schools over the course of one school year (2009-10). After establishing that the series for both schools were stationary, they were examined for moving average processes, autoregression, seasonal dependencies (weekly cycles),…

Analysis of large-scale sequential data has become an important task in machine learning and pattern recognition, inspired in part by numerous scientific and technological applications such as the document and text classification or the analysis of biological sequences. However, current computational methods for sequence comparison still lack…

Each year, the Rennie Center collects state-level indicators in our Data Dashboard to provide context on the condition of education in the Commonwealth. This data is collected from the MA Department of Early Education and Care; MA Department of Elementary and Secondary Education; MA Department of Higher Education; U.S Census Bureau; and U.S.…

This article presents case studies of two rural districts--both confronting economic and demographic challenges--that were making significant strides toward closing achievement gaps between students with and without disabilities. The districts accomplished this work by using six practices, common to both but implemented differently in each: (a)…

This qualitative research study explored second graders' use of visual information to understand characters in picturebooks. Students participated in whole class read-alouds of three picturebooks. Immediately following each read-aloud, students were individually interviewed and invited to talk about the visual text in pre-selected illustrations.…

Accurate and early predictions of student performance could significantly affect interventions during teaching and assessment, which gradually could lead to improved learning outcomes. In our research, we seek to identify and formalize temporal parameters as predictors of performance ("temporal learning analytics" or TLA) and examine…

The disconnect between data collection and analysis across academic and administrative units within institutions of higher education makes it challenging to incorporate diverse data into curricular design. Understanding the factors related to student retention and success is unlikely to occur by focusing on only one unit at a time. By promoting…

This paper draws upon data from a broader piece of research aimed at examining pre-service teachers' views of their initial teacher education within the context of a master's degree programme in teaching. The data were collected through questionnaires and written narratives at the beginning and at the end of the programme. In this paper, the data…