Tablet PC is not a brand-new idea. But it did not draw much attention of consumers in the past. However tablet PC became the hottest product since Apple released the iPad in April 2010 which hit 15 million sales record in less than nine months. And this fever drives all of the IT, PC, mobile companies to start their production line. A war of tablet PC is about to begin in 2011. But from consumers¡¦ perspective, is tablet PC so different from its counterpart being utilized currently that attracts consumer to use it? What are the factors influencing the intention to use tablet PC? To answer the question, this study presents an extended technology acceptance model (TAM) integrating innovation diffusion theory and perceived price to examine the factors that influence the adoption of tablet PC. And the proposed model was empirically tested through data collected from an online questionnaire with 536 samples. And principal analysis, ANOVA, multiple regression as well as descriptive statistics were conducted to analyze the data. The findings indicate that all of the factors proposed in the model anticipate potential users¡¦ intention to use tablet PC. Among the factors, perceived enjoyment, perceived ease of use, relative advantage have the most significant influence and image is the least one. This study may extend use of TAM and provide further insights into tablet PC marketing strategies.

<div>With the advent of Machine Learning and Deep Learning models, many avenues of development have opened. Today, these technologies are being leveraged to perform a wide variety of tasks that were otherwise not possible with traditional systems. The power of Machine Learning and Artificial Intelligence makes it possible to compute very complicated tasks at near real-time speeds. To provide an example, Machine Learning models are used extensively in the retail industry to predict and analyze critical parameters such as sales, promotions, customer behavior, recommendations, and offers.</div><div><br></div><div><br></div><div>Today, it is increasingly common to observe AI being used across many of the biggest domains such as Health, Environment, Military, and Business. Artificial Intelligence being used in educational settings has thus been a growing field of focus and study. For example, conversational AI being deployed to act as virtual tutors to answer student questions and concerns. Additionally, there is a fill-the-hole type of AIs that will help students learn tasks such as coding by either showing them how to do it or by predicting where the student might go wrong and suggesting preemptive corrective steps. </div><div><br></div><div>As described, a great deal of literature exists about the use of Deep Learning and Machine Learning models in education. However, the existing tools and models act as external appendages that add to the course structure, thereby altering it. This proposed study introduces a Bayesian Knowledge Transfer model based on the Long Short Term Memory structure (BKT-LSTM) utilized in a live STEM (Science, Technology, Engineering, and Mathematics) classroom. The model discovers individual student learning profiles based on past quiz performance and customizes future quizzes based on the learned patterns. The BKT-LSTM model works in tandem with the existing course curriculum and only tests those knowledge items that have already been covered in the classroom. The model does not change the course structure but rather aims to improve the student’s learning experience by focusing on areas of the student's knowledge that require more practice in learning. </div><div><br></div><div><br></div><div>Within a live STEM classroom, the BKT-LSTM model acts as a herald of change in the way students interact with the curriculum, even though no major changes are observed in the course structure. Students interacting with the model are subjected to quizzes with questions that target the individual student’s lack of learning in particular knowledge areas. Thus, students can be expected to perceive the change as unwelcoming due to the increasing difficulty in subsequent quizzes. Regardless, the study focuses on measuring the learning performance of the students. Do the students learn more in the new system? Another focus of the study is the student’s perception of engagement while interacting with the BKT-LSTM model. The effectiveness of the new educational process is determined not only by increased student learning performance, but also by the student’s perception of engagement while interacting with the model. Are the students enjoying the new experience? Do the students feel like they are learning something? Another important factor was also studied, that is learning performance of students interacting with the BKT-LSTM. </div><div><br></div>

Abstract Background As future physical education teachers there is an interest in creating lessons that makes the pupils committed to the subject. The National Agency for Education describes in its curriculum for PE that the subject aim to ensure that pupils develop a long term interest in physical activity (Skolverket, 2011). As a teacher in PE there is different ways to achieve the National Agency goals. Interesting is how the motivation climate that the teacher creates affects the student's perceived- joy and competence, which in turn can contribute to a long term interest in the subject. Purpose This study aims to investigate the impact various motivational climates have on the student perceived- competence and joy. The study is targeted against the high school education of physical education. Method The method used to examining the issues was quantitative in the form of polls. A total of 55 persons participated in the survey. The participants were high school students in the grades 7, 8 and 9. Result The results showed that a motivational climate that was perceived as highly task-orientated was the motivational climate that got students to feel the most joy and competence. Overall, the results show that boys felt more competent and joyous than girls. Discussion The results from this study are similar to what previous researches had already concluded. But whether the perceived joy is a result of the perceived competence or the perceived motivational climate must be examined more closely. Nevertheless, it is the highly perceived task-oriented motivational climate that have the greatest effect on perceived- joy and competence. / Sammanfattning Bakgrund Som framtida idrottslärare finns det ett intresse i att skapa lektioner som får eleven engagerad i ämnet. Skolverket beskriver i sin kursplan hur undervisningen i Idrott &amp; Hälsa ska syfta till att eleven utvecklar ett långsiktigt intresse för fysisk aktivitet (Skolverket, 2011). Som idrottslärare kan du då på olika sätt och med olika förutsättningar påverka utfallet att skolverket mål. Intressant är hur det motivationsklimat som läraren skapar påverkar elevens upplevda glädje- och kompetens, som i sin tur också kan bidra till ett långsiktigt intresse för ämnet. Syfte Den här studiens syfte är att undersöka de upplevda motivationsklimatens påverkan på elevens upplevda- kompetens och glädje. Studien riktade sig mot undervisningen i Idrott &amp; Hälsa på högstadiet. Metod Metoden för att undersöka frågeställningarna var kvantitativ i form av enkäter. Totalt deltog 55 stycken i enkätundersökning. Deltagarna var högstadieelever i årskurs- 7, 8 och 9. Resultat Resultatetvisade på att det motivationsklimat som eleverna upplevde som högt uppgiftsorienterat var det motivationsklimat som eleverna upplevde mest glädje och kompetens i. Överlag så upplever sig pojkarna som mer kompetenta och glädjefyllda än flickorna. Diskussion Resultatet från den här studien liknar vad tidigare forskning redan kommit fram till. Men huruvida den upplevda glädjen är ett resultat av den upplevda kompetensen eller det upplevda motivationsklimatet måste undersökas närmare. Trots det är det högt upplevda uppgiftsorienterade motivationsklimatet är det motivationsklimat som har störst effekt på upplevd- glädje och kompetens.

