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Book ChapterDOI

Effectiveness of Computer-Based Instructional Visualization and Instructional Strategies on e-Learning Environment

01 Jan 2016-pp 401-409
TL;DR: The results showed a momentous mean difference in different conditions i.e., in interactive visualization condition students performed better than animated and static condition; besides, question and feedback conditions were more effective than no strategies and only question conditions with respect to various learning outcome.
Abstract: Learning with visualization is a new trend for the teaching and learning environment. However, in this study the question is do all types of visualization and strategies equally affect achieving various learning objectives? How computer generated questions with and without feedback strategies affect achievement of learning objective? To investigate the effectiveness of different types of visualization and strategies, researchers developed three different types of instructional modules (static, animated and interactive) and two types of instructional strategies (question and feedback). A total of 540 students were selected to conduct the study with specific matching criteria. MANOVA was done to find out group differences in different conditions. The results showed a momentous mean difference in different conditions i.e., in interactive visualization condition students performed better than animated and static condition; besides, question and feedback conditions were more effective than no strategies and only question conditions with respect to various learning outcome. The result is discussed critically from several theoretical focal points.
References
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Journal ArticleDOI
TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Abstract: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene. The features are invariant to image scale and rotation, and are shown to provide robust matching across a substantial range of affine distortion, change in 3D viewpoint, addition of noise, and change in illumination. The features are highly distinctive, in the sense that a single feature can be correctly matched with high probability against a large database of features from many images. This paper also describes an approach to using these features for object recognition. The recognition proceeds by matching individual features to a database of features from known objects using a fast nearest-neighbor algorithm, followed by a Hough transform to identify clusters belonging to a single object, and finally performing verification through least-squares solution for consistent pose parameters. This approach to recognition can robustly identify objects among clutter and occlusion while achieving near real-time performance.

46,906 citations

Journal ArticleDOI
TL;DR: This paper showed that learners who were allowed to exercise control over the pace of the narrated animation across two presentations (part-part presentation) performed better on transfer but not retention tests compared with learners who received the same 2 presentations at normal speed without any learner control (whole-whole presentation).
Abstract: In 2 experiments, students received 2 presentations of a narrated animation that explained how lightning forms followed by retention and transfer tests. In Experiment 1, learners who were allowed to exercise control over the pace of the narrated animation before a second presentation of the same material at normal speed (part-whole presentation) performed better on transfer but not retention tests compared with learners who received the same 2 presentations in the reverse order (whole-part presentation). In Experiment 2, learners who were allowed to exercise control over the pace of the narrated animation across 2 presentations (part-part presentation) performed better on transfer but not retention tests compared with learners who received the same 2 presentations at normal speed without any learner control (whole-whole presentation). These results are consistent with cognitive load theory and a 2-stage theory of mental model construction.

697 citations

Journal ArticleDOI
TL;DR: In this paper, the authors show that participants used the interactive features like stopping, replaying, reversing or changing speed to adapt the pace of the video demonstration, which led to an uneven distribution of their attention and cognitive resources across the videos, which was more pronounced for difficult knots.

421 citations

Journal ArticleDOI
TL;DR: The effectiveness of animations containing two novel forms of animation cueing that target relations between event units rather than individual entities was compared with that of animation containing conventional entity-based cueing or no cues, suggesting that the Animation Processing Model provides a principled basis for designing more effective animation support.

107 citations

Journal ArticleDOI
TL;DR: Results demonstrate that Emotional Feedback has a direct effect on Behavioral Intention to Use a CBA system and on other crucial determinants of behavioral Intention.
Abstract: This study introduces emotional feedback as a construct in an acceptance model. It explores the effect of emotional feedback on behavioral intention to use Computer Based Assessment (CBA). A female Embodied Conversational Agent (ECA) with empathetic encouragement behavior was displayed as emotional feedback. More specifically, this research aims at investigating the effect of Emotional Feedback on Behavioral Intention to Use a CBA system, Perceived Playfulness, Perceived Usefulness, Perceived Ease of Use, Content and Facilitating Conditions. An appropriate survey questionnaire was completed by 134 students. Results demonstrate that Emotional Feedback has a direct effect on Behavioral Intention to Use a CBA system and on other crucial determinants of Behavioral Intention. Finally, the proposed acceptance model for computer based assessment extended with the Emotional Feedback variable explains approximately 52% of the variance of Behavioral Intention.

82 citations

Trending Questions (1)
What is the effectiveness of visual learning strategies on academic performance?

The study found that interactive visualization and question plus feedback strategies were more effective in improving academic performance compared to other strategies.