Differences in intention to use educational RSS feeds between Lebanese and British students: A multi‑group analysis based on the technology acceptance model

Really Simple Syndication (RSS) offers a means for university students to receive timely updates from virtual learning environments. However, despite its utility, only 21% of home students surveyed at a university in Lebanon claim to have ever used the technology. To investigate whether national culture could be an influence on intention to use RSS, the survey was extended to British students in the UK. Using the Technology Adoption Model (TAM) as a research framework, 437 students responded to a questionnaire containing four constructs: behavioral intention to use; attitude towards benefit; perceived usefulness; and perceived ease of use. Principle components analysis and structural equation modelling were used to explore the psychometric qualities and utility of TAM in both contexts. The results show that adoption was significantly higher, but also modest, in the British context at 36%. Configural and metric invariance were fully supported, while scalar and factorial invariance were partially supported. Further analysis shows significant differences between perceived usefulness and perceived ease of use across the two contexts studied. Therefore, it is recommended that faculty demonstrate to students how educational RSS feeds can be used effectively to increase awareness and emphasize usefulness in both contexts

TEACHERS PERCEPTIONS OF IMPLEMENTING M-LEARNING USING PEDAGOGICAL APPROACHES

Mobile learning (m-learning) has begun its transition from focusing on technology devices to pedagogical approaches that guide the design, development, and implementation of teaching and learning. The trends in the literature have identified pedagogical approaches, professional development and instructional practices that have improved academic achievement with teachers abilities and perceptions as a contributing factor. However, a gap remains about the degree to which teachers effectively integrate and implement m-learning to make a significant impact on teaching and learning. To address this gap, this research was a causal comparative study examining two schools perceptions of implementing m-learning after receiving differing types of professional development. A survey created from an extended Technology Acceptance Model (TAM) and Mobile Learning Readiness Survey (MLRS) was delivered to K-8 teachers from two schools within a large urban school district. The participants included K-8 teachers (n = 39) who responded to 42 survey items consisting of demographics (i.e. age, years of experience, content area, grade level, educational degree, and stage of adopting technology), mobile learning readiness, perceived usefulness, and perceived ease of use in relation to mobile learning and mobile technologies. The research performed a MANOVA comparing and determining that there was a non-statistical significant difference between the two schools and dependent variables. The results found that there was a non-statistical significant difference in teachers perceptions of mobile learning readiness, usefulness, and ease of use when it comes to implementing m-learning and technologies. The participants tended to have higher perceptions of m-learning being able to provide new opportunities to deliver instruction, intentionally using mobile technology more frequently, and willingness to learn how to effectively implement m-learning. Based on the findings, teachers from both schools were ready to implement m-learning regardless of the type of professional development and pedagogical approaches, blended learning or traditional learning, being used. The results of this study provide evidence to educational administrators and teachers that equitable investments into planning structured and organized professional development could transform pedagogical beliefs to effectively implement m-learning and improve student academic performance

Motivation Modelling and Computation for Personalised Learning of People with Dyslexia

The increasing development of e-learning systems in recent decades has benefited ubiquitous computing and education by providing freedom of choice to satisfy various needs and preferences about learning places and paces. Automatic recognition of learners’ states is necessary for personalised services or intervention to be provided in e-learning environments. In current literature, assessment of learners’ motivation for personalised learning based on the motivational states is lacking. An effective learning environment needs to address learners’ motivational needs, particularly, for those with dyslexia. Dyslexia or other learning difficulties can cause young people not to engage fully with the education system or to drop out due to complex reasons: in addition to the learning difficulties related to reading, writing or spelling, psychological difficulties are more likely to be ignored such as lower academic self-worth and lack of learning motivation caused by the unavoidable learning difficulties. Associated with both cognitive processes and emotional states, motivation is a multi-facet concept that consequences in the continued intention to use an e-learning system and thus a better chance of learning effectiveness and success. It consists of factors from intrinsic motivation driven by learners’ inner feeling of interest or challenges and those from extrinsic motivation associated with external reward or compliments. These factors represent learners’ various motivational needs; thus, understanding this requires a multidisciplinary approach. Combining different perspectives of knowledge on psychological theories and technology acceptance models with the empirical findings from a qualitative study with dyslexic students conducted in the present research project, motivation modelling for people with dyslexia using a hybrid approach is the main focus of this thesis. Specifically, in addition to the contribution to the qualitative conceptual motivation model and ontology-based computational model that formally expresses the motivational factors affecting users’ continued intention to use e-learning systems, this thesis also conceives a quantitative approach to motivation modelling. A multi-item motivation questionnaire is designed and employed in a quantitative study with dyslexic students, and structural equation modelling techniques are used to quantify the influences of the motivational factors on continued use intention and their interrelationships in the model. In addition to the traditional approach to motivation computation that relies on learners’ self-reported data, this thesis also employs dynamic sensor data and develops classification models using logistic regression for real-time assessment of motivational states. The rule-based reasoning mechanism for personalising motivational strategies and a framework of motivationally personalised e-learning systems are introduced to apply the research findings to e-learning systems in real-world scenarios. The motivation model, sensor-based computation and rule-based personalisation have been applied to a practical scenario with an essential part incorporated in the prototype of a gaze-based learning application that can output personalised motivational strategies during the learning process according to the real-time assessment of learners’ motivational states based on both the eye-tracking data in addition to users’ self-reported data. Evaluation results have indicated the advantage of the application implemented compared to the traditional one without incorporating the present research findings for monitoring learners’ motivation states with gaze data and generating personalised feedback. In summary, the present research project has: 1) developed a conceptual motivation model for students with dyslexia defining the motivational factors that influence their continued intention to use e-learning systems based on both a qualitative empirical study and prior research and theories; 2) developed an ontology-based motivation model in which user profiles, factors in the motivation model and personalisation options are structured as a hierarchy of classes; 3) designed a multi-item questionnaire, conducted a quantitative empirical study, used structural equation modelling to further explore and confirm the quantified impacts of motivational factors on continued use intention and the quantified relationships between the factors; 4) conducted an experiment to exploit sensors for motivation computation, and developed classification models for real-time assessment of the motivational states pertaining to each factor in the motivation model based on empirical sensor data including eye gaze data and EEG data; 5) proposed a sensor-based motivation assessment system architecture with emphasis on the use of ontologies for a computational representation of the sensor features used for motivation assessment in addition to the representation of the motivation model, and described the semantic rule-based personalisation of motivational strategies; 6) proposed a framework of motivationally personalised e-learning systems based on the present research, with the prototype of a gaze-based learning application designed, implemented and evaluated to guide future work

What Drives Students' Loyalty-Formation in Social Media Learning Within a Personal Learning Environment Approach? The Moderating Role of Need for Cognition

Our study analyzes an educational experience based on the integrated use of social media within a higher education course under a personal learning environment approach and investigates the factors that determine students' loyalty to social media learning. We examined the moderating role of need for cognition (NFC) in students' formation of attitudes, satisfaction, and loyalty toward this learning experience. The results indicate that NFC has an influence on these variables, significantly moderating how loyalty toward social media learning is formed. For high-NFC students, satisfaction with the learning experience is the most important variable to explain loyalty; whereas for low-NFC students, attitudes have a stronger effect. Different strategies are suggested, according to the learners' NFC levels, for increasing the use of social media in personal learning environments. Practical implications for improving the integration of such informal resources into formal education are discussed.Junta de Andalucía – Programa Andaluz de I + D P12 SEJ 259