Impacts of Different Mobile User Interfaces on Students’ Satisfaction for Learning Dijkstra’s Shortest Path Algorithm

Seraj, Mazyar; Wong, Chui Yin

doi:10.3991/ijim.v8i4.3860

“…Penggunaan soal interaktif yang inovatif dan variatif secara mandiri, sehingga akan terbentuk kegiatan evaluasi yang variatif dan menyenangkan (Purnanto & Mahardika, 2017). Keuntungan lain yang diperoleh yaitu guru dapat menyusun soal berbasis computer dan soal berbasis kertas dalam satu waktu (Seraj & Wong, 2014;Wang et al, 2021). Perbedaan penelitian sebelumnya yaitu menerapkan instrumen tanpa menggunakan aplikasi.…”

Section: Pendahuluanunclassified

Implementasi Quiz Interaktif dengan Software Mentimeter dalam Meningkatkan Hasil Belajar

Andrini

¹

,

Pratama

²

2021

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Hasil belajar mahasiswa rendah. Hal ini disebabkan oleh penerapan model pembelajaran yang kurang inovatif di masa pandemi Covid-19 saat ini. Tujuan penelitian ini adalah menganalisis penggunaan kuis interaktif menggunakan aplikasi mentimeter dalam meningkatkan hasil belajar. Jenis penelitian yang digunakan adalah komparatif. Jenis desain penelitian yang diguakan adalah one group pretest-posttest design. Sampel dalam penelitian ini berjumlah 25 mahasiswa semester III yang menempuh mata kuliah Mekanika. Teknik pengumpulan data yang digunakan adalah tes, angket, dan dokumentasi. Analisis data penelitian menggunakan uji statistik yang digunakan yaitu Uji T Paired. Hasil penelitian menunjukkan ada perbedaan hasil belajar mahasiswa antara sebelum dan sesudah perlakuan. Rata-rata hasil belajar jika berdasarkan nilai postest sebesar 78,00 lebih besar daripada nilai pretest sebesar 68,00. Pengunaan aplikasi mentimeter sebagai kuiz interaktif membuat mahasiswa lebih termotivasi dalam mengikuti proses pembelajaran. Antarmahasiswa menunjukkan adanya kompetisi yang positif setiap diadakan kuis. Implikasi penelitian ini diharapkan dapat meningkatkan proses pembelajaran menjadi lebih menyenangkan layaknya bermain menggunakan smartphone.

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“…However, the small size of screen and keypad are main limitations in designing and developing mlearning applications [11,12]. Despite these restrictions, advantages of m-learning are highlighted [9,11,12]: Mobile devices provide instructional opportunities such as learning in any location and at any time with minimal cost [12,14,15]. However, motivating students to learn via mobile devices conflicts with reluctance concerning the small screen and keypad size and the possibility of cheating activities [16].…”

Section: Literature Reviewmentioning

confidence: 99%

“…In an evaluation study, students responded favorably to two m-learning applications on digital logic and digital signal processing which were developed for electrical engineering students in both Android and iOS mobile platforms; in addition, the results showed improvement with respect to learning outcomes [10]. In [11], an interactive m-learning prototype was designed and developed which assists computer science students in getting a better understanding of Dijkstra's shortest path algorithm. The results show that users' satisfaction can be maintained via both mobile phones and tablet PCs; however, the study also shows that users are aware of limitations of using mobile technology such as small screen size compared to personal computers and laptops.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Self-Practicing of Logic Circuits Through Mobile Devices: Lecturers’ and Students’ Perceptions

Seraj¹,

Große²,

Drechsler³

2017

EDULEARN Proceedings

Self Cite

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Electronic devices are widely-used in modern life, and among the multitude of application possibilities, educational technology in order to facilitate learning and practicing becomes more and more important. Portable devices such as smartphones and tablet PCs make learning and teaching materials more accessible to students and lecturers. Although there already exists a large number of mobile-based learning applications, there is still a lack of studies which investigate lecturers' and students' perceptions of mobile-based learning environments. These issues are investigated in this paper. In order to ascertain perceptions of students and lecturers, a web-based questionnaire study was conducted. Two objectives were pursued: (i) to investigate lecturers' and students' perceptions of improvements in technical subjects through self-practicing with mobile devices, and (ii) to demonstrate common difficulties of students in the learning and practicing process in a core subject for computer science students, namely logic circuits and hardware description languages (HDL). The results showed that according to the lecturers' view, a substantial number of students experience difficulties with logic circuits and their implementation via HDL. Furthermore, the findings show that students who are interested in the field of logic circuits think positive of practicing on graphical and code view of logic circuits via mobile devices.

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“…Therefore, the researchers put forward a correct definition of deformable template and use the Dijkstra algorithm to track the contour. In literature [ 8 ], in order to study the relationship between user interface and satisfaction, the Dijkstra algorithm is used for experiments. Apple and Android are the two kings of mobile models.…”

Section: Introductionmentioning

confidence: 99%

High Performance Computing Simulation of Intelligent Logistics Management Based on Shortest Path Algorithm

Wei

¹

2022

Computational Intelligence and Neuroscience

0

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At present, e-commerce drives the logistics industry to develop greatly, but at the same time, there is a huge demand in this field, such as lower cost and higher efficiency. Facing the needs of logistics management development, it needs the blessing of intelligent technology, which involves countless fields at present. Intelligent logistics management has become a hot spot at present. What needs to be solved in this respect is how to shorten the transportation distance and save costs. To solve this problem, this paper proposes to introduce the shortest path algorithm. This paper compares the Dijkstra algorithm with the A ∗ algorithm under the background of logistics management and finds that the latter is more suitable for this field with huge amount of information. In order to improve the performance of the A ∗ algorithm, this paper introduces ant colony algorithm, which can better avoid obstacles. Combining these two algorithms, a ∗ -ant colony algorithm is obtained. The algorithm absorbs the advantages of the two algorithms, while maintaining high efficiency and good stability. These characteristics are very satisfying in the field of logistics management. Through the performance test and simulation experiment, it is concluded that the algorithm has excellent optimization ability and can reduce the cost for this field.

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Impacts of Different Mobile User Interfaces on Students’ Satisfaction for Learning Dijkstra’s Shortest Path Algorithm

Cited by 5 publications

References 11 publications

Implementasi Quiz Interaktif dengan Software Mentimeter dalam Meningkatkan Hasil Belajar

Implementasi Quiz Interaktif dengan Software Mentimeter dalam Meningkatkan Hasil Belajar

Self-Practicing of Logic Circuits Through Mobile Devices: Lecturers’ and Students’ Perceptions

High Performance Computing Simulation of Intelligent Logistics Management Based on Shortest Path Algorithm

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