{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T04:13:30Z","timestamp":1773893610711,"version":"3.50.1"},"reference-count":50,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T00:00:00Z","timestamp":1621900800000},"content-version":"vor","delay-in-days":144,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>Education is the cultivation of people to promote and guarantee the development of society. Education reforms can play a vital role in the development of a country. However, it is crucial to continually monitor the educational model\u2019s performance by forecasting the outcome\u2019s progress. Machine learning\u2010based models are currently a hot topic in improving the forecasting research area. Forecasting models can help to analyse the impact of future outcomes by showing yearly trends. For this study, we developed a hybrid, forecasting time\u2010series model by long short\u2010term memory (LSTM) network and self\u2010attention mechanism (SAM) to monitor Morocco\u2019s educational reform. We analysed six universities\u2019 performance and provided a prediction model to evaluate the best\u2010performing university\u2019s performance after implementing the latest reform, i.e., from 2015\u20132030. We forecasted the six universities\u2019 research outcomes and tested our proposed methodology\u2019s accuracy against other time\u2010series models. Results show that our model performs better for predicting research outcomes. The percentage increase in university performance after nine years is discussed to help predict the best\u2010performing university. Our proposed algorithm accuracy and performance are better than other algorithms like LSTM and RNN.<\/jats:p>","DOI":"10.1155\/2021\/6689204","type":"journal-article","created":{"date-parts":[[2021,5,25]],"date-time":"2021-05-25T21:05:08Z","timestamp":1621976708000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Hybrid LSTM Self\u2010Attention Mechanism Model for Forecasting the Reform of Scientific Research in Morocco"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5565-0794","authenticated-orcid":false,"given":"Asmaa","family":"Fahim","sequence":"first","affiliation":[]},{"given":"Qingmei","family":"Tan","sequence":"additional","affiliation":[]},{"given":"Mouna","family":"Mazzi","sequence":"additional","affiliation":[]},{"given":"Md","family":"Sahabuddin","sequence":"additional","affiliation":[]},{"given":"Bushra","family":"Naz","sequence":"additional","affiliation":[]},{"given":"Sibghat","family":"Ullah Bazai","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,5,25]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.3390\/su12052107"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1108\/IJSHE-06-2016-0102"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.9770\/jesi.2018.6.1(17)"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2019.06.054"},{"key":"e_1_2_9_5_2","first-page":"115","article-title":"Higher education and scientific research in Sudan: current status and future direction","volume":"5","author":"Mayada B. 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