Effective time management is associated with greater academic performance and lower levels of anxiety in students; however many students find it hard to find a balance between their studies and their day-to-day lives. This article examines the self-reported time management behaviors of undergraduate engineering students using the Time Management Behavior Scale. Correlation analysis, regression analysis, and model reduction are used to attempt to determine which aspects of time management the students practiced, which time management behaviors were more strongly associated with higher grades within the program, and whether or not those students who self-identified with specific time management behaviors achieved better grades in the program. It was found that students’ perceived control of time was the factor that correlated significantly with cumulative grade point average. On average, it was found that time management behaviors were not significantly different across gender, age, entry qualification, and time already spent in the program.

In an attempt to help find meaning within qualitative data, researchers commonly start by coding their data. There are a number of coding systems available to researchers and this reflexive account explores my reflections on the use of two such techniques. As part of a larger investigation, two pilot studies were undertaken as a means to examine the relative merits of open coding and template coding for examining transcripts. This article does not describe the research project per se but attempts to step back and offer a reflexive account of the development of data coding tools. Here I reflect upon and evaluate the two data coding techniques that were piloted, and discuss how using appropriate aspects of both led to the development of my final data coding approach. My exploration found there was no clear-cut ‘best’ option but that the data coding techniques needed to be reflexively-aligned to meet the specific needs of my project. This reflection suggests that, when coding qualitative data, researchers should be methodologically thoughtful when they attempt to apply any data coding technique; that they do not assume pre-established tools are aligned to their particular paradigm; and that they consider combining and refining established techniques as a means to define their own specific codes. DOI:10.2458/azu_jmmss_v6i1_blair

Changes in the conceptualisation of higher education have led to instructional methods that embrace technology as a teaching medium. These changes have led to the flipped classroom phenomenon -where content is delivered outside class, through media such as video and podcast, and engagement with the content, through problem-solving and/or group work, occurs in class. Studies investigating the impact of the flipped classroom have mainly looked at the student experience with little focus on whether exam outcomes are enhanced by flipping. An undergraduate Material Technology course at The University of the West Indies was taught in two formats over two successive years. The course was taught during the 2012/13 academic year in a 'traditional' format but, after reflecting on student feedback and personal pedagogy, the lecturer restructured the class and taught it in a flipped format during the 2013/14 academic year. This research examines whether the flipped format improved the learning experience in relation to exam performance and student perception. Data was gathered through analysis of course grades and student evaluation questionnaires. The lecturer's reflective comments were also reviewed before and after the study. Analysis of the qualitative data shows that the flipped format led to a slight improvement in how students perceived the course and the lecturer's reflection shows that they are keen to continue with the flipped format as it allowed more time for them to work with students at an individual level. While no significant change in relation to average cohort exam performance was found, fewer students in the flipped classroom achieved marks at the highest level. It is therefore recommended that practitioners who intend to flip their classroom pay as much attention to student performance as they do to student perception.

In an attempt to help find meaning within qualitative data, researchers commonly start by coding their data. There are a number of coding systems available to researchers and this reflexive account explores my reflections on the use of two such techniques. As part of a larger investigation, two pilot studies were undertaken as a means to examine the relative merits of open coding and template coding for examining transcripts. This article does not describe the research project per se but attempts to step back and offer a reflexive account of the development of data coding tools. Here I reflect upon and evaluate the two data coding techniques that were piloted, and discuss how using appropriate aspects of both led to the development of my final data coding approach. My exploration found there was no clear-cut 'best' option but that the data coding techniques needed to be reflexively-aligned to meet the specific needs of my project. This reflection suggests that, when coding qualitative data, researchers should be methodologically thoughtful when they attempt to apply any data coding technique; that they do not assume pre-established tools are aligned to their particular paradigm; and that they consider combining and refining established techniques as a means to define their own specific codes.

No abstract