Suggestopedic mobile language learning

The use of suggestopedic teaching methods has been shown to be effective in the domain of language learning. Suggestopaedia is a classroom teaching method that employs certain strategies to enable learners to relax in order to enable more effective learning both consciously and subconsciously. The use of mobile technologies to support language learning has also become very useful and popular. This paper proposes the amalgamation of the two approaches to enable a mobile suggestopedic platform and demonstrates empirical evidence linked to the success of this approach on languge learning. The design of a Suggestopedic mobile language learning app is discussed together with different target groups of learners that can benefit from this type of teaching. Design, development and evaluation of this app forms our future work

Leveraging Twitter data to analyze the virality of Covid-19 tweets: a text mining approach

As the novel coronavirus spreads across the world, work, pleasure, entertainment, social interactions, and meetings have shifted online. The conversations on social media have spiked, and given the uncertainties and new policies, COVID-19 remains the trending topic on all such platforms, including Twitter. This research explores the factors that affect COVID-19 content-sharing by Twitter users. The analysis was conducted using 57,000 plus tweets that mentioned COVID-19 and related keywords. The tweets were subjected to the Natural Language Processing (NLP) techniques like Topic modelling, Named Entity-Relationship, Emotion & Sentiment analysis, and Linguistic feature extraction. These methods generated features that could help explain the retweet count of the tweets. The results indicate that tweets with named entities (person, organisation, and location), expression of negative emotions (anger, disgust, fear, and sadness), reference to mental health, optimistic content, and greater length have higher chances of being shared (retweeted). On the other hand, tweets with more hashtags and user mentions are less likely to be shared

Phenomenology: Exploring Women\u27s Experiences of First TIME IUD Insertion

Purpose: This study aims to explore Indonesian women\u27s experiences of first-time IUD insertion.Method: This study using phenomenological approach. Three Javanese women who lived in Malang Indonesia were interviewed using an unstructured process and the women\u27s native language was utilized. Soon after the interview, transcripts were translated from Indonesian into English, and phenomenological analysis of data was used.Result: The results revealed one major and three minor themes and identify embarrassment as the major contribution to women\u27s feelings of powerlessness. These feelings emerged because women experienced a lack of privacy during the insertion procedure. Women are vulnerable especially when there is no support received while facing a stressful medical procedure.Conclusion: Women need assistance from the health staff in order to deal with this traumatic experience. This improvement will includes the enhancement of clinic staff communication skills, the enrichment of health practice in providing better service and the upgrading of health policy that focuses on nurses/ doctors\u27 attitudes to give women-centered care