Generative AI tools (GenAI) are increasingly used for academic tasks, including qualitative data analysis for the Scholarship of Teaching and Learning (SoTL). In our practice as academic developers, we are frequently asked for advice on whether this use for GenAI is reliable, valid, and ethical. Since this is a new field, we have not been able to…

Scholarly personal narrative (SPN) extends the available methodologies by which researchers conduct the Scholarship of Teaching and Learning (SoTL). In this article, the authors define SPN, which interprets personal experience through scholarly frameworks, leveraging the power of reflective practice to understand the interpersonal dynamics of both…

This paper argues that learning analytics (LA) can make contributions to learning research, in addition to aiming for improvements in learning and teaching practices in a solely applied sense. Indeed, there is potential for transforming learning research if certain approaches developed in LA were used more extensively to study learning. The…

The Scholarship of Teaching and Learning (SoTL) has been described as the fastest growing academic development movement in higher education. As this field of inquiry matures, there is a need to understand how SoTL research is conducted. The purpose of our study was to inform this debate by investigating research approaches used in SoTL…

The aim of this article is to present arguments for an integrated empirical research on teaching and learning based on previous research and the phenomenographic research tradition. From 1970 and for some years after, the main focus in phenomenographic research was on students' approaches to and understanding of subject matter. Later, based on…

The phenomenon of low fertility has been negatively impacted on the social structure of the educational environment in Taiwan. To increase the learning effectiveness of students became the most important issue for the Universities in Taiwan. Due to the subjective judgment of evaluators and the attributes of influenced factors are always fuzzy, it…

A key challenge of visual methodology is how to combine large-scale qualitative data sets with epistemologically acceptable and rigorous analysis techniques. The authors argue that a pragmatic approach drawing on ideas from mixed methods is helpful to open up the full potential of visual data. However, before one starts to "mix" the…

Presents the results of student evaluations of an experimental program in self-directed learning at Kent State University. Focuses on student demography, overall student reaction, certain comparative evaluations to determine student reaction, student load preferences, and the impact of teacher-guides. (Author/RK)

This final report of a National Institute of Education project explores Bayesian statistical analysis as a paradigm for educational impact studies, particularly studies on the education of the disadvantaged. The position of the report is that much of what is wrong with educational research can be attributed to the use of an inappropriate model for…

Results indicated that availability of categories rather than frequency of words seemed most crucial in determining developmental changes in clustering efficiency. (Authors)

The study described in this paper is built on previous research, and applies, tests, and develops an analytic framework to examine teachers' thinking about teaching and learning across subject areas--specifically, contrasts between approaches to mathematics and environmental studies or science. The Teachers' Thinking about Teaching and Learning…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…