Understanding educators' networks can inform the field of school psychology by offering insight into how the structure of social relationships supports the implementation of school-based programs. However, the difficulties of collecting and modeling network data remain barriers to using network methods in school psychology. To overcome these…

This study highlights the necessity and effects of using worksheets to identify and correct potential gaps, to validate prior knowledge that will be related to new information, concepts, or procedures, as well as the use of portfolios for gathering, selecting, and structuring information to be utilized in later stages. The study involved 79…

Purpose: The purposes of this paper are to provide a description of AI and to document and compare two applications of AI, one in program evaluation and another in an applied research study. Design/methodology/approach: Focus groups, interviews and observations were used to gather rich qualitative data which was used to detail Appreciative…

Nitrogen- or phosphorus-based fertilizers, used in agriculture, can run off into nearby waterways during periods of heavy rain or high flow and cause harmful blooms (Paerl et al. 2016), low oxygen (Joyce 2000), and decreased biodiversity (Sebens 1994). Studies of the effects wetlands can have on water and habitat quality (Verhoeven and Meuleman…

This article describes how one strength and conditioning youth development program implements the teaching personal and social responsibility (TPSR) framework with a portfolio-based system. Some scholars have noted that using portfolios helps connect assessment to instruction by promoting individualized learning for students. The purpose of this…

As scientific models of student thinking, learning progressions (LPs) have been evaluated in terms of one important, but limited, criterion: fit to empirical data. We argue that LPs are not empirically adequate, largely because they rely on problematic assumptions of theory-like coherence in students' thinking. Through an empirical investigation…

Determining which students are at risk of poorer outcomes -- such as dropping out, failing classes, or decreasing standardized examination scores -- has become an important area of research and practice in both K-12 and higher education. The detectors produced from this type of predictive modeling research are increasingly used in early warning…

The state of Wisconsin has one of the highest four year graduation rates in the nation, but deep disparities among student subgroups remain. To address this the state has created the Wisconsin Dropout Early Warning System (DEWS), a predictive model of student dropout risk for students in grades six through nine. The Wisconsin DEWS is in use…

As the use of educational technology becomes more ubiquitous, an enormous amount of learning process data is being produced. Educational data mining seeks to analyze and model these data, with the ultimate goal of improving learning outcomes. The most firmly grounded and rigorous evaluation of an educational data mining discovery is whether it…

In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…

As advanced placement (AP) teachers strive to implement the changes outlined in the AP chemistry redesign, they will have the opportunity to reflect on and evaluate their current practices. For many AP teachers, the new focus on conceptual understanding, reasoning, inquiry, and critical thinking over memorization and algorithmic problem solving…

Providing academic assistance to English Language Learners (ELLs) is varied and often ineffective. The purpose of this causal-comparative study was to determine if there was a relationship between 9th grade students' performance on the High School Graduation Exam (HSGE) in reading and language and the Push-in and Pull-out models of instruction.…

iMentor's College Ready Program is a unique approach that combines elements of school-based mentoring, whole school reform, and technology in an effort to help students develop the full suite of knowledge, behaviors, and skills they need to complete high school and enroll and thrive in college. iMentor partners with high schools that serve…

Communities, Cameras, and Conservation (CCC) is the most exciting and valuable program the author has seen in her 30 years of teaching field science courses. In this citizen science project, students and community volunteers collect data on mountain lions ("Puma concolor") at four natural areas and public parks along the Front Range of Colorado.…

In this paper, we present a microanalysis of a specialized STEM (science, technology, engineering, and mathematics) high school teacher's experience of self-initiated science inquiry curriculum reform. We examine the meanings of these two constructs: "inquiry curriculum" and "curriculum change" through the process lens of interactions, actions,…