We are soliciting manuscripts for an edited volume on conversation analysis as a change agent in language teacher education. Over the last decade, conversation analytic (CA) findings from classroom discourse studies have started feeding into language teacher education contexts, yielding a number of CA-based teacher training frameworks such as SETT (Walsh 2013), IMDAT (Sert, 2019) and FAB (Waring & Creider, 2021). We have now reached a tipping point of grappling with or groping for the material impact of CA in the actual language classrooms around the world. In particular, we are interested in studies that document practice-based changes (e.g., change in teacher practices in the classroom and in reflective practices) in which CA plays a role. We realize that such CA-informed “interventions” can come in many shapes and forms and welcome a multitude of endeavors and innovations.
Should you be interested in participating in such a project, please send us a 300-word abstract byDecember 5, 2022 that describes (1) the context of the study, (2) the specific role CA plays as a change agent, and (3) the types of changes (to be) documented. Decisions for possible inclusion in the volume will be sent out by December 15, 2022, with submissions of first drafts due by July 1, 2023.
How teachers handle errors of students in classrooms has been a topic of interest for researchers across disciplines. Mathematics is no exception to this. In this guest blog post, researchers Odd Tore Kaufmann (Østfold University College, Norway), Maria Larsson (MIND & M-TERM Research groups, Mälardalen University, Sweden) and Andreas Ryve (M-TERM Research group, Mälardalen University, Sweden) share their research findings on mathematics teachers’ error handling practices across different lesson phases, drawing on their analysis of lessons from several Swedish municipality schools. The full text of the research article is available open access, and can be downloaded using this link. Please scroll down for a short, accessible summary.
—————————————————————————————
Many studies have been conducted regarding teachers’ error-handling practices and how errors can be treated as opportunities for learning. Most of these studies have been done in the context of whole-class discussions. Therefore, we wanted to investigate teachers’ error-handling practices as they occur in different phases of mathematics lessons: introduction of the task, when students work alone, when students work in pairs, and finally, in whole-class discussions. We aimed to investigate if there are differences in error-handling practices across the lesson phases and what types of error-handling practices dominate the different lesson phases. We collected data from “Matematiklyftet (Boost for Mathematics),” a curriculum-based professional development program launched by the Swedish National Agency for Education. The study included 12 teachers and 51 lessons in grades 4-6 in Sweden. All lessons were video-taped. We categorized teachers’ error handling practices and found eight different types of error-handling.
We found that in the introduction, the most common error handling practice was to ignore the error and give a direct correction (either by saying the correct answer or telling the student that s/he is wrong). We believe the reason for this strategy in the introduction of the lesson is that the teachers want to keep this phase short and avoid too many potentially confusing mathematical discussions.
When students work alone or in pairs, asking students to talk to each other and reflect is the most common error handling practice, in addition to correcting students’ errors by direct or embedded corrections. Embedded correction aims to lead the student towards the correct answer with one or more funnelling questions or comments. The set-up of error-handling practices during these phases is in resonance with the idea that teachers should not disturb students during their mathematical work, hence being somewhat invisible or non-intervening while students are working.
A larger variation of error-handling practices was found in whole-class discussions including discussion and teacher explanation. In a whole-class discussion, often held at the end of the lessons observed, the teacher uses the opportunity to bring up errors that s/he had noticed during individual/group work. In such situations, the teacher involves the students in discussing errors more than s/he does in other lesson phases.
What do these findings tell us?
The study revealed how teachers handle errors within and across lesson phases, and has implications for learning, teaching, and teacher education. We argue that involving students to discuss errors, rather than merely ignoring or correcting them, may enhance learning opportunities. They can give their students time and opportunities to discuss and resolve their errors with their peers in small groups and in whole-class settings. Teachers, however, need to develop awareness of differences between different lesson phases in order to achieve this. This requires that teachers reflect on their lessons to observe these interactional practices, and opportunities for such reflections should be a part of both initial teacher education and continuous professional development.
I am one of those who think that one needs to balance “big” and more focused “small” conferences during a year: you can dig in deep in more subject/methodology/field specific small conferences, and map the broader field in a big one. For me, the European Conference on Educational Research (ECER) 2022 in Yerevan was a big one: the whole field of education! Even language education conferences or big applied linguistics conferences (e.g. AAAL) are massive, but what was I doing in Yerevan? I will start from the beginning of the story.
On the 21st of December, 2021, we decided to have a conference abstract writing workshop under Elin Sundström Sjödin‘s leadership, organised by SOLD (Language and Literature) research environment. After a successful workshop and rounds of peer-feedback, all of those who submitted an abstract (1300 words!) got accepted: Christa Roux Sparreskog, Simon Sjölund, Elin Sundström Sjödin,
Mälardalen INteraction & Didactics (MIND) Research group is organizing a symposium on the 15th of June in Västerås. The theme of the symposium is “At the crossroads of artefacts, technologies, and pedagogies: Interactional pathways for learning and teaching”. Together with researchers from different universities in Sweden and Finland, we will discuss our ongoing research as well as future directions. The symposium brings together projects that address the use of online translation tools, smartphones, telepresence robots, mobile observation tools, and other artefacts both in formal and informal learning environments, with a focus on micro-analysis of interaction.
Please send an email to olcay.sert[at]mdu.se by the 8th of June if you want to join us.
At the crossroads of artefacts, technologies, and pedagogies: Interactional pathways for learning and teaching
Mälardalen INteraction & Didactics (MIND) Research Group
15 June 2022 Venue: Västerås, U3-104 13:15-13:20 Opening
13:20-13:40 Nigel Musk & Sofie van der Meij Critical strategies for selecting candidate translations in online translation tools in collaborative writing tasks
13:50-14:10 Silvia Kunitz & Ali Reza Majlesi Exploring the use of smartphones in language cafés
14:20-14:40 Amanda Hoskins The affordances of various artefacts for task-based interaction
Fika
15:00-15:20 Teppo Jakonen, Heidi Jauni & Olcay Sert Achieving intersubjectivity of gaze in robot-mediated L2 interaction
15:30-15:50 Olcay Sert, Annaliina Gynne & Maria Larsson Overt negative evaluation in classroom interaction: Tracking its use through video-based observation, feedback, and reflection
15:50-16:30 Discussion & QA
Poster: At the crossroads of artefacts, technologies, and pedagogies: Interactional pathways for learning and teaching
Teppo Jakonen’s online data session “Telepresence robot mediated classroom interaction” has been postponed to the 3rd of June, 13:15 (CET). See the updated list of data session below. Get in touch with us at olcay.sert@mdh.se or marwa.amri@mdh.se for information.
Our next online data session will be led by Stephen Looney (The Pennsylvania State University). Steven will present data from a large body of video-recorded classrooms collected over the course of a semester in an Intensive English Program at a large US research university. Please see the event poster below for details on the date. Send an email to marwa.amri@mdh.se to register for the session.