Collaborative Synchronous Hybrid Learning Environments:
Opportunities and Audio/Acoustic Quality Challenges
Héloïse Tudela
1
, Mathieu Serrurier
1
, Nader Mechergui
2,3
, Yannick Brudieux
1
and Mériem Jaïdane
2,3
1
Quietam Studio, 16 rue de l’Hermite, 33520 Bruges, France
2
dB.Sense, Innovation Centre of Tunis El Manar University, 2092 Tunis, Tunisia
3
Signals and Smart Systems Lab., ENIT, Univ. of Tunis el Manar, 2092 Tunis, Tunisia
Keywords: Information Technologies, Collaborative Learning, Synchronous Hybrid Learning, Challenging Acoustic
Environments, Audio Quality.
Abstract: This exploratory study focuses on both pedagogical and technological challenges to anticipate teachers' needs
for information technologies that support a collaborative synchronous hybrid learning environment. This is
based on the OECD's PISA assessment mentioning a decline in students’ academic performances, especially
in problem-solving skills and collaboration, and the growing interest for digital tools dedicated to the learning
environment. Our survey confirmed both the teachers' interest in specific innovative pedagogical scenarios,
made possible by collaborative synchronous hybrid learning environments, and their concern about audio
quality problems, already encountered in classic distance learning situations. This survey is supported by an
"in lab" protocol which explores the technical challenges of audio and acoustic quality associated with two
multi-group scenarios in comparison with the classic scenario. We identified that interfering speech issued
from several speakers who are relatively close to each other and sometimes mobile in the classroom are
creating drastic intelligibility issues that are always more acute for the distant person. The survey revealed
that this form of hybrid learning could lead to specific learning difficulties and fatigue for both students and
teachers, which could be objectively assessed.
1 INTRODUCTION
The recent Covid-19 epidemic and the restrictions
implemented to minimize the spread of the disease
highlighted new challenges, especially in education.
The OECD’s PISA assessment of learning
performances in 2022 revealed an “unprecedented
drop” in scores of assessed countries, showing the
impact of the epidemic on the educational system
(OECD, 2023). More specifically, teachers faced
challenges in the implementation of collaborative
learning, even though those techniques have been
increasingly favoured for its social, academic and
psychological benefits (Laal & Ghodsi, 2012; Marreh
& Velankar, 2024). In 2015, reports from the OECD
already emphasized the importance of developing
students’ “collaborative problem-solving skills and
attitude towards collaboration” (OECD, 2017). The
2022 PISA assessment also highlighted that the
decline in performances began “well before” the
beginning of the pandemic and could indicate a more
systemic issue (OECD, 2023).
To tackle the drop in performances and future
challenges that may occur due to circumstantial
events, companies providing educational resources,
labs and schools need to work together to provide
sustainable tools that support a fundamental
rethinking of teaching and learning.
The European iTEC Innovative Technologies for
Engaging Classrooms project, involving 26 partners
(14 ministries of education, technology providers and
research organisations), was promoting the use of
technology and innovative educational tools to
improve educational performances (Ellis et al., 2015).
This extensive study showed that integrating digital
tools and platforms to the learning environment
improved collaboration and pedagogy for both
students and teachers (Lewin & McNicol, 2015).
Therefore, efforts were made to develop synchronous
hybrid classrooms: students both on-site and remote
could participate and learn simultaneously. Even
512
Tudela, H., Serrurier, M., Mechergui, N., Brudieux, Y. and Jaïdane, M.
Collaborative Synchronous Hybrid Learning Environments: Opportunities and Audio/Acoustic Quality Challenges.
DOI: 10.5220/0013352300003932
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 17th International Conference on Computer Supported Education (CSEDU 2025) - Volume 1, pages 512-520
ISBN: 978-989-758-746-7; ISSN: 2184-5026
Proceedings Copyright © 2025 by SCITEPRESS Science and Technology Publications, Lda.
though synchronous hybrid learning has proved
effective in improving problem-solving skills (Ariani
et al., 2022) as well as students engagement, retention
and communication, a lot of pedagogical and
technologicalchallenges persists (Raes et al., 2020).
The growing interest towards collaborative work
mentioned before incentivised teachers to develop its
practice hybrid synchronous settings. However,
studies showed that available video conference tools
that are not intentionally designed for this purpose
were challenging to use for collaborative hybrid
synchronous work (Glazunova et al., 2023; Ortega-
Arranz et al., 2024; Raes et al., 2020).
The orchestration load, the lack of experience
with digital tools and synchronous hybrid learning
environments, the availability of live interactions
between on-site and remote participants are major
areas of improvements for teachers and students when
faced with these new tools (Carruana Martín et al.,
2023; Racheva & Peytcheva-Forsyth, 2024; Raes et
al., 2020). In addition to these pedagogical
challenges, several studies highlighted the key role of
the audio setting to ensure a successful learning
experience (Detyna et al., 2023; Raes et al., 2020).
