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WHAT ARE SOME IMPORTANT CONSIDERATIONS WHEN DEVELOPING OPEN EDUCATIONAL RESOURCES

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Licensing is a critical consideration when developing OER. Selecting an open license, such as Creative Commons, allows others to legally reuse, revise, remix, and redistribute the content. This enables sharing and collaboration on the material. The license also needs to ensure proper attribution is always given to the original creator(s). Picking the right Creative Commons license, whether CC BY, CC BY-SA, or another option, depends on how much control and flexibility is desired over subsequent uses and adaptations of the content.

Quality assurance is also crucial for OER. With many potential contributors participating in open collaboration on teaching materials, there needs to be processes to review and approve changes to safeguard academic integrity and accuracy. This includes peer reviews of content by subject matter experts. Comprehensive version control systems are important to trace edits made over time as work evolves. Quality OER projects typically involve instructional designers to help with scope, organization, learning objectives alignment, and overall educational approach.

Accessibility must be taken into account from the start. OER should be designed and authored to be usable by people with varying abilities, including those using assistive technologies like screen readers. This involves following web accessibility standards and guidelines like WCAG. Visual elements must have textual descriptions, content is organized logically for navigation, and multimedia includes captions. The open licensing also enables the content to be made available in different formats to reach more learners.

Discovering existing relevant OER through open registries and metadata tagging is essential. While new content may need to be created at times, existing open materials should be identified and potentially reused or remixed first to avoid duplicating work already done. Applying educational metadata standards allows OER to be more easily searched and located. Cross-linking related OER fosters open communities of shared knowledge. Interoperability ensures content is structured to interact seamlessly across platforms and systems.

Addressing technical specifications ensures the educational materials remain accessible, current, and sustainable over time. Open file formats prevent vendor lock-in to any single proprietary system. This includes easily editable formats like Markdown for text, open multimedia formats with royalty-free codecs, and structured formats like XML for storing educational metadata. Considering future proofing involves developing in an agile, modular way so content stays up-to-date as technologies and standards evolve. Version control enables ongoing iterative improvements.

Stakeholder involvement is vital during development. Understanding instructor, student, administrator and other user needs guides effective OER design. Piloting draft materials and incorporating feedback improves quality. Building partnerships with educational institutions enables scalable sharing and localized reuse in various contexts and locations. Raising awareness about open licensing and empowering communities to remix or extend resources sustains ongoing efforts. Assessing impact through quantitative metrics and qualitative reports reveals areas for enhancement.

Access and inclusion are key factors. OER help reduce costs as a public good, especially important for reaching demographics that may not otherwise access education. Offering content in multiple languages enhances equity. Consider cultural appropriateness and avoid bias in examples, images, or viewpoints presented. Peer production approaches allow customized local customizations. Sustainability relies on incentivizing continued contributions, whether through credit, compensation, or community affiliation. Technologies should not pose undue barriers in various regions.

These strategies promote developing high-quality, sustainable open educational resources through collaborative open design principles. Attending to licensing, quality, accessibility, discoverability, technical standards, stakeholder engagement, inclusion, and sustainability enables maximizing sharing and impact of openly licensed teaching and learning materials globally. OER have the potential to advance equitable access to knowledge worldwide when developed following these important guidelines.

WHAT ARE SOME CHALLENGES THAT STUDENTS MIGHT FACE WHEN WORKING ON IT CAPSTONE PROJECTS

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One major challenge students often face is effectively managing their time. Capstone projects typically have strict deadlines that must be met, but students are also juggling other responsibilities like classes, jobs, family commitments, etc. This can make staying on track and delegating adequate time to the capstone difficult. To overcome this, students need to set interim deadlines, break the project into milestones, and schedule work sessions in advance. They should also communicate regularly with their capstone advisor to ensure they are on track to meet deadlines.

Another common challenge is dealing with scope creep, where the goals and deliverables of the project expand beyond what was initially planned or can reasonably be completed within the given timeline. This is something capstone advisors see frequently. Students need to clearly define the scope and objectives of their project early on through a formal proposal or project plan. Any changes to scope should be discussed with and approved by the advisor. Students also need to learn to say “no” to tempting but non-essential additions in order to stay within the agreed upon parameters.

