Gamification of E-Learning in African Universities

Gamification in education is a strategy of motivating and engaging students by integrating game design features into the instructional process. Although there is a growing body of scientific evidence supporting the effectiveness of gamification in the educational setting, some of the evidence is inconclusive and insufficient, especially in developing nations. The purpose of this study is to integrate the technology acceptance model and task technology fit to investigate instructors' intention to use gamified online learning. A sample of 50 participants across various African institutions was involved in this study. Structural equation modelling implemented via partial least squares (PLS) is used to test the research hypotheses. The results revealed that intention to use gamified online learning was significantly and positively influenced by task technology fit, perceived usefulness, and attitude. Notably, subjective norms, facilitating conditions, and computer anxiety failed to predict behavioural intention. The authors discuss the implications of the findings and propose future directions.

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Investigating Users’ Continued Usage Intentions of Online Learning Applications

Information ◽

10.3390/info10060198 ◽

2019 ◽

Vol 10 (6) ◽

pp. 198 ◽

Cited By ~ 4

Author(s):

Zhi Ji ◽

Zhenhua Yang ◽

Jianguo Liu ◽

Changrui Yu

Keyword(s):

Online Learning ◽

Online Education ◽

Technology Acceptance ◽

Structural Equation ◽

Research Field ◽

Ease Of Use ◽

Perceived Usefulness ◽

Perceived Ease Of Use ◽

Acceptance Model ◽

Facilitating Conditions

Understanding users’ continued usage intentions for online learning applications is significant for online education. In this paper, we explore a scale to measure users’ usage intentions of online learning applications and empirically investigate the factors that influence users’ continued usage intentions of online learning applications based on 275 participant data. Using the extended Technology Acceptance Model (TAM) and the Structural Equation Modelling (SEM), the results show that males or users off campus are more likely to use online learning applications; that system characteristics (SC), social influence (SI), and perceived ease of use (PEOU) positively affect the perceived usefulness (PU), with coefficients of 0.74, 0.23, and 0.04, which imply that SC is the most significant to the PU of online learning applications; that facilitating conditions (FC) and individual differences (ID) positively affect the PEOU, with coefficients of 0.72 and 0.37, which suggest that FC is more important to the PEOU of online learning applications; and that both PEOU and PU positively affect the behavioral intention (BI), with coefficients of 0.83 and 0.51, which indicate that PEOU is more influential than PU to users’ continued usage intentions of online learning applications. In particular, the output quality, perceived enjoyment, and objective usability are critical to the users’ continued usage intentions of online learning applications. This study contributes to the technology acceptance research field with a fast growing market named online learning applications. Our methods and results would benefit both academics and managers with useful suggestions for research directions and user-centered strategies for the design of online learning applications.

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Penerimaan mahasiswa terhadap pembelajaran daring selama pandemi Covid-19 dengan pendekatan Technology Acceptance Model

Jurnal Inovasi Teknologi Pendidikan ◽

10.21831/jitp.v8i2.39755 ◽

2021 ◽

Vol 8 (2) ◽

Author(s):

Nur Latifah ◽

Sulis Rokhmawanto ◽

Purwanto Purwanto ◽

Laili Syarifah

Keyword(s):

Online Learning ◽

Technology Acceptance ◽

Structural Equation ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Intention To Use ◽