These observations lead us to investigate the
pedagogical and technological challenges of
collaborative synchronous hybrid learning. After
describing our approach towards this subject, we
designed an exploratory study structured in 2 parts.
The first part consists of a preliminary survey of
middle and high school teachers in France that aimed
at assessing:
- their insights on synchronous hybrid learning
tools, based on their experience of already
available tools,
- their experience of face-to-face collaborative
group work,
- their perspectives and concerns regarding
pedagogical scenarios made possible by
collaborative synchronous hybrid learning.
The second part was designed based on responses
from the survey mentioning technical challenges of
audio and acoustic quality associated with this
learning environment. The design of dedicated
algorithms to enhance the audio experience required
a standardised -adapted ITU-T- subjective assessment
of speech quality (intelligibility, comfort, etc.)
according to different pedagogic scenarios mentioned
in the survey.
The main objective of this exploratory study is to
anticipate technical and pedagogical concerns as soon
as they are identified in order to co-develop solutions
and tools fitted to teachers’ and students’ needs
regarding collaborative hybrid synchronous learning.
2 BACKGROUND AND
APPROACH
It's interesting to note that as early as 2001, a French
study by GRESEC (Groupe de Recherche sur les
Enjeux de la Communication) pointed out that the
failure of collaborations between suppliers of
distance learning solutions and teachers - customers
of these solutions - was due in particular to
(translation) "the conflict between two logics: the
logic of manufacturers, focused on efficiency (optimal
use of technology) and the logic of users, based on
usefulness for users, particularly in relation to the
needs of learners" (Ologeanu, 2001). Our exploratory
study attempts to approach the problems of
collaborative synchronous hybrid learning from these
2 points of view, while being aware of the difficulty
of jointly conceptualising such an environment.
In order to conceptualise the underlying
constraints and challenges of complex pedagogical
scenarios, it is beneficial to be able to have a
“physical” representation of the situation. For this
purpose, the French company Quietam Studio
(Bordeaux, France) inaugurated in 2023 the
ClassLab, as well as the MAIA online platform
dedicated to synchronous hybrid collaborative
activities. Figure 1 shows a hybrid collaborative
tested configuration of ClassLab.
Figure 1: Conceptualisation of ClassLab.
The ClassLab is composed of 3 unconnected table
islands (foreground), an asynchronous broadcast for
a seated group (right) and 3 connected table islands
for synchronous interaction both face-to-face and
remotely in real time (background). It is the analysis
of this synchronous collaborative configuration that
we focus on here. These equipment allow the study of
real-life pedagogical scenarios and the audio/acoustic
challenges that will need to be resolved on the
Collaborative Synchronous Hybrid Learning Environments: Opportunities and Audio/Acoustic Quality Challenges
513
associated digital platforms. The conceptualisation
needs to be both pedagogical and technical.
Pedagogically, involved parties should bear in
mind that the collaborative problem-solving
competency was defined by PISA as “the capacity of
an individual to effectively engage in a process
whereby two or more agents attempt to solve a
problem by sharing the understanding and effort
required to come to a solution and pooling their
knowledge, skills and efforts to reach that solution”.
Its three collaborative problem-solving associated
skills are establishing and maintaining shared
understanding, taking appropriate action to solve the
problem and establishing and maintaining team
organisation. Those skills have to be considered and
developed in a digital context (OECD, 2017),
therefore, the structure of the exploratory survey
carried out is designed to anticipate the pedagogical
opportunities and technical concerns associated with
this new mode of collaboration, based on teachers'
past experience of face-to-face collaborative practice
and synchronous hybrid learning.
Technically, involved parties must be able to
conceptualise the encountered scenario
schematically, then algorithmically and finally
optimise the integration of algorithms dedicated to
enhancing this new hybrid multi-group collaborative
experience on a digital platform. To do this, we need
to draw inspiration from problems encountered in
traditional video conferencing situations, in order to
design and assemble the associated technological
building blocks. State of the Art 2023 on Audio Signal
Processing in the 21st Century: The important
outcomes of the past 25 years provides an accurate
summary of advances and bottlenecks in
multichannel audio (Richard et al., 2023). However,
the challenges resulting from a collaborative
synchronous hybrid learning environment are
seemingly unprecedented. As in the classic hands-
free video conferencing situation, the main difficulty
lies in this time it's multi-loudspeaker/ multi-
microphone coupling from neighbouring groups.
