Connecticut experienced two major changes in testing policy for children with disabilities that played a major role in conclusions about educational progress in the state. First, the No Child Left Behind Act (NCLB) of 2001 required that all students with disabilities participate in grade-level, standardized tests. This movement of students…

Extension professionals employ many techniques and tools to obtain feedback, input, information, and data from stakeholders, research participants, and program learners. An information-gathering tool called Ketso is described in this article. This tool and its associated techniques can be used in all phases of program development, implementation,…

College Measures was established in 2010 as a partnership between the American Institutes for Research (AIR) and Matrix Knowledge Group (now Optimity Advisors). In 2016, College Measures became fully owned by AIR. It remains focused on using data to drive improvement in higher education outcomes in the United States. Through its Economic Success…

"Which preschool programs best prepare students for kindergarten?" "Which students from which schools need remediation classes in higher education?" "How successful are college graduates in the workforce by major or credential?" These are just a few of the questions that can be answered by a robust longitudinal data…

Analysis of student-level data to inform policy and promote student success is a core function of executive higher education agencies. Postsecondary data systems have expanded their collection of data elements for use by policymakers, institutional staff, and the general public. State coordinating and governing boards use these data systems for…

The need for data-informed decisions is not limited to national policy, state systems, or senior leadership of postsecondary institutions. Decisions that impact the achievement of higher education missions are also made by students, faculty, frontline staff, and program administrators--all of who deserve data and information to support their…

This research project case discusses the methodology and research tools used in an action research study that was designed to support students' intrapersonal intelligence as defined by Howard Gardner (1993) in both the dimensions of self-knowledge and the cognitive capacities of executive function (Moran & Gardner, 2007). This involved…

The following case study describes a research project that used survey data from the National Survey of Student Engagement to examine the relationship between student engagement in higher education and institutional rank as reported by "U.S. News," "Forbes," and "Washington Monthly." The research article was presented…

Nowadays, Massive Open Online Courses (MOOCs) have obtained a rapid development and drawn much attention from the areas of learning analytics and artificial intelligence. There are lots of unstructured data being generated in online reviews area. The learning behavioral data become more and more diverse, and they prompt the emergence of big data…

As a research methodology, qualitative research method infuses an added advantage to the exploratory capability that researchers need to explore and investigate their research studies. Qualitative methodology allows researchers to advance and apply their interpersonal and subjectivity skills to their research exploratory processes. However, in a…

Students with autism spectrum disorder (ASD) are often challenged by social interaction and may require substantial support to interact with peers even in inclusive settings. Having adults support students with ASD during peer interactions, however, may ostracize the student from peers without disabilities. Peer-mediated strategies are needed so…

Australian early childhood education still labours with the achievement of universal access and the production of comprehensive and consistent data to underpin a national evidence base. In this article, we attend to the processes led by numbers whereby new practices of quantification, rationalization and reporting are introduced and mastered in a…

Various types of structured data collected by learning management systems such as Moodle have been used to improve student learning outcomes. Learning analytics refers to an assortment of data analysis methods used for this task. These methods typically do not consider unstructured data such as blogs, discussions, e-mail, and course messages.…

The present study aimed at presenting the results of content analysis on Master's Theses carried out in the field of distance education at higher education level in Turkey between 1986 and 2015. A total of 285 Master's Theses were examined to determine the key words, academic disciplines, research areas, theoretical frameworks, research designs…

To overcome situational hurdles when researching transformative learning in adults, we outline a research approach using single-case research designs and smartphone data collection apps. This approach allows researchers to better understand learners' current lived experiences and determine the effects of transformative learning interventions on…