Working independently or leading a team on a major long-term project for the first time can also be daunting. Students may struggle with tasks like self-motivation, delegating work, resolving conflicts, and ensuring accountability. To meet this challenge, students should establish routine check-ins and deadlines with their capstone team members. They need to communicate responsibilities clearly, address issues promptly, and provide support and feedback to maximize productivity. Setting group norms and expectations up front can help as well.

Finding and securing commitment from an external stakeholder, client, or partner organization is a common hurdle, especially for projects requiring subject matter expertise or data. Students have to research and cold call potential partners, then convince busy professionals to dedicate time and resources to their student project. To overcome this challenge, students must craft a compelling “pitch” explaining how the project will provide value. They also need to identify the specific asks they are making of partners and be prepared to offer something in return, like a final deliverable or report. Starting this process early allows time for multiple attempts.

Understanding technical tools, languages, software programs, devices, facilities, or other specialized expertise required to complete certain types of capstone projects also poses difficulties. Students may lack experience or training necessary. The solution is for students to thoroughly research technical requirements early and identify any knowledge gaps. They should reach out to mentors, professors, help forums, or technical documentation to close those gaps before significant work begins. Projects may also need to be modified to account for limited technical skills.

Budget constraints can also restrict scope if a project requires specialized equipment, materials, or services that students cannot afford or access. In these cases, students need to get creative in identifying free or low-cost alternatives through tools, equipment, or expertise available on campus or via community partnerships. They may also need to re-work project goals if essential resources cannot be obtained. Applying for grants or external funding can help increase budget and open up possibilities.

Presenting research findings or final conclusions to an audience is a key capstone requirement, but public speaking anxiety is a challenge some students face. They overcome this by practicing presentations multiple times beforehand with feedback from peers and advisors. Students can also work on visual aids, handouts or slideshows to help hold attention and shift spotlight during nervous moments. On presentation day, remembering that the experience will help improve skills goes a long way to easing anxieties.

The challenges outlined here, from time management to technical capacity to partner relationships, can feel daunting. But they are common obstacles that students preparing for real-world work will inevitably encounter. With careful planning, open communication, willingness to problem-solve, and resourcefulness – all critical career skills in their own right – students can absolutely rise to meet these challenges as part of the learning experience that is a capstone project. Perseverance and utilizing available support systems are key to coming out the other side with not just a completed project but also newly gained knowledge and confidence.

WHAT ARE SOME COMMON CHALLENGES THAT STUDENTS FACE WHEN COMPLETING AN HONORS CAPSTONE PROJECT

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Time Management – One of the biggest struggles is properly managing your time. Honors capstone projects often require extensive research, writing, experimentation, or data analysis over the course of multiple months. Students must dedicate large blocks of time outside of classes to their project on a consistent basis. Procrastination is the enemy here as it’s easy to fall behind schedule. The key is creating a detailed timeline and schedule for completion of each milestone and task, then following it closely. Break large projects into smaller, more manageable pieces that can be accomplished in shorter study sessions.

Narrowing the Scope – Coming up with a research topic, problem to solve, or question to answer is exciting, but defining the scope of the project can be tricky. It’s easy to choose a topic that is too broad or ambitious for an undergraduate project. Working with a faculty advisor is important to identify a research question or project goal that is appropriately sized. The scope should be focused enough to be reasonably completed in the allotted timeline, but still offer novelty and room for depth of analysis. Iterating the scope with feedback from the advisor until it hits the right balance is important.

Staying Motivated – Sustaining the motivation to dedicate consistent effort over several months can be a challenge, especially as other courses and activities compete for time and attention. Set small, intermediate goals to mark progress and give a sense of accomplishment. Share updates with family and faculty advisor to keep them invested. Finding an aspect of the topic that genuinely fascinates you can also help maintain enthusiasm. Scheduling rewards for hitting milestones, like a movie after submitting a draft, can make the journey more enjoyable.

Research Challenges – For some projects, finding and accessing appropriate research materials can be difficult. This is especially true for topics in newer or interdisciplinary fields where information is emerging. Students may struggle accessing paywalled journals or locating individuals to interview. It’s important to start research as early as possible with the advisor’s guidance to proactively overcome any roadblocks in the research process due to limited availability of information or participants. Pursuing alternative research paths should delays occur.

