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9 results for “Instructional design”
Instructional Design Models Score Ranking
<p>Here we present selected 17 instructional design models (IDMs) from our previous study (Cajnko, M. M., Pavlin, M., Likozar, B., Vasilakis, C., Tsovou, S., Chaundry, S. R., Kapal, D., van Leeuwen, M., Miloshevski, V., Toman, Y., Deniz, B., Şensoy Mercan, N., Pavitola, L., Memmedova, S., Verdiyeva, L., Sarsar, F., & Andiç Çakır, Ö. (2024). Instructional Design Models [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10900874) that were quantitatively evaluated by 20 experts from different countries (Azerbaijan, Greece, Ireland, Italy, Slovenia, Spain, and Türkiye) according to their suitability for the use in the engineering education. Evaluation was performed based on 12 statements, where each statement was quantitatively evaluated with values from 0 to 3 (0: Absolutely not suitable; 1: Partially suitable structure; 2: Moderately suitable structure; 3: Suitable structure), resulting in the total score of 36 for each model. The 12 statements were: </p> <p>1. Suitability for engineering education;<br>2. Suitability for virtual laboratories studies;<br>3. Suitability for technology integration;<br>4. Suitability for project-based work;<br>5. Suitability for active learning strategies;<br>6. Suitability for students with any disability;<br>7. Suitability for interdisciplinary design;<br>8. Suitability for cross-cultural practices;<br>9. Suitability for student feedback;<br>10. Suitability for instructor feedback;<br>11. Suitability for assessment and evaluation;<br>12. Suitability for reusability.</p> <p>The preliminary score of each IDM was obtained by averaging the scores of 20 experts and the standard deviation was calculated. Next, the scores of each IDM that lied outside of the average score ± 2*standard deviation was eliminated and the new average value was calculated. This process was repeated until all the remaining scores lied withing average score ± 2*standard deviation. The final score of all IDMs is reported on the first page of this dataset, while scoring of each expert are reported on subsequent pages.</p> <p>The five best scored IDMs are Instructional design model for unified eLearning, Assure model, Agile instructional design, Kemp, Morrison, and Ross model – Effective instructional design model, and ADDIE.</p> <p>This created dataset has been added as a database to the VILLAGE project web page (<a href="https://www.thevillageproject.eu/idmodelsdatabase/">https://www.thevillageproject.eu/idmodelsdatabase/</a>)</p>
Instructional Design Models
<p>Here we present a comprehensive overview of all available instructional design models (IDMs). In the second column is the name of the model, in the third a short background of the model, and in the fourth short description of the model. The table is complemented with a scheme of each IDM in the fifth column and with the list of references and suggested further readings of specific IDM in the sixth column. This created dataset has been added as a database to the VILLAGE project web page (<a title="https://www.thevillageproject.eu" href="https://www.thevillageproject.eu" target="_blank" rel="noopener">https://www.thevillageproject.eu</a>)</p>
Database of the assessment of two instructional design variables in verbal reasoning and mathematical reasoning courses from the perspective of a Peruvian pre-university center students
<p>These are the data obtained from 4 evaluations made to a sample of 630 students of a Peruvian pre-university center. First, two study variables were evaluated: teaching sequence compliance and the student's educational need according to the perspective of 315 students of the verbal reasoning course. Second, the same study variables were assessed in the remaining 315 students of the mathematical reasoning course. This information is being used in research to obtain an academic degree and later to make a publication of a scientific article.</p> <p>For the treatment of these data, inferential statistics was used through the software R version 3.4.4 (2018) The R Foundation for Statistical Computing.</p>
The Effect of Gamification-Based Instructional Design Developed
ClinicalTrials.gov study NCT07207590. IPD Sharing: NO. Countries: 1. Publications: 1.
Virtual Reality Instructional Design in Orthopedic Physical Therapy Education
ClinicalTrials.gov study NCT04754568. IPD Sharing: NO. Countries: 1. Publications: 3.
Heart Rate Variability and Cognitive Load on Image-Based Virtual Reality Instructional Design in Otolaryngology
ClinicalTrials.gov study NCT03501641. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Instructional Design and Implementation for Educational Skills Program Based on Constructivist Learning Approach
ClinicalTrials.gov study NCT06253572. IPD Sharing: NO. Countries: 1. Publications: 3.
Integrated Basic Science Within the Instructional Design of Pattern Recognition Training
ClinicalTrials.gov study NCT05087485. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Testing Interventions Designed to Improve How Members of the General Public Follow Instructions to Take Antibiotics
ClinicalTrials.gov study NCT07111754. IPD Sharing: YES. Countries: 0. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
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