Evaluation of positive emotion in children mobile learning application

Gasah, Magrizef; Baharum, Aslina; Zain, Nurul Hidayah Mat; Halamy, Suhaida; Hanapi, Rozita; Noor, Noorsidi Aizuddin Mat

doi:10.11591/eei.v9i2.2073

Cited by 5 publications

(6 citation statements)

References 13 publications

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“…Several factors are taken into consideration in generating the EEG dataset for emotion recognition, including [11]: a) Stimulus media: The literature studies showed several categories of stimuli to evoke emotions such as audio [16], [17], visual, and audio-visual media [14] as well as others including the ambient assisted living (AAL) technology [18], a combination of music, video, and game stimuli [19], mobile learning application [20], augmented reality (AR) [21], virtual reality (VR) [22], [23], and tactile enhanced multimedia (TEM) [24]. b) Proper stimuli presentation setup [11].…”

Section: Rq 1: What Factors Need To Be Considered To Generate and Distribute Eeg Data To Represent Emotional Reactions?mentioning

confidence: 99%

The challenges of emotion recognition methods based on electroencephalogram signals: a literature review

Wirawan

Wardoyo

Lelono

2022

IJECE

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Electroencephalogram (EEG) signals in recognizing emotions have several advantages. Still, the success of this study, however, is strongly influenced by: i) the distribution of the data used, ii) consider of differences in participant characteristics, and iii) consider the characteristics of the EEG signals. In response to these issues, this study will examine three important points that affect the success of emotion recognition packaged in several research questions: i) What factors need to be considered to generate and distribute EEG data?, ii) How can EEG signals be generated with consideration of differences in participant characteristics?, and iii) How do EEG signals with characteristics exist among its features for emotion recognition? The results, therefore, indicate some important challenges to be studied further in EEG signals-based emotion recognition research. These include i) determine robust methods for imbalanced EEG signals data, ii) determine the appropriate smoothing method to eliminate disturbances on the baseline signals, iii) determine the best baseline reduction methods to reduce the differences in the characteristics of the participants on the EEG signals, iv) determine the robust architecture of the capsule network method to overcome the loss of knowledge information and apply it in more diverse data set.

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Section: Rq 1: What Factors Need To Be Considered To Generate and Distribute Eeg Data To Represent Emotional Reactions?mentioning

confidence: 99%

The challenges of emotion recognition methods based on electroencephalogram signals: a literature review

Wirawan

Wardoyo

Lelono

2022

IJECE

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“…Some physics learning topics that are difficult for students to imagine can be made an interactive application or platform, from research by Mardiana & Kuswanto, (2017);Criollo-C et al, (2021); Tan & Heh., (2019);Ruiz-Rube et al, (2019) with the development of interactive applications for mobile learning, can improve critical thinking and problem solving skills, and students show positive responses, more active, high level of satisfaction. Interactive media can trigger positive mental health and increase students' selfconfidence (Gharaibeh & Gharaibeh, 2020;Gasah et al, 2020).…”

Section: Literature Review Of Mobile Web and E-learning For Physics L...mentioning

confidence: 99%

Trend of mobile, web, E-learning research in 2002-2021: Contribution to physics learning

Prahanı

Jatmiko²,

Pristianti³

et al. 2022

WJET

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The existence of a research topic can be seen from the research trend. Analysis that can map data to determine the trend of a study is using bibliometrics. The purpose of this study is to compare trends of mobile, web, and e-learning research and their contribution to physics learning in the last twenty years. The data was obtained from Scopus which was processed using Ms. Excel and VOSviewer. The three topics show a steady increasing trend in the last three years. The highest average citation per paper per year is in 2020. The most widely used keywords are mobile learning, web-based learning and e-learning. The contribution of the three topics to physics learning includes increasing motivation, learning outcomes, etc. Future research can be carried out to compare the contribution of the three topics to other learning systems such as STEM, STEAM, etc. using databases other than Scopus. Keywords: Bibliometrics; E-Learning; Mobile Learning; Physics Learning; Web Learning.

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“…A deep network for accurate emotion recognition and a network for binary classification of emotions as positive or negative (He & Zhang, 2018). Since emotion can be either positive or negative, it was vital to choose the appropriate strategy or point of view to show that a positive emotion was truly produced (Gasah et al, 2020). Emotion differentiation, or the ability to experience and recognize emotions in detail, has been linked to wellbeing.…”

Section: Fig 1 -The Differences In Response Average Between Male and ...mentioning

confidence: 99%

The Investigation of Meta-Affective Differences Between Gender in Vocational High Schools During Learning Science

Rusyati¹,

Rustaman²,

Widodo³

et al. 2022

JTET

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The presence of feelings has an impact on science learning, which involves not only studying theory but also practicing. Making groups in learning sometimes do not pay attention to the ability to recognize and regulate the feelings of male and female students. This survey research is to investigate meta-affective based on students' experiences in learning science. The research instrument is a questionnaire compiled based on the Awareness Dimension (10 statements) and Regulation Dimension (7 statements) with the level of response, namely frequency (scale 1-6). The research subjects involved were 160 students in Vocational High Schools, with 80 males and 80 females. The results show a comparison between male and female students based on average responses. Students who were female had higher average response scores than students who were male in both the tests of affective awareness and affective control. With the exception of one item, both versions have the same score. The items are MATS-12 "If I get angry with myself when I do not understand a topic, I notice that feeling" on affective awareness and MATS-10 "If I feel angry when I am not successful, I try to control it". These results conclude that noticing angry feelings and controlling them is the same ability between male and female students. This suggests that, except for rage, which can be recognized and managed by both sexes of students, female students are better able to recognize and manage their emotions.

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Evaluation of positive emotion in children mobile learning application

Cited by 5 publications

References 13 publications

The challenges of emotion recognition methods based on electroencephalogram signals: a literature review

The challenges of emotion recognition methods based on electroencephalogram signals: a literature review

Trend of mobile, web, E-learning research in 2002-2021: Contribution to physics learning

The Investigation of Meta-Affective Differences Between Gender in Vocational High Schools During Learning Science

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