A Multi-Dimensional Measurement Model for Assessing the Pre-Adoption of Open Learner Models in Technology-Mediated Teaching and Learning: A Pilot Study

Visualizing learners’ information through the development of open learner models for improving the effectiveness of teaching and learning has attracted much attention in technology-mediated learning. There is, however, a lack of research in exploring the acceptance of open learner models in the pre-adoption of this model. This paper develops a multi-dimensional measurement model for assessing the pre-adoption of open learner models from the learners’ perspective. A pilot study is carried out to confirm the reliability and validity of the measurement model based on the data collected from 300 respondents using an online survey distributed in a higher education institution in Malaysia. This model provides a useful set of guidelines for educational institutions in developing efficient and effective policies to promote the adoption of open learner models in technology-mediated learning towards improving the performance of technology-mediated teaching and learning

Understanding the Turnover Intention of Crowd Workers of Microtask Crowdsourcing Platform

Microtask crowdsourcing is a relatively new work form enabled by information technologies. For both practitioners and academics, understanding the turnover intention of the users, requesters and crowd workers respectively, of microtask crowdsourcing is very important. However, compared with the relatively large literature on requester, studies focusing on worker crowd workers are limited. Therefore, in this study, we investigate the crowd workers’ intentions to leave the microtask crowdsourcing. The research goal is to analyze the motivations of crowd workers systematically and identify those factors that influenced their turnover intention. Based on perceived value and justice perspectives, a research model is developed. The proposed hypotheses will be tested using data from Amazon Mechanical Turk

Visualising weekly learning outcomes (VWLO) and the intention to continue using a learning management system (CIU): the role of cognitive absorption and perceived learning self-regulation

This research, using goal setting theory, proposes a new educational intervention to improve the perceptions of a Learning management System (LMS) as an organising technology, so as to improve the intention to continue using it. This research developed Visualised Weekly Learning Outcomes (VWLO) as a mechanism for exposing learners to the required learning outcomes week by week. The research used the Partial Least Square Method to analyse 151 responses from an IT university course and found that the perceived ease of use and usefulness of the VWLO, as an intervention, improves the learners’ perception of self-regulation and cognitive absorption from the LMS, which in turn affects the learners’ intention to continue using the LMS

An Integrated Model of the Influence of Personal Psychological Traits and Cognitive Beliefs on Customer Satisfaction and Continuance Intentions in Relation to Internet Banking Usage within the Saudi Arabian Context

This thesis examines the effects of Culture, the Unified Theory of Acceptance and Use of Technology (UTAUT), Expectation Confirmation Theory (ECT) and Technology Readiness (TR) on the satisfaction and usage continuance intention of Internet banking customers within the Saudi Arabian context. The aim is to develop and test a new framework for use in determining the factors that affect Internet banking customers’ actual usage behaviours, with a special focus on the role of cognitive processes, and cultural and personal psychological traits. This research uses cross-sectional survey questionnaire methods within a quantitative approach. 261 valid responses were received. Structural Equation Modelling (SEM) was used to test the hypothesised relationships within the research model in Analysis of Moment Structures (AMOS 20) software. ECT is well established in conventional marketing literature and explains how cognitive beliefs and affects lead to customers’ repurchasing behaviour. It was first adopted for the Information Systems (IS) context and then customised to explain IS continuance intention behaviour. However, previous ECT customisations in the IS context present a significant knowledge gap because technology-based services are sensitive to individuals’ psychological traits, which ECT does not account for. This research integrates psychological traits and culture into the ECT framework to explain customer satisfaction and continuance intentions in the context of Internet banking usage. It combines ECT with the UTAUT in order to expand ECT to include more cognitive beliefs. Then it integrates TR and Culture to account for psychological and sociological traits. The results present a new contribution to the body of knowledge by validating a theoretically backed integration of the above models into one structural model. This model broadens the understanding of the factors that influence IS satisfaction and usage continuance intention. Compared to previous studies, the explanatory power of this model is a major improvement, with an R2 of (0.61) for usage continuance intention

A meta-analysis of the quantitative studies in continuance intention to use an information system

