Results 81 to 90 of about 2,341,143 (329)
Leveraging GenAI for Automated Feedback on Source‐Based Writing: A Three‐Stage Model
Abstract Writing from multiple sources is a critical skill that requires both reading and writing abilities. It involves comprehending and evaluating source texts while synthesizing information across them. Due to these demands, feedback on such writing typically relies on teachers, who must consider the source texts during evaluation.
Danling Li, Kai Guo
wiley +1 more source
GENRE CLASSIFICATION OF PHILOSOPHICAL LITERATURE
Despite the fact that the original philosophy emerged as a practical embodiment of love-pursuit of wisdom, in the framework of modern Western culture it should still be considered as a specific «literary» tradition of knowledge.
O. V. Khlebnikova
doaj
Automatic Genre Classification of Latin Music Using Ensemble of Classifiers [PDF]
This paper presents a novel approach to the task of automatic music genre classification which is based on ensemble learning. Feature vectors are extracted from three 30-second music segments from the beginning, middle and end of each music piece ...
Silla Jr, Carlos N. +2 more
core
Abstract In fostering asset‐based literacy and language teaching in classroom and digital spaces, this study draws on OmoBerry, an educational YouTube channel, to demonstrate how educators can enact culturally inclusive digital multimodal language and literacy instructions with African immigrant youth.
Akinkunmi Oseni, Vaughn W. M. Watson
wiley +1 more source
GenAI‐Assisted Digital Multimodal Composing in TESOL Teacher Education
Abstract This study explored how pre‐service TESOL teachers integrated GenAI tools into a Digital Multimodal Composing (DMC) project, composing a website, at a Hong Kong university. Specifically, it explored their decision‐making and cognitive engagement in the DMC process when they had autonomy in the use of GenAI tools.
Benjamin Luke Moorhouse +2 more
wiley +1 more source
Multimodal Deep Learning for Music Genre Classification
Music genre labels are useful to organize songs, albums, and artists into broader groups that share similar musical characteristics. In this work, an approach to learn and combine multimodal data representations for music genre classification is proposed.
Sergio Oramas +3 more
doaj +1 more source
Teacher Perceptions of GenAI‐Integrated Digital Storytelling for Refugee‐Background Youth
Abstract Digital storytelling (DST), the composing of 2–3 minute first‐person digital multimodal narratives, integrating photographs, video clips, voice‐over, text, and music related to personal experiences, is arguably one of the most powerful forms of digital multimodal composing (DMC).
Amir Michalovich, Shawn Porteous
wiley +1 more source
Abstract This reflective article chronicles a South African English as a Medium of Instruction (EMI) university teacher educator's journey from professional disillusionment toward a more intentional, transformative praxis. The catalyst for this journey was the recurring observation of novice teachers abandoning dialogic, asset‐based pedagogies learned ...
Nhlanhla Mpofu
wiley +1 more source
Music Genre Classification Based on VMD-IWOA-XGBOOST
Music genre classification is significant to users and digital platforms. To enhance the classification accuracy, this study proposes a hybrid model based on VMD-IWOA-XGBOOST for music genre classification.
Rumeijiang Gan +3 more
doaj +1 more source
“The Naming of Cats”: Automated Genre Classification
This paper builds on the work presented at the ECDL 2006 in automated genre classification as a step toward automating metadata extraction from digital documents for ingest into digital repositories such as those run by archives, libraries and eprint ...
Yunhyong Kim, Seamus Ross
doaj +1 more source

