Cognitive Mapping Decision Support for the Design of Web-Based Learning Environments

2012 ◽  
pp. 27-45
Author(s):  
Raafat George Saadé
Keyword(s):  
Online Learning ◽  
Technology Acceptance ◽  
Cognitive Mapping ◽  
Education Student ◽  
Research Model ◽  
Student Beliefs ◽  
Implementation Framework ◽  
Web Based ◽  
E Learning ◽  
Acceptance Model

There is much interest in the study of online learning in higher education. Student beliefs towards online learning may influence intentions and ultimately performance. Many studies have flaws in their research design and fall short in providing useful insight for decision making. In this regard, the need for developing practical e-learning implementation framework(s) is crucial. The main objective of this study is to employ the cognitive map technique to causal relationships among belief factors, and investigating various impact chains via simulations. The authors identify optimal e-learning design and implementation, while a partial least squares approach was performed to validate the proposed research model anchored in the Technology Acceptance Model. A survey was carried out and data were collected from 102 respondents. The proposed research model was tested and subsequent cognitive mapping simulations were performed. This study provides designers, instructors and decision makers an approach by which they can identify relevant factors for design, implementation and maintenance.

Cognitive Mapping Decision Support for the Design of Web-Based Learning Environments

2010 ◽  
Vol 5 (3) ◽  
pp. 36-53 ◽  
Author(s):  
Raafat George Saadé
Keyword(s):  
Online Learning ◽  
Technology Acceptance ◽  
Cognitive Mapping ◽  
Education Student ◽  
Research Model ◽  
Student Beliefs ◽  
Implementation Framework ◽  
Web Based ◽  
E Learning ◽  
Acceptance Model

There is much interest in the study of online learning in higher education. Student beliefs towards online learning may influence intentions and ultimately performance. Many studies have flaws in their research design and fall short in providing useful insight for decision making. In this regard, the need for developing practical e-learning implementation framework(s) is crucial. The main objective of this study is to employ the cognitive map technique to causal relationships among belief factors, and investigating various impact chains via simulations. The authors identify optimal e-learning design and implementation, while a partial least squares approach was performed to validate the proposed research model anchored in the Technology Acceptance Model. A survey was carried out and data were collected from 102 respondents. The proposed research model was tested and subsequent cognitive mapping simulations were performed. This study provides designers, instructors and decision makers an approach by which they can identify relevant factors for design, implementation and maintenance.

scholarly journals Exploring the Critical Factors, the Online Learning Continuance Usage during COVID-19 Pandemic

2021 ◽  
Vol 13 (10) ◽  
pp. 5471
Author(s):  
Chuan-Yu Mo ◽  
Te-Hsin Hsieh ◽  
Chien-Liang Lin ◽  
Yuan Qin Jin ◽  
Yu-Sheng Su
Keyword(s):  
Online Learning ◽  
Technology Acceptance ◽  
Family Support ◽  
Technology Acceptance Model ◽  
Online Teaching ◽  
Ease Of Use ◽  
Critical Factors ◽  
Factors Affecting ◽  
E Learning ◽  
Acceptance Model

In order to enable online learning to continue developing when the COVID-19 pandemic passes, this study aimed to identify the critical factors that affected the use of e-learning by university students during the pandemic. These critical factors will help to increase the efficiency of future development and deployment of online learning systems. Through a literature review, this study employed the technology acceptance model, social support, and task–technology fit as the theoretical basis to establish the framework of the online learning environment with regards to the technology acceptance model in the context of emergency management. A questionnaire survey was administered to students in universities that had implemented online teaching during the pandemic, and 552 valid responses were collected. The survey explored the factors affecting the willingness of higher education institution students to continue using online learning, and the following conclusions were drawn. (1) The easier an online learning platform was to navigate, the better it was perceived by the students, and thus the students were more willing to use it. (2) Ease of use and usefulness were associated with the teachers’ choice of platform and their ability to achieve a satisfactory fit between the course design and platform navigation, which thereby affected the students’ learning outcomes and attitude towards use. (3) The positive attitude of teachers towards teaching increased the students’ perceived ease of use of online learning. (4) During the pandemic, family support—a major support for teachers in online teaching—enhanced teachers’ attitudes towards, and willingness to provide, online teaching. A high level of support showed that the parents urged the students to learn and complete online learning tasks as instructed by the teachers, implying that family support could affect the students’ habits towards, adaptation to, and identification of online learning. The study results provide insights into the factors affecting the willingness of teachers and students to continue using e-learning platforms.

