Early Warning System for Online STEM Learning—A Slimmer Approach Using Recurrent Neural Networks
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Bashir Khan Yousafzai & Sher Afzal Khan & Taj Rahman & Inayat Khan & Inam Ullah & Ateeq Ur Rehman & Mohammed Baz & Habib Hamam & Omar Cheikhrouhou, 2021. "Student-Performulator: Student Academic Performance Using Hybrid Deep Neural Network," Sustainability, MDPI, vol. 13(17), pages 1-21, August.
- Aras Bozkurt & Abdulkadir Karadeniz & David Baneres & Ana Elena Guerrero-Roldán & M. Elena Rodríguez, 2021. "Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
- Shivam Gupta & Mahsa Motlagh & Jakob Rhyner, 2020. "The Digitalization Sustainability Matrix: A Participatory Research Tool for Investigating Digitainability," Sustainability, MDPI, vol. 12(21), pages 1-27, November.
- Naif Radi Aljohani & Ayman Fayoumi & Saeed-Ul Hassan, 2019. "Predicting At-Risk Students Using Clickstream Data in the Virtual Learning Environment," Sustainability, MDPI, vol. 11(24), pages 1-12, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Wala Bagunaid & Naveen Chilamkurti & Ahmad Salehi Shahraki & Saeed Bamashmos, 2024. "Visual Data and Pattern Analysis for Smart Education: A Robust DRL-Based Early Warning System for Student Performance Prediction," Future Internet, MDPI, vol. 16(6), pages 1-26, June.
- Gizéh Rangel-de Lázaro & Josep M. Duart, 2023. "You Can Handle, You Can Teach It: Systematic Review on the Use of Extended Reality and Artificial Intelligence Technologies for Online Higher Education," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
- Ming Li & Xiangru Wang & Yi Wang & Yuting Chen & Yixuan Chen, 2022. "Study-GNN: A Novel Pipeline for Student Performance Prediction Based on Multi-Topology Graph Neural Networks," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
- Shivam Gupta & Jazmin Campos Zeballos & Gema del Río Castro & Ana Tomičić & Sergio Andrés Morales & Maya Mahfouz & Isimemen Osemwegie & Vicky Phemia Comlan Sessi & Marina Schmitz & Nady Mahmoud & Mnen, 2023. "Operationalizing Digitainability: Encouraging Mindfulness to Harness the Power of Digitalization for Sustainable Development," Sustainability, MDPI, vol. 15(8), pages 1-37, April.
- Dawool Jung & Sungeun Suh, 2024. "Enhancing Soft Skills through Generative AI in Sustainable Fashion Textile Design Education," Sustainability, MDPI, vol. 16(16), pages 1-21, August.
- Daina Gudoniene & Evelina Staneviciene & Vytautas Buksnaitis & Nicola Daley, 2023. "The Scenarios of Artificial Intelligence and Wireframes Implementation in Engineering Education," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
- Lavinia Dovleac & Ioana Bianca Chițu & Eliza Nichifor & Gabriel Brătucu, 2023. "Shaping the Inclusivity in the New Society by Enhancing the Digitainability of Sustainable Development Goals with Education," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
- Jennie C. De Gagne, 2023. "The State of Artificial Intelligence in Nursing Education: Past, Present, and Future Directions," IJERPH, MDPI, vol. 20(6), pages 1-4, March.
- Houda Chkarat & Tarek Abid & Loïc Sauvée, 2023. "Conditions for a Convergence between Digital Platforms and Sustainability in Agriculture," Sustainability, MDPI, vol. 15(19), pages 1-14, September.
- Aleksandra Klašnja-Milićević & Mirjana Ivanović, 2021. "E-learning Personalization Systems and Sustainable Education," Sustainability, MDPI, vol. 13(12), pages 1-6, June.
- Ahsan Bin Tufail & Inam Ullah & Ateeq Ur Rehman & Rehan Ali Khan & Muhammad Abbas Khan & Yong-Kui Ma & Nadar Hussain Khokhar & Muhammad Tariq Sadiq & Rahim Khan & Muhammad Shafiq & Elsayed Tag Eldin &, 2022. "On Disharmony in Batch Normalization and Dropout Methods for Early Categorization of Alzheimer’s Disease," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
- Idiano D’Adamo & Assunta Di Vaio & Alessandro Formiconi & Antonio Soldano, 2022. "European IoT Use in Homes: Opportunity or Threat to Households?," IJERPH, MDPI, vol. 19(21), pages 1-18, November.
- Shivam Gupta & Jakob Rhyner, 2022. "Mindful Application of Digitalization for Sustainable Development: The Digitainability Assessment Framework," Sustainability, MDPI, vol. 14(5), pages 1-23, March.
- Ajda Fošner, 2024. "University Students’ Attitudes and Perceptions towards AI Tools: Implications for Sustainable Educational Practices," Sustainability, MDPI, vol. 16(19), pages 1-15, October.
- Eduard Eisner & Cadence Hsien & Mark Mennenga & Zi-Yu Khoo & Jasmin Dönmez & Christoph Herrmann & Jonathan Sze Choong Low, 2022. "Self-Assessment Framework for Corporate Environmental Sustainability in the Era of Digitalization," Sustainability, MDPI, vol. 14(4), pages 1-33, February.
- Maria José Sá & Ana Isabel Santos & Sandro Serpa & Carlos Miguel Ferreira, 2021. "Digitainability—Digital Competences Post-COVID-19 for a Sustainable Society," Sustainability, MDPI, vol. 13(17), pages 1-22, August.
- María Consuelo Sáiz Manzanares & Juan José Rodríguez Diez & Raúl Marticorena Sánchez & María José Zaparaín Yáñez & Rebeca Cerezo Menéndez, 2020. "Lifelong Learning from Sustainable Education: An Analysis with Eye Tracking and Data Mining Techniques," Sustainability, MDPI, vol. 12(5), pages 1-18, March.
- Sunghwan Hwang, 2022. "Examining the Effects of Artificial Intelligence on Elementary Students’ Mathematics Achievement: A Meta-Analysis," Sustainability, MDPI, vol. 14(20), pages 1-18, October.
- Florin-Valeriu Pantelimon & Razvan Bologa & Andrei Toma & Bogdan-Stefan Posedaru, 2021. "The Evolution of AI-Driven Educational Systems during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(23), pages 1-10, December.
- Marlen Gabriele Arnold & Alina Vogel & Martin Ulber, 2021. "Digitalizing Higher Education in Light of Sustainability and Rebound Effects—Surveys in Times of the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(22), pages 1-29, November.
More about this item
Keywords
early warning system; STEM; online learning; recurrent neural network;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:22:p:12461-:d:676992. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.