3 SURVEY
Our survey was designed to explore the practices,
challenges, and perceptions of teachers regarding
collaborative learning and distance education, as well
as their potential combination in hybrid modes.
3.1 Method
After gathering basic demographic and professional
information about the participants, we focused on
assessing how teachers integrate digital technologies
into their distance teaching practices in order to better
understand the level of skill and comfort of teachers
with online teaching. We also asked their feedback on
their use of digital tools, especially the quality of their
teaching experience. Teachers were then questioned
about their use and feedback on collaborative
activities. Finally, we introduced the concept of
collaborative hybrid (a combination of face-to-face
and distance) learning environment and gathered their
perspectives and concerns regarding the
implementation of these methods in their classrooms.
The general objective of the survey is to collect
data to analyse how different practices affect teaching
and learning, identify barriers to their effectiveness,
and evaluate the interest in innovative hybrid
approaches. This study aims at identifying
pedagogical scenarios directly from the source - the
teachers - to design technical solutions directly from
those real-life scenarios. This study could give
insights to further improve educational policies and
teaching practice by promoting a more thoughtful
integration of technologies and collaborative methods
in education.
The exploratory survey was distributed to around
100 teachers between June, 2023 and December 2023
and 26 teachers completed the survey. The survey was
distributed to middle schools and highschools in the
Nouvelle Aquitaine region (France), as well as
professional training organisations and members of
the INSPE (Institut National Supérieur du Professorat
et de l'Éducation). The survey was relayed by
emailing and posts via Linkedin. No benefits or
rewards were offered.
13 men and 13 women responded to the survey.
The vast majority of the respondents teach in French
schools, only 2 teach in Canadian schools. More than
42% of the respondents have been teaching for more
than 20 years, around 23% have 10 to 20 years of
experience teaching, 19% have 3 to 10 years of
experience and around 16% have less than 3 years of
experience. The respondents specialise in very
diverse subjects, from languages to sciences,
technology, management and economy. The
respondents were distributed in 3 groups :
approximately 40% teach in middle school, 26%
teach in highschool and 34% teach in other types of
schools such as professional training schools or in
multiple schools.
CSEDU 2025 - 17th International Conference on Computer Supported Education
514
3.2 Results
The first part of the survey inquires about teachers'
usage of collaborative work in the learning
environment. More than ¾ of the respondents use
collaborative work at least once a month, 40% of
which very regularly (at least once every week).
Learners are presented with diverse activities when
doing collaborative work, such as “thematic studies”,
“bibliographical research” or “problem solving”.
Furthermore, several teachers mention that
collaborative work often results in a specific type of
restitution (“oral/exposé”, “creation of a poster”,
“production of videos”). More than half of the
teachers mainly organise groups of 3 to 5 students.
The majority of teachers surveyed believes that
collaborative work is beneficial for students' learning
and personal development: almost 75% of
respondents believe it improves self-confidence, 87%
believe it improves critical thinking and teamwork,
over 80% believe it improves communication
between students and group cohesion, and more than
half think it is a way to motivate students and avoid
school failure. In general, our survey indicates that
teachers favour the use of collaborative work methods
-including hybrid- for student development,
particularly their attitude towards collaboration.
In order to better understand their needs regarding
digital resources, we focused the second part of the
survey on their experience with those devices. Nearly
65% of the surveyed teachers use digital learning
resources regularly in their classroom. Although the
majority of respondents generally report having had
correct audio and video experiences with the tele-
teaching tools, several recurring problems are raised
by users: more than 40% reported having regular
connection and interruption issues, and half of them
experienced regular latencies. In addition, the
majority have noticed echoes or disturbing and
unwanted noises during video conferences, of which
a quarter regularly. Most mention “ambient noise”
such as an “urban atmosphere” or “keyboard noises”,
interfering words and two responses mention Larsen
effects between several microphones and speakers.
These problems related to the use of current video
conferencing tools generate an extra effort to
understand important messages for almost 42% of
respondents and more than 65% report that their
students regularly raise these concerns during use.
These results reveal that the integration of digital
resources in education raises technical problems,
especially audio quality issues, which are not yet
solved by existing solutions.
Lastly, we wanted to gather the opinion of
teachers regarding collaborative hybrid learning, for
which no software has been specifically developed, to
the extent of our knowledge. Nearly 72% of the
surveyed teachers would like to be able to have hybrid
groups in their classroom if they could, namely
groups composed of remote and on-site students.
Together with the ability to better accommodate
students unable to come to class, they also mention
the ability to create mixed classrooms between
regions or countries or to enable teachers of exotic
subjects to teach several classes, improving the
availability of teachers. However, the teachers that
responded that they would not like this setup mainly
explain that they would struggle managing the remote
students. Only 36% of the surveyed teachers had the
opportunity to test this setup, mainly during the
Covid-19 pandemic. However, 50% of the surveyed
teachers think that these setups could improve
student’s problem-solving skills and nearly 75% think
that it can improve collaboration between students,
while allowing teachers to be more available and
enabling a better integration of remote students in the
class.
