This review of the literature examines research reports on learning to teach with technology between 2013 and 2019 to illuminate the characteristics of the field at multiple levels of granularity and to call attention to what is missing. We ask the question: What does the overarching paradigm of the field of research on learning to teach with technology look like? Using a mixed paradigmatic and data science-based analysis that involved qualitatively coding the methodologies, purposes, and approaches in the manuscripts and applying a hierarchical clustering of principal components algorithm, five clusters emerged on a two-dimensional axis that centered on exploring the teacher pipeline versus social and individual experiences on one axis and behaviors and practices versus attitudes and beliefs on the other. The field was found to be tightly centralized, and clusters overlapped and intersected with methods and outcomes bundled together in a milieu buffeted by neoliberal logics and a sense of techno-utopianism to largely support default theories around technology as a “fix” and as an end in itself to build the teacher workforce. This review finds several critical areas underrepresented, such as time- and context-bound ethnographic studies, approaches that center on anti-oppressive critical media literacy, understanding the ways technology can bridge the classroom with families and communities, and learning to teach with technology for equity and inclusion to support the sustainability and development of identities, communities, and a more democratic society.

As a team of diverse researchers, we sought a method to write a substantive literature review that could influence policy on integrated/interdisciplinary curriculum (IC). Simultaneously we engaged in action research during this process to improve as researchers. In two attempts to conduct a rigorous systematic literature review, we encountered numerous obstacles: multiple and amorphous definitions; dependency on authors’ keyword choices; the challenge of consistent application of inclusion criteria; our reluctance to include overlapping studies and to exclude respected qualitative studies; determining if the studies reflected true curriculum integration; and finally, measurement and validity issues. We concluded that systematic reviews may not be as surgical as we had hoped, but instead, can be messy and limiting. Our struggles serve as cautions for researchers investigating interdisciplinary topics such as IC. We offer our process and lessons learned for consideration: loosening inclusion criteria boundaries, ‘slow thinking’, and a prismatic approach to reviewing literature.

The article positions mixed-method research (MMR) as a principled complementary research method to the traditional quantitative and qualitative research approaches. By situating MMR in an analysis of some of the common research paradigms, the article presents it as a natural choice in order to complement and cater to the increasingly complex needs of contemporary researchers. It proffers MMR as a flexible and adaptive conceptual framework for designing and conducting mixed methods research in a simplified manner. By explaining fundamental principles and major theoretical tenets of a mixed-methods approach, which involves both quantitative and qualitative data collection in response to research questions, it elucidates several benefits of adopting MMR since it integrates post-positivism as well as interpretivism frameworks. There is abundant literature around this research design aiming to provide researchers an understanding of the approach. Yet there is limited literature that provides illustrative guidance to research novices in comprehending mixed methods, understanding reasons for choosing it, and selecting an appropriate mixed methods design. Based on an analysis of some notable works in the field, this article provides an overview of mixed methods designs, discusses its main types, and explains challenges one can potentially encounter when in using them with a view to assisting early career researchers in particular and other researchers in general.

Cet ouvrage est un compagnon de route de l’éducationniste dans l’exploration, la maîtrise progressive et l’usage des méthodes quantitatives pour l’analyse et la recherche en éducation et formation. Il est conçu de façon à accompagner l’utilisateur, des premiers stades de la formation jusqu’à l’autonomie. À cette fin, l’étendue du contenu présenté est des plus larges, allant des notions de base de statistique descriptive jusqu’à des méthodes avancées comme les modèles d’équations structurelles. S’adressant à un public non-familier des méthodes quantitatives, l’ouvrage privilégie une approche pratique, l’utilisation de logiciels statistiques, et des exemples illustrant les règles de procédure et d’interprétation.