scholarly journals PENERAPAN METODE DRAG AND DROP PADA GAME EDUKASI

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Rian Farta Wijaya ◽  
Virdyra Tasril ◽  
Rahmad Budi Utomo
Keyword(s):  
Drag And Drop

Dalam melakukan pembelajaran seorang Pendidik harus mampu dalam menguasai materi dan kelas. Penggunaan media menjadi salah satu alat dalam pembelajaran. Sampai pada saat ini, media pembelajaran sudah menjadi bagian penting dalam menghasilkan pembelajaran yang efektif, efisien dan praktis. Didalam media pembelajaran yang baik, diharuskan terdapat learning, testing, dan evaluation. Game atau permainan, dapat diubah menjadi media pembelajaran, dan umumnya disebut dengan game edukasi. Penggunaan game edukasi akan digabungkan dengan metode drag and drop. Metode ini digunakan untuk menghasilkan interaksi antara pengguna dan media atau game. Sehingga dengan adanya penerapan metode drag and drop pada game edukasi, akan menghasilkan media yang baik untuk sebuah pembelajaran. Kata Kunci— Aplikasi, Drag and Drop, Edukasi, Game, Macromedia Flash.

scholarly journals Using process data to understand problem-solving strategies and processes for drag-and-drop items in a large-scale mathematics assessment

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Yang Jiang ◽  
Tao Gong ◽  
Luis E. Saldivia ◽  
Gabrielle Cayton-Hodges ◽  
Christopher Agard
Keyword(s):  
Problem Solving ◽  
Time Allocation ◽  
Large Scale ◽  
Solution Process ◽  
Process Data ◽  
Mathematics Assessments ◽  
Assessment Design ◽  
Eighth Grade Students ◽  
Problem Solving Strategies ◽  
Drag And Drop

AbstractIn 2017, the mathematics assessments that are part of the National Assessment of Educational Progress (NAEP) program underwent a transformation shifting the administration from paper-and-pencil formats to digitally-based assessments (DBA). This shift introduced new interactive item types that bring rich process data and tremendous opportunities to study the cognitive and behavioral processes that underlie test-takers’ performances in ways that are not otherwise possible with the response data alone. In this exploratory study, we investigated the problem-solving processes and strategies applied by the nation’s fourth and eighth graders by analyzing the process data collected during their interactions with two technology-enhanced drag-and-drop items (one item for each grade) included in the first digital operational administration of the NAEP’s mathematics assessments. Results from this research revealed how test-takers who achieved different levels of accuracy on the items engaged in various cognitive and metacognitive processes (e.g., in terms of their time allocation, answer change behaviors, and problem-solving strategies), providing insights into the common mathematical misconceptions that fourth- and eighth-grade students held and the steps where they may have struggled during their solution process. Implications of the findings for educational assessment design and limitations of this research are also discussed.

Drag-and-Drop Games

2018 ◽  
pp. 207-226
Author(s):  
Lee Stemkoski
Keyword(s):  
Drag And Drop

Drag and Drop

2017 ◽  
pp. 133-149
Author(s):  
Mike Driscoll
Keyword(s):  
Drag And Drop

scholarly journals Stress Tracker—Detecting Acute Stress From a Trackpad: Controlled Study

10.2196/22743 ◽  
2020 ◽  
Vol 22 (10) ◽  
pp. e22743
Author(s):  
Rahul Goel ◽  
Michael An ◽  
Hugo Alayrangues ◽  
Amirhossein Koneshloo ◽  
Emmanuel Thierry Lincoln ◽  
...  
Keyword(s):  
Effect Size ◽  
Mental Health Problems ◽  
Acute Stress ◽  
Passive Movement ◽  
Controlled Study ◽  
Current Sensing ◽  
Biomechanical Models ◽  
Computer Input Devices ◽  
Stress Sensing ◽  
Drag And Drop

Background Stress is a risk factor associated with physiological and mental health problems. Unobtrusive, continuous stress sensing would enable precision health monitoring and proactive interventions, but current sensing methods are often inconvenient, expensive, or suffer from limited adherence. Prior work has shown the possibility to detect acute stress using biomechanical models derived from passive logging of computer input devices. Objective Our objective is to detect acute stress from passive movement measurements of everyday interactions on a laptop trackpad: (1) click, (2) steer, and (3) drag and drop. Methods We built upon previous work, detecting acute stress through the biomechanical analyses of canonical computer mouse interactions and extended it to study similar interactions with the trackpad. A total of 18 participants carried out 40 trials each of three different types of movement—(1) click, (2) steer, and (3) drag and drop—under both relaxed and stressed conditions. Results The mean and SD of the contact area under the finger were higher when clicking trials were performed under stressed versus relaxed conditions (mean area: P=.009, effect size=0.76; SD area: P=.01, effect size=0.69). Further, our results show that as little as 4 clicks on a trackpad can be used to detect binary levels of acute stress (ie, whether it is present or not). Conclusions We present evidence that scalable, inexpensive, and unobtrusive stress sensing can be done via repurposing passive monitoring of computer trackpad usage.

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