3.3 Discussion
Our survey showed that teachers are interested in
developing and acknowledge the benefits of
collaborative learning activities in their class, as
shown in similar studies (Laal & Ghodsi, 2012;
Marreh & Velankar, 2024). It also showed the
growing usage of digital resources in the learning
environment, even though teachers and students still
face technical difficulties when using those resources
(Rafiq et al., 2024).
Interestingly, even though very few teachers
already tried using collaborative hybrid or “blended”
learning environments, their responses show a
positive perspective on these scenarios. These
improvements to group work organisation and
performances were already noted as early as 2006
(Graham, 2006). It could be interesting to confront
these perceptions with students’ perspectives and
measure their performances in an hybrid
collaborative setting.
Another interesting result came from confronting
teachers' experiences of collaborative work with their
concerns regarding hybrid collaborative settings:
only 15% of the surveyed teaches experience
disciplinary issues when setting up collaborative
work, but this number raises to 50% when they are
asked if, in their opinion, setting up an hybrid
collaborative environment could induce disciplinary
Collaborative Synchronous Hybrid Learning Environments: Opportunities and Audio/Acoustic Quality Challenges
515
issues. Moreover, nearly 75% of them think that
setting up this kind of environment could drastically
increase their workload. These results showed us that
hybrid collaborative environments raise both
technical and pedagogical concerns. Those concerns
should be addressed together with involved parties
such as teachers, students, educational facilities but
also companies in order to co-create future tools
adapted to hybrid collaborative learning.
In the survey, teachers identified 3 main coupled
issues when they used video conferencing tools that
could also be raised in a hybrid collaborative setup:
echo, howling (Larsen effect) and both ambient noise
and noise from competing speech sources from
neighbour groups. Thus, solutions to these issues
must be developed in order to adapt digital tools to
their use in blended learning environments:
- Multi-input/multi-output echo cancellation in
neighbouring ilot situations, including teacher
mobility, which induces non-stationarity of the echo
channel. The diversity of echo situations in hands-
free sound systems and their resolution in challenging
contexts is of great economic importance and the
subject of international R&D challenges (Shetu et al.,
2024). The current trend is towards hybrid signal/IA
solutions (see for example (Chen et al., 2021)).
- Early detection and reduction of howling in adjacent
ilot situations. This feedback problem is still under
investigation (Zhang et al., 2023).
- Noise reduction in multi-group situations, where the
ambient noise is made up of ambient noise and
interfering -or concurrent- speech from several
speakers who are relatively close to each other and
sometimes mobile in the classroom. Personalised
speech enhancement methods as speaker diarization
("who speaks and when") are algorithmic solution
paths (Eskimez et al., 2021; Wang et al., 2019).
Following this survey, we decided to focus on
investigating the technical challenges raised by a
hybrid collaborative setting on the audio quality of
digital tools.
A subjective audio and acoustic quality evaluation
protocol was set up in a simplified situation with 2
face-to-face groups, each with its own remote
counterpart. The measurement protocol followed ISO
and ITU-T recommendations (P.800, P.808, P.831) as
far as possible in this unusual situation. In the present
study, we will only show the subjective results
regarding the competing speech issue.
Overall, we noticed that between 20% to 54% of
teachers chose the third level out of five when
responding to questions targeting the potential
1
https://www.itu.int/
advantages of a collaborative hybrid learning
environment (versus 8% to 25% when asked about
collaborative activities only - without the hybrid
setup). We interpreted those results as a struggle to
consider the perspectives and concerns relative to this
kind of learning environment ; emphasising the need
to test real-life scenarios.
4 IMPACT OF HYBRID AND
COLLABORATIVE SCENARIO
ON AUDIO QUALITY
The survey highlighted the impact of the hybrid
situation on audio quality, such as the appearance of
echoes, feedback and environmental noise, which
disrupts intelligibility. To quantify these effects, in
collaborative situation we designed a test protocol
that compares 3 scenarios:
- Scenario 1 classic “L1-D1”: a one to onehands
free audio communication between a local room and
a distant room.
- Scenario 2 multichannel “L2-D2”: with two
simultaneous one to one hands free audio
communication in separate sessions but in the same
local room.
- Scenario 3 multichannel “L2-D1”: where there is a
one to two hands free audio communication
between 2 two persons in the local room with
different devices and 1 person in a distant room.