Test Results ◽

Perceived Ease Of Use ◽

Acceptance Model

Pandemi Covid-19 memberikan perubahan dalam proses pembelajaran di lembaga pendidikan termasuk pada pendidikan tinggi. Perubahan tersebut dapat dilihat dari pelaksanaan pembelajaran dalam satu tahun terakhir yang harus dilaksanakan secara daring. Pembelajaran daring dilaksanakan guna mendukung kebijakan pemerintah berupa Pembatasan Berskala Besar (PSBB). Para dosen telah berupaya melaksanakan pembelajaran daring dengan menggunakan berbagai aplikasi yang telah tersedia seperti zoom meeting, google meet, quiz dan aplikasi lainnya. Penelitian ini bertujuan untuk membuktikan secara empiris terkait intention to use dalam pembelajaran daring dengan attitude sebagai variabel mediasi. Data penelitian sebanyak 297 yang dikumpulkan secara daring. Responden penelitian merupakan mahasiswa aktif di berbagai perguruan tinggi yang ada di Kabupaten Magelang. Data penelitian dianalisis structural equation modeling dengan menggunakan software Smart PLS. Hasil pengujian membuktikan bahwa pedagogic competence, perceived ease of use dan perceived usefulness dapat mempengaruhi attitude. Hasil pengujian lainnya membuktikan perceived usefulness dan attitude berpengaruh terhadap intention to use, namun pedagogic competence tidak terbukti. Hasil pengujian pengaruh tidak langsung dapat diketahui bahwa attitude dapat memediasi hubungan antara pedagogic competence, perceived ease of use dan perceived usefulness terhadap intention to use.Student acceptance of online learning during the Covid-19 pandemic with the Technology Acceptance Model approach AbstractCovid-19 pandemic provided a change in the learning process in educational institutions included in higher education. These changes could be seen from the implementation of learning in the past year which should be implemented online. Online learning was be implemented to support government policies in the form of Large-Scale Restrictions (PSBB). The lecturers had made efforts to implement online learning by using various available applications such as zoom meetings, google meet, quizzes, and other applications. This study aims to prove empirically the intention to use online learning with attitude as a mediating variable. The research data were 297 collected online. Research respondents were active students in various universities in Magelang Regency. The research data were analyzed structural equation modeling using Smart PLS software. The test results prove that pedagogic competence, perceived ease of use, and perceived usefulness could affect attitude. Other test results prove that perceived usefulness and attitude had an effect on the intention to use, but pedagogic competence is not proven. The results of the indirect effect test show that attitude can mediate the relationship between pedagogic competence, perceived ease of use, and perceived usefulness for intention to use.

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A comprehensive acceptance model for smart home services

International Journal of Data and Network Science ◽

10.5267/j.ijdns.2021.10.005 ◽

2022 ◽

Vol 6 (1) ◽

pp. 45-58 ◽

Cited By ~ 1

Author(s):

Amer Al-Husamiyah ◽

Mahmood Al-Bashayreh

Keyword(s):

Technology Acceptance ◽

Smart Home ◽

Structural Equation ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Smart Devices ◽

Intention To Use ◽

Perceived Ease Of Use ◽

Acceptance Model

Smart home services (SHSs) afford users an effective lifestyle management system, which provides human-oriented networking of smart devices and applications that enable users to control their homes from anywhere at any time. Despite the benefits of SHSs, however, their acceptance is very low. There remains a gap in the literature in terms of a comprehensive model that addresses users’ intention to use SHSs. To address this gap, the present study explored the factors that influence SHS acceptance among users based on well-established theoretical frameworks, such as the technology acceptance model, innovation diffusion theory, and the theory of planned behavior. To this end, the study integrated four additional factors, namely, perceived convenience, perceived connectedness, perceived cost, and perceived privacy risk, into the exploration and carried out structural equation modeling to quantitatively determine the effects of these factors. Questionnaires were administered to 750 users. The findings indicated that perceived compatibility, perceived convenience, perceived connectedness, perceived cost, perceived behavioral control with perceived usefulness, and perceived ease of use directly and indirectly exerted a significant influence on users’ intention to use SHSs.

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User Acceptance of IoT Applications in Retail Industry

The Internet of Things in the Modern Business Environment - Advances in E-Business Research ◽

10.4018/978-1-5225-2104-4.ch002 ◽

2017 ◽

pp. 28-49 ◽

Cited By ~ 2

Author(s):

M. S. Balaji ◽

Sanjit Kumar Roy ◽

Aditi Sengupta ◽

Alain Chong

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Customer Experience ◽

Ease Of Use ◽

Perceived Usefulness ◽

Internet Technology ◽

Iot Applications ◽

Task Technology Fit ◽

Customer Attitude ◽

Acceptance Model

With the rapid advancements in the internet technology, many retailers are embracing internet of things technology to enhance customer experience and improve efficiency. Specifically, many customer-facing IoT technologies such as augmented reality, smart shopping carts, smart displays, and RFID tags are expected to change the way customers experience retailing shopping. Drawing on the technology acceptance model, trust perspective, task-technology fit, and organizational reputation perspective, this study examines the customer adoption of IoT applications in retail setting. Responses collected from 289 actual retail shoppers were analyzed using structural equation modeling. Results reveal that perceived usefulness, perceived ease of use, task-technology fit, retailer reputation, and initial trust are significant predictors of customer attitude and intentions to use IoT in retail stores. The study findings have key implications for academicians and retailers in improving customer acceptance and in delivering superior customer experience.