Analysis Difficulties – Students who took on projects involving data collection, experimentation, statistics or advanced content may face challenges in the analysis and interpretation phase. While honors students excel, the processing and explaining of sophisticated analysis can be intimidating without prior experience or coursework. Maintaining open communication with the faculty advisor and being willing to consult additional experts on statistical or technical issues is important. Iterate analysis and presentation with feedback. For some projects, it may make sense to limit scope to make analysis manageable.

Writer’s Block – Translating all the learning and hard work into a polished final thesis document poses its own challenges. With vast amounts of notes, drafts, sources and files accumulated, it’s easy to get stuck. Take time to outline the story you want your capstone to tell before diving into writing. Set small, daily writing goals and break the task into more manageable sections. Consulting advisor feedback on preliminary drafts avoids dissertation by committee. Carving out uninterrupted stretches of dedicated writing time in a distraction-free environment additionally helps.

Presenting Nerves – For projects requiring final presentations to faculty panels, fear of public speaking anxieties can paralyze preparation. Rehearse your presentation to advisors, friends, or privately numerous times with a timer. Know your material inside and out so your reliance on notes or slides is minimal. Practice engaging as a conversational storyteller, not just reading slides. Deep breathing, pacing yourself slowly, and reminding yourself of your contribution’s value helps manage nerves on presentation day.

These are some of the most common pitfalls honors capstone students encounter, along with strategies for overcoming them. With thorough preparation, realistic goal-setting, and utilization of advising resources, students can optimize their chance of success in completing this culminating undergraduate experience. The resulting sense of pride and accomplishment make all challenges worthwhile in the end. Effective planning and time management is key to navigating the rigorous capstone process with steady progress and minimized stress.

WHAT ARE SOME IMPORTANT FACTORS TO CONSIDER WHEN CONDUCTING AN INTERNATIONAL MEDICAL EXPERIENCE FOR A CAPSTONE PROJECT

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There are many crucial factors to take into account when organizing and participating in an international medical experience for your capstone project. These international experiences can be extremely rewarding but also involve unique challenges, so it is important to plan thoroughly. Some key considerations include:

Cultural competency – You must do extensive research on the culture, customs, beliefs, and norms of the region where you will be practicing medicine. Understanding cultural differences is vital for providing respectful and effective care. You should learn common greetings, phrases, and customs to make patients comfortable. Be aware of any cultural taboos surrounding healthcare practices. You may need to modify your approach to be culturally sensitive.

Language barriers – Determine if a language barrier exists between you and the local patient population. If so, you will need to find qualified medical interpreters to aid in consultations. Learn some key medical phrases in the local language too if possible. Nonverbal communication may need to be relied on more. Using interpreters effectively takes skill to ensure all information is conveyed accurately.

Healthcare infrastructure and resources – The medical facilities, technologies, supplies, and resources available will likely be different than what you are used to. Have realistic expectations of what can and cannot be provided. You may need to improvise or rely more on history and physical exam skills than tests. understand public health issues and how the system is structured. This ensures you can contribute meaningfully without overburdening local doctors.

Licensing and legal requirements – Research the licensing and legal requirements for foreign healthcare professionals practicing temporarily in that country or assisting local doctors. You may need special permission, liability insurance, vaccinations records etc. Follow all regulations to avoid any ethical or legal issues. Clarify your scope of practice and responsibilities upfront.

Safety and travel considerations – Personal safety should not be overlooked. Understand any risks like civil unrest, crime rates, infectious diseases etc. Consult government travel advisories. Consider health insurance, accommodations, reliable transportation and having an emergency contact. Let someone know your itinerary and check-in schedule. Only travel to places with necessary security permissions.

Financial planning – Budget properly for travel expenses, accommodation, food, transportation and other living costs for the duration of your stay. In some places, you may need to pay user fees to access patients and healthcare settings. Funding availability can impact project length and scope. Have back-up plans if costs are higher than projected.

Logistics and approvals – Create a timeline with start and end dates, outline clear learning objectives, identify local supervisors, and required experience rotations. Get necessary approvals from host institution and your academic program. Plan visa, immunization and any shipment logistics ahead of schedule. Have partnerships or memorandums of understanding in place with host organizations.