4.1 Method
The protocol was partially based on the ITU-T
standards
1
such as P831 (1998) standard on
Subjective performance evaluation of network echo
canceller, P.832 (2000) on Subjective evaluation of
hands-free terminal performance, and adapted to
account for our specific hybrid application.
The aim of this study is to focus on the variation
induced by the two multi-group scenarios in
comparison with the classic scenario. We aimed at
understanding the impact of 5 varying parameters that
could influence the audio quality. The parameters are
presented in Table 1.
CSEDU 2025 - 17th International Conference on Computer Supported Education
516
Table 1: Tested parameters for hybrid communication
protocol.
Parameters Definition 2 levels of
variation
Echo path
Variation of echo
path: simulation
of a teacher
moving between
groups or steady
in a position
V1: steady position
V2: path with
continuous
variation (from
point A to B)
Communication
system distance
Distance between
communication
systems specific
to L2-D2 and L2-
D1 scenarios
V1: distance 1
V2 : distance 2
Speaker voice
level
Speaker voice
level translated
into: low voice,
normal voice,
forced voice
V1: normal voice
V2 : forced voice
Type of
communication
Monologue or
conversational
situation
V1: single remote
speech
V2 : double remote
speech
Multi-group
communication
in local
Interfering
speech in the
classroom
V1: single local
speech
V2: local speech
and interfering
speech from
nei
g
hbourin
g
g
rou
p
The number of tests for each scenario was:
- L1-D1 classic scenario : 8 test conditions
- L2-D2 and L2-D1 multi-channel scenarios: initially
32 (2^5) test conditions each, but we reduce it to 16,
(2^((5-1) )) each, using a fractional factorial design
approach to estimate the main effects.
For each test condition, 1 to 4 sentences
(phonetically balanced) were used by test
participants. These lists of sentences were taken from
the Combescure and Fournier sentence lists, as well
as the phonetically-balanced HINT test sentences
used in subjective testing, particularly in vocal
audiometry by audiologists (see for example (Chevret
et al., 2012)). In total 310 sentences were used and
mixed so that test subjects only hear the sentences
once in the same scenario.
Finally, test subjects were asked to answer 8
questions Q.i (in French) related to communication
quality for each condition test using ITU-T P.835
standard forsubjective test methodology for
evaluating speech communication systems that
include noise suppression algorithms”:
Q.1: What is your opinion of the connection you have
just used? [5] Excellent [4] Good [3] Fair [2] Poor [1]
Bad
Q.2: Did you experience any difficulties speaking or
listening in this connection? [5] Very strong [4]
Important [3] Medium [2] Small [1] None
Q.3: How would you rate the quality of
communication?
[0] Inacceptable [1] Acceptable
Q.4: How would you rate the degradation caused by
the echo of your own voice?
[5] Imperceptible [4] Perceptible, but not annoying
[3] Slightly annoying [2] Annoying [1] Very annoying
Q.5: How would you rate the other degradations
(truncation, various noises, etc.)?
[5] Imperceptible [4] Perceptible, but not annoying
[3] Slightly annoying [2] Annoying [1] Very annoying
Q.6: How do you find the voice of the person you are
speaking to? [0] Not natural [1] Natural
Q.7: How would you rate the overall sound quality of
the communication?
[5] Excellent [4] Good [3] Fair [2] Poor [1] Bad
Q.8: How would you rate the listening effort required
to understand the message? [5] Absolute relaxation:
no effort [4] Attention required; no appreciable effort
[3] Moderate effort [2] Considerable effort [1]
Meaning incomprehensible despite every possible
effort
The scenario L1-D1 was repeated 3 times with
different persons (6 test subjects in total) and L2-D2
and L2-D1 scenarios were performed once. In total 10
naive test subjects participated in the protocol and all
have signed a consent agreement for using test results
for research purposes.
4.2 Results and Discussion
Firstly, we compared the quality perceived by people
in the different rooms: local and distant. Table 2
shows the average subjective scores on all the test
conditions for each question, Q1 to Q8 for each
scenario (more details are available in (Brudieux et
al., 2024)).
Table 2 shows that the overall quality deteriorates
in L2-D2 and L1-D1 scenarios compared to the
classic L1-D1 scenario, with unacceptable
communication reported in the L2-D1 situation. For
example, the overall sound quality of the
communication decreased from excellent for L1-D1
to fair and poor for respectively L2-D2 and L2-D1 in
the local room.
Collaborative Synchronous Hybrid Learning Environments: Opportunities and Audio/Acoustic Quality Challenges
517
Table 2: Subjective evaluation of audio communication
quality by test subjects in local and distant room for the
scenarios L1-D1, L2-D2 and L2-D1.
Q.