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Determinants of intention to use Islamic banking

International Journal of Islamic and Middle Eastern Finance and Management ◽

10.1108/imefm-05-2017-0135 ◽

2019 ◽

Vol 13 (1) ◽

pp. 147-163 ◽

Cited By ~ 1

Author(s):

Samia Ayyub ◽

Wang Xuhui ◽

Muhammad Asif ◽

Rana Muhammad Ayyub

Keyword(s):

Consumer Behavior ◽

Technology Acceptance ◽

Structural Equation ◽

Perceived Usefulness ◽

Practical Significance ◽

Equation Modeling ◽

Islamic Banking ◽

Intention To Use ◽

Content Type ◽

Acceptance Model

Purpose This paper aims to explore the determinants of intention to use Islamic banking and compare the consumer behavior of users and non-users of Islamic banking. This study incorporates the theory of planned behavior in Islamic banking perspective with an additional construct from technology acceptance model. Design/methodology/approach The research is quantitative in nature, and survey questionnaire was used to get data from four cities of Pakistan. The study manages to get 300 questionnaires from which only 264 were usable for analysis. The structural equation modeling was used for testing the hypotheses. Findings The result shows that perceived behavior control and perceived usefulness are the most significant predictors of intention to use of Islamic banking among users and non-users. Attitude turns out to be a non-significant factor for non-users of Islamic banking. Subjective norm is also found to be non-significant with intention to use Islamic banking in both groups. Originality/value This study has theoretical as well as practical significance in the subject of consumer behavior in Islamic banking. Theoretically, it attempts to fill the gap caused by the scarcity of research in exploring the consumer behavior towards Islamic banking in Pakistan. This study provides insights into the consumer behavior of users and non-users of Islamic banking and thus presents a comparison. Practically, this study provides guidelines for Islamic banks in introduction, propagation and promotion of Islamic banking products and services to establish Islamic banking as a social norm.

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Consumer acceptance of smart speakers: a mixed methods approach

Journal of Research in Interactive Marketing ◽

10.1108/jrim-01-2018-0022 ◽

2018 ◽

Vol 12 (4) ◽

pp. 418-431 ◽

Cited By ~ 15

Author(s):

Pascal Kowalczuk

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Online Survey ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Smart Devices ◽

Intention To Use ◽

Content Type ◽

Acceptance Model

PurposeVoice-activated smart speakers such as Amazon Echo and Google Home were recently developed and are gaining popularity. Understanding and theorizing the underlying mechanisms that encourage or impede consumers to use smart speakers is fundamental for enhancing acceptance and future development of these new devices. Therefore, building on technology acceptance research, this study aims to develop and test an acceptance model for investigating consumers’ intention to use smart speakers.Design/methodology/approachFirst, antecedents that may significantly affect the usage intention of smart speakers were identified through an explorative approach by a netnographic analysis of customer reviews (N= 2,186) and Twitter data (N= 899). Afterward, these results and contemporary literature were used to develop and validate an acceptance model for smart speakers. Structural equation modeling (SEM) was used to test the proposed hypotheses on data collected from 293 participants of an online survey.FindingsBesides perceived ease of use and perceived usefulness, the quality and diversity of a system, its enjoyment, consumer’s technology optimism and risk (surveillance anxiety and security/privacy risk) strongly affect the acceptance of smart speakers. Among these variables, enjoyment had the strongest effect on behavioral intention to use smart speakers.Originality/valueThis is the first study that incorporates netnography and SEM for investigating technology acceptance and applies it to the field of interactive smart devices.

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Students’ intention to use high-immersion virtual reality systems for learning paragraph structure: a PLS-SEM exploratory study

CALL for widening participation: short papers from EUROCALL 2020 ◽

10.14705/rpnet.2020.48.1203 ◽

2020 ◽

pp. 291-297

Author(s):

Ethan Douglas Quaid ◽

Austin Pack ◽

Alex James Barrett ◽

Litong Zhou

Keyword(s):

Virtual Reality ◽

Technology Acceptance ◽

Undergraduate Students ◽

Structural Equation ◽

Perceived Usefulness ◽

Equation Modeling ◽

Short Paper ◽

Intention To Use ◽

Antecedent Conditions ◽

Acceptance Model

This short paper reports the findings of a study exploring English for Academic Purposes (EAP) students’ behavioral intention to use a high-immersion Virtual Reality (VR) system for learning paragraph structure. The study measured relationships between variables that may lead to learners’ intention to use the high-immersion VR Reality system through leveraging a hypothesized theoretical framework based upon a widely used technology acceptance model. Quantitative data were collected from 134 Sino-British English as a medium of instruction by university undergraduate students enrolled in EAP classes by means of a post-participation questionnaire. A Partial Least Squares - Structural Equation Modeling (PLS-SEM) exploratory analysis was executed. Results suggested that students’ intention to use the high-immersion VR learning environment was primarily determined by its usefulness for learning and not how easy it was to use. Furthermore, the degree to which the learners felt confident in their ability to operate the system had a large impact on how easy they perceived it was to use. And finally, the antecedent conditions of learners had little impact on the students’ perceived usefulness of the VR system.

