Task-Technology Fit Analysis: Measuring the Factors that influence Behavioural Intention to Use the Online Summary-with Automated Feedback in a MOOCs Platform

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS

ACS Applied Bio Materials Pub Date : 2024-03-15 DOI:10.34190/ejel.22.1.3094

Saida Ulfa, Ence Surahman, Izzul Fatawi, Hirashima Tsukasa

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Abstract

The purpose of this study was to evaluate the factors that influence behavioural intention (BI) to use the Online Summary-with Automated Feedback (OSAF) in a MOOCs platform. Task-Technology Fit (TTF) was the main framework used to analyse the match between task requirements and technology characteristics, predictng the utilisation of the technology. The relationships between TTF and BI was moderated by students’ performance. This TTF provides an illustration of the extent to which the suitability of technology support for tasks will affect the performance and utilization of technology. There were 9 hypotheses examined in this study. The participants consisted of 151 students at a public university in East Java, Indonesia. In order to analyse the collected data, PLS-SEM (partial least squares - structural equation modeling) was employed, using SmartPLS 3.0. In this study, several points can be concluded, namely: 1) task characteristics and technology characteristics were not positively and significantly effected by TTF, while students' characteristics had a positive and significant effect on TTF; 2) TTF and utilization which are influenced by social influence, have a positive effect on performance impact. In this case the performance impact is constructed from 3 dimensions, namely: learning performance, personal integrity, self-confidence, except TTF were not postitive and were significantly affected by self-confidence. 3) TTF and performance impact positively influence behavioural intention, except in the dimension of performance impact, personal integrity was not postively and significantly effected by behavioural intention.

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任务-技术契合度分析：测量 MOOCs 平台中影响使用在线总结（带自动反馈）的行为意向的因素

本研究的目的是评估影响在 MOOCs 平台上使用带自动反馈的在线总结（OSAF）的行为意向（BI）的因素。任务-技术契合度（TTF）是用于分析任务要求与技术特征之间匹配度的主要框架，可预测技术的使用情况。TTF 与 BI 之间的关系受学生成绩的调节。这种 TTF 说明了技术支持对任务的适合程度会在多大程度上影响成绩和技术的使用。本研究共探讨了 9 个假设。参与者包括印度尼西亚东爪哇一所公立大学的 151 名学生。为了分析收集到的数据，研究人员使用 SmartPLS 3.0 进行了 PLS-SEM（偏最小二乘法-结构方程模型）分析。本研究可得出以下几点结论，即1）任务特征和技术特征对 TTF 没有正向显著影响，而学生特征对 TTF 有正向显著影响；2）受社会影响的 TTF 和利用率对绩效影响有正向影响。本案例中，绩效影响由三个维度构建，即学习成绩、个人品德、自信心，除 TTF 不是正向影响外，自信心对 TTF 有显著影响。3) TTF 和绩效影响对行为意向有正向影响，但在绩效影响维度中，个人诚信对行为意向没有正向影响，且对行为意向有显着影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Applied Bio Materials Chemistry-Chemistry (all)

CiteScore

9.40

自引率

2.10%

发文量

464

期刊介绍： ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.