Postgraduate Students’ Perceived E-Learning Acceptance

2013 ◽  
Vol 4 (3) ◽  
pp. 51-60
Author(s):  
M. R. K. N. Yatigammana ◽  
Md. Gapar Md. Johar ◽  
Chandra Gunawardhana
Keyword(s):  
Technology Acceptance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Relative Advantage ◽  
Perceived Ease Of Use ◽  
Postgraduate Students ◽  
Geographically Dispersed ◽  
Postgraduate Studies ◽  
E Learning ◽  
Acceptance Model

E-learning is a method of delivering knowledge using information technology and electronic media for the remote users. The advantages of e-learning method can be fully achieved with the postgraduate studies as majority of the postgraduate students are engaged in learning while they are working and also geographically dispersed due to the family and work life thus physically appearing for the lecture sessions are difficult to them. This paper attempts to develop a framework to measure the postgraduate students’ perceived technology acceptance by developing a modified version of the Technology Acceptance Model (TAM) which replaces perceived usefulness and perceived ease of use in the original model of TAM with relative advantage and complexity and incorporate other variables of trialability, observability, compatibility, psychological wellbeing and social influence of the students. The developed model is validated using 30 postgraduate students from Sri Lanka and thus this model can be used in future researchers to measure the perceived e-learning acceptance of postgraduate students.

scholarly journals Validation of a TAM Extension in Agriculture: Exploring the Determinants of Acceptance of an e-Learning Platform

2021 ◽  
Vol 11 (10) ◽  
pp. 4672
Author(s):  
Ivonne Angelica Castiblanco Jimenez ◽  
Laura Cristina Cepeda García ◽  
Federica Marcolin ◽  
Maria Grazia Violante ◽  
Enrico Vezzetti
Keyword(s):  
Technology Acceptance ◽  
Time Management ◽  
Agricultural Sector ◽  
Geographical Location ◽  
Ease Of Use ◽  
Content Quality ◽  
Learning Platform ◽  
Primary Determinant ◽  
E Learning ◽  
Acceptance Model

Supporting education and training initiatives has been identified as an effective way to address Sustainable Development Challenges. In this sense, e-learning stands out as one of the most viable alternatives considering its advantages in terms of resources, time management, and geographical location. Understanding the reasons that move users to adopt these technologies is critical for achieving the desired social objectives. The Technology Acceptance Model (TAM) provides valuable guidelines to identify the variables shaping users’ acceptance of innovations. The present study aims to validate a TAM extension designed for FARMER 4.0, an e-learning application in the agricultural sector. Findings suggest that content quality (CQ) is the primary determinant of farmers’ and agricultural entrepreneurs’ perception of the tool’s usefulness (PU). Furthermore, experience (EXP) and self-efficacy (SE) shape potential users’ perceptions about ease of use (PEOU). This study offers helpful insight into the design and development of e-learning applications in the farming sector and provides empirical evidence of TAM’s validity to assess technology acceptance.

scholarly journals Facilitators and barriers to the utilization of the ACT SMART Implementation Toolkit in community-based organizations: a qualitative study

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Aksheya Sridhar ◽  
Amy Drahota ◽  
Kiersten Walsworth
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Autism Spectrum ◽  
Ease Of Use ◽  
Science Literature ◽  
Community Based ◽  
Web Based ◽  
Community Based Organizations ◽  
Facilitators And Barriers ◽  
Acceptance Model