Many telecommunication companies are making considerable investments to take advantage of the new business possibilities offered by 3G mobile services. Previous research on mobile network, suggests potential consumers may not adopt these 3G services provided by telecommunication companies. Given that not all new mobile telecommunication technologies are accepted by the mass market in Taiwan. Thus, there is a need for research to identify the factors that affect consumer intention to subscribe third-generation (3G) mobile services. Based on the theoretical framework of Purchase Intention Model (PIM), network effects, perceived enjoyment and optimum stimulation level, an empirical study of the mass adoption of 3G mobile services in Taiwan was conducted. Data collected from 322 users in Taiwan confirmed our hypotheses and tested against the research model. The results support the proposed model in predicting consumer intention to subscribe 3G service. This study demonstrated that perceived over performance, relative advantage, network effects, perceived enjoyment and optimum stimulation level were key factors that resulted in individuals¡¦ subscription of 3G services. Lastly, several implications for innovation technology acceptance research and 3G service management practices are discussed.

This research regards internet users with hearing-impairment as the target. The purpose is to investigate the factors which will influence hearing-impaired people use internet. This research is theoretically based on the Technology Acceptance Model (TAM). According to the literatures, join subject norm, media richness, internet self-efficacy and perceived enjoyment. A total of 255 effective samples were collected via internet questionnaire. Through the survey and analysis, we could prove that subject norm, perceived usefulness and perceived ease of use will influence the behavioral intention directly. Subject norm, media richness, perceived enjoyment and perceived ease of use will influence the perceived usefulness directly. And media richness, internet self-efficacy and perceived enjoyment will influence the perceived ease of use. According to the findings of research, there are the following suggestions. (1) Hearing-impaired communities should offer information courses of computer and internet. (2)The government should offer more services through internet, and social welfare organizations should update information as instant as possible. (3)Implement the execution of the regulations of web accessibility.

In marketing literature, the consumer engagement concept has gained the significant attention of researchers. Based on the stimuli-organism-response (S-O-R) framework, current research proposed to analyze the association between consumers' perception of characteristics of firm-generated content (FGC) on Instagram and positive electronic word of mouth by consumers through affective consumer engagement. The quantitative research technique was employed to evaluate the hypotheses and theoretical framework, and an online survey was developed for this research. The backdrop for this study is Pakistan’s restaurant Instagram accounts due to the importance of engagement in the food sector. To test the hypotheses, SPSS software is used. From the analysis and results generated from different tools, it is found that Customer engagement is significantly affected by perceived enjoyment which they get from original Instagram post of the brands they follow. Additionally, it is found that if a firm or brand puts in effort in enhancing their content catering to better perceived enjoyment and perceived originality for improving customers’ engagement, then they are more likely to improve the WOM numbers which can bring in more followers and evidently more business.

During the past years, gamification has become an influential trend in technology and the promises are widespread. The definition of gamification is known as the implementation of game elements (leaderboards, badges, points) within a non-game context. The term emerged as a result of business digitalization showing potential in increasing employee engagement and productivity. As a result of its infancy, little is known about the factors that define the use intention of a prospective user. Moreover, the role that different demographic backgrounds might have on the use intention of potential users is largely unknown.  This study has specifically sought to uncover these factors by subjecting the constructs of the Technology Acceptance Model within the context of gamification. The study investigates the factors that define the intention of users to engage in platforms based on gamification. Furthermore, by exploring the link between demographic factors and gamification use intention, this study contributes to filling an important research gap. Where prior research has predominantly focused on examining the effects of age and gender, this study has aimed to propose new findings on the factors of educational background and IT literacy.  This research has employed a quantitative research method based on the collection of survey responses. For data collection, an online survey was conducted within the organizational context of Volvo CE, 93 survey responses have been taken into consideration for the analysis. The data analysis method of choice is based on PLS-SEM, with the analysis performed through the software programmes SmartPLS and SPSS. Through this method, the relevance of the constructs to Gamification Use Intention (GUI) could be investigated, whilst the controlling effect of demographics was also uncovered. The conclusions indicate that the two main defining technological acceptance factors for gamification use intention are perceived enjoyment, and perceived usefulness. Additionally, perceived ease of use has materialized as an indirect indicator of GUI through its positive effect on enjoyment and usefulness. In the case of the demographic factors, gender was found to have no effect, age decreases GUI as individuals are older, individuals with higher IT literacy experience higher GUI, and higher GUI is found for individuals with lower educational backgrounds.

Magister Commercii - MCom / The research focuses on the acceptance of new technologies within the telecommunications industry. The study examines three models namely Innovation theory, Theory of Reason Action (TRA), and Technology Acceptance Model (TAM). This study explores the technology acceptance models in order to explain why certain monitoring officers at ICASA would prefer specific technologies over others. Models of interest could be the innovation theory, TRA and TAM. After reviewing both models, the author will examine the TAM in detail as a model of interest in this study. In turn, this model is expected to assist us to understand why monitoring officer's at ICASA would prefer a particular frequency monitoring technology over the other. / South Africa