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  1. Fulltext What is needed to build a personalized recommender system for K-12 students' E-Learning? Recommendations for future systems and a conceptual framework
    Zayet TMA, Ismail MA, Almadi SHS, Zawia JMH, Mohamad Nor A
    Educ Inf Technol (Dordr), 2023;28(6):7487-7508.
    PMID: 36532791 DOI: 10.1007/s10639-022-11489-4
    Online learning has significantly expanded along with the spread of the coronavirus disease (COVID-19). Personalization becomes an essential component of learning systems due to students' different learning styles and abilities. Recommending materials that meet the needs and are tailored to learners' styles and abilities is necessary to ensure a personalized learning system. The study conducted a systematic literature review (SLR) of papers on recommendation systems for e-learning in the K12 setting published between 2017 and 2021 and aims to identify the most important component of a personalized recommender system for school students' e-learning. Recommendations for later studies were proposed based on the identified components, namely a personalized conceptual framework for providing materials to school students. The proposed framework comprised four stages: student profiling, material collection, material filtering, and validation.
  2. Fulltext Investigating transportation research based on social media analysis: a systematic mapping review
    Zayet TMA, Ismail MA, Varathan KD, Noor RMD, Chua HN, Lee A, et al.
    Scientometrics, 2021;126(8):6383-6421.
    PMID: 34188335 DOI: 10.1007/s11192-021-04046-2
    Social media is a pool of users' thoughts, opinions, surrounding environment, situation and others. This pool can be used as a real-time and feedback data source for many domains such as transportation. It can be used to get instant feedback from commuters; their opinions toward the transportation network and their complaints, in addition to the traffic situation, road conditions, events detection and many others. The problem is in how to utilize social media data to achieve one or more of these targets. A systematic review was conducted in the field of transportation-related research based on social media analysis (TRR-SMA) from the years between 2008 and 2018; 74 papers were identified from an initial set of 703 papers extracted from 4 digital libraries. This review will structure the field and give an overview based on the following grounds: activity, keywords, approaches, social media data and platforms and focus of the researches. It will show the trend in the research subjects by countries, in addition to the activity trends, platforms usage trend and others. Further analysis of the most employed approach (Lexicons) and data (text) will be also shown. Finally, challenges and future works are drawn and proposed.

    SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11192-021-04046-2.

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