15 research outputs found

    The relationship between web enjoyment and student perceptions and learning using a web-based tutorial

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    Web enjoyment has been regarded as a component of system experience. However, there has been little targeted research considering the role of web enjoyment alone in student learning using web-based systems. To address this gap, this study aims to examine the influence of web enjoyment on learning performance and perceptions by controlling system experience as a variable in the study. 74 students participated in the study, using a web-based tutorial covering subject matter in the area of 'Computation and algorithms'. Their learning performance was assessed with a pre-test and a post-test and their learning perceptions were evaluated with a questionnaire. The results indicated that there are positive relationships between the levels of web enjoyment and perceived usefulness and non-linear navigation for users with similar, significant levels of system experience. The implications of these findings in relation to web-based learning are explored and ways in which the needs of students who report different levels of web enjoyment might be met are discussed

    Hypermedia learning and prior knowledge: Domain expertise vs. system expertise

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    Prior knowledge is often argued to be an important determinant in hypermedia learning, and may be thought of as including two important elements: domain expertise and system expertise. However, there has been a lack of research considering these issues together. In an attempt to address this shortcoming, this paper presents a study that examines how domain expertise and system expertise influence students’ learning performance in, and perceptions of, a hypermedia system. The results indicate that participants with lower domain knowledge show a greater improvement in their learning performance than those with higher domain knowledge. Furthermore, those who enjoy using the Web more are likely to have positive perceptions of non-linear interaction. Discussions on how to accommodate the different needs of students with varying levels of prior knowledge are provided based on the results

    Investigating attributes affecting the performance of WBI users

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    This is the post-print version of the final paper published in Computers and Education. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2013 Elsevier B.V.Numerous research studies have explored the effect of hypermedia on learners' performance using Web Based Instruction (WBI). A learner's performance is determined by their varying skills and abilities as well as various differences such as gender, cognitive style and prior knowledge. In this paper, we investigate how differences between individuals influenced learner's performance using a hypermedia system to accommodate an individual's preferences. The effect of learning performance is investigated to explore relationships between measurement attributes including gain scores (post-test minus pre-test), number of pages visited in a WBI program, and time spent on such pages. A data mining approach was used to analyze the results by comparing two clustering algorithms (K-Means and Hierarchical) with two different numbers of clusters. Individual differences had a significant impact on learner behavior in our WBI program. Additionally, we found that the relationship between attributes that measure performance played an influential role in exploring performance level; the relationship between such attributes induced rules in measuring level of a learners' performance

    Cognitive memory effects on non-linear video-based learning

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    During an informative learning process, information, material, facts and ideas are typically conveyed in a linear arrangement. Individuals are frequently distracted during this process with their attention being diverted to an interruption (Internet, phone call, etc). When presented with any new information, the mind evolves through problem solving and evaluation procedures. The way in which that information is processed and perceived depends on: (a) original presentation (b) examination of material and (c) an individualistic measurement of success. However, when faced with an interruption, the person is forced to deal with non-linear arrangement of information. This research investigates nonlinear presentation or seeking of material and the effects in optimizing memory retention. This study (1) analyzed the cognitive consequences of non-linear forms of information paths in comparison to standard/linear paths (2) investigated the user\u27s knowledge acquisition and control through non-linear paths during navigation while being interrupted; and, (3) determine how this non-linear presentation of instructions effect the overall learning experience. The research specifically focused on the performance levels under one of four conditions (procedural/segmented, procedural/non-segmented, non-procedural/segmented, or non-procedural/non-segmented) while interacting with a distributed web-based learning environment. The population of this study included 62 college students taking a 20 minute web-based session. Each student completed a background questionnaire, video assessment questionnaire, working memory test, work load test, a comprehension test and a learning style test. The workload test given was the NASA-TLX which examines the workload experienced during the web-based session. The learning styles test was the Group Embedded Figures Test (GEFT), which classified participants as either field independent or dependent. There was no significance in user performance levels between procedural / non-procedural tasks and segmented / non-segmented video types (p=0.1224). However, when comparing the means for each task type and technology type that procedural / segmented seemed to perform much higher than that of the other groups. There was marginal significance for performance level depending on individual learning styles (p=0.0838)

    Cultural Dimensions and Online Learning Preferences of Asian Students at Oklahoma State University in the United States

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    The purpose of this study was identifying Asian students' online learning preferences, personal problems, online learning benefits, and personal recommendations for improvement of online learning. The population of this study was the students who came from East Asia countries such as Korea, Japan, China, and Taiwan. This research used an online survey questionnaire. To quantify the demographic profile, forced-choice questions were used. To identify online learning preferences, a five-point Likert type rating scale was used. To discover online learning personal problems, benefits, and recommendations for improvements, open-ended questions were used. Descriptive statistics and thematic analysis were used to analyze the collected data. Asian students' online learning preference were measured in accordance with Henderson's multiple cultural model. A new survey instrument was developed. Correlation coefficient analysis and exploratory factor analysis were used to establish validity and reliability of the instrumenSchool of Teaching and Curriculum Leadershi
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