Num
Subjective Evaluation
in distant room
Subjective Evaluation
in local room
L1-
D1
L2-
D2
L2-
D1
L1-
D1
L2-
D2
L2-
D1
Q.1 4.25 4.06 2.92 5 4.43 3.17
Q.2 1.62 2.28 2.85 1.16 1.59 3.71
Q.3 0.91 0.71 0.71 1 0.81 0.32
Q.4 4.87 4.90 4.57 5 5 2.85
Q.5 4.37 3.21 3.07 4.83 3.63 2
Q.6 0.87 0.87 1 1 1 0.5
Q.7 3.91 3.09 3.14 5 3.78 2
Q.8 4.12 3.03 3.28 4.75 4.09 2.03
We further analysed the effect of interfering speech
by specifically extracting subjective quality measures
from the protocol to compare the situation with and
without interfering speech for the 3 questions Q2, Q7
and Q8 in both the local and distant rooms as shown
in figure 2.
Figure 2: Subjective evaluation of audio communication
quality in local and distant rooms for the scenario L2-D2
with/without interfering speech.
The overall results were consistent with a degradation
of the audio quality by interfering speech as measured
in:
(Q2) Speaking and listening difficulties are greater,
(Q7) The overall sound quality of communication is
poorer,
(Q8) The listening effort required to understand the
message is greater.
Interestingly, the degradation of the audio quality
and intelligibility seemed to always be more acute for
the distant person. This can be explained by the fact
that the communication arriving at the remote user is
in mono compared to the local speakers: the signal is
composed of a mixture of all interfering and useful
speech signals, and the user will therefore not be able
to use spatial cues to differentiate the two speech
streams. This result is especially significant, as it
indicates the need for the development of a specific
noise reduction system inside digital tools to reduce
the impact of interfering speech.
Furthermore, in the in-lab situation tested, there
was only one interfering speech stream (from the only
neighbouring group). According to the survey, in
face-to-face group work, teachers usually work with
either groups of 2 students (32%), or groups of
between 3 and 5 students (42%). These issues are thus
likely to be worse in those setups, or setups with more
than two groups, compared to the simplified version
tested in this study. Studies and challenges have
already identified the difficulties of untangling
speech signals and are focused on solving this
specific issue (Cutler et al., 2021).
5 CONCLUSION
This study on anticipating teachers' needs for
Information Technologies to support a collaborative
synchronous hybrid learning environment confirmed:
- teachers' interest in specific innovative pedagogical
scenarios made possible,
- their concern about the extra preparation and
handling workload.
Specifically, the technical concerns regarding the
audio quality were confirmed by subjective in-lab
protocols in simplified situations. Those were
identified to be due to the specific loudspeaker/
microphone acoustic couplings between groups
inherent to the collaborative environment. There is a
pressing need to focus algorithmically on the drastic
audio quality degradation caused by interfering
speech from neighbouring groups, which disturbs
distant speakers in a given group (for more details,
see (Brudieux et al., 2024)).
Verdel (translation) stated that “there is a growing
awareness of the importance of learning spaces,
combining a desire for modularity and diversified use
of digital tools(Verdel, 2023) thus encouraging the
early identification of technical obstacles that may
hinder the development of innovative digital tools
dedicated to the learning environment.
Our study could benefit from gathering more
teachers’ and students’ feedback, investigating further
the pedagogical scenario “in vivo” and test the
robustness of a hybrid passive/algorithmic solutions
in different class configurations: table arrangement in
islands, use passive insulation panels, number of
groups and number of students per group, ...
Innovative technologies exist to solve some of the
problems encountered in audio quality, such as the
creation of speech zones with self-distributed
CSEDU 2025 - 17th International Conference on Computer Supported Education
518
acoustic swarms (Itani et al., 2023). However, the
scenario of these studies does not correspond to low-
cost algorithmic solutions for democratisation of
collaborative synchronous hybrid learning in schools.
These hybrid collaborative educational scenarios
generate algorithmic solutions that must
automatically adapt to the classroom configuration.
We can reduce the complexity of algorithms, while
improving their robustness, through common sense
solutions: recommendations for modular passive
isolation of groups and classroom behaviour charter,
as specified in the standards for acoustic quality and
comfort in open office spaces
2
.
We are aware that the next step is to provide more
theoretical contributions relating to the impact of
these news educational scenarios implemented.
Our survey also highlighted the concern for an
increased fatigue caused by noisy learning
environments and extensive digital tools usage:
nearly 75% of teachers agreed that poor audio quality
combined with the ambient sound inherent to the
collaborative activities could contribute to students
fatigue and lack of involvement. For both
pedagogical and technical reasons, it is of significant
importance that companies and researchers continue
to quantify the effects of collaborative synchronous
hybrid learning on the potential fatigue of students.
