Community colleges have a greater portion of students at-risk for college completion than four-year schools and faculty at these institutions are overwhelmingly and increasingly part-time. Learning communities have been identified as a high-impact practice with numerous benefits documented for community college instructors and students: a primary…

The purpose of this phenomenological study was to describe the experience of "discontinued enrollment" for military veteran students at western Virginia community colleges. The theory guiding this study was Schlossberg's (1981) transition theory, as the military veteran students were in transition from the military to the community…

The purpose of this hermeneutic phenomenological was to describe teacher efficacy in the lived experiences of secondary teachers actively engaged in the instructional coaching process. The theoretical framework guiding this study was Albert Bandura's (1992) social cognitive theory as it expounds upon the role efficacy plays in human agency as it…

Could the research you read be fundamentally flawed? Could critical defects in methodology slip by you undetected? To become informed consumers of research, students need to thoughtfully evaluate the research they read rather than accept it without question. This second edition of a classic text gives students the tools they need to apply critical…

In this case, I discuss my progression from ethnography toward multimodal ethnography as a necessary methodology to study multiliterate and multimodal lives. I view daily life, social interactions, and meaning-making practices as inherently multimodal. By multimodal, I mean that individuals continually read, interpret, and create meanings that…

Data Science courses are becoming more prevalent in recent years. Increasingly more universities are offering individual courses and majors in the field of Data Science. This study evaluates data science education as a means to become proficient in scientific literacy. The results demonstrate how the educational goals of a Data Science course meet…

Schools are awash in data, and teachers are being asked to gather data in a myriad of high-tech and low-tech ways. But gathering is not analyzing, and without analysis there is little reason to gather the data in the first place. Teachers need data-collection systems that lend themselves to rapid analysis and action. This article presents several…

Objectives: The purpose of the study was to provide empirical evidence about the reporting of methodology to address missing outcome data and the acknowledgement of their impact in Cochrane systematic reviews in the mental health field. Methods: Systematic reviews published in the Cochrane Database of Systematic Reviews after January 1, 2009 by…

There is a large body of research on the effectiveness of rater training methods in the industrial and organizational psychology literature. Less has been reported in the measurement literature on large-scale writing assessments. This study compared the effectiveness of two widely used rater training methods--self-paced and collaborative…

In this paper, we emphasize the methodological challenges of analyzing data with/in an enactivist framework in which (1) all knowing is doing is being, while focusing on, (2) how an entry by the observer transforms usual ways of analyzing data. In this sense, the association of knowing with doing suggests a shift in attention away from what…

While student data systems are nothing new and most educators have been dealing with student data for many years, learning analytics has emerged as a new concept to capture educational big data. Learning analytics is about better understanding of the learning and teaching process and interpreting student data to improve their success and learning…

Second language acquisition researchers often face particular challenges when attempting to generalize study findings to the wider learner population. For example, language learners constitute a heterogeneous group, and it is not always clear how a study's findings may generalize to other individuals who may differ in terms of language background…

Educating our future engineers so that they can gain high proficiency in computational thinking is essential for their career prospects. As educators, acquiring a good understanding of the various learning motivation factors/tools as well as their inter-relationships is a significant step forward in achieving this goal. In this article, we…

This paper reflects on research carried out with a group of women receiving intensive family support aimed at addressing the cause of their family's 'anti-social behaviour'. The methodological approach to the research was underpinned by the philosophical principles of critical realism. It was also informed by the ethical and political concerns of…

Intelligent tutoring systems and computer aided learning environments aimed at developing problem solving produce large amounts of transactional data which make it a challenge for both researchers and educators to understand how students work within the environment. Researchers have modeled student-tutor interactions using complex networks in…