Enlivening the Promise of Education

2007 ◽  
pp. 132-153 ◽  
Author(s):  
K. Kaur
Keyword(s):  
Online Learning ◽  
Human Computer Interaction ◽  
Knowledge Construction ◽  
Learning Model ◽  
Open University ◽  
Online Interaction ◽  
Social Environments ◽  
Learning Contexts ◽  
Face To Face Learning ◽  
Computer Interaction

An important dimension in education is interaction, that is, the coming together of a number of people to discuss, debate, and deliberate about issues of common concern. In distance education, such social environments are as much present in online learning contexts as they are in face-to-face learning contexts such as tutorials. This chapter expands the notion of teacher student interaction to focus on integrating human computer interaction in the curriculum. This is done through the use of online discussion forums at Open University Malaysia that help build collaborative online communities using common principles of teaching and learning. Citing a recent case in point, this chapter demonstrates how the Open University Malaysia-Collaborative Online Learning Model for online interaction helped cultivate learner-centric virtual discussions and supported an interactive online community that showcased characteristics of social interdependence and instructional support. This chapter takes a social constructivist view of human computer interaction by proposing an instructional model supported by collaboration, guidance, interdependence, cognitive challenge, knowledge construction, and knowledge extension. The Introduction section of this chapter provides the rationale for human computer interaction and gives an overview of current-day perspectives on the online classroom. This is followed by a trenchant review of recent research on online interaction with a view to outlining the theoretical premise for the use of computers to develop thinking and collaborative or team skills. This section also provides a rationale for the use of online forums and gives a frame of reference for the role of the instructor in this enterprise. In the next section of this chapter, the Open University Malaysia-collaborative online learning model is described, with details on The Learning Context as well as Group Learning Outcomes, which may be seen as inherent parts of the model. Under the sub-section Knowledge Construction, the chapter carries a qualitative analysis of online interaction for one Open University Malaysia course using a comprehensive list of indigenous categories and sub-categories as well as examples of interactions that match each sub-category. The chapter ends with a Summary, a statement of Acknowledgement, a list of References, and an Appendix. The appendix contains the Task that was used for the course for which online interaction in this chapter was analyzed.

Enlivening the Promise of Education

2009 ◽  
pp. 257-279
Author(s):  
Kuldip Kaur
Keyword(s):  
Online Learning ◽  
Human Computer Interaction ◽  
Knowledge Construction ◽  
Learning Model ◽  
Open University ◽  
Online Interaction ◽  
Social Environments ◽  
Learning Contexts ◽  
Face To Face Learning ◽  
Computer Interaction

An important dimension in education is interaction, that is, the coming together of a number of people to discuss, debate, and deliberate about issues of common concern. In distance education, such social environments are as much present in online learning contexts as they are in face-to-face learning contexts such as tutorials. This chapter expands the notion of teacher-student interaction to focus on integrating human computer interaction in the curriculum. This is done through the use of online discussion forums at Open University Malaysia that help build collaborative online communities using common principles of teaching and learning. Citing a recent case in point, this chapter demonstrates how the Open University Malaysia-Collaborative Online Learning Model for online interaction helped cultivate learner-centric virtual discussions and supported an interactive online community that showcased characteristics of social interdependence and instructional support. This chapter takes a social constructivist view of human computer interaction by proposing an instructional model supported by collaboration, guidance, interdependence, cognitive challenge, knowledge construction, and knowledge extension. The Introduction section of this chapter provides the rationale for human computer interaction and gives an overview of current-day perspectives on the online classroom. This is followed by a trenchant review of recent research on online interaction with a view to outlining the theoretical premise for the use of computers to develop thinking and collaborative or team skills. This section also provides a rationale for the use of online forums and gives a frame of reference for the role of the instructor in this enterprise. In the next section of this chapter, the Open University Malaysia-collaborative online learning model is described, with details on The Learning Context as well as Group Learning Outcomes, which may be seen as inherent parts of the model. Under the sub-section Knowledge Construction, the chapter carries a qualitative analysis of online interaction for one Open University Malaysia course using a comprehensive list of indigenous categories and sub-categories as well as examples of interactions that match each sub-category. The chapter ends with a Summary, a statement of Acknowledgement, a list of References, and an Appendix. The appendix contains the Task that was used for the course for which online interaction in this chapter was analyzed.

