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Mengjiao Yin; Hengshan Cao; Zuhong Yu; Xianyu Pan – International Journal of Web-Based Learning and Teaching Technologies, 2024
This study presents the Academic Investment Model (AIM) as a novel approach to predicting student academic performance by incorporating learning styles as a predictive feature. Utilizing data from 138 Marketing students across China, the research employs a combination of machine learning clustering methods and manual feature engineering through a…
Descriptors: Predictor Variables, Artificial Intelligence, Performance, Cluster Grouping
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Chenghao Wang; Xueyun Li – International Journal of Computer-Assisted Language Learning and Teaching, 2025
D-ID Creative Reality Studio (D-ID) is a platform for creating Artificial Intelligence (AI) presenter (digital human) videos, translating videos, and designing conversational agents. D-ID seamlessly integrates deep-learning face animation technology, large language models (LLMs), natural language processing (NLP), and speech synthesis and…
Descriptors: Artificial Intelligence, Design, Video Technology, Animation
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Troussas, Christos; Chrysafiadi, Konstantina; Virvou, Maria – Education and Information Technologies, 2021
Personalized computer-based tutoring demands learning systems and applications that identify and keep personal characteristics and features for each individual learner. This is achieved by the technology of student modeling. One prevalent technique of student modeling is stereotypes. Furthermore, individuals differ in how they learn. So, the way…
Descriptors: Individualized Instruction, Intelligent Tutoring Systems, Cognitive Style, Stereotypes
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Halil Tas; Muhammet Baki Minaz – SAGE Open, 2024
Today, individuals should adapt themselves to the rapidly changing and developing information age and have learning skills. It is only possible by adopting new approaches and strategies instead of traditional teaching methods and techniques. Different learning and teaching approaches are characterized by various methods and designs, such as…
Descriptors: Social Studies, Learning Modalities, Learning Activities, Academic Achievement
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Debra Coffey – Journal of Invitational Theory and Practice, 2025
Invitational Education and literature circles elevated learning in this longitudinal qualitative study as undergraduate teacher candidates collaborated on digital projects. Multimodal instruction promoted innovative collaboration to lift learning and success to new levels in a university methods course. Through an intentionally inviting…
Descriptors: Cooperative Learning, Educational Theories, Educational Practices, Preservice Teachers
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Sridharan, Shwetha; Saravanan, Deepti; Srinivasan, Akshaya Kesarimangalam; Murugan, Brindha – Education and Information Technologies, 2021
There exist numerous resources online to gain the desired level of knowledge on any topic. However, this complicates the process of selecting the most appropriate resources. Every learner differs in terms of their learning speed, proficiency, and preferred mode of learning. This paper develops an adaptive learning management system to tackle this…
Descriptors: Integrated Learning Systems, Computer Assisted Instruction, Individualized Instruction, Learning Analytics
Fulbeck, E.; Seidel, D.; Atchison, D.; Giffin, J. – American Institutes for Research, 2020
With the start of the school year, educators are looking for instructional strategies that can be adapted for both in-person or virtual instruction at any moment due to the persistent and unpredictable school closures in responses to the COVID-19 pandemic. It is important that these strategies be able to meet every student's individual learning…
Descriptors: Individualized Instruction, Learning Modalities, Teaching Methods, Learning Centers (Classroom)
Fulbeck, Eleanor; Atchison, Drew; Giffin, Jessica; Seidel, Dorothy; Eccleston, Megan – American Institutes for Research, 2020
AIR researchers conducted a descriptive study of station rotation. The study described what station rotation looks like in classrooms, examined perspectives about station rotation, and explored student learning associated with station rotation. AIR researchers found that teachers and principals had positive perceptions of station rotation.…
Descriptors: Individualized Instruction, Learning Modalities, Teaching Methods, Learning Centers (Classroom)
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Wininger, Steven R.; Redifer, Jenni L.; Norman, Antony D.; Ryle, Mary K. – Psychology Learning and Teaching, 2019
The role of learning styles in the classroom remains a heavily debated topic within education. Notable problems with using learning styles to inform classroom instruction include a lack of empirical support and potential negative effects on student learning and motivation. This content analysis focused on the presence and quantity of learning…
Descriptors: Incidence, Cognitive Style, Educational Psychology, Textbook Content
Leslie Barger – ProQuest LLC, 2024
The perceptions of Tennessee educators who successfully implemented blended learning in their classrooms were the main focus of this phenomenological study. Blended learning is a modality that uses stations which consist of a teacher-led station, an online station, and an off-line station. Teachers work in small groups with students while others…
Descriptors: Teacher Attitudes, School Districts, Blended Learning, Teaching Methods
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Rusen Meylani; Gary G. Bitter – International Society for Technology, Education, and Science, 2023
The "App-Generation" the present student population that grew up in a world of digital technology and mobile apps faces obstacles explored in this article. It explores their traits, such as multitasking, limited attention spans, and technology fluency, and how these affect their involvement in and experiences with learning. The article…
Descriptors: Academic Achievement, High Achievement, Individual Characteristics, Student Projects
Pelletier, Kathe; Robert, Jenay; Muscanell, Nicole; McCormack, Mark; Reeves, Jamie; Arbino, Nichole; Grajek, Susan – EDUCAUSE, 2023
Artificial intelligence (AI) has taken the world by storm, with new AI-powered tools such as ChatGPT opening up new opportunities in higher education for content creation, communication, and learning, while also raising new concerns about the misuses and overreach of technology. Our shared humanity has also become a key focal point within higher…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Trends, Higher Education
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Chen, Deborah; Dote-Kwan, Jamie – Young Exceptional Children, 2021
Approximately 65% of young children with visual impairments have another disability such as developmental delay, cerebral palsy, or hearing loss. Furthermore, cerebral/cortical visual impairment is the most prevalent visual condition among young children with severe visual impairment in the United States (Hatton et al., 2013). This article…
Descriptors: Preschool Children, Visual Impairments, Comorbidity, Access to Education
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Cavaleri, Michelle; Kawaguchi, Satomi; Di Biase, Bruno; Power, Clare – Journal of University Teaching and Learning Practice, 2019
Providing effective, high quality feedback that students engage with remains an important issue in higher education today, particularly in the context of academic language support where feedback helps socialise students to academic writing practices. Technology-enhanced feedback, such as audio and video feedback, is becoming more widely used, and…
Descriptors: Feedback (Response), Audio Equipment, Academic Language, Video Technology
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Beemer, Joshua; Spoon, Kelly; Fan, Juanjuan; Stronach, Jeanne; Frazee, James P.; Bohonak, Andrew J.; Levine, Richard A. – Journal of Statistics Education, 2018
Estimating the efficacy of different instructional modalities, techniques, and interventions is challenging because teaching style covaries with instructor, and the typical student only takes a course once. We introduce the individualized treatment effect (ITE) from analyses of personalized medicine as a means to quantify individual student…
Descriptors: Learning Modalities, Academic Achievement, Intervention, Educational Research
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