Reflections on the impact of social technologies on lecturers in a pathway institution

Education has evolved over time from face-to-face teaching to computer-supported learning, and now to even more sophisticated electronic tools. In particular, social technologies are being used to supple- ment the classroom experience and to ensure that students are becoming increasingly engaged in ways that appeal to them. No matter how educationally beneficial, however, new technology is affected by its users. To investigate this, lecturers at the Eynesbury Institute of Business and Technology (EIBT)—a Higher Education pathway provider—were surveyed to determine their perception and application of social technolog(ies) in their personal, but predominantly ‘professional’ lives. Utilising a qualitative and autoethnographic approach, one author provides an insight into their own attitude toward social technologies, coupled with responses to three open-ended questions. Thereafter, the same questions were posed to EIBT academic staff to understand their willingness or reluctance to use social technologies in their practice as part of their first-year pathway course(s)

Data Visualization in Online Educational Research

This chapter presents a general and practical guideline that is intended to introduce the traditional visualization methods (word clouds), and the advanced visualization methods including interactive visualization (heatmap matrix) and dynamic visualization (dashboard), which can be applied in quantitative, qualitative, and mixed-methods research. This chapter also presents the potentials of each visualization method for assisting researchers in choosing the most appropriate one in the web-based research study. Graduate students, educational researchers, and practitioners can contribute to take strengths from each visual analytical method to enhance the reach of significant research findings into the public sphere. By leveraging the novel visualization techniques used in the web-based research study, while staying true to the analytical methods of research design, graduate students, educational researchers, and practitioners will gain a broader understanding of big data and analytics for data use and representation in the field of education