Dynamic Maps’ Use in Smart-Cities Learning Contexts

2012 ◽  
Vol 3 (4) ◽  
pp. 33-49
Author(s):  
Marco Pedroni
Keyword(s):  
Online Learning ◽  
Knowledge Construction ◽  
Smart Cities ◽  
Learning Objects ◽  
Constructivist Teaching ◽  
Reconstruction Algorithms ◽  
Dynamic Reconstruction ◽  
Learning Contexts ◽  
Animated Maps

This paper examines the potentialities and characteristics of dynamic maps in relationship with constructivist teaching, by considering maps’ support to four functions: the contents’ learning, the contextualization of Learning Objects, the contextualization of online learning interaction and the knowledge construction. Several algorithms for polymorphic and animated maps’ reconstruction, both bi-dimensional and tridimensional, will be examined and described in detail. Among these algorithms, a further differentiation is made between those concerning proximal, or hierarchical development, and those regarding gravitational developments. In the latter one the positioning of nodes derives from quantitative values, that express their relation’s attractive strength. Conclusions derived from this work are the unavoidable need to implement maps’ dynamic reconstruction algorithms, when the complexity of the disciplinary ontology makes the traditional static approaches unable to provide an effectively usable image of the map.

scholarly journals Simultaneous Hand Gesture Classification and Finger Angle Estimation via a Novel Dual-Output Deep Learning Model

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2972
Author(s):  
Qinghua Gao ◽  
Shuo Jiang ◽  
Peter B. Shull
Keyword(s):  
Deep Learning ◽  
Human Computer Interaction ◽  
Data Augmentation ◽  
Experimental Testing ◽  
Learning Model ◽  
Hand Gesture ◽  
Angle Estimation ◽  
Gesture Classification ◽  
Deep Learning Model ◽  
Computer Interaction

Hand gesture classification and finger angle estimation are both critical for intuitive human–computer interaction. However, most approaches study them in isolation. We thus propose a dual-output deep learning model to enable simultaneous hand gesture classification and finger angle estimation. Data augmentation and deep learning were used to detect spatial-temporal features via a wristband with ten modified barometric sensors. Ten subjects performed experimental testing by flexing/extending each finger at the metacarpophalangeal joint while the proposed model was used to classify each hand gesture and estimate continuous finger angles simultaneously. A data glove was worn to record ground-truth finger angles. Overall hand gesture classification accuracy was 97.5% and finger angle estimation R 2 was 0.922, both of which were significantly higher than shallow existing learning approaches used in isolation. The proposed method could be used in applications related to the human–computer interaction and in control environments with both discrete and continuous variables.

scholarly journals Heroe’s model: Case study to reduce students’ learning loss and anxiety

2021 ◽  
Vol 16 (3) ◽  
pp. 1122-1140
Author(s):  
Heru Kurniawan ◽  
Budiyono Budiyono
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Learning Model ◽  
Learning Loss ◽  
Self Assessment ◽  
Model Learning ◽  
Model Case ◽  
Face To Face ◽  
Learning Barriers ◽  
Face To Face Learning

The spread of COVID-19 in all countries is forcing a change from face-to-face learning to online learning. Of course, the implementation of online learning cannot be separated from the obstacles and threats of decreasing the quality of education, one of which is the threat of learning loss and anxiety. This study aims to see and reduce learning loss and learning anxiety in higher education through the application of Heroe’s math online learning model. This study is a qualitative descriptive study using diagnostic tests, self-development tests, self-rating anxiety scale test, self-assessment questionnaires and interviews as data collection instruments. Data analysis used technical triangulation. The results showed that with the application of Heroe’s math online learning model there were no learning loss symptoms and showed a decrease in students’ anxiety levels. The results of this study have an important meaning that the need for handling and adaptation to learning barriers due to changes in the learning environment is not certain.      Keywords: Anxiety, higher education, Heroe’s model, learning loss

scholarly journals Blanded Learning: Solusi Model Pembelajaran Pasca Pandemi Covid-19

