. This course was designed to help students understand the motivation for theOpen Science movement and be most prepared to navigate these new standards, as they enter aresearch field. As a team of students and an instructor, we explored high-level concepts ofresearch linked to Open Science, and how modern tools facilitate reproducible research. Theobservations stated here are not considered comprehensive results from formal research, ratherthis paper provides reflections from a unique course that may inspire others to incorporate OpenScience practices into courses and research.Reproducibility along the research lifecycleThis course was centered around students understanding and creating reproducible research bydeveloping and assessing open
by instructional designers at thePennsylvania State University to help ADDIE support diversity, equity, and inclusion in theclassroom [11]. In a way, it combines ADDIE with UDL while maintaining the easy-to-followprocess of course design.In the following descriptions below, the individual developing the lesson or course is referred toas the designer. The designer may also be the instructor of that course.Breaking Down Each LetterAnalyze - The designer defines the problem and establishes learning outcomes. The designer alsoassesses the existing knowledge and skills of learners, as well as the learning environment. • Introspection - The designer reflects on their personal and professional identity and worldview, considers classroom
the students on AI Literacy so they can analyze and interpret the syntheticallygenerated outputs.The course “Introduction to the Engineering Experience” is a required course offered every Fallsemester to all first-year engineering students at our university. The course is grounded on theapproach of Raymond Landis, who coined the term World Class Engineering Student (WCES)[10]. The approach focuses on development of soft skills including collaboration, reflection, peerreview, and time management; skills which are increasingly recognized as an important part ofstudent development and success in engineering education, and essential in the development of aWCES [11]. In the Fall of 2023 semester, the AI literacy module was added and delivered
anticipated as manyfaculty members continued to expand and refine the resource well beyond the original timeline.In addition to the more reflective studies, there are multiple guides for aspiring OER authors andthose wishing to set up OER adoption and authorship programs at the institutional level. TheOER guide on authoring OER, Authoring Open Content [11], offers many solid advice toprospective OER authors. The resource covers far more than we can summarize here, but the listof ten tips for OER authors does reiterate some of the same lessons learned in the previouspapers. 10. Good authoring begins with planning 9. It’s going to take longer than you think 8. Share the load 7. Do the prep work (understand the licenses) 6
is readily available” [22]. Making use of library resources thus has benefits tomany students beyond providing a no-cost IM source.There were two notable absences in the responses related to information sources for IMselection. No respondents mentioned using book reviews, in spite of this recommendation madein at least one STEM instructional guidebook [2]. Also, none of our respondents indicated thatlibrarians were a resource for selecting IM. This may reflect a belief that librarians do notprovide support or have expertise in this type of information search and evaluation. However,there are many efforts and studies in library and information science about supporting thecreation and use of OER [8], [23] and OA materials [24]. Several of our
noteffective yet. For example, the Department of Energy (DOE), in its Public Access Plan [17]released in June 2023 prompts researchers to write a Data Management and Sharing Plan wherethey will describe, among other things, how data sharing will be maximized, and data repositoryselection. The DOE does not endorse any particular repository and recommends usingrepositories that are appropriate for the data type and discipline, that reflect relevant standardsand community best practices for data and metadata, and that align with the DesirableCharacteristics document. The National Science Foundation (NSF) published in February 2023an updated version of their NSF Public Access plan [18], which is being reviewed after a requestfor information period. In the
experience. Eighty-seven percent of Seniors (20+ years) reported reasonswhy standards are important. 11The idea is further reinforced by the shifting analytical categories reported by increasing levels(i.e., more years on the job). First, the trend for reasons of Importance seen in the overall data islargely apparent and is reflected in the analytical category Expectations of the Profession whenanalyzed based on Level. As engineers gain experience, the types of technical challenges theyface change, as does the number of challenges they face and their respective knowledge aboutthem. The free-response data suggests this is due to the changing awareness