This increased mental load has been raised by the
French Senate
3
and has been objectified on adults by
EEG measurements carried out by Microsoft on the
Microsoft Teams software
4
. The ZEF scale (Zoom
Exhaustion & Fatigue Scale), validated on a large
scale with adults, seems promising to evaluate the
fatigue of students (Fauville et al., 2021). The scale
was designed to measure the exhaustion and fatigue
felt by users of videoconferencing, caused by intense
visual and close-up contact, reduced mobility, a
higher cognitive and emotional load than in face-to-
face situations, and vocal fatigue. The auditory
fatigue could be integrated into the ZEF scale and
tested on a population of learners.
Altogether, this study emphasises the need for the
development of tools dedicated to hybrid
collaborative learning environments, co-developed
by teachers, educational facilities, software
companies and equipment providers.
2
ISO 22955:2021 Acoustic quality of open office spaces.
3
www.senat.fr/rap/r21-259/r21-2591.pdf
ACKNOWLEDGEMENTS
We would like to thank all the participants who
contributed to the creation of the questionnaire, the
animation of the experimental sessions and the
creation of the educational test sequences: Stéphane
Brunel, PhD AdT at INSPE, Lilian Champroy,
Charline Waliyar, teacher at Michel Ragon middle
school (Montaigu, France), and Pascal Rey one of the
teachers of the final class from the Vaclav Havel High
School (Bègles, France).
CONFLICTS OF INTEREST
HT, MS and YB report personal fees from Quietam
Studio as employees, during the conduct of the study.
REFERENCES
Ariani, D., Sumantri, S., Wibowo, F., & Batubara, H. (2022,
mai 8). A Study Examining The Impact of Combining A
Synchronous Hybrid Learning Strategy With Inquiry-
based Learning on Mathematics Problem Solving. The
3rd International Seminar on Education and Human
Technology (ISEHT) 2022, Semarang.
Brudieux, Y., Mechergui, N., Serrurier, M., & Jaïdane, M.
(2024). Verrous technologiques: Qualité audio et
acoustique en mode collaboratif hybride multiflux
[Internal report]. Quietam R&D Department.
Carruana Martín, A., Alario-Hoyos, C., Martínez-Monés,
A., & Delgado Kloos, C. (2023). Analysis of
Orchestration Load and Teacher Agency in Smart
Synchronous Hybrid Learning Environment.
https://doi.org/10.20944/preprints202307.0441.v1
Chen, H., Chen, G., Chen, K., & Lu, J. (2021). Nonlinear
residual echo suppression based on dual-stream
DPRNN. EURASIP Journal on Audio, Speech, and
Music Processing, 2021(1), 35.
https://doi.org/10.1186/s13636-021-00221-8
Chevret, P., Ebissou, A., & Parizet, E. (2012). Evaluation of
speech intelligibility in open-plan offices. 41
st
International Congress and Exposition on Noise
Control Engineering 2012, INTER-NOISE 2012, 10.
Cutler, R., Saabas, A., Parnamaa, T., Loide, M., Sootla, S.,
Purin, M., Gamper, H., Braun, S., Sorensen, K.,
Aichner, R., & Srinivasan, S. (2021). INTERSPEECH
2021 Acoustic Echo Cancellation Challenge. 4748-
4752. https://doi.org/10.21437/Interspeech.2021-1870
Detyna, M., Sanchez-Pizani, R., Giampietro, V., Dommett,
E. J., & Dyer, K. (2023). Hybrid flexible (HyFlex)
teaching and learning : Climbing the mountain of
implementation challenges for synchronous online and
4
www.microsoft.com/en-us/worklab/work-trend-index/
Collaborative Synchronous Hybrid Learning Environments: Opportunities and Audio/Acoustic Quality Challenges
519
face-to-face seminars during a pandemic. Learning
Environments Research, 26(1), 145-159.
https://doi.org/10.1007/s10984-022-09408-y
Ellis, W. J. R., Blamire, R., & Van Assche, F. (2015).
Innovative Technologies for an Engaging Classroom
(iTEC). In F. Van Assche, L. Anido, D. Griffiths, C.
