title: Using mobile learning in free-choice educational settings to enhance ecological literacy

authors: Aguayo Corvalan, Claudio

subjects: Mobile learning

abstract: This article presents the case for using mobile technologies to facilitate the integration of classroom and outside-of-classroom learning experiences designed to enhance the ecological literacy of primary school students and their parents. There is growing evidence supporting the transformative potential of mobile learning technologies and tools within education settings to deliver meaningful learning experiences. We argue here that this potential could extend to integrating learning between the classroom and education outside the classroom (EOTC). We further argue that this mobile learning potential can mediate learning between students and their parents, visitors and educators at free- choice learning settings. We situate our argument within learning to enhance ecological literacy and call for studies that can consider the possibilities offered by mobile technology and related pedagogical frameworks, the reinforcement of learning experiences post a visit to a free-choice setting, and the integration with hands-on and non-technology mediated learning instances. Here we present some key theoretical considerations as a prelude to a study being funded by the Teaching and Learning Research Initiative to examine these possibilities.

text: Using mobile learning in free-choice educational settings to enhance ecological literacy This article presents the case for using mobile technologies to facilitate the integration of classroom and outside-of-classroom learning experiences designed to enhance the ecological literacy of primary school students and their parents. There is growing evidence supporting the transformative potential of mobile learning technologies and tools within education settings to deliver meaningful learning experiences. We argue here that this potential could extend to integrating learning between the classroom and education outside the classroom (EOTC). We further argue that this mobile learning potential can mediate learning between students and their parents, visitors and educators at free- choice learning settings. We situate our argument within learning to enhance ecological literacy and call for studies that can consider the possibilities offered by mobile technology and related pedagogical frameworks, the reinforcement of learning experiences post a visit to a free-choice setting, and the integration with hands-on and non-technology mediated learning instances. Here we present some key theoretical considerations as a prelude to a study being funded by the Teaching and Learning Research Initiative to examine these possibilities.

year: 2017

title: Combining strengths, emotions and polarities for boosting Twitter sentiment analysis

authors: Bravo-Marquez, Felipe

abstract: Twitter sentiment analysis or the task of automatically retrieving opinions from tweets has received an increasing interest from the web mining community. This is due to its importance in a wide range of fields such as business and politics. People express sentiments about specific topics or entities with different strengths and intensities, where these sentiments are strongly related to their personal feelings and emotions. A number of methods and lexical resources have been proposed to analyze sentiment from natural language texts, addressing different opinion dimensions. In this article, we propose an approach for boosting Twitter sentiment classification using different sentiment dimensions as meta-level features. We combine aspects such as opinion strength, emotion and polarity indicators, generated by existing sentiment analysis methods and resources. Our research shows that the combination of sentiment dimensions provides significant improvement in Twitter sentiment classification tasks such as polarity and subjectivity.

text: Combining strengths, emotions and polarities for boosting Twitter sentiment analysis Twitter sentiment analysis or the task of automatically retrieving opinions from tweets has received an increasing interest from the web mining community. This is due to its importance in a wide range of fields such as business and politics. People express sentiments about specific topics or entities with different strengths and intensities, where these sentiments are strongly related to their personal feelings and emotions. A number of methods and lexical resources have been proposed to analyze sentiment from natural language texts, addressing different opinion dimensions. In this article, we propose an approach for boosting Twitter sentiment classification using different sentiment dimensions as meta-level features. We combine aspects such as opinion strength, emotion and polarity indicators, generated by existing sentiment analysis methods and resources. Our research shows that the combination of sentiment dimensions provides significant improvement in Twitter sentiment classification tasks such as polarity and subjectivity.

year: 2013-01-01

title: Ko ngā whakahokinga kōrero a te hunga uiui i roto i te akomanga rumaki i te Whare Wānanga o Waikato: He pūrongo mō ngā ui pātai

authors: Nock, Sophie

subjects: Reo Māori

abstract: Ko te whāinga matua o tēnei rangahau he whakakaokao, he wetewete āno hoki i ngā whakahokinga kōrero a te hunga uiui i kake atu ai ki runga i te waka o Te Tohu Paetahi i te tau 2008, i raro i te kōawa o Rehutai, i raro anō hoki i te maru o Te Whare Wānanga o Waikato. Ka aro atu ki ngā urupare a te hunga tekau mā ono mō te kaupapa nei o Te Tohu Paetahi, ka mutu, ka matapakihia ngā kōrero me ngā whakaaro o taua hunga kia āta kitea ai, āe rānei e tika ana te whakahaere, te mahi whakaako i te reo, te tautoko mai hoki a ngā kaiwhakaako me te kura. I te mutunga iho tautoko katoa te hunga uiui ki aua mea katoa.

text: Ko ngā whakahokinga kōrero a te hunga uiui i roto i te akomanga rumaki i te Whare Wānanga o Waikato: He pūrongo mō ngā ui pātai Ko te whāinga matua o tēnei rangahau he whakakaokao, he wetewete āno hoki i ngā whakahokinga kōrero a te hunga uiui i kake atu ai ki runga i te waka o Te Tohu Paetahi i te tau 2008, i raro i te kōawa o Rehutai, i raro anō hoki i te maru o Te Whare Wānanga o Waikato. Ka aro atu ki ngā urupare a te hunga tekau mā ono mō te kaupapa nei o Te Tohu Paetahi, ka mutu, ka matapakihia ngā kōrero me ngā whakaaro o taua hunga kia āta kitea ai, āe rānei e tika ana te whakahaere, te mahi whakaako i te reo, te tautoko mai hoki a ngā kaiwhakaako me te kura. I te mutunga iho tautoko katoa te hunga uiui ki aua mea katoa.

year: 2017