4.1.4 Resource Development and Evaluation
School
Pay close attention to the development of multimodal
learning resources and the construction of evaluation
criteria. "Discussed various resource forms of digital
multimodality in language learning in *Digital
Multimodalities in Language Learning*, providing a
theoretical basis and practical case references for
resource development" (Baranova, Zaitsev &
Makarova, 2022). At the same time, different scholars
hold different views on resource evaluation criteria.
For example, "Emphasized the teaching adaptability
and interactivity of resources in *Multimodal
Communication in the Language Classroom*,
believing that resources should be flexibly adjusted
according to teaching goals and learners' needs, and
promote interaction and communication between
teachers and students, and among students" (Dofs,
2023). Some scholars who study the application of
virtual reality and augmented reality technologies in
multimodal learning resources focus on the
technological innovation of resources, believing that
novel technological means can enhance the learning
experience and effect.
4.1.5 Teaching Strategy Research School
Devote themselves to verifying the effectiveness of
multimodal teaching strategies. "Conducted a review
study on the role of multimodal input in the
development of second-language oral skills, and
found that different multimodal input strategies (such
as picture-first-then-text, audio-first-then-video, etc.)
have different impacts on the improvement of
learners' oral ability" (Guichon & Cohen, 2023).
"Studied the impact of multimodal annotations on
second-language incidental vocabulary learning and
oral performance, and the results showed that
appropriate multimodal annotations (such as picture
annotations, audio annotations, etc.) can help learners
better understand and remember vocabulary, and then
improve the accuracy and richness of oral expression"
(Tseng & Sheu, 2023). "Comprehensively evaluated
the effectiveness of multimodal teaching on second-
language oral skills using meta-analysis methods, and
found that the teaching strategy of combining
multimodal input and output is significantly effective
in improving oral fluency", providing strong data
support for the selection of teaching strategies (Yuan
& Wang, 2024).
4.1.6 Technology Integration and
Innovation School
Actively explore the innovative integration and
application path of new technologies and multimodal
oral teaching. "Conducted a case study on the
integration of multimodal technology and task-based
language teaching. Integrated new technologies such
as virtual reality and artificial intelligence into task-
based teaching. Through creating real-task scenarios
(such as simulated business negotiations, travel
exchanges, etc.), learners used multimodal resources
for communication and cooperation during the task-
completion process, significantly improving their oral
communication ability" (Zhang & Zhang, 2024).
"Conducted a qualitative study on learners'
perceptions and experiences of multimodal learning
in second-language oral classrooms, and found that
learners have a relatively high acceptance of the
integration of new technologies into multimodal
teaching, but there are also some difficulties in
technology use and adaptation problems due to
individual differences", providing a direction and
basis for further optimizing technology integration
(Zhao & Liu, 2024).
4.2 Research Development Context
The research on multimodal technology in second-
language teaching shows phased characteristics. In
the early stage, the research on the newly emerging
multimodal technology focused on the feasibility and
potential impact of its integration with the traditional
model.
With the changes in information technology and
educational concepts, the focus has shifted to aspects
such as multimodal discourse design, the impact of
media on learning behaviors, and modal switching
mechanisms. For example, when designing discourse,
modal elements are selected and combined according
to teaching goals and learner characteristics. When
studying the impact of media, the effects of different
media on attention, interest, and strategy selection are
analyzed. The research on modal switching
mechanisms explores the psychological and cognitive
laws of information conversion and connection.
In recent years, with the prominent demand for
educational personalization, the research focus has
expanded to individual differences and personalized
teaching. Attention is paid to the performance
differences of different learners in a multimodal
environment, and efforts are made to explore the
customization of personalized teaching programs to
achieve accurate and efficient teaching results.