Designing computer-based learning contents: influence of digital zoom on attention

Glaser, Manuela; Lengyel, Dominik; Toulouse, Catherine; Schwan, Stephan

doi:10.1007/s11423-016-9495-9

Cited by 14 publications

(15 citation statements)

References 40 publications

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“…Dudek et al, 2015) and adaptation of representation quality, such as level of detail or visual styling (e.g. Apollonio, 2016;Lengyel and Toulouse, 2011 Glaser et al, 2017). • Scaling has been frequently assessed as an important parameter for perceiving architecture (Glaser et al, 2017;Yaneva, 2005).…”

Section: What Factors Influence Perception?mentioning

confidence: 99%

“…Apollonio, 2016;Lengyel and Toulouse, 2011 Glaser et al, 2017). • Scaling has been frequently assessed as an important parameter for perceiving architecture (Glaser et al, 2017;Yaneva, 2005). • Visual acuity is closely related to scale, with regard to the ability to distinguish details, but unlike scale, a main factor influencing it is distance to the object (e.g.…”

Section: What Factors Influence Perception?mentioning

confidence: 99%

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Where Are We Now on the Road to 4d Urban History Research and Discovery?

Münster

Maiwald

Bruschke

et al. 2021

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. From 2016 to 2021 the research group HistStadt4D investigated and developed methods and technologies to transfer extensive repositories of historical photographs and their contextual information into a 3D spatial model, with an additional temporal component. The aim was to make content accessible to researchers and the public, via a 4D browser and location-dependent augmented reality representation. Against this background, in this article we present the achievements of the project, lessons learned, and current state of 4D urban history research and discovery based on historical photographs.

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Section: What Factors Influence Perception?mentioning

confidence: 99%

Section: What Factors Influence Perception?mentioning

confidence: 99%

Where Are We Now on the Road to 4d Urban History Research and Discovery?

Münster

Maiwald

Bruschke

et al. 2021

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…On the other hand, it is important to know whether mobile learning system has a positive impact as expected. In this study the researchers adopted the IS success model [14,15], combined with the two learning aspects (i.e., learning contents and motivation of the learning participant) [2,16,17], and then adapted it in terms of mobile learning context [18][19][20][21][22]. The researchers assumed, despite the success model is the popular model for assessing IS performance among in the IS research field; of course, the model may also need to be extended referring to the research context.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

“…The six ones were adopted from the DeLone and Mclean's IS success model [14,24,25], i.e., information quality (INQ), system quality (SYQ), service quality (SVQ), system use (SYU), user satisfaction (USF), and net benefits (NBF). The two rest variables were adopted in terms of the mobile learning contexts, i.e., system contents (SCT) [19,20] and user motivation (UMT) [2]. Fig.…”

Section: Mobile Learning Success Model and Its Instrumentsmentioning

confidence: 99%

“…Second, in regard to the adoption of mobile learning context [2,19,20,36,37]; the scholars proposed nine hypotheses, i.e., H3, H6, H9, H10, H11, H12, H14, H16, and H18. These hypotheses were developed for assessing relationships among the contextual variables of mobile learning with the IS success variables.…”

Section: Mobile Learning Success Model and Its Instrumentsmentioning

confidence: 99%

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Assessing mobile learning system performance in Indonesia: Reports of the model development and its instrument testing

Subiyakto

Erlina

Sugiarti

et al. 2021

The 2ND SCIENCE AND MATHEMATICS INTERNATIONAL CONFERENCE (SMIC 2020): Transforming Research and Education of Science and Mathem

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It is undeniable that people life patterns and technological developments are interrelated within a supply and demand cycle. In the education world, the emergence of the internet and mobile technologies has opened the learning boundaries through the use of mobile learning (m-learning). In Indonesia, the learning service industry has been begun to enliven the outside school education sector for almost five years ago. Even though the learning has been discussed around a decade ago, however, it is still rare studies that discuss the performance of the m-learning system based on the end-user perceptions in particular. Therefore, the study may still indispensable, especially from the perspectives of a developing nation. This paper elucidates the preliminary stage results of the above-mentioned study, including the results of the model development and its instrument testing. The DeLone and Mclean's information system (IS) success model was adopted, combined with the individual motivation and organizational culture theories, and then adapted into the processional and causal logic of the success model. Around 50 respondent data were collected online and processed and analyzed based on the outer model assessments of the PLS-SEM method using SmartPLS 3.0 to know the reliability and validity of each indicator. The result shows that two of 31 are rejected indicators. The rejections may be the revision considerations for the next study stages. Although this may be trivial for experts, the clarity of its methodological explanations may guide the novice researchers, how to develop a research model and its instrument testing.

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