MétaCan
Menu
Back to cohort
Record W2915659358

The 21st Century Classroom: Technology as a Transformative Tool in Educational Routines, Rules, and Rituals

2018· dissertation· en· W2915659358 on OpenAlexfundaboutno aff
Jessica Rizk

Bibliographic record

VenueMacSphere (McMaster University) · 2018
Typedissertation
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsTransformative learningPedagogyMathematics educationSociologyEngineering ethicsEngineeringPsychology
DOInot available

Abstract

fetched live from OpenAlex

This dissertation discusses a current niche in sociological literature: technology and interaction rituals in elementary schools. In particular, it examines the relationship between classroom interactions and the increasing available new forms of technologies (i.e. iPads, robotics kits, Smart boards) that are finding their way into schools. In doing so, I consider what new interactions and digital tools might mean for student engagement in what has now become known as the “21st century classroom”. Two pivotal sociological theories are utilized in this project: 1) Collins (2004) interaction ritual (IR) theory and 2) Bourdieu’s (1974; 1986) concept of cultural capital. Both are valuable in understanding how the introduction of digital tools in mainstream schools can influence or change interactions between and among students and teachers in classrooms, how they may impact student engagement gaps. Traditionally speaking, schools have long valued and rewarded certain types of interactions—student obedience alongside teacher authority, an orderly and compliant classroom, emphasis on more traditional teaching and so forth. Student engagement was not necessarily a point of interest, as was having a systematic classroom. However, perhaps technology is beginning to change those valuations, and create new types of classroom interactions that are unique to the 21st century—classrooms that have a more student-centered pedagogy, whereby teachers work in tandem with students to engross them in the learning process, and where student engagement is more much valued. If this is true, this may be a sign of some new emerging types of IRs that are beginning to surface in the presence of technology. Collins' (2004) theory of IR focuses on the emotional input and feedback of individuals that transpire in interactions among actors, which in the case of classrooms, consist of teachers and students. The theory holds that interactions produce or deplete “emotional energy” of participants depending on many key factors (physical co-presence, exclusivity of group, mutual focus/mood, bodily synchronization). A successful ritual is one in which participants have a mutual focus on a particular “symbol” or “emblem” unique to that group. Through this research, I propose that technology can serve as that “emblem” to group membership, and as a result, can facilitate new kinds of IR. “Cultural capital”, in comparison, is usually considered to be a collection of symbolic elements such as skills, tastes, clothing, materials, credentials and so on that one acquires by being a member of a particular social class. In education, cultural capital can refer to having valued sets of skills and knowledge that are aligned with school rewards. Traditionally, this usually meant a middle-upper class advantage in schooling, as students of more affluent families were able to learn valued kinds of skill sets to help them achieve better in school. However, with the advent of new technologies, I question whether notions of cultural capital have changed as a result, and whether possessing a digital skillset is in and of itself, a new type of valued capital. Can new technologies produce more equalizing experiences for students of varying SES backgrounds? To explore the possibility of digital tools in classrooms creating new sets of rituals with new kinds of valued cultural capital, this study adopts a qualitative methodology, consisting of elementary classroom observations, interviews, and focus groups with teachers and students in ten school boards across Ontario, Canada. My research discusses three integrated themes. I begin by asking first, how have technologies transformed the ways in which students and teachers interact with, and amongst each other? By providing a new medium for both teacher pedagogy and student learning, this has major implications for classroom engagement. Secondly, I explore the possibility that one unintended consequence of using digital resources (compared to more traditional print media), has been a reduction in home-based inequalities, and a more “even playing field” for students of varying SES. With the ease, accessibility, and affordability of technology today, students in vary capacities are exposed to new valued skillsets. Lastly, I consider how technology can be a type of “leveler” for different kinds of students, which can allow them to participate and facilitate new types of ritual inclusions. I focus both on gendered interactions and exchanges between students with special needs as examples. The exploration of these three themes guides my research on the use of educational technologies across classrooms. These have important implications for sociologists, educational researchers, and policy-makers alike.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.029
Scholarly communication0.0130.011
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.210
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueMacSphere (McMaster University)Same topicLiteracy, Media, and EducationFrench-language works237,207