There are many methods found by scientists while there are on several strategies that are convenient with technology. Another effective method is Words & Visuals (Dual Coding). For this strategy, students are high recommended to use multi-media such as google, video and especial YouTube. Anyways, while they are learning by watching it, they must follow 20-20-20 rule as mentioned above. The last strategy is Recall What You Know. Students can use helpful technology application on their smartphone such as Timer, Reminder and Noted so that they can remind themselves to review it. Based on a website Acrobatiq, Marianne Stenger reviews research and makes suggestions for studying success by managing these factors: location, lighting, body temperature, study environment, and clutter (Diogenes, 2016). Based on the same author in an article 5 ways to optimize your learning environment for better results, there are mix it up, choose lighting careful, pay attention to your body temperature, match your study environment to the exam environment and consider both the pros and cons of clutter. If natural light isn't an option, such as during wintertime when there are fewer hours of daylight, using brighter lights can still improve your performance. For instance, researchers in Vienna, Austria, found that children who studied in classrooms with enhanced lighting (500 Lux) performed better on writing, reading, and mathematics exercises than those with standard lighting (300 Lux) (Stenger, 2015).” Moreover, in order to get better result in classroom, students need to pay attention to their body temperature and make sure there are neither too hot nor too cold because a study from Cornell University showed that when temperatures were around 68°F (20°C) people made 44% more errors and were less than half as productive as when the temperatures were 77°F (25°C). Anyways, Stenger also said that “Things get a little confusing when you consider another study by researchers in Helsinki, Finland, which found that people were more productive in cooler temperatures of around 71.6°F (22°C).” That is why student need to pay attention to the temperature to get better result. Research Design
Research methodology is quite important to conduct the study and keep along with accurate and realizable data that can be retrieve from data collection. And there are many types of research method that used in research study. Thus, selecting a suitable method is depended on the nature and context of objectives. The current study was conducted by using explanatory research. Based on the objectives and nature of this study method to conduct this study. Quantitative method
For quantitative method, questionnaire designed careful was used to understand about the perception of student toward ICT. This method covered on the close-ended questions which were the ited boundary for respondents’ responses and it provided the comprehensive understanding and just covered the overall ones. Population Sampling Technique
The convenience sampling technique will be used in order to conduct this research in IFT since the key information referring to the study need to be informative. Data Collection Techniques
To get the most effective and believe information regarding to information about this research, primary data is the most needed data. However, primary data can be conducted in on once way which is survey questionnaire based on the nature of this study. Survey Survey will be conducted from student in IFL in purposive way. Survey aims to find out the deepen information regarding to the information related their experience and perception toward ICT in their study Secondary
Secondary data will be collected from various sources of information such as from various books, journals, and reports from previous studies related to the topic above. Data Anasis Technique
Based on the nature of researcher, on one techniques were used to anasis data which was SPSS. SPSS represents statistical package for social sciences. It is a software package for statistical anasis. In this study, SPSS was sued to anaze the data gotten from household survey with the questionnaires. References Arnulf, G. (2013, Oct 16). Technology and global change. Cambridge: Cambridge University Press.
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