Memetized Learning: How Humor-Infused Stories Can Engage Geography Students in the Digital Age by Kudzayi Savious Tarisayi

“…When done well, memetized stories provide a visual and humorous means for students to learn geography concepts through interaction with visual media, aligning with multimodal learning approaches. This study provides valuable insights into the potential benefits and drawbacks of incorporating memetized stories into the geography curriculum. …”
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Tactile Object Recognition for Humanoid Robots Using New Designed Piezoresistive Tactile Sensor and DCNN by Somchai Pohtongkam, Jakkree Srinonchat

“…However, using the multimodal learning method that included InceptionResNetV2 and XceptionNet, the highest recognition rate of 92.73% was achieved. …”
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A data and knowledge-jointly driven multimodal intelligent system for enterprise culture assessment by Ruihong Cao

“…By studying the key issues, logical path and implementation path of multimodal learning emotion analysis in campus culture, this paper reveals the mechanism of student emotion development from the perspective of campus culture, expands the intervention practice of student group emotion, and provides technical support and action guidance for after-school teaching and research on campus culture.…”
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Effects of Audiovisual Memory Cues on Working Memory Recall by Hilary C. Pearson, Jonathan M. P. Wilbiks

“…Previous studies have focused on topics such as multimodal integration and object discrimination, but there is limited research on the effect of multimodal learning in memory. Perceptual studies have shown facilitative effects of multimodal stimuli for learning; the current study aims to determine whether this effect persists with memory cues. …”
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Investigating Adolescents’ Participation Trajectories in a Collaborative Multimodal Composing Learning Environment by Shiyan Jiang

“…These insights shed light on broadening participation in other multimodal learning settings.…”
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Sequential fusion of facial appearance and dynamics for depression recognition by Chen, Qian, Chaturvedi, Iti, Ji, Shaoxiong, Cambria, Erik

“…For mining the correlated and complementary depression patterns in multimodal learning, a chained-fusion mechanism is introduced to jointly learn facial appearance and dynamics in a unified framework. …”
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Multimodal inquiry learning framework in meaning-making of the concept of force. by Shahari, Shariza, Phang, Fatin Aliah

“…Learning that involves verbal and non-verbal communication is a common feature of multimodal learning. While inquiry learning uses various modes of communication including verbal, visual, pictorial, graphic, and text is called multimodal inquiry learning. …”
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Reexamining feedback on L2 digital writing by Idoia Elola, Ana Oskoz

“…Notwithstanding the increasing presence of L2 multimodal learning tasks, which combine different semiotic resources (e.g., language and visual components such as images or videos) as intrinsic elements used to generate meaning, instructors have not yet modified the way in which they provide feedback. …”
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A dataset for medical instructional video classification and question answering by Deepak Gupta, Kush Attal, Dina Demner-Fushman

“…We have also benchmarked each task with the created MedVidCL and MedVidQA datasets and propose the multimodal learning methods that set competitive baselines for future research.…”
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RenderFi: human pose rendering via wireless signals by Huang, Runxi

“…To overcome these limitations, we introduce RenderFi, an end-to-end, multi-task, multimodal learning framework that integrates wireless signals and image-derived SMPL parameters to enhance cross-modal supervision. …”
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Multimodal Instruction and Mentor-Tutoring in an Intensive English Program by Shih-ping Wang, Yih-Lan Chen, Wen-Ta Tseng

“…This aspect underscores the creation of a multimodal learning context with an optimal interplay among mentors, tutors, instructors, and students.…”
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An Exploration of How Multimodally Designed Teaching and the Creation of Digital Animations can Contribute to Six-Year-Olds’ Meaning Making in Chemistry by Emelie Patron, Marina Wernholm, Kristina Danielsson, Hanna Palmér, Andreas Ebbelind

“…The analyzed data were generated by filming when pupils participated in multimodal learning activities, created digital animations, and participated in meta-reflective discussions regarding their digital animations. …”
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Penerapan Multirepresentasi Pada Pembelajaran Inkuiri Terbimbing Terhadap Penguasaan Konsep Dari Gaya Belajar by Indah Safitri, Ida Kaniawati, Heni Rusnayati

“…The gain value obtained by students with kinesthetic learning style is greater than students who have visual, aural, read/write, and multimodal learning style, with a value of 0.584 in medium category. …”
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Determining Students Preferred Learning Styles, Revisited as A Need of Today by Atteaya Zaman , Lubna Rani Faysal , Saima Mumtaz , Aqsa Malik , Yasir Iqbal , Tehmina Qamar

“…About 63% students preferred multimodal learning style while among the students preferred unimodal learning style, the predominant learning style identified was kinesthetic (34%),followed by auditory (15%) and visual (12%) and lastly read-write (8%). …”
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Contextualising Learning Analytics with Classroom Observations: A Case study by Maka Eradze, María Jesús Rodríguez-Triana, Nikola Milikic, Mart Laanpere, Kairit Tammets

“…At the same time, to gain more insights, the LA data can be complemented with the data coming from physical spaces enabling Multimodal Learning Analytics (MMLA). To interpret this data, theoretical grounding or contextual information is needed. …”
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What can multimodal data tell us about online synchronous training: Learning outcomes and engagement of in-service teachers by Jun Xiao, Zhujun Jiang, Lamei Wang, Tianzhen Yu

“…This paper introduces a multimodal learning analytics approach that uses data on brain waves, eye movements and facial expressions to predict in-service teachers’ engagement and learning outcomes in online synchronous training. …”
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Using the DiCoT framework for integrated multimodal analysis in mixed-reality training environments by Caleb Vatral, Gautam Biswas, Clayton Cohn, Eduardo Davalos, Naveeduddin Mohammed

“…In this work, we propose and develop the application of multimodal learning analysis techniques to SBT scenarios. …”
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Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input by Harwath, David F., Recasens, Adria, Suris Coll-Vinent, Didac, Chuang, Galen, Torralba, Antonio, Glass, James R

“…Keywords: vision and language; sound; speech; convolutional networks; multimodal learning; unsupervised learning…”
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Data protection with unlearnable examples by Ma, Xiaoyu

“…This project explores the extension of UE techniques to multimodal learning environments, addressing the unique challenges posed by these datasets. …”
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Evaluation of healthcare science student learning styles based VARK analysis technique by Kamal, Izdihar, Abdul Karim, Muhammad Khalis, Awang Kechik, Mohd Mustafa, Ni, Xinni, Abdul Razak, Hairil Rashmizal

“…The auditory and kinesthetic methods of learning were less and accounted for 10% to 20%. Notably, in multimodal learning styles preferences, 4% of students prefer a combination learning style of visual and kinesthetic methods. …”
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