The on-farm research network concept enables a group of farmers to test new agricultural management practices under local conditions with support from local researchers or agronomists. Different on-farm trials based on the same experimental design are conducted over several years and sites to test the effectiveness of different innovative…

The authors present a plan for classroom teachers and literacy professionals to conduct case studies, particularly of students' reading motivations and engagement. The authors argue for case study as a way for practitioners to contribute important knowledge to the field that is grounded in practitioners' deep, contextual understanding of the…

Data Analytics has become an essential part of the Internet of Things (IoT), mainly text analytics-related applications, since they can be utilized to benefit educational institutions, consumers, and enterprises. Text Analytics is excessively used in Smart Education after the emerging technologies such as personal computers, tablets, and even…

This paper describes a method to collect data of which section of pages learners were browsing in digital textbooks without eye-tracking technologies. In previous researches on digital textbook systems, it was difficult to collect such data without using eye-tackers. However, eye-trackers cost a massive budget. Our proposed system automatically…

This article outlines a three-phase, team-based approach used to analyze qualitative data from a nation-wide needs assessment of access to Veteran Health Administration services for rural-dwelling veterans. The method described here was used to develop the trustworthiness of findings from analysis of a large qualitative data set, without the use…

Data literacy, or students' abilities to understand, interpret, and think critically about data, is an increasing need in K-16 science education. Ocean Tracks College Edition (OTCE) sought to address this need by creating a set of learning modules that engage students in using large-scale, professionally collected animal migration and physical…

A reproducible analysis is one in which an independent entity, using the same data and the same statistical code, would obtain the exact same result as the previous analyst. Reproducible analyses utilize script-based analyses and open data to aid in the reproduction of the analysis. A reproducible analysis does not ensure the same results are…

This paper is a reflective account of using narrative inquiry and relational ethics as part of doctoral research that explored the lived experiences and identity construction of international school teachers in Shanghai, China. Specifically, it illustrates how narrative inquiry informed the whole research process by focusing on three aspects of…

Contemporary schooling is seen to be altering significantly in light of a combined 'digitisation' and 'datafication' of key processes. This paper examines the nature and conditions of the datafied school by exploring how a relatively prosaic and longstanding school metric (student attendance data) is being produced and used in digital form.…

The online homework system WeBWorK has been successfully used at several hundred colleges and universities. Despite its popularity, the WeBWorK system does not provide detailed metrics of student performance to instructors. In this article, we illustrate how an analysis of the log files of the WeBWorK system can provide information such as the…

Social Network Analysis (SNA) is a statistical method used to analyze the social structure and interactions among individuals within a network. SNA is used extensively in a number of disciplines such as sociology, geography, and communications research. However, the use of SNA by practitioners and researchers in assessment and evaluation is much…

Fully "qualitative" surveys, which prioritise qualitative research values, and harness the rich potential of qualitative data, have much to offer qualitative researchers, especially given online delivery options. Yet the method remains underutilised, and there is little in the way of methodological discussion of qualitative surveys.…

The purpose of this research is to measure the impact of data literacy on psychological empowerment in workplace for newly employed graduates. Since data play an increasingly important role in our lives, including the work environment, it incites research on whether data literacy skills, those related to collecting, processing, analyzing, and…

In this study, we investigated how sixth and seventh grade students used CODAP to make sense of roller coaster data while engaged in Exploratory Data Analysis (EDA). Using instrumentation theory, we examined students' instrumentation approaches, as well as the types of instrumental orchestration utilized by teachers as they interacted with student…

One of the biggest hurdles of teaching data science and programming techniques to beginners is simply getting started with the technology. With multiple versions of the same coding language available (e.g., Python 2 and Python 3), various additional libraries and packages to install, as well as integrated development environments to navigate, the…