Evaluation strategies – How will you measure the success of your project and learning? Establish goals, collect baseline data, use patient case logs, observe procedures, conduct surveys or interviews, write reflective essays to analyze experiences. Consider pre- and post- experience evaluations. Assess your own growth in cultural competence and clinical skills. Outcomes should be systematically evaluated and improvements suggested for future programs.

Sustainability and follow up – Consider how your work could continue benefiting the community after you depart. Ideally, projects should evolve into ongoing collaborations. Leave behind resources or establish referral processes when possible rather than concluding abruptly. Stay connected through virtual meetings to maintain relationships built and receive feedback on long-term impacts.

International medical experiences require extensive planning to maximize effectiveness while avoiding pitfalls. Factors like cultural competence, logistics, safety, ethical/legal issues and realistic evaluation must all be addressed thoroughly in the design and implementation of such a capstone project experience abroad. Taking the time for thoughtful preparation and consideration of community needs and contextual constraints is key to conducting a rewarding and mutually beneficial cross-cultural health program.

WHAT ARE SOME COMMON CHALLENGES STUDENTS FACE WHEN WORKING ON MODULES 1 3 OF THE CAPSTONE PROJECT

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A major challenge students face in module 1 is properly explaining the business problem and framing the data science solution in a way that is clear, concise and compelling for the stakeholder. This is difficult because it requires translating the technical aspects of the project into everyday language that a non-technical audience can understand. Some tips to help with this include: conducting interviews with stakeholders to clearly define the problem from their perspective; using non-technical terms and simple visuals/explanations whenever possible; and focusing on how the solution will specifically help the stakeholder rather than focusing too much on technical details.

In module 2, acquiring and preparing the data for analysis can pose significant challenges. Data may be in inconsistent or incompatible formats that need extensive cleaning and preprocessing. Some common issues include: data from multiple sources not joining together properly; missing or ambiguous data values that must be addressed; and dirty, corrupt or improperly formatted data that requires debugging. To overcome these challenges, students should: assess the data quality early; explore the data carefully before cleaning; start by addressing null/missing values; standardize data formats; and document all data processing steps carefully. Leveraging Python skills like regular expressions and working iteratively in small chunks can help manage complexity.

Feature engineering is a major hurdle in module 3. Determining the most useful predictive features to extract from raw data and transform for modeling requires creativity, experimentation and understanding the problem domain. Issues include: difficulty selecting meaningful features; over-reliance on inherently non-predictive features; and feature extraction processes that are overly complex, computationally intensive or rely on domain knowledge that may be lacking. Some approaches to help include: starting simply with raw features before transforming; using exploratory data analysis like correlations to guide feature selection; considering both technical and domain-based perspectives on important factors; and validating features actually improve model performance and solve the business problem.

Developing and evaluating machine learning models to find the best for the problem and data is another significant module 3 challenge. Issues can involve: poor model choice for the problem which require retraining from scratch; algorithms not scaling well to large, complex data; lack of optimization of hyperparameters resulting in suboptimal models; and difficulty assessing model performance without proper validation. To tackle these, students should: consider multiple model types; carefully split data for training, validation and testing; use grid search or randomized search to tune hyperparameters; evaluate models on multiple relevant metrics including accuracy, errors, outliers; and apply techniques like ensemble modeling to boost performance.

In addition to technical challenges, time management across all modules poses a major hurdle for capstone project work. Capstone involve open-ended problem exploration, iteration and demonstration of skills – requiring perseverance, teamwork and pacing to complete on schedule. To overcome this, students must: break work into discrete milestone-driven tasks; establish clear communication with teammates and stakeholders; maintain modular, well-documented code; leverage automation, parallelization and cloud resources to speed processing; pace longer workflows realistically and leave time for refinements; and ask for help to avoid bottlenecks/roadblocks. With careful planning and open-minded problem solving, students can rise above these common challenges to deliver a quality end-to-end data science solution.

Modules 1-3 cover the breadth of initial steps in any data science project – from problem definition to acquiring/preparing data to selecting modeling techniques. The challenges stem from balancing technical rigor with human/business factors; adapting to diverse, imperfect real-world data sources; and managing open-ended iterative workflows under time constraints. With experience, the right mindset and community support, students can gain skills to methodically work through such obstacles, producing insights of tangible value for stakeholders. Completing these initial modules successfully lays the foundation for developing a polished, impactful capstone project.