TRENDS- Going beyond what is visible: What multichannel data can reveal about
interaction in the context of collaborative learning?

Story Notes

Who

Methods

What interesting

What new

What Controversial

What relevant

Problem

Collecting Data

Understand Interaction

In Collaborative Learning

Aspects

Simultaneous Arousal

Feeling

Emotion

Response

Facial Expression

Channels

Physiological

Video Observation

Facial Recognition

Type of regulation of learning

during Collaborative Learning

5 groups / 3 members

Design healthy breakfast for athlete

Empatica sensors capture arousal

Video observation to contextualize working phases & types of interaction

Post-processing record: create facial expression data

Result

  1. Simultaneous arousal episodes occurred throughout phases of collaborative learning
  1. Learners presented the most NEGATIVE facial expressions during simultaneous arousal episodes.
  1. Most of collaborative interaction was low-level during arousal
  1. Regulated learning was not observable
  1. Regulated learning was present when Interaction was high-level
  1. When Interaction was confused, it included monitoring activities
  1. Represents an advance in testing new methods
    for objective measurement of Social Interaction and Regulated
    Learning in Collaborative Contexts

10 years researching SRL

Strong self-regulation skills can adapt to challenges in learning situations

SRL as a cyclical, complex metacognitive and social process that involves adaptation in thinking, motivation, emotion, and behavior

adapt their task perceptions, goals, and
strategies.

Tech deve -> beyond: ontologically flat data

Problem

extremely difficult to recognize and make visible how learners confront challenges that might undermine or activate their learning progress

electrodermal activity (EDA)

measure physiological data

physiological signals

providing information

Cognitive demand

Task difficulty

Attention to Task Engagment

Measure Collaborative Learning

Not only of students' verbal utterances in learning situations but also of the

physiological reactions— normally invisible to human detection—underlying those utterances.

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by engaging in different types of mutual interaction

1.1. Self-regulated learning as an adaptive and cyclical process

SRL is not necessarily linear

in each phase of study, learners revisit and
change their plans or strategies through metacognitive monitoring

Regulation is not spontaneous or automatic; rather, it is characterized by intent or purposeful action in
response to challenges or novel situations

Overtime

in responding to new challenges, situations, or failures in ways that optimize
progress toward personal goals

3 phases in SRL

Planning

Strategic enactment

Evaluation

1.2. 1.2. Collaborative learning and social interaction

collaboration def

construction of shared understanding through interaction with others,

in which the participants are committed to or engaged in shared goals

Types of Interaction

In collaborative learning, students' behavior is more complex than in the case of individual learning

High - level

Low- level

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all the

learners contribute to the co-construction of knowledge by asking

questions and negotiating task concepts as they engage in regulation of

learning.

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Learners are instead more focused on

gaining an individual understanding of the relevant topics by reading

and processing information rather than interacting with their group

members

Environment

Effective collaboration requires an environment that promotes positive interdependence and facilitates each group member's contribution.

Enhance by

structure student interaction through scripting

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to provide opportunities to

share learning materials and edit them collaboratively, engaging in

group discussions and giving and receiving peer feedback on the collaborative learning progress

Not only task-related but also positive socio-emotional interactions that are relevant for self-expression

If Personal Goals difference is not rresolved

Affect

Interaction

Motivation

Social masking

This is largely because emotional expressions are
sometimes difficult to capture because of social masking,

To date, relatively few empirical studies have explored both the
types of interaction that emerge when learners collaborate and expressions of emotion in those situations

Capturing

Cognition

Affect

Video

Cognition

Metacognition

Facial

Affective states

Research Questions

1) How do
phase of working and type of interaction relate to simultaneous occurrence of arousal among group members?

2) What types of facial expression (positive, negative, or neutral) are observed when arousal occurs simultaneously among group members?

3) How does regulation
of learning appear during interaction when arousal occurs simultaneously among group members?

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However, the groups mostly
experienced simultaneous arousal during task instructions.
To avoid this anticipation effect, measures of EDA should perhaps be taken into account after the learners have acquired sufficient
information about what they are expected to do.

For the most part, the interaction was low-level in each phase of
working.

One limitation of this study was the small sample size, which hinders generalization which is a result of bad quality of physiological
data.

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The bad quality of the physiological data was due mainly to the
fact that sensors were not attached properly at the beginning of th
study or became loose as the task progressed.e