Analysis of the technology acceptance model in examining students' behavioural intention to use an e-portfolio system

By Ronnie H. Shroff, Christopher C. Deneen, Eugenia M. W. Ng. 2011

406 citations recorded by the source corpus.

In recent years, instructors have had an increasing interest in integrating Internet based technologies into their classroom as part of the learning environment. Compared to studies on other information systems, student users' behaviour towards e-portfolios have not been assessed and thoroughly understood. This paper analyses the Technology Acceptance Model (TAM) in order to examine students' behavioural intention to use an electronic portfolio system, meaning how students use and appropriate it within the specific framework of a course. An E-Portfolio Usage Questionnaire was developed using existing scales from prior TAM instruments and modified where appropriate. Seventy-two participants completed the survey questionnaire measuring their responses to perceived usefulness (PU), perceived ease of use (PEOU), attitudes towards usage (ATU) and behavioural intention to use (BIU) the e-portfolio system. The results of the study indicated that students' perceived ease of use (PEOU) had a significant influence on attitude towards usage (ATU). Subsequently, perceived ease of use (PEOU) had the strongest significant influence on perceived usefulness (PU). The research further demonstrated that individual characteristics and technological factors may have a significant influence on instructors to adopt e-portfolio into their courses. Results suggest that TAM is a solid theoretical model where its validity can extend to an e-portfolio context.

Subfields: Communication, Education, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/801214a44730b85635c1b6a8249838467d09b238

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. Saleh Alharbi
2. Ahmad Samed Al-Adwan
3. Steve Drew
4. Fazilat Siddiq
5. Jo Tondeur
6. Ronny Scherer

In Education

1. Saleh Alharbi
2. Steve Drew
3. Fazilat Siddiq
4. Jo Tondeur
5. Ronny Scherer

In Information Systems and Management

1. Saleh Alharbi
2. Ahmad Samed Al-Adwan
3. Steve Drew
4. Fazilat Siddiq
5. Jo Tondeur
6. Ronny Scherer

Citations in the corpus

• Acceptance of Automated Road Transport Systems (ARTS): An adaptation of the UTAUT model (2016, unknown): “Next, to understand whether respondents’ expectancies around the ARTS vehicles were related to their intention to use it, we developed measures of Performance Expectancy, Effort Expectancy, Social Influence and Behavioural Intention, based on the relevant constructs identified by Davis (1989) and Ve”
• The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education (2019, methodology): “To illustrate, the Shro ff , Deneen, and Ng (2011) study analyzed the Technology Acceptance Model to examine university students' behavioral intention to use an electronic portfolio system, meaning how students use and appropriate it within the speci fi c framework of a course.”
• Using the Technology Acceptance Model in Understanding Academics' Behavioural Intention to Use Learning Management Systems (2014, methodology): “However, this research has used students as subjects [30-33], and students are outside of the current study’s research scope.”
• Exploring Students Acceptance of E-Learning Using Technology Acceptance Model in Jordanian Universities. (2013, result): “As in other studies (Shroff et al., 2011; Davies, 1989), PEOU has a significant effect on both PU and ATU.”