Abstract Background Evidence-based practices (EBPs) have been shown to improve behavioral and mental health outcomes for children diagnosed with autism spectrum disorder (ASD). Research suggests that the use of these practices in community-based organizations is varied; however, the utilization of implementation guides may bridge the gap between research and practice. The Autism Community Toolkit: Systems to Measure and Adopt Research-Based Treatments (ACT SMART) Implementation Toolkit is a web-based implementation toolkit developed to guide organization-based implementation teams through EBP identification, adoption, implementation, and sustainment in ASD community-based organizations. Methods This study examined the facilitators and barriers (collectively termed “determinants”) to the utilization of this toolkit, based on the perspectives of implementation teams at six ASD community-based organizations. Two independent coders utilized the adapted EPIS framework and the Technology Acceptance Model 3 to guide qualitative thematic analyses of semi-structured interviews with implementation teams. Results Salient facilitators (e.g., facilitation teams, facilitation meetings, phase-specific activities) and barriers (e.g., website issues, perceived lack of ease of use of the website, perceived lack of resources, inner context factors) were identified, highlighting key determinants to the utilization of this toolkit. Additionally, frequent determinants and determinants that differed across adapted EPIS phases of the toolkit were noted. Finally, analyses highlighted two themes: (a) Inner Context Determinants to use of the toolkit (e.g., funding) and (b) Innovation Determinants (e.g., all website-related factors), indicating an interaction between the two models utilized to guide study analyses. Conclusions Findings highlighted several factors that facilitated the utilization of this implementation guide. Additionally, findings identified key areas for improvement for future iterations of the ACT SMART Implementation Toolkit. Importantly, these results may inform the development, refinement, and utilization of implementation guides with the aim of increasing the uptake of EBPs in community-based organizations providing services to children with ASD and their families. Finally, these findings contribute to the implementation science literature by illustrating the joint use of the EPIS framework and Technology Acceptance Model 3 to evaluate the implementation of a web-based toolkit within community-based organizations.

scholarly journals Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 128445-128462 ◽  
Author(s):  
Said A. Salloum ◽  
Ahmad Qasim Mohammad Alhamad ◽  
Mostafa Al-Emran ◽  
Azza Abdel Monem ◽  
Khaled Shaalan
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
E Learning ◽  
Acceptance Model

scholarly journals Students’ Perceptions of Flipped Approach in EFL Classroom: A Survey Research

2020 ◽  
Vol 5 (2) ◽  
pp. 393
Author(s):  
Eka Duriyatul Muhlisoh ◽  
Asih Santihastuti ◽  
Eka Wahjuningsih
Keyword(s):  
Language Learning ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Flipped Classroom ◽  
Learning Processes ◽  
Flipped Learning ◽  
Learning Platform ◽  
Writing Class ◽  
E Learning ◽  
Acceptance Model

<p>This research investigated the implementation of Flipped Approach in EFL classroom with the implementation of the E-learning platform. The participants were 42 sophomore English majors of Advanced Paragraph Writing class at Jember University. A within-subjects research design exposed all participants to have Writing Class by flipped learning and to use the E-learning platform. A one-shot survey design was used in this research by distributing two questionnaires “Perception of Flipped Learning Experience” and “Technology Acceptance Model” and doing the in-class observations as “Flipped Note” to collect the data. Data were analyzed quantitatively through SPSS 16.0 by applying the formula of Descriptive Statistics. The results of this research revealed that the implementation of the flipped approach in the classroom: (1) motivated the students in learning the materials, (2) enhanced the students’ knowledge, (3) and engaged them more in the learning tasks. They explained that the flipped approach gave them a new experience in language learning processes, in which they learned the materials before coming to the classroom so that they could criticize the materials. This way of learning aligns with the idea of student-centred learning. It is notable, however, that the students who did not learn the materials yet, could not criticize the materials and could not reach better outcomes in flipped classroom Moreover, the use of E-learning in the flipped classroom gave the students beneficial outcomes in the learning processes. Students revealed on the Technology Acceptance Model questionnaire that E-learning facilitates them properly, and they wanted to look forward to having E-learning in the future learning processes. Despite this finding, there remain limitation on the “server down” issue which needs to be straightened for more accessible E-learning among users.</p>

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