Will personalized e-Learning increase deep learning in higher education?. Issue 1 (1st March 2019)
- Record Type:
- Journal Article
- Title:
- Will personalized e-Learning increase deep learning in higher education?. Issue 1 (1st March 2019)
- Main Title:
- Will personalized e-Learning increase deep learning in higher education?
- Authors:
- Sáiz-Manzanares, María Consuelo
García Osorio, César Ignacio
Díez-Pastor, José Francisco
Martín Antón, Luis Jorge - Abstract:
- Abstract : Purpose: Recent research in higher education has pointed out that personalized e-learning through the use of learning management systems, such as Moodle, improves the academic results of students and facilitates the detection of at-risk students. Design/methodology/approach: A sample of 124 students following the Degree in Health Sciences at the University of Burgos participated in this study. The objectives were as follows: to verify whether the use of a Moodle-based personalized e-learning system will predict the learning outcomes of students and the use of effective learning behaviour patterns and to study whether it will increase student satisfaction with teaching practice. Findings: The use of a Moodle-based personalized e-learning system that included problem-based learning (PBL) methodology predicted the learning outcomes by 42.3 per cent, especially with regard to the results of the quizzes. In addition, it predicted effective behavioural patterns by 74.2 per cent. Increased student satisfaction levels were also identified through the conceptual feedback provided by the teacher, arguably because it facilitated a deeper understanding of the subject matter. Research limitations/implications: The results of this work should be treated with caution, because of the sample size and the specificity of the branch of knowledge of the students, as well as the design type. Future studies will be directed at increasing the size of the sample and the diversity of theAbstract : Purpose: Recent research in higher education has pointed out that personalized e-learning through the use of learning management systems, such as Moodle, improves the academic results of students and facilitates the detection of at-risk students. Design/methodology/approach: A sample of 124 students following the Degree in Health Sciences at the University of Burgos participated in this study. The objectives were as follows: to verify whether the use of a Moodle-based personalized e-learning system will predict the learning outcomes of students and the use of effective learning behaviour patterns and to study whether it will increase student satisfaction with teaching practice. Findings: The use of a Moodle-based personalized e-learning system that included problem-based learning (PBL) methodology predicted the learning outcomes by 42.3 per cent, especially with regard to the results of the quizzes. In addition, it predicted effective behavioural patterns by 74.2 per cent. Increased student satisfaction levels were also identified through the conceptual feedback provided by the teacher, arguably because it facilitated a deeper understanding of the subject matter. Research limitations/implications: The results of this work should be treated with caution, because of the sample size and the specificity of the branch of knowledge of the students, as well as the design type. Future studies will be directed at increasing the size of the sample and the diversity of the qualifications. Originality/value: Learning methodology in the twenty-first century has to be guided towards carefully structured work from the pedagogic point of view in the learning management systems allowing for process-oriented feedback and PBL both included in personalized e-learning systems. … (more)
- Is Part Of:
- Information discovery and delivery. Volume 47:Issue 1(2019)
- Journal:
- Information discovery and delivery
- Issue:
- Volume 47:Issue 1(2019)
- Issue Display:
- Volume 47, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 47
- Issue:
- 1
- Issue Sort Value:
- 2019-0047-0001-0000
- Page Start:
- 53
- Page End:
- 63
- Publication Date:
- 2019-03-01
- Subjects:
- Moodle -- Learning -- Personalized -- Blended -- Log files analysis -- Self-regulated
Information retrieval -- Periodicals
Document delivery -- Periodicals
Digital libraries -- Periodicals
Information storage and retrieval systems -- Periodicals
025.524 - Journal URLs:
- http://www.emeraldinsight.com/loi/idd ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/IDD-08-2018-0039 ↗
- Languages:
- English
- ISSNs:
- 2398-6247
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4993.550000
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British Library HMNTS - ELD Digital store - Ingest File:
- 22126.xml