Lewin, & S. McNicol (Éds.), Re-engineering the
Uptake of ICT in Schools (p. 1-15). Springer
International Publishing. https://doi.org/10.1007/978-
3-319-19366-3_1
Eskimez, S. E., Yoshioka, T., Wang, H., Wang, X., Chen, Z.,
& Huang, X. (2021). Personalized Speech
Enhancement: New Models and Comprehensive
Evaluation (arXiv:2110.09625). arXiv.
https://doi.org/10.48550/arXiv.2110.09625
Fauville, G., Luo, M., Queiroz, A. C. M., Bailenson, J. N.,
& Hancock, J. (2021). Zoom Exhaustion & Fatigue
Scale. Computers in Human Behavior Reports, 4,
100119. https://doi.org/10.1016/j.chbr.2021.100119
Glazunova, O., Korolchuk, V., Voloshyna, T., & Saiapina,
T. (2023). Evaluation of Microsoft Teams as a Tool for
synchronous Interaction during Distance and Hybrid
Learning. Open Educational E-Environment of Modern
University, 1-11. https://doi.org/10.28925/2414-
0325.2023.141
Graham, C. (2006). Blended learning systems: Definition,
current trends, and future directions (p. 3-21).
Laal, M., & Ghodsi, S. M. (2012). Benefits of collaborative
learning. Procedia - Social and Behavioral Sciences,
31, 486-490.
https://doi.org/10.1016/j.sbspro.2011.12.091
Lewin, C., & McNicol, S. (2015). The Impact and Potential
of iTEC : Evidence from Large-Scale Validation in
School Classrooms. In F. Van Assche, L. Anido, D.
Griffiths, C. Lewin, & S. McNicol (Éds.), Re-
engineering the Uptake of ICT in Schools (p. 163-186).
Springer International Publishing.
https://doi.org/10.1007/978-3-319-19366-3_9
Marreh, S., & Velankar, Y. P. (2024). Recent trends in
collaborative learning : A systematic review and
analysis. International Journal of Evaluation and
Research in Education (IJERE), 13(4), Article 4.
https://doi.org/10.11591/ijere.v13i4.28501
OECD. (2017). PISA 2015 Results (Volume V):
Collaborative Problem Solving. Organisation for
Economic Co-operation and Development.
https://www.oecd-ilibrary.org/education/pisa-2015-
results-volume-v_9789264285521-en
OECD. (2023). The state of learning and equity in
education in 2022. Organisation for Economic Co-
operation and Development. https://www.oecd-
ilibrary.org/content/component/799d7d80-en
Ologeanu, R. (2001). Visioconférence dans l’enseignement
supérieur : Expérimentations et usages. Les Enjeux de
l’information et de la communication, 2001, 70.
https://doi.org/10.3917/enic.001.0071
Ortega-Arranz, A., Amarasinghe, I., Martínez-Monés, A.,
Asensio-Pérez, J. I., Dimitriadis, Y., Corrales-
Astorgano, M., & Hernández-Leo, D. (2024).
Collaborative activities in hybrid learning
environments : Exploring teacher orchestration load
and students’ perceptions.
Computers & Education,
219, 105105.
https://doi.org/10.1016/j.compedu.2024.105105
Racheva, V., & Peytcheva-Forsyth, R. (2024). Navigating
the Future: Exploring Synchronous Hybrid Learning in
Higher Education Post-Covid (p. 6345).
https://doi.org/10.21125/inted.2024.1661
Raes, A., Detienne, L., Windey, I., & Depaepe, F. (2020). A
systematic literature review on synchronous hybrid
learning : Gaps identified. Learning Environments
Research, 23. https://doi.org/10.1007/s10984-019-
09303-z
Rafiq, S., Iqbal, S., & Afzal, D. (2024). The Impact of
Digital Tools and Online Learning Platforms on Higher
Education Learning Outcomes.
Richard, G., Smaragdis, P., Gannot, S., Naylor, P. A.,
Makino, S., Kellermann, W., & Sugiyama, A. (2023).
Audio Signal Processing in the 21st Century : The
important outcomes of the past 25 years. IEEE Signal
Processing Magazine, 40(5), 12-26. IEEE Signal
Processing Magazine.
https://doi.org/10.1109/MSP.2023.3276171
Shetu, S. S., Desiraju, N. K., Aponte, J. M. M., Habets, E.
A. P., & Mabande, E. (2024). A Hybrid Approach for
Low-Complexity Joint Acoustic Echo and Noise
Reduction (arXiv:2408.15746). arXiv.
http://arxiv.org/abs/2408.15746
Verdel, H. (2023). Interactions entre environnements
numériques et environnements physiques dédiés aux
apprentissages [Doctoral thesis, Université de
Lorraine]. https://theses.fr/2023LORR0355
Wang, Q., Sheth, Y., Moreno, I. L., & Wan, L. (2019).
Speaker diarization using an end-to-end model (World
Intellectual Property Organization Brevet
WO2019209569A1).
https://patents.google.com/patent/WO2019209569A1/
en
Zhang, H., Yu, M., & Yu, D. (2023). Deep AHS : A Deep
Learning Approach to Acoustic Howling Suppression.
https://doi.org/10.48550/arXiv.2302.09252
CSEDU 2025 - 17th International Conference on Computer Supported Education
520