Learning performance and cognitive load in mobile learning: Impact of interaction complexity

2018 ◽  
Vol 34 (6) ◽  
pp. 917-927 ◽  
Author(s):  
Cixiao Wang ◽  
Ting Fang ◽  
Rong Miao
Keyword(s):  
Cognitive Load ◽  
Mobile Learning ◽  
Learning Performance

Differences between Visual Style and Verbal Style Learners in Learning English

2014 ◽  
Vol 12 (1) ◽  
pp. 91-104
Author(s):  
Chiu-Jung Chen
Keyword(s):  
Foreign Language ◽  
Cognitive Load ◽  
Verbal Ability ◽  
Type A ◽  
Learning Performance ◽  
Learning Materials ◽  
Visual Ability ◽  
Learning Content ◽  
Visual Style ◽  
Annotation Type

English proverb is an interested part when learner applied it in real life situation. The participants of this study were chosen from a big university in the middle area of Taiwan. The researchers selected some learners from Department of Foreign Language (DFL) and Department of Non-Foreign Language (DNFL). 40 students were from DFL, and 40 students were from DNFL. According to learner's short-term memory (STM) abilities, the researchers separated participants into four quadrants (Q1-Q4). According to visual style and verbal style of learning style, learning content representation (LCR) types are clarified into Type A, B, C. The research question is that participants with different STM abilities, how different LCR types affect the learning performance of English proverbs? The authors' results described that LCR with pictorial annotation (Type A) help participants with lower verbal ability and higher visual ability (Q2) to have better performance than other three quadrants, because type A participants feel easier to learn content presented in a visual form than in a verbal form. Providing LCR with both written and pictorial annotation (Type C) helps learners best with higher verbal ability and higher visual ability (Q1) in the recognition test. Providing redundancy learning content lead a higher cognitive load and result to irritation and lack of concentration, in accordance with the Cognitive Load theory. It implied that providing simple learning materials (only written annotation, Type B) is useful to participants with lower verbal ability and lower visual ability (Q3). The research results show that instructors should provide suitable learning materials to their learners in accordance with their STM abilities.

Complex Mobile Learning that Adapts to Learners' Cognitive Load

2016 ◽  
pp. 1850-1862
Author(s):  
Robin Deegan
Keyword(s):  
Mobile Computing ◽  
Cognitive Load ◽  
Mobile Devices ◽  
Mobile Learning ◽  
Cognitive Load Theory ◽  
Learning Task ◽  
Cognitive State ◽  
Load Theory ◽  
Load Types

Mobile learning is cognitively demanding and frequently the ubiquitous nature of mobile computing means that mobile devices are used in cognitively demanding environments. This paper examines the use of mobile devices from a Learning, Usability and Cognitive Load Theory perspective. It suggests scenarios where these fields interact and presents an experiment which determined that several sources of cognitive load can be measured simultaneously by the learner. The experiment also looked at the interaction between these cognitive load types and found that distraction did not affect the performance or cognitive load associated with a learning task but it did affect the perception of the cognitive load associated with using the application interface. This paper concludes by suggesting ways in which mobile learning can benefit by developing cognitive load aware systems that could detect and change the difficulty of the learning task based on the cognitive state of the learner.

scholarly journals Leveraging the Power of Mobile Technology to Enhance ESP Students’ Listening Comprehension Ability

2019 ◽  
Vol 7 (1) ◽  
pp. 84
Author(s):  
Yu-Chun Wang
Keyword(s):  
Foreign Language ◽  
Mobile Learning ◽  
Classroom Environment ◽  
Listening Comprehension ◽  
Practical Method ◽  
Learning Performance ◽  
Learning Needs ◽  
Technology Enhanced Learning ◽  
Positive Effects ◽  
Comprehension Ability

The ubiquitous nature of mobile devices and the expanding array of mobile learning applications enable the foreign language acquisition to take place outside the traditional classroom environment. This study conducted a mobile-assisted instructional experiment where the design and development of a mobile application were accomplished to serve students with diverse learning needs in a business English communication class, and with special emphasis on the practice and improvement of listening skills. The instruments used in this study include two tests, weekly quizzes and an attitude survey. The findings demonstrated positive effects of the mobile learning on ESP students with regards to their listening comprehension. Most of the students enjoyed having access to the mobile materials specifically designed to improve their learning performance. They perceived such technology-enhanced learning as a practical method for acquiring foreign language skills, because it provided them with an opportunity to accomplish learning tasks anywhere and at any time.

scholarly journals The Effect of Mobile Learning on Learning Performance: A Meta-Analysis Study

2020 ◽  
Vol 20 (1) ◽  
pp. 79-103 ◽  
Author(s):  
Tarik Talan
Keyword(s):  
Mobile Learning ◽  
Meta Analysis ◽  
Academic Research ◽  
Education Level ◽  
Educational Process ◽  
Mobile Technologies ◽  
Learning Performance ◽  
Inclusion Criteria ◽  
Literature Study ◽  
Implementation Period

The importance of mobile technologies in the educational process has directed the attention of many researchers to this field and has created an important body of academic research. The main purpose of this study is to determine the effect of mobile learning on students' learning performance. In this study, the meta-analysis method was employed. The literature was reviewed through different databases in order to access the relevant researches within the scope of the study. After reviewing the literature, study aspects and inclusion criteria were applied. The studies to be included in the meta-analysis were examined, and 104 studies conducted between the years of 2009 and 2019 that met the inclusion criteria were subjected to a meta-analysis. Education level, course/subject and the implementation period of the studies were determined as moderating variables. The sample of the study consists of 7,568 participants. As a result of the analysis performed according to the random effects model, the mean effect size value was calculated as 0.85 with an error of 0.07. It was determined that there was no publication bias in the meta-analysis. According to the results of the moderator analysis, it was found that the effect of mobile learning on the learning performance of the students did not change according to the education level and the implementation period, but it changed according to the course/subject. In addition to the aforementioned research results, this article also contains descriptive analysis of the results of the studies included in the meta-analysis. 

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