In this article, we discuss the methodological implications of data and theory integration for Theory-Based Evaluation (TBE). TBE is a family of approaches to program evaluation that use program theories as instruments to answer questions about whether, how, and why a program works. Some of the groundwork about TBE has expressed the idea that a…

Preprocessing is a critical step in the analysis pipeline of spectroscopic data. However, students are rarely introduced to preprocessing when learning spectral techniques in laboratory courses which in turn may affect and delay their progress in the field. Despite its undoubtable importance, students will be mainly performing spectroscopic…

Increasing investment and interest in research and development (R&D) requires an efficient management system for achieving better research project outputs. In tandem with this trend, there is a growing need to develop a method for predicting research project outputs. Motivated by this, using information gathered in the early stage of projects,…

The purpose of this study was to investigate the difficulties pre-service teachers experience in conducting and writing research projects. A concurrent mixed research design was utilized to identify the primary difficulties. To collect the data, the study employed a questionnaire and document analysis. A closed-end questionnaire was administered…

Chapters cover the essential character traits and skills that are necessary to become an effective researcher, walk through the main steps for completing a research project from start to finish, and discuss considerations when building a career and research program. Rather than the nitty-gritty of research methods, authors Joshua N. Hook, Don E.…

We advocate for greater emphasis in training students about data management, within the context of supporting experience in reproducible workflows. We introduce the "L"ancaster "U"niversity "ST"atistics "RE"sources (LUSTRE) package, used to manage student research project data in psychology and build…

We draw on our experiences with mentoring two students to develop a framework for undergraduate research projects with Twitter data. Leveraging backward design principles, we share our learning objectives and rubric for summative assessments. To illustrate the value of Twitter as a data source, we detail methods for collecting and analyzing…

The pandemic of coronavirus disease (COVID-19) in early 2020 has led to tremendous disruptions in education systems worldwide, including the closure of majority of education institutions and the shifting from face-to-face learning toward remote learning. More than 70% of the world's student population were affected by such a disruptive event,…

Background: In many settings internationally, initial teacher education (ITE) relies on cooperation between schools and universities. When these institutions collaborate on teacher education, the shared work can form a basis for community building. This article focuses on experiences in Norwegian ITE of the Change Laboratory (CL), a form of…

Understanding data analysis and interpreting data are key components of teaching interdisciplinary undergraduate students. We detail a semester-long research project that introduces students to long-term data sets, incorporates the use of widely available statistical analysis, and underscores an inquiry-based method of teaching climate change. Our…