The COVID-19 pandemic has forced Higher Education Institutions (HEI's) to rethink the teaching approach taken. In response to this emergency state, Moroccan universities switched to the e-learning approach as an alternative to face-to-face education. At this level the assessment of e-learning systems success becomes a necessity. This data article aims to identify e-learning systems success determinants during the COVID-19 pandemic. The data was collected from students of the Moroccan Higher Education Institutions. The research data are collected via an on a self-administered online questionnaire, from a sample of 264 university students. The responses are collected from students of 12 Moroccan universities and 31 Moroccan educational institutions. The data were analyzed using a structural equation modeling method under the Partial Least Squares approach (PLS-SEM). Data analysis was performed using SmartPLS 3 software. Universities managers can use the dataset to identify key factor to enhance e-learning system success.

E-learning was a major study area during COVID-19 pandemic. Practically, public and private higher education institutions worldwide have switched from traditional face-to-face teaching to online learning solutions in order to deal with the spread of the coronavirus. Hence, the purpose of this study is to evaluate the effectiveness of the e-learning solution during COVID‐19 crisis. The research data were gathered using a self-administered online survey from Moroccan public university students. Through using the structural equation modeling under the partial least squares (PLS-SEM), the findings reveal that instructor quality has a direct and significant influence on system use and learner satisfaction. Likewise, user satisfaction is positively associated with system quality. Moreover, the e-learning system success is driven by both system use and learner satisfaction. These results are useful for Moroccan University policymakers in order to develop best practices to ensure a successful e-learning implementation.

This article aims to find the determinants that affect patient satisfaction regarding the Mawiidi public portal in Moroccan public hospitals and assess its outpatient online booking system effectiveness using a model that integrates the Technology Acceptance Model (TAM) with the Information Systems Success Model (ISSM) while adopting a quantitative research methodology. The analysis was conducted using 348 self-administered questionnaires to analyze eight key constructs, such as information quality, patient satisfaction, perceived ease of use, and privacy protection, among others. The results of PLS-SEM verified six out of eleven hypotheses tested, which reflected that information quality has a positive influence on perceived ease of use, which again enhances patient satisfaction. The major factors influencing the satisfaction and trust of patients in online appointment scheduling systems at public hospitals are highlighted. Indeed, privacy protection enhances patient satisfaction and trust. Service quality positively affects satisfaction but to a lesser degree. Website-related anxiety impacts perceived ease of use, although it has a limited influence on satisfaction. Such findings can inform suggestions for the managers of hospitals and portal designers to increase user satisfaction. This study uses a model from the TAM and ISSM frameworks, including cultural and socioeconomic aspects that apply to Morocco’s healthcare context.

Blockchain and deepfake mark a new step in integrating technology into therapeutic treatment, revolutionizing medical data management and patient care. Blockchain, especially through NFTs, secures healthcare data, ensuring transparency, access, confidentiality, and traceability. Deepfake enhances treatments by creating realistic simulations for rehabilitation and immersion therapies. However, these technologies raise ethical concerns about data security, informed consent, and potential misuse. This comparative study examines their applications, benefits, challenges, and ethical issues in healthcare, analyzing their impact on treatment quality and patient well-being. Based on an extensive literature review, findings show blockchain improves data security and traceability, while NFTs enable personalized treatments. Deepfakes, despite potential in therapy, pose risks of image manipulation and consent violations. The study provides recommendations for a regulated and secure integration of these technologies in therapy.

E-learning continues to grow increasingly crucial in Moroccan educational contexts as well as those throughout the world. This theoretical chapter examines Morocco’s e-learning environment with an emphasis on terminology and the primary methods for assessing information systems’ efficacy. Comprehending these mechanisms is imperative in augmenting the efficacy of e-learning endeavors. Using a variety of models and theories, including the Technology Acceptance Model (TAM), user satisfaction, e-learning quality, and DeLone and McLean’s Information Systems Success Model, we provide a theoretical foundation for future studies and real-world e-learning applications in Morocco. Additionally, this chapter explores the factors that may influence the success of an e-learning system. This chapter offers insightful information that will help educators and policymakers in Morocco to enhance their e-learning methods.