Who Will Continue Using MOOCs in the Future? Personality Traits Perspective

被引：4

作者：

Al Abdullatif, Hend A. ^{[1
]}

Velazquez-Iturbide, J. Angel ^{[1
]}

机构：

[1] Univ Rey Juan Carlos, Dept Informat & Stat, Madrid 8933, Spain

来源：

IEEE ACCESS | 2020年 / 8卷

关键词：

Human computer interaction; Cultural differences; Informatics; Psychology; Mathematical model; Patents; Licenses; Culture; ICM; MOOCs; personality traits; motivation; Spain; Saudi Arabia; SYSTEM JUSTIFICATION; TECHNOLOGY ACCEPTANCE; SELF-DETERMINATION; PLANNED BEHAVIOR; SOCIAL MEDIA; STUDENTS; INTENTION; MOTIVATIONS; PARTICIPATION; EXTROVERSION;

D O I：

10.1109/ACCESS.2020.2979180

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Personality traits may play a significant role in understanding human-computer interactions. This research adopted the personality traits perspective to explain the variances in the intention to continue using MOOCs (ICM), taking motivational and cultural aspects into account. The research used system justification and psychological reactance theories to hypothesize these relationships. It analyzed professional adults from a High-Power Distance context (i.e., Saudi Arabia, n & x003D;212) and a Low Power Distance context (i.e., Spain, n & x003D;136) using Structural Equation Modelling. Power distance comes as a negative moderator on the impact of internal motivation in the ICM and of extraversion in ICM, and the mediated effect of the internal motivation on the relationship between agreeableness and ICM. However, it comes as a positive moderator on the effect of extraversion in internal motivation and the effect of conscientiousness in the ICM. This research has several implications regarding the design of MOOCs for different personalities in dissimilar cultures.

引用

页码：52841 / 52851

页数：11

共 60 条

[11]

Browne M.W., 1993, SOCIOL METHOD RES, P445

[12] A framework for the assessment of synthetic personalities according to user perception [J].

Callejas, Zoraida ;

Griol, David ;

Lopez-Cozar, Ramon .

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2014, 72 (07) :567-583

[13] Personality predicts academic performance: Evidence from two longitudinal university samples [J].

Chamorro-Premuzic, T ;

Furnham, A .

JOURNAL OF RESEARCH IN PERSONALITY, 2003, 37 (04) :319-338

[14]

Chen G., 2016, P C US MOD AD PERS U, P1

[15] The role of students' motivation and participation in predicting performance in a MOOC [J].

de Barba, P. G. ;

Kennedy, G. E. ;

Ainley, M. D. .

JOURNAL OF COMPUTER ASSISTED LEARNING, 2016, 32 (03) :218-231

[16] A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation [J].

Deci, EL ;

Koestner, R ;

Ryan, RM .

PSYCHOLOGICAL BULLETIN, 1999, 125 (06) :627-668

[17] Progress and new directions for teaching and learning in MOOCs [J].

Deng, Ruiqi ;

Benckendorff, Pierre ;

Gannaway, Deanne .

COMPUTERS & EDUCATION, 2019, 129 :48-60

[18]

DeYoung C.G., 2014, Personality and Individual Differences, V60, pS18, DOI [10.1016/j.paid.2013.07.381., DOI 10.1016/J.PAID.2013.07.381]

[19] The Mini-IPIP scales: Tiny-yet-effective measures of the big five factors of personality [J].

Donnellan, M. Brent ;

Oswald, Frederick L. ;

Baird, Brendan M. ;

Lucas, Richard E. .

PSYCHOLOGICAL ASSESSMENT, 2006, 18 (02) :192-203

[20] EVALUATING STRUCTURAL EQUATION MODELS WITH UNOBSERVABLE VARIABLES AND MEASUREMENT ERROR [J].

FORNELL, C ;

LARCKER, DF .

JOURNAL OF MARKETING RESEARCH, 1981, 18 (01) :39-50

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