Conceptual design framework for information visualization to support multidimensional datasets in higher education institutions
Information Visualization (InfoVis) enjoys diverse adoption and applicability because of its strength in solving the problem of information overload inherent in institutional data. Policy and decision makers of higher education institutions (HEIs) are also experiencing information overload while in...
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| Format: | Thesis |
| Language: | en en |
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2016
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| Online Access: | https://etd.uum.edu.my/6046/1/s95110_01.pdf https://etd.uum.edu.my/6046/2/s95110_02.pdf https://etd.uum.edu.my/6046/ |
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| _version_ | 1833436608206995456 |
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| author | Ayobami, Akanmu Semiu |
| author_facet | Ayobami, Akanmu Semiu |
| author_sort | Ayobami, Akanmu Semiu |
| building | UUM Library |
| collection | Institutional Repository |
| content_provider | Universiti Utara Malaysia |
| content_source | UUM Electronic Theses |
| continent | Asia |
| country | Malaysia |
| description | Information Visualization (InfoVis) enjoys diverse adoption and applicability because of its strength in solving the problem of information overload inherent in institutional data. Policy and decision makers of higher education institutions (HEIs)
are also experiencing information overload while interacting with students‟ data, because of its multidimensionality. This constraints decision making processes, and therefore requires a domain-specific InfoVis conceptual design framework which
will birth the domain‟s InfoVis tool. This study therefore aims to design HEI Students‟ data-focused InfoVis (HSDI) conceptual design framework which
addresses the content delivery techniques and the systematic processes in actualizing the domain specific InfoVis. The study involved four phases: 1) a users‟ study to investigate, elicit and prioritize the students‟ data-related explicit knowledge preferences of HEI domain policy. The corresponding students‟ data dimensions are then categorised, 2) exploratory study through content analysis of InfoVis design literatures, and subsequent mapping with findings from the users‟ study, to propose the appropriate visualization, interaction and distortion techniques for delivering the domain‟s explicit knowledge preferences, 3) conceptual development of the design framework which integrates the techniques‟ model with its design process–as identified from adaptation of software engineering and InfoVis design models, 4) evaluation of the proposed framework through expert review, prototyping, heuristics evaluation, and users‟ experience evaluation. For an InfoVis that will appropriately
present and represent the domain explicit knowledge preferences, support the students‟ data multidimensionality and the decision making processes, the study found that: 1) mouse-on, mouse-on-click, mouse on-drag, drop down menu, push
button, check boxes, and dynamics cursor hinting are the appropriate interaction techniques,
2) zooming, overview with details, scrolling, and exploration are the appropriate distortion techniques, and 3) line chart, scatter plot, map view, bar chart and pie chart are the appropriate visualization techniques. The theoretical support to the proposed framework suggests that dictates of preattentive processing theory, cognitive-fit theory, and normative and descriptive theories must be followed for InfoVis to aid perception, cognition and decision making respectively. This study contributes to the area of InfoVis, data-driven decision making process, and HEI students‟ data usage process. |
| format | Thesis |
| id | my.uum.etd-6046 |
| institution | Universiti Utara Malaysia |
| language | en en |
| publishDate | 2016 |
| record_format | eprints |
| spelling | my.uum.etd-60462021-04-05T01:59:24Z https://etd.uum.edu.my/6046/ Conceptual design framework for information visualization to support multidimensional datasets in higher education institutions Ayobami, Akanmu Semiu TK7885-7895 Computer engineering. Computer hardware LB2300 Higher Education Information Visualization (InfoVis) enjoys diverse adoption and applicability because of its strength in solving the problem of information overload inherent in institutional data. Policy and decision makers of higher education institutions (HEIs) are also experiencing information overload while interacting with students‟ data, because of its multidimensionality. This constraints decision making processes, and therefore requires a domain-specific InfoVis conceptual design framework which will birth the domain‟s InfoVis tool. This study therefore aims to design HEI Students‟ data-focused InfoVis (HSDI) conceptual design framework which addresses the content delivery techniques and the systematic processes in actualizing the domain specific InfoVis. The study involved four phases: 1) a users‟ study to investigate, elicit and prioritize the students‟ data-related explicit knowledge preferences of HEI domain policy. The corresponding students‟ data dimensions are then categorised, 2) exploratory study through content analysis of InfoVis design literatures, and subsequent mapping with findings from the users‟ study, to propose the appropriate visualization, interaction and distortion techniques for delivering the domain‟s explicit knowledge preferences, 3) conceptual development of the design framework which integrates the techniques‟ model with its design process–as identified from adaptation of software engineering and InfoVis design models, 4) evaluation of the proposed framework through expert review, prototyping, heuristics evaluation, and users‟ experience evaluation. For an InfoVis that will appropriately present and represent the domain explicit knowledge preferences, support the students‟ data multidimensionality and the decision making processes, the study found that: 1) mouse-on, mouse-on-click, mouse on-drag, drop down menu, push button, check boxes, and dynamics cursor hinting are the appropriate interaction techniques, 2) zooming, overview with details, scrolling, and exploration are the appropriate distortion techniques, and 3) line chart, scatter plot, map view, bar chart and pie chart are the appropriate visualization techniques. The theoretical support to the proposed framework suggests that dictates of preattentive processing theory, cognitive-fit theory, and normative and descriptive theories must be followed for InfoVis to aid perception, cognition and decision making respectively. This study contributes to the area of InfoVis, data-driven decision making process, and HEI students‟ data usage process. 2016 Thesis NonPeerReviewed text en https://etd.uum.edu.my/6046/1/s95110_01.pdf text en https://etd.uum.edu.my/6046/2/s95110_02.pdf Ayobami, Akanmu Semiu (2016) Conceptual design framework for information visualization to support multidimensional datasets in higher education institutions. PhD. thesis, Universiti Utara Malaysia. |
| spellingShingle | TK7885-7895 Computer engineering. Computer hardware LB2300 Higher Education Ayobami, Akanmu Semiu Conceptual design framework for information visualization to support multidimensional datasets in higher education institutions |
| title | Conceptual design framework for information visualization to support multidimensional datasets in higher education institutions |
| title_full | Conceptual design framework for information visualization to support multidimensional datasets in higher education institutions |
| title_fullStr | Conceptual design framework for information visualization to support multidimensional datasets in higher education institutions |
| title_full_unstemmed | Conceptual design framework for information visualization to support multidimensional datasets in higher education institutions |
| title_short | Conceptual design framework for information visualization to support multidimensional datasets in higher education institutions |
| title_sort | conceptual design framework for information visualization to support multidimensional datasets in higher education institutions |
| topic | TK7885-7895 Computer engineering. Computer hardware LB2300 Higher Education |
| url | https://etd.uum.edu.my/6046/1/s95110_01.pdf https://etd.uum.edu.my/6046/2/s95110_02.pdf https://etd.uum.edu.my/6046/ |
| url_provider | http://etd.uum.edu.my/ |