Visualizing the Evolution of Mobile Learning Research

2016 ◽  
pp. 1-22 ◽  
Author(s):  
Hüseyin Özçınar
Keyword(s):  
Factor Analysis ◽  
Augmented Reality ◽  
Language Learning ◽  
Citation Analysis ◽  
Mobile Learning ◽  
Intellectual Structure ◽  
Learning Collaborative ◽  
Research Focus ◽  
Learning Research

The aim of this research is to investigate the scope and change of mlearning literature taking stand from the author co-citation patterns revealed in the publications between the years 2002 and 2015 in mlearning field. This study uses the author co-citation analysis, a kind of bibliometrics, and PFNET analysis to obtain the intellectual structure of mlearning field. In this study, it was found that the mlearning research focus on design and effectiveness of mlearning environments, developing a pedagogic framework for mlearning, adoption and proliferation of mlearning assisted language learning, collaborative mlearning and augmented reality. Assessing the results of factor analysis together with the PFNET graphics, it can be said that these subfields are the fundamental orientations of the field and the main themes of the field will be these subjects in following periods as well.

Visualizing the Evolution of Mobile Learning Research

2016 ◽  
pp. 2215-2236
Author(s):  
Hüseyin Özçınar
Keyword(s):  
Factor Analysis ◽  
Augmented Reality ◽  
Language Learning ◽  
Citation Analysis ◽  
Mobile Learning ◽  
Intellectual Structure ◽  
Learning Collaborative ◽  
Research Focus ◽  
Learning Research

The aim of this research is to investigate the scope and change of mlearning literature taking stand from the author co-citation patterns revealed in the publications between the years 2002 and 2015 in mlearning field. This study uses the author co-citation analysis, a kind of bibliometrics, and PFNET analysis to obtain the intellectual structure of mlearning field. In this study, it was found that the mlearning research focus on design and effectiveness of mlearning environments, developing a pedagogic framework for mlearning, adoption and proliferation of mlearning assisted language learning, collaborative mlearning and augmented reality. Assessing the results of factor analysis together with the PFNET graphics, it can be said that these subfields are the fundamental orientations of the field and the main themes of the field will be these subjects in following periods as well.

Visualizing the Evolution of Mobile Learning Research

2019 ◽  
pp. 160-180
Author(s):  
Hüseyin Özçınar
Keyword(s):  
Factor Analysis ◽  
Language Learning ◽  
Learning Environments ◽  
Power Flow ◽  
Specific Area ◽  
Intellectual Structure ◽  
Future Research ◽  
Learning Collaborative ◽  
Learning Research ◽  
Pathfinder Network

The aim of this chapter is to investigate the scope and change of m-learning literature over a period of thirteen years. The chapter takes an author co-citation approach where patterns are revealed in mlearning publications between the years 2002 and 2015. The author co-citation analysis is a kind of bibliometrics, and Power Flow Network Library (PFNET) analysis method to obtain the intellectual structure of the m-learning field. A PFNET is a psychometric scaling method where a network of associative nodes is generated using specific values. The method is based on graph theory and has been used to explore knowledge connections. The method is referred to as a pathfinder network for representing segments of knowledge in a branched manner. The method can also be used for developing consensus building or recognizing expertise in a specific area. In this study, it was found that the m-learning research focus on design and effectiveness of m-learning environments, developing a pedagogic framework for m-learning, adoption and proliferation of m-learning-assisted language learning, collaborative m-learning, and augmented reality. Assessing the results of factor analysis together with the PFNET graphics, the subfields show the fundamental orientations of the field, and the main themes will be the focus of future research.

scholarly journals The Effectiveness of Augmented Reality for English (AR4E) in Vocabulary Learning among Primary 2 Pupils

2021 ◽  
Vol 13 (3) ◽  
pp. 13
Author(s):  
Amalina Binti Hasbi ◽  
Melor Md. Yunus
Keyword(s):  
Action Research ◽  
Augmented Reality ◽  
Language Learning ◽  
Teaching And Learning ◽  
Learning Experience ◽  
Vocabulary Learning ◽  
Future Research ◽  
Learning Collaborative ◽  
Post Test ◽  
The Impact

This paper presents and discusses a part of an action research conducted to evaluate the effectiveness of Augmented Reality for English (AR4E) in vocabulary learning among Primary 2 pupils as indicated in the results of the pre-test, post-test and observation checklist. An action research was employed. However, this paper reports on the pre-test, post-test and observation checklist conducted in the observation, evaluation and reflection stages only. Purposive sampling was employed as the participants were of the same proficiency level in which it was carried out with 14 below average Primary 2 pupils in SKTEN. Two data collection instruments which were pre-test, post-test and observation checklist were analysed statistically and thematically. The pre-test and post-test were analysed using SPSS Version 25 and it showed a higher mean score in the post-test and this is supported by the findings obtained through the given themes of observation. The results reflected that the implementation of AR4E has shown a significant improvement in learner’s vocabulary learning. In addition, the findings have also raised the concern regarding the impact of AR4E in encouraging fun learning, collaborative learning and providing the learners with new language learning experience. Accordingly, the use of AR4E is recommended in vocabulary teaching and learning for English. Finally, the researcher suggests future research can be carried out taking into account differentiated learning tasks in AR4E, larger target users and different language skills to be integrated in AR4E.

