ERIC Number: EJ1074759
Record Type: Journal
Publication Date: 2015-Oct
Abstractor: As Provided
Reference Count: N/A
Internet Cognitive Failure and Fatigue Relevant to Learners' Self-Regulation and Learning Progress in English Vocabulary with a Calibration Scheme
Hong, J.-C.; Hwang, M.-Y.; Chang, H.-W.; Tai, K.-H.; Kuo, Y.-C.; Tsai, Y.-H.
Journal of Computer Assisted Learning, v31 n5 p450-461 Oct 2015
To determine the factors of learning effectiveness in English vocabulary learning when using a calibration scheme, this study developed a freshman English mobile device application (for iPhone 4) for students with low levels of English proficiency to practise vocabulary in the beginning of their Freshman English course. Data were collected and validated from 243 subjects for confirmatory factor analysis and structural equation modeling. The findings revealed that Internet cognitive failure (i.e., trait cognitive disability) was positively correlated to Internet cognitive fatigue (i.e., state cognitive disability). Both types of Internet cognitive disability were negatively correlated to self-regulation in English vocabulary learning (SREVL). SREVL was positively correlated to the degree of learning improvement. The findings implied that the use of a calibration design for mobile English vocabulary learning could benefit students with low levels of Internet cognitive disability but high levels of SREVL.
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Vocabulary Development, Correlation, Telecommunications, Handheld Devices, Factor Analysis, Teaching Methods, Language Proficiency, Structural Equation Models, Fatigue (Biology), Internet, Metacognition, Instructional Effectiveness, Self Management
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
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