Franque, F. B., Oliveira, T., Tam, C., & Santini, F. D. O. (2021). A meta-analysis of the quantitative studies in continuance intention to use an information system. Internet Research, 31(1), 1-36. https://doi.org/10.1108/INTR-03-2019-0103Purpose: This study aims to describe, synthesise and clarify the findings of published studies on individual continuance intention to use an information system (IS), considering the fact that the number of studies in the continuance intention context are growing exponentially and cover several different subjects. Design/methodology/approach: The research uses meta- and weight analysis by taking 115 empirical studies from continuance intention to use an IS. The data are presented in different views using significant and non-significant relationships from all the studies. Furthermore, it uses hierarchical linear meta-analysis to analyse potential moderators that can influence continuance intention. Findings: The results reveal that affective commitment, attitude, satisfaction, hedonic value and flow are the best predictors of continuance intention to use an IS. Sample size, individualism, uncertainty avoidance and long-term orientation moderate the relationship of perceived usefulness on continuance intention. Power distance, masculinity and indulgence moderate relationship satisfaction on continuance intention. Practical implications: The results reveal that continuance intention to use an IS has been studied in different countries, with different cultures; therefore, IS providers should have diversified managing strategies, to ensure the satisfaction of users and long-term usage of their IS. Originality/value: The study provides a systematic overview of the most relevant variables used in the literature, including a temporal analysis of the theoretical models, highlighting the evolution of the constructs and presents a moderation analysis.authorsversionpublishe

Determinants of continuance intention and word of mouth for hotel branded mobile app users.

This study examined the cognitive and affective factors that influence users\u27 post-adoption behavioral intention. Specifically, based on the Expectation Confirmation Model (ECM) (Bhattacherjee, 2001b) the impact of cognitive factors (i.e., perceived usefulness, confirmation of expectations, mobility, personalization and responsiveness) and affective factors (i.e., satisfaction, perceived enjoyment) on hotel branded mobile applications (apps) users\u27 continuance intention and WOM were examined. Hospitality firms invest considerable resources on technology solutions that are aimed at improving the consumer experience. However, for investments to be profitable firms must ensure that technology solutions are continuously used and ensure post-adoptive behaviors such as continuance intention and WOM. Data for the study were collected from 550 hotel branded mobile app users. After data were collected and cleaned, Partial Least-Square Structural Equation Modeling (PLS-SEM) was used to analyze the data. The results of the structural model indicated that continuance intention and WOM were directly influenced by satisfaction and perceived enjoyment; with satisfaction exerting the most influence on continuance intention. Conversely, perceived enjoyment was most influential to WOM. All cognitive factors were found to influence satisfaction and enjoyment, except for responsiveness and perceived usefulness. The results show that contextual factors have a more significant impact than previously established constructs. The results of the study allow hoteliers and hospitality technology consultants to identify the influential factors impacting post-adoptive behaviors. The study extends the literature on post-adoptive behavior and the ECM by including context specific factors (i.e. perceived mobility, personalization and responsiveness). This study contributes to the scare literature in the lodging industry literature examining users\u27 evaluations of mobile apps and post-adoptive behaviors in the hospitality industry. The study adds to the post-adoptive behavior literature by adding WOM as a second outcome to continuance intention. The treatment of contextual factors in this study, allowed to show the impact technology characteristics have on technology post-adoption

my.Eskwela: Designing An Enterprise Learning Management System to Increase Social Network and Reduce Cognitive Load

A typical learning management system (LMS) provides a tool for teachers to upload and create links to resources, create online assessments and provide immediate evaluation to students. As much as it tries to be student centered, most LMS remains a tool for instruction rather than learning. In a learning generation that is bound by very high online social capital, connectedness to the family weakens. my.Eskwela (My School) redefines LMS to include a parent component to address the need for inclusive participation of parents in the teaching-learning process. Basis for re-design came from the low user acceptance of teachers in using similar system. The study premised that designing an environment that evokes a ”feeling of socialness” through social widgets provides a perceived presence of a social environment that will increase usage of the system. In a majority of the focus group discussion, results showed a more positive evaluation of the system. Precisely, for perceived usefulness, perceived ease of use, perceived adoption and intent to use, it can be reasoned that the implementations for reducing the total effort to perform a task and the effect of implementing social interaction in the user-interface has high-impact

The Effect Of Social Presence On Teacher Technology Acceptance, Continuance Intention, And Performance In An Online Teacher Professional Development Course