Second or Foreign Language Learning With Augmented Reality

2018 ◽  
pp. 193-221 ◽  
Author(s):  
Aubrey Statti ◽  
Kelly M. Torres
Keyword(s):  
Augmented Reality ◽  
Foreign Language ◽  
Language Learning ◽  
Mobile Learning ◽  
Technology Use ◽  
Foreign Language Learning ◽  
Theoretical Framework ◽  
Learning Contexts ◽  
Impact Of Technology ◽  
The Impact

The following chapter will discuss the impact of technology use and mobile learning, specifically augmented reality (AR), in the process of learning a second or foreign language, namely English and Spanish. The chapter will begin with an overview of AR and then include a discussion of the theoretical framework, language learning contexts, as well as AR tools and applications in the process of second or foreign language learning. An overview of the benefits of AR in language learning will also be included, as well as an introduction to AR applications and specific AR systems, platforms, and case studies in language learning. The research will also provide a discussion of the challenges of using AR in language learning contexts, including specific attention to challenges with AR and learning, AR and language learning, and mobile learning as a whole. The chapter will conclude with final thoughts from the authors in terms of potential areas of AR development that are in need of further attention.

A bibliometric analysis of mobile learning in the education sector

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Farheen Mujeeb Khan ◽  
Yuvika Gupta
Keyword(s):  
Citation Analysis ◽  
Mobile Learning ◽  
Design Methodology ◽  
Model Learning ◽  
Content Type ◽  
Effective Learning ◽  
The Past ◽  
Research Areas ◽  
Learning Research ◽  
Number Of Citations

Purpose This study aims to contribute to literature on mobile learning (m-learning) by proposing four research clusters whereby scholars can expand m-learning research to facilitate effective learning experiences for students. Design/methodology/approach This study reviews student-centric literature on m-learning since 2010 and presents insights on m-learning while applying well-established bibliometric techniques. Consequently, 722 articles published in the past decade were evaluated by identifying key research areas, most influential authors, countries, journals and organisations. Most influential studies based on number of citations were also examined. Findings Through article co-citation analysis, four clusters representing m-learning literature were identified: concept of m-learning, application of m-learning in education, designing framework for model learning/acceptance and emerging technologies. Originality/value As mobile learning (m-learning) has undergone an evolution from being an emerging field to a significant teaching and research tool, it is pertinent to explore and identify the trends of m-learning research.

Second or Foreign Language Learning With Augmented Reality

2020 ◽  
pp. 933-954
Author(s):  
Aubrey Statti ◽  
Kelly M. Torres
Keyword(s):  
Augmented Reality ◽  
Foreign Language ◽  
Language Learning ◽  
Mobile Learning ◽  
Technology Use ◽  
Foreign Language Learning ◽  
Theoretical Framework ◽  
Learning Contexts ◽  
Impact Of Technology ◽  
The Impact

The following chapter will discuss the impact of technology use and mobile learning, specifically augmented reality (AR), in the process of learning a second or foreign language, namely English and Spanish. The chapter will begin with an overview of AR and then include a discussion of the theoretical framework, language learning contexts, as well as AR tools and applications in the process of second or foreign language learning. An overview of the benefits of AR in language learning will also be included, as well as an introduction to AR applications and specific AR systems, platforms, and case studies in language learning. The research will also provide a discussion of the challenges of using AR in language learning contexts, including specific attention to challenges with AR and learning, AR and language learning, and mobile learning as a whole. The chapter will conclude with final thoughts from the authors in terms of potential areas of AR development that are in need of further attention.

The theme trends and knowledge structure of H19 gene in cancer research: a scientometric analysis (Preprint)

2019 ◽  
Author(s):  
Zhigang Cui ◽  
Zhihua Yin ◽  
Lei Cui
Keyword(s):  
Cancer Research ◽  
Social Network ◽  
Citation Analysis ◽  
High Frequency ◽  
Cancer Metastasis ◽  
Intellectual Structure ◽  
Scientometric Analysis ◽  
Research Areas ◽  
Pivotal Study ◽  
Matrix Construction

BACKGROUND Background:H19 gene is maternally expressed imprinted oncofetal gene. This study aimed to explore distribution pattern and intellectual structure of H19 in cancer. OBJECTIVE Published scientific 826 papers related to H19 from Jan 1st, 2000 to March 22st, 2019 were obtained from the Web of Science core collection. METHODS We performed extraction of keywords and co-word matrix construction using BICOMB software. Then gCLUTO software, ucinet, excel software, Citespace, Vosviewer were successfully used for double -cluster analysis, social network analysis, Strategic coordinate analysis, co-citation analysis, and journal analysis. RESULTS We analyzed the distributions of included article of H19, identified 34 high-frequency keywords and classified them into 6 categories. Through co-word analysis and co-citation analysis for these categories, we identified the hotspot areas and intellectual basis about H19 in cancer research. Then the prospects of hotspots and their associations were accesssed by strategic coordinate diagrams and social network diagrams. CONCLUSIONS 6 research categories of 34 high-frequency keywords could represent the theme trends on H19 to some extent. Mir-675, cancer metastasis and risk, Wnt/β-catenin signaling pathway, SNP, and ceRNA network were core and mature research areas in this field. There is a lack of promising areas of H19 research. Matouk(2006) article play a key role in H19 research, and Murphy SK(2006)and Luo M(2013) articles serve knowledge transmission as pivotal study.

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