Mobile Learning Apps in Instruction And Students Achievement

Kattayat, Sandhya; Josey, Smitha; J.V, Asha

doi:10.3991/ijim.v11i1.6420

Cited by 16 publications

(15 citation statements)

References 4 publications

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“…Mobile devices such as laptops and smartphones are now a potential learning media (Sung, Chang, & Liu, 2016) and proven ability to improve student learning achievement (Kattayat, Josey, & Asha, 2017). This is related to the development of wireless technology and various mobile device innovations that make it easy for students to study wherever and whenever (Sung, Chang, & Yang, 2015;Chinnery, 2006).…”

Section: Introductionmentioning

confidence: 99%

The Effects Of Mobile Computer Supported Collaborative Learning to Improve Problem Solving and Achievements

Santosa

2020

Journal for the Education of Gifted Young Scientists

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This research aims to prove whether mobile Computer-Supported Collaborative Learning (mCSCL) is better at improving learning outcomes to solve problems than mobile Computer-Supported Individual Learning (mCSIL) based on the student's Self Regulated Learning level. Data analysis techniques in this study used SPSS programs with two-way variance analysis. The research subjects involved 140 Harapan Bangsa Academy students. The results of the analysis found that mCSCL has an average of 67,071 provides better learning outcomes for problem-solving than mCSIL, which is 63,414. Also, this study found that students with higher Self Regulated Learning (SRL) had better learning achievement than students with lower Self Regulated Learning that is, 66.5 compared to 63.986. Furthermore, the test results also obtained Fab = 3,326 with Sig. = 0.07 then H0AB is accepted. This matter means the mCSCL and mCSIL learning strategies provide equally good learning achievements for students who have high or low Self Regulated Learning. The novelty of this study is that the mobile Computer-Supported Collaborative Learning strategy will be more effective in improving problem-solving learning outcomes if students have high Self Regulated Learning.

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Section: Introductionmentioning

confidence: 99%

The Effects Of Mobile Computer Supported Collaborative Learning to Improve Problem Solving and Achievements

Santosa

2020

Journal for the Education of Gifted Young Scientists

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“…Before this study there was a study by Karabatzaki et al, (2018) about Mobile learning for preschool where it was stated that children's cognitive skills development with digital media and have well-designed mobile-based learning activities and games could improve skills of abstract thinking, reflective thinking, and analyzing and evaluating Kattayat, Josey, & Asha (2017) found that the results show that teaching learning processes using mobile apps are helpful to students in improving their learning achievements. In the first mathematics mobile learning application that was developed using the ExeLearning 2.0 program seen in the results of validation according to Table 5 stated that in display and material, this application met the criteria very well.…”

Section: Discussionmentioning

confidence: 99%

Development and Comparison of Mathematic Mobile Learning by Using Exelearning 2.0 Program and Mit Inventor 2

Yunianta

Putri²,

Kusuma³

2019

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Mathematics mobile learning influences student learning outcomes. Making this application need skills and also the appropriate programs. The first goal in this study is to develop valid and effective mathematics mobile learning. The second goal in this study if using two different programs it would get the same or different results, is it different between the two applications made with different programs? This type of research is research and development (R & D). The first application research subjects were mathematics teachers and 8th grade students of Junior High School in Salatiga consisted of 28 students and the subjects in this study were divided into two, namely students in the 8G class who used the mobile learning application and who did not use it and this study was conducted in the second semester academic year 2014/2015. The second application research subject was 10th-grade students of Senior High School in Salatiga, consisted of 24 students. This research was conducted in the second semester of the academic year 2015/2016. The first application development model was using ASSURE Model and developed with ExeLearning program, while the second application used the ADDIE Model and developed with MIT Inventor 2 program. Data on learning outcomes were obtained by giving initial tests and final tests. Data were analyzed using N-gain enhancement test. The mathematics mobile learning application used the ExeLearning 2.0 program to obtain validation results with very good criteria for the display and material sections while for the improvement of student learning outcomes in the high category amounting to 0.7. The second mathematics mobile learning application obtained very good display validation results and for the material section in the good category, while the increase in learning outcomes obtained an increase in the high category which was 0.71. Both of these applications possessed differences and the characteristics of mobile learning applications also depend on which software is used. It has a unique impression of using the ExeLearning 2.0 application and MIT Inventor 2.

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“…Kattayat in 2017 conducted research on the implementation of mobile learning in a number of students. The results showed that learning techniques with mlearning could improve achievement [20].…”

Section: A Mobile Learningmentioning

confidence: 99%

Mobile Cloud Learning based on User Acceptance using DeLone and McLean Model for Higher Education

Nugroho¹,

Murdowo²,

Ahmadi³

et al. 2020

IJACSA

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Mobile learning has been used in the learning process in several tertiary institutions in Indonesia. However, several universities have not been able to implement mobile learning due to the limitations of computer and network infrastructure. Cloud computing is a solution for agencies that experience limitations in computer infrastructure in the form of internet-based services for their customers. This paper discusses the implementation of mobile cloud learning which is a combination of mobile learning technology and cloud computing using the renewal DeLone and McLean Model which is a successful model to measure how important the implementation of a mobile cloud learning system is. The results showed that from the F test results obtained Fcount of 13,222, then Fcount> Ftable (13,222> 3.01), then Ho was rejected and H1 was accepted. So it can be concluded Information Quality, System Quality, and Service Quality together affect the Intensity of Use.

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Mobile Learning Apps in Instruction And Students Achievement

Cited by 16 publications

References 4 publications

The Effects Of Mobile Computer Supported Collaborative Learning to Improve Problem Solving and Achievements

The Effects Of Mobile Computer Supported Collaborative Learning to Improve Problem Solving and Achievements

Development and Comparison of Mathematic Mobile Learning by Using Exelearning 2.0 Program and Mit Inventor 2

Mobile Cloud Learning based on User Acceptance using DeLone and McLean Model for Higher Education

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