scholarly journals Refining a Competency Model for Instructional Designers in the Context of Online Higher Education

2017 ◽  
Vol 10 (9) ◽  
pp. 87 ◽  
Author(s):  
Jae-Young Park ◽  
Heng Luo

This study investigates the instructional designers (IDs) competencies essential for the context of online higher education, and has selected an instruction design unit in a research university as a case of investigation. To identify and compare IDs competencies at organizational and individual levels, this study employed a mixed method to collect and analyze data based on a validated IDs competency model by the International Board of Standards for Training, Performance and Instruction (ibstpi) as a framework. Throughout the study, IDs’ expected jobs/tasks and currently performed jobs/tasks were systematically analyzed, and the applicability of the ibstpi model in this specific context of online higher education was verified. Based on the empirical findings, this study proposed a refined competency model to improve IDs performance in human resources development and management practice.

eLearn ◽  
2021 ◽  
Vol 2021 (10) ◽  
Author(s):  
Les Howles

This article summarizes the main themes and chapters for The Learner-Centered Instructional Designer (Stylus Publishing, 2021) and provides a critical evaluation and recommendations for prospective readers. The book consists of 19 short essay-like chapters where 20 experienced instructional designers cover a range of topics related to instructional design consulting in higher education. The various authors share practical strategies and best practices about working with instructors to create online courses.


2020 ◽  
Author(s):  
Ashis Acharya ◽  
Nabaraj Poudyal ◽  
Ganesh Lamichhane ◽  
Babita Aryal ◽  
Bibek Raj Bhattarai ◽  
...  

The COVID-19 global pandemic has affected all aspects of human life, with education, not an exception. In an attempt to stop the SARS-CoV-2 spreading like wildfire, the Government of Nepal has implemented nationwide lockdowns since March 24, 2020, that have enforced schools and universities to shut down. As a consequence, more than four hundred thousand students of various levels in higher education institutions (HEIs) are in a dilemma about restoring the situation. Several HEIs, nationwide, have leaped forward from the traditional concept of learning—limited within the boundary of the classroom—to choosing digital platforms as an alternative means of teaching because of the pandemic. For this research, the descriptive and inferential analysis was carried out to investigate the effects and challenges of learning via digital platforms during this pandemic. Data were collected from students and faculty at various levels of higher education and analyzed statistically with different factors using t-test and ANOVA, and variables were found to be approximately normally distributed. The study revealed that 70% of the respondents had access to the Internet, but 36% of the Internet accessed did not continue online classes due to unexpected disturbance in Internet and electrical connectivity. Likewise, 65% of students did not feel comfortable with online classes, and among attendees of online classes, 78% of students want to meet the instructor for a better understanding of course matters. According to the analytic hierarchy process (AHP) model, three factors, such as institutional policy, internet access, and poverty, are found to be significant factors affecting the online higher education systems in Nepal. On the brighter side, this outbreak has brought ample opportunities to reform the conventional teaching-learning paradigm in Nepal.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ubirajara José Picanço de Miranda Junior ◽  
Maria Rita Carvalho Garbi Novaes ◽  
Henrique Batista Araújo Santos ◽  
João Fellipe Santos Tatsch ◽  
Rafael Sanches Ferreira ◽  
...  

Abstract Background Among the processes to be experienced by any organization during its establishment is the formation of an organizational identity. This process can be understood as the activity and event through which an organization becomes unique in the mind of its members. An organizational identity leads to an identification and both are directly associated with the success of an institution. This study is about a public higher education institution in health in its early years, with distinctive characteristics in the country where it is situated. In spite of having been successful in the graduation of its students it has fragile institutional bases, lack of autonomy and internal problems common to other institutions of this type. Thus, this study was conducted to understand how this institution defined itself among its own members, the elements of its identity and what justified its relative success despite its weaknesses. Methods A mixed-method approach was used to evaluate how a representative portion of this organization identifies with it. For the qualitative study two focus groups were conducted with transcripts submitted to content analysis proposed by Bardin, culminating in results from which a Likert scale-based questionnaire was elaborated and applied to 297 subjects. Results There were six central elements of the organizational identity made evident by the focus groups: political / ideological conflict; active teaching and learning methodologies; location / separation of campuses; time of existence; teaching career; political-administrative transformations. The quantitative analysis revealed in more detail the general impressions raised in the focus groups. Most results were able to demonstrate distinct identifications of the same identity with its exposed weaknesses. Conclusions Lack of autonomy, administrative and structural shortcomings and ideological or political conflicts presented themselves as problems capable of destabilizing the identity of a public higher education institution. On the other hand, one way to combat such problems is through the development of the institution itself, particularly by becoming more active and useful to the community and seeking in a common interest to the higher administration agencies.


Author(s):  
F. Xavier Medina ◽  
Ana Pinto de Moura ◽  
José Antonio Vázquez-Medina ◽  
Jesús Frías ◽  
Alicia Aguilar

2021 ◽  
Author(s):  
Radosław Szostak ◽  
Przemysław Wachniew ◽  
Mirosław Zimnoch ◽  
Paweł Ćwiąkała ◽  
Edyta Puniach ◽  
...  

<p>Unmanned Aerial Vehicles (UAVs) can be an excellent tool for environmental measurements due to their ability to reach inaccessible places and fast data acquisition over large areas. In particular drones may have a potential application in hydrology, as they can be used to create photogrammetric digital elevation models (DEM) of the terrain allowing to obtain high resolution spatial distribution of water level in the river to be fed into hydrological models. Nevertheless, photogrammetric algorithms generate distortions on the DEM at the water bodies. This is due to light penetration below the water surface and the lack of static characteristic points on water surface that can be distinguished by the photogrammetric algorithm. The correction of these disturbances could be achieved by applying deep learning methods. For this purpose, it is necessary to build a training dataset containing DEMs before and after water surfaces denoising. A method has been developed to prepare such a dataset. It is divided into several stages. In the first step a photogrammetric surveys and geodetic water level measurements are performed. The second one includes generation of DEMs and orthomosaics using photogrammetric software. Finally in the last one the interpolation of the measured water levels is done to obtain a plane of the water surface and apply it to the DEMs to correct the distortion. The resulting dataset was used to train deep learning model based on convolutional neural networks. The proposed method has been validated on observation data representing part of Kocinka river catchment located in the central Poland.</p><p>This research has been partly supported by the Ministry of Science and Higher Education Project “Initiative for Excellence – Research University” and Ministry of Science and Higher Education subsidy, project no. 16.16.220.842-B02 / 16.16.150.545.</p>


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