{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T17:27:53Z","timestamp":1779384473392,"version":"3.53.1"},"reference-count":26,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,6,25]],"date-time":"2021-06-25T00:00:00Z","timestamp":1624579200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mobile Information Systems"],"published-print":{"date-parts":[[2021,6,25]]},"abstract":"<jats:p>The world has seen major developments in the field of e-learning and distance learning, especially during the COVID-19 crisis, which revealed the importance of these two types of education and the fruitful benefits they have offered in a group of countries, especially those that have excellent infrastructure. At the Faculty of Sciences Semlalia, Cadi Ayyad University Marrakech, Morocco, we have created a simple electronic platform for remote practical work (RPW), and its results have been good in terms of student interaction and even facilitating the employment of a professor. The objective of this work is to propose a recommendation system based on deep quality-learning networks (DQNs) to recommend and direct students in advance of doing the RPW according to their skills of each mouse or keyboard click per student. We are focusing on this technology because it has strong, tremendous visibility and problem-solving ability that we will demonstrate in the result section. Our platform has enabled us to collect a range of students\u2019 and teachers\u2019 information and their interactions with the learning content we will rely on as inputs (a large number of images per second for each mouse or keyboard click per student) into our new system for output (doing the RPW). This technique is reflected in an attempt to embody the virtual teacher\u2019s image within the platform and then adequately trained with DQN technology to perform the RPW.<\/jats:p>","DOI":"10.1155\/2021\/9959954","type":"journal-article","created":{"date-parts":[[2021,6,25]],"date-time":"2021-06-25T21:35:05Z","timestamp":1624656905000},"page":"1-11","source":"Crossref","is-referenced-by-count":18,"title":["The Implementation of Deep Reinforcement Learning in E-Learning and Distance Learning: Remote Practical Work"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4674-8458","authenticated-orcid":true,"given":"Abdelali","family":"El Gourari","sequence":"first","affiliation":[{"name":"Laboratory of Physics High Energy and Astrophysics, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mustapha","family":"Raoufi","sequence":"additional","affiliation":[{"name":"Laboratory of Materials Energy and Environment, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammed","family":"Skouri","sequence":"additional","affiliation":[{"name":"Laboratory of Physics High Energy and Astrophysics, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fahd","family":"Ouatik","sequence":"additional","affiliation":[{"name":"Laboratory of Physics High Energy and Astrophysics, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.11591\/ijeecs.v16.i3.pp1464-1473"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1007\/s00704-019-03033-1"},{"key":"3","article-title":"Towards cognitive exploration through deep reinforcement learning for mobile robots","author":"L. 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