2020 ◽  
Vol 6 (2) ◽  
pp. 83-94
Author(s):  
Afroh Nailil Hikmah ◽  
Ibnu Chudzaifah
Keyword(s):  
Online Learning ◽  
Blended Learning ◽  
Learning Strategies ◽  
Time Allocation ◽  
Model Development ◽  
Learning Model ◽  
Learning Models ◽  
Face To Face ◽  
New Findings ◽  
Face To Face Learning

Online learning has become a demand for education since the Covid-19 pandemic and continues in New Normal until it continues until post-pandemic even if teachers or lecturers have to develop learning strategies. Therefore teachers/lecturers are required to be literate in technology and always up to date on learning models, one of which is Blended Learning. This research itself is expected to explain what is meant by the Blended Learning Model. And, how is the application of the Blended Learning Model when applied to the new order after the Covid-19 pandemic. The research method in this article uses a literature review, where an action on the quality and new findings of scientific work. The development of a blended learning model is a combination of learning models carried out in an online and offline context. The allocation used is 50:50, meaning that from the time allocation provided, 50% for face-to-face learning activities and 50% for online learning. The same is the case with using a 75:25 composition and doing 25:75. Blended learning model development techniques that need to be developed; 1) Face-to-face Learning Model; 2) Learning Using Electronic Teaching Materials, and 3) Learning Using Technology Media.

scholarly journals Pengelolaan Pembelajaran melalui Blanded Learning dalam Meningkatkan Receptive Skill Peserta Didik di Pondok Pesantren

PALAPA ◽  
2018 ◽  
Vol 6 (2) ◽  
pp. 1-18
Author(s):  
Nur Hayati ◽  
Mualim Wijaya
Keyword(s):  
Information Technology ◽  
Online Learning ◽  
Rapid Development ◽  
Boarding School ◽  
Learning Model ◽  
Learning Models ◽  
Great Opportunity ◽  
Face To Face ◽  
Face To Face Learning ◽  
Learning Interest

This study discusses the management of learning through blanded learning in improving receptive skill of students in boarding school Bahrul Ulum Besuk Kidul, Besuk, Probolinggo. Arabic is now widely provided by using varied models and online learning media. However, the various learning models are still less relevant and efficient, which causes students to understand less ability receptive skill, especially on learning Arabic. The rapid development of information technology has provided a great opportunity for the development of online learning model on motivation or increase student learning interest. This study aims to produce a blended learning model, which is a combination of online learning model and face to face learning, which can improve the receptive skills of learners.

scholarly journals Hybrid Learning Model in the Practic Subject

2020 ◽  
Vol 5 (3) ◽  
pp. 23-28
Keyword(s):  
Online Learning ◽  
Visual Art ◽  
Three Dimensional ◽  
Hybrid Learning ◽  
Learning Model ◽  
Research Data ◽  
Graphic Arts ◽  
Face To Face ◽  
Long Time ◽  
Face To Face Learning

Hybrid learning model has been introduced in universities for a long time, but most of them take place to support instructional of theoretical learning. The application of hybrid learning models in practical subjects has never been exposed, especially for visual art education. This study was aimed to see how the development of a Quantum Working based Hybrid Learning Model (HQW) in the Graphic Arts Subject. Hybrid learning is intended to enrich the way of learning that so far has only focused on face-to-face activities.So by involving online learning, students can more freely search for varied and meaningful learning resources.When the references obtained have enriched their insights, it will be easy for students to express their ideas into two-dimensional or three-dimensional works of art.It is fully realized that there are limitations to the lecturers themselves, the completeness of campus facilities and infrastructure as well as the latest reference books.By combining face-to-face learning and online learning for the learning of art work practices, these weaknesses can be minimized.Students can make innovations from existing findings so that their work process becomes better, faster, and more efficient that we called Quantum Working.This research method is included in preliminary research R&D with the Borg and Gall model. The research data was obtained by distributing questionnaires to 114 students registered in the July-December 2019 semester and processed with a percentage formula, followed by interviews with lecturers who taught practicum subject.

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