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Article
Publication date: 5 June 2017

Atika Qazi, Ram Gopal Raj, Glenn Hardaker and Craig Standing

The purpose of this paper is to map the evidence provided on the review types, and explain the challenges faced by classification techniques in sentiment analysis (SA)…

Abstract

Purpose

The purpose of this paper is to map the evidence provided on the review types, and explain the challenges faced by classification techniques in sentiment analysis (SA). The aim is to understand how traditional classification technique issues can be addressed through the adoption of improved methods.

Design/methodology/approach

A systematic review of literature was used to search published articles between 2002 and 2014 and identified 24 papers that discuss regular, comparative, and suggestive reviews and the related SA techniques. The authors formulated and applied specific inclusion and exclusion criteria in two distinct rounds to determine the most relevant studies for the research goal.

Findings

The review identified nine practices of review types, eight standard machine learning classification techniques and seven practices of concept learning Sentic computing techniques. This paper offers insights on promising concept-based approaches to SA, which leverage commonsense knowledge and linguistics for tasks such as polarity detection. The practical implications are also explained in this review.

Research limitations/implications

The findings provide information for researchers and traders to consider in relation to a variety of techniques for SA such as Sentic computing and multiple opinion types such as suggestive opinions.

Originality/value

Previous literature review studies in the field of SA have used simple literature review to find the tasks and challenges in the field. In this study, a systematic literature review is conducted to find the more specific answers to the proposed research questions. This type of study has not been conducted in the field previously and so provides a novel contribution. Systematic reviews help to reduce implicit researcher bias. Through adoption of broad search strategies, predefined search strings and uniform inclusion and exclusion criteria, systematic reviews effectively force researchers to search for studies beyond their own subject areas and networks.

Details

Internet Research, vol. 27 no. 3
Type: Research Article
ISSN: 1066-2243

Keywords

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Article
Publication date: 6 May 2017

Raja Jamilah Raja Yusof, Atika Qazi and Irum Inayat

The purpose of this paper is to monitor in-class activities and the performance of the students.

Abstract

Purpose

The purpose of this paper is to monitor in-class activities and the performance of the students.

Design/methodology/approach

A pilot study was conducted to evaluate the proposed system using a questionnaire with 132 participants (teachers and non-teachers) in a presentation style to record the participant’s perception about performance expectancy (PE), effort expectancy (EE), facilitating conditions (FC), usability expectancy (UE) and user’s satisfaction (S) based on unified theory of acceptance use of technology (UTAUT) model.

Findings

The results show that PE, EE, FC had positive and significant influence on the UE of the proposed system. The effect of EE and FC on UE was seen to be more in female compared to male participants. The teacher category considered the PE and EE as important factors in determining their decision to use the proposed system.

Originality/value

A real-time student(s) visualization system based on the concept of real-time student locating system using radio frequency identification technology is proposed. Concepts can be categorized within the Internet of Things in the education domain.

Details

The International Journal of Information and Learning Technology, vol. 34 no. 3
Type: Research Article
ISSN: 2056-4880

Keywords

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Article
Publication date: 7 August 2017

Glenn Hardaker, Aishah Sabki, Atika Qazi and Javed Iqbal

Most research on information and communication technologies (ICT) differences has been related to gender and ethnicity, and to a lesser extent religious affiliation. The…

Abstract

Purpose

Most research on information and communication technologies (ICT) differences has been related to gender and ethnicity, and to a lesser extent religious affiliation. The purpose of this paper is to contribute to this field of research by situating the discussion in the context of British Muslims and extending current research into ICT differences beyond gender and ethnicity.

Design/methodology/approach

This paper explores the ICT differences in access and use by British Muslim teenage girls at Islamic faith schools, and ICTs’ perceived influence on learning. The qualitative research was undertaken by conducting 45 semi-structured interviews with British Muslim teenage girls in Islamic faith schools.

Findings

The study provides tentative findings that Islamic faith schools are not only framed by the wider diverse Muslim community, but also by the supplementary schooling of madrasahs. The findings suggest that the home use of ICTs was reinforced rather than compensated for by the Islamic faith schools. This seemed to inhibit many pupils’ access to online educational resources. The authors found that didactic instruction was prevalent and this provided tentative insights into the types of digital inequity experienced by many pupils.

Originality/value

The research into ICT differences in the UK adopted the premise that the unity in Muslim identity increasingly transcends ethnicity and gender in the Muslim community.

Details

The International Journal of Information and Learning Technology, vol. 34 no. 4
Type: Research Article
ISSN: 2056-4880

Keywords

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Article
Publication date: 1 February 2016

Mehwish Waheed, Kiran Kaur and Atika Qazi

– The purpose of this paper is to identify the unique d

Abstract

Purpose

The purpose of this paper is to identify the unique d

i

mensions associated with knowledge quality (KQ) based on students’ perception in an educational institution.

Design/methodology/approach

Purposive sampling was used to select students who were active users of the electronic-Learning (eLearning) system at two faculties in a single university. The qualitative data gathering employed an unstructured open-ended questionnaire distributed to the 52 selected participants.

Findings

The qualitative findings unearth the students’ perspective about quality of knowledge gained from content used in online courses. In total, 34 underlying sub-dimensions of KQ emerged, which were categorized into five KQ dimensions: intrinsic KQ, contextual KQ, representational KQ, accessible KQ, and actionable KQ.

Research limitations/implications

The findings provide an insight to educators to consider KQ dimensions in providing quality knowledge to students in an eLearning environment.

Originality/value

Previous studies have used information quality dimensions to measure KQ because of a lack of conceptualization of KQ that leads to difficulties in operationalizing this construct. In this study, a conceptual and operational definition of KQ, in the context of eLearning, is proposed based on grounded data from students participating in an online learning environment.

Details

Internet Research, vol. 26 no. 1
Type: Research Article
ISSN: 1066-2243

Keywords

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