Usability heuristics evaluation for child e-learning applications

Alsumait, Asmaa; Al-Osaimi, Asma

doi:10.1145/1806338.1806417

Cited by 53 publications

(17 citation statements)

References 14 publications

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“…Interfaces that motivate learners are realistic, easy-to-use, challenging and engaging". In assessing usability others in [4] introduced a heuristic evaluation for child e-learning applications (HECE) and considered motivation to learn, along with other usability measurements.…”

Section: Motivation To Learn In Usability Assessmentmentioning

confidence: 99%

How Usable Are the Learning Management Systems? The Users Have their Say

Althobaiti¹,

Mayhew²

2016

EAI Endorsed Transactions on e-Learning

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E-learning is an innovative way of learning that is both symbolic and derivative of 'the information age.' When used as part of the learning process, it provides users with greater flexibility in terms of time and location. For an E-learning application to be considered effective, it should provide its users with a certain standard of usability; otherwise, the learning process is likely to become cumbersome and frustrating for the learner. Focusing on this dilemma, this paper aims to assess the usability of the Jusur Learning Management System (LMS) that is used in higher education in Saudi Arabia. Nine factors have been incorporated into a survey to evaluate the system: content, learning and support, visual design, navigation, accessibility, interactivity, self-assessment, learnability, and motivation. The results show that E-learners who use the Jusur LMS tend to find that Jusur is a usable and desirable application in terms of its users' experiences and perspectives.

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Section: Motivation To Learn In Usability Assessmentmentioning

confidence: 99%

How Usable Are the Learning Management Systems? The Users Have their Say

Althobaiti¹,

Mayhew²

2016

EAI Endorsed Transactions on e-Learning

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“…The International Journal of E-Learning and Educational Technologies in the Digital Media (IJEETDM) 1(1): [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31] The Society of Digital Information and Wireless Communication (SDIWC), 2014 (ISSN: 2410-0439) acceptable student use of mobile phones [2].However this percentage is quite less in developing countries. Studies indicate that students achieved a higher percentage in math's and reading skills at suitable grade after teachers started incorporating the touch screen devices in the classrooms [2].…”

Section: Mobile Learning and Usabilitymentioning

confidence: 99%

Section: Review Of Guidelines From Literaturementioning

confidence: 99%

“…The International Journal of E-Learning and Educational Technologies in the Digital Media (IJEETDM) 1(1): [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31] The Society of Digital Information and Wireless Communication (SDIWC), Jan -2015(ISSN: 2410 and user experience are the important factors in creating successful applications. Novelty of mobile applications and their unique aspects become the key challenges in measuring the usability of mobile devices [7].…”

Section: Introductionmentioning

confidence: 99%

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A Measurement Model Based on Usability Metrics for Mobile Learning User Interface for Children

Tahir¹,

Arif²

2015

IJEETDM

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Mobile technology is becoming an integral learning tool for children. The Interface of mobile educational applications (apps) should be usable and compatible with the cognitive skills of children in order to provide an effective learning experience. Usability is a key quality attributes to measure the usefulness of application; therefore evaluating usability is a vital task. With the rapid advancement of mobile technology, usability of educational apps for children gains attention of modern researchers. This paper focuses on providing a measurement model for evaluating the interface of mobile educational apps designed for children .The paper attempts to review the existing interface design guidelines and consequently develop a measurement model. The model serves as basis for comprehensive usability evaluation consisting of guidelines, usability characteristics, goals (interface design criteria), questions, usability metrics (objective and subjective) and two evaluation instruments (task list and satisfaction questionnaire).To ensure the effectiveness and reliability of the model, it was validated by applying the proposed metrics and evaluation instruments in a usability study conducted on two android educational apps for children. Results gathered from usability testing proved that the Model is applicable for evaluation of mobile educational apps for children.

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“…For example, empathic virtual human or social software can be included on an E-learning platform to increase learners' performance (Wirtky, Laumer, Eckhardt and Weitzel, 2013). Last, some studies have focused on the usability test of an Elearning platform (Alsumait and Osaimi, 2009). Surveys and physiological sensors are the main methods in terms of evaluating the usability of system, the suitability of learning materials, or the performance of learners.…”

Section: Types Of Studies On E-learningmentioning

confidence: 99%

Physiological Measurement on Students’ Engagement in a Distributed Learning Environment

Wang

César

2015

Proceedings of the 2nd International Conference on Physiological Computing Systems

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Abstract:Measuring students' engagement in a distributed learning environment is a challenge. In particular, a teacher gives a lecture at one location, while at the same time the remote students watch the lecture through a display screen. In such situation, it is difficult for the teacher to know the reaction at the remote location.In this paper, we conducted a field study to measure students' engagement by using galvanic skin response (GSR) sensors, where students simultaneously watched the lecture at the two locations. Our results showed the students' GSR response was aligned with the surveys, which means that during a distributed learning environment, GSR sensors can be used as an indicator on students' engagement. Furthermore, our user studies resulted in non-engaging student learning experiences that would be difficult obtained at a lab condition. Based on the findings, we found that the patterns of GSR readings were rather different when compared to the previous relevant studies, where users were engaged. In addition, we noticed that the density of GSR response at the remote location was higher when compared to the one at the lecture room. We believe that our studies are beneficial on physiological computing, as we first presented the patterns of GSR sensors on non-engaging user experiences. Moreover, as an alternative method, GSR sensors can be easily implemented in a distributed learning environment to provide feedback to teachers.

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Usability heuristics evaluation for child e-learning applications

Cited by 53 publications

References 14 publications

How Usable Are the Learning Management Systems? The Users Have their Say

How Usable Are the Learning Management Systems? The Users Have their Say

A Measurement Model Based on Usability Metrics for Mobile Learning User Interface for Children

Physiological Measurement on Students’ Engagement in a Distributed Learning Environment

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