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TECHNOLOGY ACCEPTANCE MODEL (TAM) DALAM SURVEI BIDANG KEPENDUDUKAN DAN KELUARGA BERENCANA

Jurnal Kebijakan Publik ◽

10.31258/jkp.9.2.p.71-78 ◽

2019 ◽

Vol 9 (2) ◽

pp. 71

Author(s):

Sukarno Sukarno ◽

Nur Laila Meilani

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Structural Equation ◽

Ease Of Use ◽

Perceived Usefulness ◽

Intention To Use ◽

Perceived Ease Of Use ◽

Actual System ◽

Behavior Intention ◽

Acceptance Model

Technology Acceptance Model (TAM) dalam Survei Bidang Kependudukan danKeluarga Berencana. Terjadi perubahan dalam teknik atau cara pengumpulan data dalam surveidi bidang kependudukan dan Keluarga Berencana/KB (selanjutnya disebut Survei Kinerja danAkuntabilitas Program/SKAP) yang semula dilakukan secara manual dan paper based menjadisistem yang berbasis smartphone yang menggunakan platform Open Data Kit (ODK). Sistemini mengubah semua rangkaian pengumpulan data menjadi paperless dan electronic based.Penelitian ini bertujuan untuk (a) mengukur tingkat pengaruh perceived ease of use terhadapperceived usefulness ; (b) mengukur tingkat pengaruh perceived ease of use terhadapattitude towards using: (c) mengukur tingkat pengaruh perceived usefulness terhadap behaviorintention to use; (d) mengukur tingkat pengaruh perceived usefulness terhadap attitude towardsusing; (e) mengukur tingkat pengaruh attitude towards using terhadap behavior intention touse; dan (f) mengukur tingkat pengaruh behavior intention to use terhadap actual system usedalam survei berbasis smartphone bidang kependudukan dan keluarga berencana di PulauSumatera. Populasi dalam kajian ini adalah seluruh enumerator dan supervisor survei SKAPyang ada di Pulau Sumatera, kemudian sampelnya ditetapkan menurut teknik estimasi maximumlikehood (ML) yaitu minimal 100 dna maksimal 400 responden. Analisis data dilakukan denganSEM (Structural Equation Modelling) dengan software AMOS (Analysis of Moment Structure).Hasil penelitian ini menunjukkan bahwa dari enam hipotesis yang diajukan, terdapat dua hipotesisyang diterima, yaitu (a) perceived ease of use mempunyai hubungan yang positif denganPerceived usefulness dengan nilai CR -4.31 >±1,96 dan angka probabilitasnya 0,001 (<0,05)dan (b) behavioral Intention to Use mempunyai hubungan yang positif dengan Actual SystemUse dengan CR = 2,819 >±1,96 dan probabilitas/P = 0,005 (<0,05).

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Platform Adoption Factors in the Internet Industry

Sustainability ◽

10.3390/su10093185 ◽

2018 ◽

Vol 10 (9) ◽

pp. 3185 ◽

Cited By ~ 7

Author(s):

Junic Kim

Keyword(s):

Technology Acceptance ◽

Structural Equation ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Intention To Use ◽

Perceived Ease Of Use ◽

Positive Effects ◽

Internet Industry ◽

Acceptance Model

This study examines the factors influencing the choices of Internet platform services by applying the technology acceptance model. For this purpose, the analysis is conducted with 222 people who use different types of Internet platforms by utilizing structural equation modeling. The results show that perceived usefulness had positive effects on the intention to use, perceived ease of use, diversity, and security risks affected by the perceived usefulness, and the indirect influences on the intention to use. In addition, satisfaction (in relation to service quality) was found to affect both perceived ease of use and perceived usefulness. This research is significant because it will make it possible to predict users’ perceptions of Internet platforms, which is important for establishing relevant strategies.

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