Learning Models for Higher Education in Engineering: Motivation, Self-Determination, and the Role of Information and Communication Technologies

被引:5
作者
Bustamante-Mora, Ana [1 ]
Dieguez-Rebolledo, Mauricio [1 ]
Hormazabal, Yemsy [1 ]
Valdes, Yolanda [2 ]
Cadena, Rodrigo [3 ,4 ]
机构
[1] Univ La Frontera, Dept Ciencias Comp & Informat, Temuco 4811230, Chile
[2] Univ Autonoma Chile, Fac Ingn, Talca 3480094, Chile
[3] Univ Tecnol Mexico, Dept Posgrad, Mexico City 11320, Mexico
[4] Univ Amer Europa, Dept Informat, Cancun 77500, Mexico
关键词
engineering; higher education; motivation models; self-determination; emotional intelligence; metacognition; technologies; ICT; STEM STUDENTS; SCIENCE; UNIVERSITY; FACULTY; SUSTAINABILITY; METACOGNITION; PERCEPTIONS; PERFORMANCE; EFFICACY; ACHIEVEMENT;
D O I
10.3390/su151712869
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the last decade, great strides have been made to increase access to education and enrollment rates at all levels (primary, secondary, and higher education). Actions such as promoting equal access to education, preventing school dropout, and establishing free education, among other actions proposed by organizations such as UNESCO, seek to guarantee the universality of education. This is undoubtedly a great challenge, and to address it, it is necessary to characterize how students face the learning process, considering factors such as autonomy, competencies, and their own basic psychological needs, looking for effective learning models based on students' needs in a changing world, where ICTs play a relevant role. This research analyzes learning models, motivation, self-determination, and technologies used for learning achievement in higher engineering education. The study will highlight relevant initiatives and the most commonly used technological tools. It will also identify learning models that seek to link emotional intelligence, self-determination, cognitive skills, and ICT. The PRISMA protocol guided the study, finding 132 relevant articles to be analyzed and proposing best practices in using learning models, strategies, and ICT to foster students' intrinsic motivation.
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页数:29
相关论文
共 160 条
  • [31] Human-robot interaction in higher education for predicting student engagement*
    Cui, Yong
    Song, Xiao
    Hu, Qinglei
    Li, Yang
    Sharma, Pavika
    Khapre, Shailesh
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2022, 99
  • [32] Deci E. L., 1985, Intrinsic motivation and self-determination in human behavior
  • [33] Deci Edward, 2012, OXFORD HDB HUMAN MOT, P85, DOI DOI 10.1093/OXFORDHB/9780195399820.013.0006
  • [34] Deckers L., 2022, Motivation, P279, DOI [10.4324/9781003202646-9, DOI 10.4324/9781003202646-9]
  • [35] Diamond Adele, 2020, Handb Clin Neurol, V173, P225, DOI 10.1016/B978-0-444-64150-2.00020-4
  • [36] Diogo R. A., 2023, Reliability Modeling in Industry 4.0, V1st ed, P407, DOI [https://doi.org/10.1016/B978-0-323-99204-6.00002-9, DOI 10.1016/B978-0-323-99204-6.00002-9]
  • [37] Intrinsic and extrinsic motivation among students for laboratory courses- Assessing the impact of virtual laboratories
    Diwakar, Shyam
    Kolil, Vysakh Kani
    Francis, Saneesh P.
    Achuthan, Krishnashree
    [J]. COMPUTERS & EDUCATION, 2023, 198
  • [38] Motivational patterns in STEM education: a self-determination perspective on first year courses
    Dyrberg, Nadia Rahbek
    Holmegaard, Henriette Tolstrup
    [J]. RESEARCH IN SCIENCE & TECHNOLOGICAL EDUCATION, 2019, 37 (01) : 90 - 109
  • [39] Does design-build concept improve problem-solving skills? An analysis of first-year engineering students
    Elaby, Mohammed F.
    Elwishy, Hesham M.
    Moatamed, Saeed F.
    Abdelwahed, Mahmoud A.
    Rashiedy, Ahmed E.
    [J]. AIN SHAMS ENGINEERING JOURNAL, 2022, 13 (06)
  • [40] Encinas JJ., 2020, Procedia Computer Science, V172, P960, DOI [DOI 10.1016/J.PROCS.2020.05.139, https://doi.org/10.1016/j.procs.2020.05.139]