Optimize Student Learning via Random Forest-Based Adaptive Narrative Game

Hare, Ryan; Tang, Ying; Cui, Wei; Liang, Joleen

doi:10.1109/case48305.2020.9217020

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…Additionally, learning styles of the learner [57], dynamic learning preferences, motivation states, learners preferences, and capabilities [53] are insightful for the intervention later on. Moreover, self-assessment quiz-questions and confidence in their answer [58] provide insights into pre-existing knowledge [53,47,51,57]. Data on the frequency of use and duration of use or question answering and task difficulty are also informative [47].…”

Section: Use Case 3: Individualized Tutoringmentioning

confidence: 99%

“…Further, the Bayesian knowledge tracing model can access learner's knowledge and knowledge gain too but also incorporates the decay of knowledge over time [61]. The random forest classifier can estimate the knowledge of learners at a low cost of training and is relatively stable [58]. Also, deep adaptive resonance theory networks combined with development learning networks can handle the learner status, learning preference, and the learner experience [52].…”

Section: Use Case 3: Individualized Tutoringmentioning

confidence: 99%

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Learn Smarter, Not Harder – Exploring the Development of Learning Analytics Use Cases to Create Tailor-Made Online Learning Experiences

Ritz¹,

Grueneke²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Our world is significantly shaped by digitalization, fostering new opportunities for technology-mediated learning. Therefore, massive amounts of knowledge become available online. However, concurrently these formats entail less interaction and guidance from lecturers. Thus, learners need to be supported by intelligent learning tools that provide suitable knowledge in a tailored way. In this context, the use of learning analytics in its multifaceted forms is essential. Existing literature shows a proliferation of learning analytics use cases without a systematic structure. Based on a structured literature review of 42 papers we organized existing literature contributions systematically and derived four use cases: learning dashboards, individualized content, tutoring systems, and adaptable learning process based on personality. Our use cases will serve as a basis for a targeted scientific discourse and are valuable orientation for the development of future learning analytics use cases to give rise to the new form of Learning Experience Platforms.

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Section: Use Case 3: Individualized Tutoringmentioning

confidence: 99%

Section: Use Case 3: Individualized Tutoringmentioning

confidence: 99%

Learn Smarter, Not Harder – Exploring the Development of Learning Analytics Use Cases to Create Tailor-Made Online Learning Experiences

Ritz¹,

Grueneke²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Components in red are the additions made by adding the PING system. [23] different content based on a student's performance.…”

Section: Ping Architecturementioning

confidence: 99%

Evaluation of a Game-Based Personalized Learning System

Tang,

Hare

2021 ASEE Virtual Annual Conference Content Access Proceedings

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She is currently a Professor of Electrical and Computer Engineering (ECE) at Rowan University, Glassboro, NJ. Her research interests include virtual reality and augmented reality, artificial intelligence, and modeling and scheduling of computer-integrated systems. Dr. Tang is very active in adapting and developing pedagogical methods and materials to enhance engineering education. Her most recent educational research includes the collaboration with Tennessee State University and local high schools to infuse cyberinfrastructure learning experience into the pre-engineering and technology-based classrooms, the collaboration with community colleges to develop interactive games in empowering students with engineering literacy and problem-solving, the integration of system-on-chip concepts across two year Engineering Science and four year ECE curricula, and the implementation of an educational innovation that demonstrates science and engineering principles using an aquarium. Her work has resulted in over 100 journal and conference papers and book chapters.

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