, “Possible astronomical alignments at Tsiping, New Mexico, a lateAnasazi site.” Bulletin of the Astronomical Society, 12, 886, Sep. 1980.[8] D. Thomas, “Reflections on Inclusive Language and Indexing.” Key Words, 28(4), 14–18,Win. 2020.[9] D. Thomas, “Another Look in the Mirror: Correction to Reflections on Inclusive Languageand Indexing.” Key Words, 29(2), 26, Sum. 2021.[10] C. A. Metoyer, and S. Littletree, “Knowledge Organization from an Indigenous Perspective:The Mashantucket Pequot Thesaurus of American Indian Terminology Project.” Cataloging &Classification Quarterly, 53(5/6), 640–657, Jul./Sep. 2015, doi:10.1080/01639374.2015.1010113[11] M. Ewing, “Representing Historically Marginalized Communities in Archives: MovingBeyond LCSH to Create
existed in convenience and ethical consideration [18]. Karunaratne and Adesina [19]used a survey to examine the use of ChatGPT in the information retrieval process amongstudents at higher education institutes. Through their survey they found “ChatGPT has reducedthe anxiety of information search, and increased the confidence with which students seekinformation” [19]. Lo [20] proposes the “CLEAR framework” (Concise, Logical, Explicit,Adaptive, and Reflective) as a mechanism “to optimize interactions with generative AI languagemodels. The focus of Lo’s work is on improving prompt engineering skills of people usinggenerative AI tools [20]. Jin et.al. [21] discussed potential use cases for generative AI in medicalliterature indicating potential
adjective pairs that wereused to understand users’ perceptions of the library currently and their desired space [15].Adjective pairs, such as “Quiet” vs “Noisy,” were rated along a five-point Likert Scale toindicate which adjective was accurate to the current space and which one they would prefer in aredesigned library i.e., Strongly Quiet = 1, Neutral = 3, Strongly Noisy =5 [15]. Then the surveyresults were used to guide the design of the new floors in the library. Potential drawbacks tosurveys are that they can reflect the preconceptions of the designer [9] and focus only on whatthe respondents say and think they need and not what they do [6]. There are countless articles,books, and professional services to aid their development and
to be on the information seeking behaviors of professional engineers ratherthan academics (Leckie et al., 1996). Some of the observations of professional engineers’information seeking behaviors clearly reflects the needs of their particular workplace settings.For example, researchers found a strong preference for professional engineers to work in teamsbecause of the increased facilitation of verbal communication, the ability to develop networksbased on trusted information, and the opportunities for richer feedback and contextualization(Fidel & Green, 2004; Freund, 2015). Professional engineers also rely on text-based documentsas information sources depending on the task and their knowledge of available sources (Freund,2015). When asking
users. This project provided inspiration for thesummer camp design challenge, with the goal of encouraging the students to consider how todesign for diverse populations.A secondary inspiration for the prompt was from the Innevation Center, another makerspace atthe University of Nevada, Reno, which developed an outdoor themed design challenge for a localcompetition they hosted earlier in the year [19]. This prompt focused on accessibility in theoutdoors. After consulting with their makerspace specialist, the fabrication librarian developed aprompt to reflect their design challenge, with a specification in water recreational activities.The prompt [appendix] explains the types of challenges individuals with disabilities may face,specifically
. It is noted that students will also have background and foundational literature they will discuss in the intro that will not show up in the Matrix. c. Students will use the research question skills learned in class to identify metadata they will collect from the studied papers and compare across the matrix. d. Finally, students will write a reflection on the process that includes their search strategies, experiences, and next steps. e. Timeliness is important. After a week, you will have both half-credit for the assignment and less time to develop your paper, so please chat with me early if you’re falling behind on this.7. Lit Review: Paper a. Students must follow
growth.The collaborations with the Engineering Wellness Coordinators reflect the value of saying yes tonon-traditional opportunities that arise. Liaison librarian work involves significant sustainedefforts to incrementally build in-roads with academic departments, with varying degrees ofsuccess dependent on the receptiveness and capacity of campus colleagues. When traditionalclassroom settings for Library instruction are not readily available, it can be very rewarding toexplore lateral pathways through alternative networks. It can be difficult to establish and build arelationship with instructors who may be reluctant towards integrating information literacy skillsinto their curriculum. In contrast, the campus colleagues working to support those
Communication 161 Total 962Also not reflected in these numbers is the use of our materials by our industrial stakeholders.After working with us as consultants, two of our industrial consultants requested access to thevideos for use in onboarding new employees. We gave them access to our videos, but we werenot able to give them access to our learning management system and the ability to earn badges,since Brightspace usage is restricted to Purdue affiliated users.Table 2 and Figures 1-3 contain selected comprehensive results of the feedback surveys fromstudents in the pilot courses. We chose to present comprehensive results (rather than results byclass, gender, etc.) since our aim for the pilot