scholarly journals Developing Information Technology Fluency in College Students: An Investigation of Learning Environments and Learner Characteristics

10.28945/1381 ◽  
2011 ◽  
Vol 10 ◽  
pp. 101-122 ◽  
Author(s):  
Nancy Burns Sardone
Keyword(s):  
College Students ◽  
Information Technology ◽  
Learning Environments ◽  
Learner Characteristics ◽  
Technology Fluency

A motivation treatment to enhance goal engagement in online learning environments: Assisting failure-prone college students with low optimism.

2019 ◽  
Vol 5 (2) ◽  
pp. 116-134 ◽  
Author(s):  
Jeremy M. Hamm ◽  
Raymond P. Perry ◽  
Judith G. Chipperfield ◽  
Patti C. Parker ◽  
Jutta Heckhausen
Keyword(s):  
College Students ◽  
Online Learning ◽  
Learning Environments ◽  
Online Learning Environments

College students' readiness for connectivist learning: the development and validation of a scale

2021 ◽  
Vol 38 (2) ◽  
pp. 230-242
Author(s):  
Bulut Atay ◽  
Evren Sumuer
Keyword(s):  
College Students ◽  
Learning Environments ◽  
Relevant Literature ◽  
Technology Enhanced Learning ◽  
Learning Networks ◽  
Good Reliability ◽  
Content Type ◽  
Readiness Level ◽  
Information And Communication ◽  
Online Learning Readiness

PurposeThe purpose of this paper is to investigate the components of college students' readiness for connectivist learning in technology-enhanced learning environments through the development of the readiness for connectivist learning scale (RCLS).Design/methodology/approachAfter the constructs of the scale had been identified, their items were created based on the relevant literature. In order to ensure the content validity of the items, a sorting procedure was implemented and they were reviewed by experts in the field. The construct validity of the scale was tested using exploratory factor analysis (EFA) with data from 718 students from a university in Turkey.FindingsThe findings of the current study indicated a four-factor solution, which includes information and communication technology (ICT) self-efficacy (seven items), autonomous learning (seven items), information literacy (eight items) and learning networks (five items). A significant, strong and positive correlation of students' scores on the RCLS with those of the online learning readiness scale (Hung et al., 2010) supported the criterion-related validity of the scale. The value of Cronbach's alpha coefficients for the RCLS showed good reliability for the scale.Originality/valueWith the assessment of college students' readiness level for connectivist learning, it is possible for them to anticipate their success in connectivist learning environments themselves and thereby to improve the knowledge, skills and attitudes necessary for their success in these environments.

College Students’ Cognitive Learning Outcomes in Technology-Enabled Active Learning Environments: A Meta-Analysis of the Empirical Literature

2019 ◽  
Vol 58 (4) ◽  
pp. 791-817 ◽  
Author(s):  
Yinghui Shi ◽  
Huiyun Yang ◽  
Jason MacLeod ◽  
Jingman Zhang ◽  
Harrison Hao Yang
Keyword(s):  
College Students ◽  
Active Learning ◽  
Learning Outcomes ◽  
Learning Environments ◽  
Meta Analysis ◽  
Cognitive Learning ◽  
Empirical Literature ◽  
High Quality ◽  
Moderator Variable ◽  
Cognitive Learning Outcomes

Technology-enabled active learning environments (TE-ALEs) have attracted considerable research interest, particularly in higher education. However, research shows inconsistent results describing the influence of TE-ALEs toward students’ cognitive learning outcomes. This study was designed to identify high-quality empirical research examining college students’ cognitive learning outcomes and to utilize meta-analysis to determine the overall effectiveness of TE-ALEs. A systematic literature search identified 31 high-quality peer-reviewed journal articles that met the inclusion criteria. Meta-analysis showed that the calculated effect size of TE-ALEs more positively influenced students’ cognitive learning than traditional lecture-based environments. Moderator variable analysis suggested that social context, study design, and sample size were significant factors that influence the effectiveness of TE-ALE. TE-ALEs were found more effective when instructors employed individualized learning contexts as well as when bias was reduced in randomized controlled trials. TE-ALEs were also found to be more effective in small courses rather than in large courses.

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