The purpose of this study was to determine if the Technology Acceptance Model (TAM) could explain the relationship between teacher\u27s acceptance of an online teacher professional development course and their continuance intentions regarding online teacher professional development (oTPD). This study focused on the perceptions of the teachers as opposed to the design or implementation of oTPD. The participants (N=517) were mostly teachers (88.8%) enrolled in a statewide online course to provide classroom teachers with the latest knowledge of research-based instructional reading strategies. The course was offered over a 10-14 week period during the Spring 2006 semester through a public state university. Structural equation modeling was used to create a path analytic model extending the TAM to include two additional constructs: sociability and social presence. In addition, gains in instructional reading strategies knowledge (performance) were examined. Using this expanded version of the TAM, the study examined the causal relationships between sociability, social presence, perceived usefulness, perceived ease of use, continuance intention, and gains. Online distance education research has indicated that social presence can influence post-secondary students\u27 attitude and persistence within a web-based course. However a paucity of research exists on how technology acceptance and social presence impacts teachers within an online teacher professional development setting. Path analysis, univariate analysis of variance, and independent t-tests in SPSS v12.0 for Windows were used to analyze the data. The results suggest that the hypothesized extended model was a good fit. The model did indicate that both perceived ease of use and perceived usefulness were determinants of teachers\u27 intent to continue using oTPD for future professional development needs

Semantic discovery and reuse of business process patterns

Patterns currently play an important role in modern information systems (IS) development and their use has mainly been restricted to the design and implementation phases of the development lifecycle. Given the increasing significance of business modelling in IS development, patterns have the potential of providing a viable solution for promoting reusability of recurrent generalized models in the very early stages of development. As a statement of research-in-progress this paper focuses on business process patterns and proposes an initial methodological framework for the discovery and reuse of business process patterns within the IS development lifecycle. The framework borrows ideas from the domain engineering literature and proposes the use of semantics to drive both the discovery of patterns as well as their reuse

Usability of disaster apps : understanding the perspectives of the public as end-users : a dissertation presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Emergency Management at Massey University, Wellington, New Zealand

Listed in 2020 Dean's List of Exceptional ThesesMultiple smartphone applications (apps) exist that can enhance the public’s resilience to disasters. Despite the capabilities of these apps, they can only be effective if users find them usable. Availability does not automatically translate to usability nor does it guarantee continued usage by the target users. A disaster app will be of little or no value if a user abandons it after the initial download. It is, therefore, essential to understand the users’ perspectives on the usability of disaster apps. In the context of disaster apps, usability entails providing the elements that effectively facilitate users in retrieving critical information, and thus enabling them to make decisions during crises. Establishing good usability for effective systems relies upon focussing on the user whereby technological solutions match the user’s needs and expectations. However, most studies on the usability of disaster context technologies have been conducted with emergency responders, and only a few have investigated the publics’ perspectives as end-users. This doctoral project, written within a ‘PhD-thesis-with-publication’ format, addresses this gap by investigating the usability of disaster apps through the perspectives of the public end-users. The investigation takes an explicitly perceived usability standpoint where the experiences of the end-users are prioritised. Data analysis involved user-centric information to understand the public’s context and the mechanisms of disaster app usability. A mixed methods approach incorporates the qualitative analysis of app store data of 1,405 user reviews from 58 existing disaster apps, the quantitative analysis of 271 survey responses from actual disaster app users, and the qualitative analysis of usability inquiries with 18 members of the public. Insights gathered from this doctoral project highlight that end-users do not anticipate using disaster apps frequently, which poses particular challenges. Furthermore, despite the anticipated low frequency of use, because of the life-safety association of disasters apps, end-users have an expectation that the apps can operate with adequate usability when needed. This doctoral project provides focussed outcomes that consider such user perspectives. First, an app store analysis investigating user reviews identified new usability concerns particular to disaster apps. It highlighted users’ opinion on phone resource usage and relevance of content, among others. More importantly, it defined a new usability factor, app dependability, relating to the life-safety context of disaster apps. App dependability is the degree to which users’ perceive that an app can operate dependably during critical scenarios. Second, the quantitative results from this research have contributed towards producing a usability-continuance model, highlighting the usability factors that affect end-users’ intention to keep or uninstall a disaster app. The key influences for users’ intention to keep disaster apps are: (1) users’ perceptions as to whether the app delivers its function (app utility), (2) whether it does so dependably (app dependability), and (3) whether it presents information that can be easily understood (user-interface output). Subsequently, too much focus on (4) user-interface graphics and (5) user-interface input can encourage users to uninstall apps. Third, the results from the qualitative analysis of the inquiry data provide a basis for developing guidelines for disaster app usability. In the expectation of low level of engagement with disaster app users, the guidelines list recommendations addressing information salience, cognitive load, and trust. This doctoral project provides several contributions to the body of knowledge for usability and disaster apps. It reiterates the importance of investigating the usability of technological products for disasters and showcases the value of user-centric data in understanding usability. It has investigated usability with particular attention to the end-users’ perspectives on the context of disaster apps and, thus, produces a theoretical usability-continuance model to advance disaster app usability research and usability guidelines to encourage responsible design in practice