. In fact, many of the ideas presented by theassociation are extracurricular in nature, which has been found to be ineffective for reachingengineering graduate students, according to meta-synthesis [1]. While librarians are oftenspecialized in the areas engineering graduate students lack and seek personal mentorship in, theyare often stuck in providing that support by ineffective means. The typical engineering curriculum does not have courses on research methods, few havecourses on research integrity or publication ethics, proposing research, writing, peer reviewing,or how your worldview influences your research [4, 5]. Published engineering literature, in fact,often leaves many of these important aspects of research as assumed [5
– for students, researchers, educators, andhigher education in general.The Challenge of AI in Higher Education In higher education, students are expected to learn how to conduct research in theirchosen field and communicate it effectively. However, students are increasingly preferring AIchatbots to perform essential parts of the research process, from information seeking to dataanalysis to even writing research papers. A 2023 study indicates that 49% of higher educationstudents have adopted language AI tools to write assignments and answer homework questions[6]. This indicates that students are automating essential parts of the research and learningprocesses, which could, potentially, impact their readiness for the workforce after
broad, general study investigating thistopic. What does exist, however, are assessments that examine specific institutional programsaimed at encouraging faculty to author their own OER, as well as written guides aimed at facultywho are writing OER, often associated with these same institutional programs.In a study of an institutional initiative at Rutgers, which was aimed at getting more faculty toadopt or author OER for their classrooms [9], the authors surveyed 30 faculty participating in theinitiative. These faculty members were a relatively even mix of tenure-track and non-tenure-trackfaculty with a broad range of experience in terms of years of teaching. The respondentsrepresented a variety of fields, though it should be noted that despite
experiment or extracting from other research 6. Analyze the data 7. Check the results against the hypothesis 8. Write up whether the hypothesis was correct or incorrect 9. Reassess and develop a new experiment, identify different variables or biasesWe compared our list of steps to the following list, which was prepared before lecture by theinstructor based on their own experience and interpretation: 1. Make an observation 2. Ask a question 3. Develop a hypothesis 4. Do background research and identify appropriate variables 5. Conduct an experiment to test the hypothesis and selected variables 6. Analyze results 7. Write conclusions 8. IterateSeveral parallels exist between the two lists, with the major
physical or online resources, services in the building, online, or in class, etc.)Text examples from presentation [11]Focus groups encourage conversation between peers so researchers can learn their thoughts andopinions. A potential way to structure those conversations is either open or closed card sorting.Card sorting asks a group a broad question such as “what are the strengths of the library” andindividuals arrange cards using a category tree [6]. Open card sorting is when the focus group ishanded a blank set of index cards or sticky notes and invited to write down whatever they chooseto. In a closed card sorting conversation, the cards are already filled out by the researchers andthe group organizes them. A variation of this is the nine
faculty so we can't use them." and "getting feedback from students on whatworks well".Go it Alone. Definition: The instructor either creates their own IM, modifies existing IM to suittheir course needs, and/or indicates they select existing IM using their own judgment andknowledge.Seven instructors mentioned creating or selecting IM alone, without the involvement of others, inresponses to questions 5, 6, & 7. Examples include "I write and distribute some materialsmyself" and "Materials developed by colleagues and myself".Peers & Colleagues. Definition: When an instructor mentioned persons or groups of personsthat influence their IM selection decisions, such as faculty, instructors, or institutional employeesboth within and outside of the
Thoughts: Increased interest Actions: Seeking relevant or focused information Kuhlthau task: Complete information searchPresentation Feelings: Relief/satisfaction or disappointment Group task: Write or present Thoughts: Clearer or focusedFigure 1 – Levels of the Information Search Process along with activities and tasks indicative ofeach level. [28]The six stages in the ISP, summarized in Figure 1, are: • initiation, when the researcher is looking for background information and feels uncertain or apprehensive about the research
academia. On-the-jobinformation needs move at a more rapid pace and employers provide less specific guidance thanacademic instructors, making it difficult for new university graduates to solve informationproblems [1]. For engineering and technology students, workplace information use involves lessof the sources that are traditionally emphasized in academia (e.g., peer reviewed journal articles,books) and more of the resources heavily relied upon in industry, such as technical standards [2],[3], [4], [5]. Additionally, workplace projects require a high degree of interpersonal informationgathering and communication with colleagues [6], [7].Recent research from American Association of Colleges and Universities (AAC&U) indicatesthat employers view
differentfrom their advisor’s approach) for their thesis or dissertation projects. One additional purposethese graduate students had for searching was to more broadly find literature in their disciplinaryfield. This was especially the case for graduate students whose labs held journal clubs ormeetings where they were expected to regularly share and report out on current literature.The five faculty participants also had multiple reasons for searching the scholarly literature.Some were actively engaged in writing grant proposals and needed literature to demonstrate therelevance of their proposed projects. Faculty also searched the literature to keep tabs on whattheir academic competitors were doing, as well as to look for inspiration from peers in their
"Desirable Characteristics of DataRepositories for Federally Funded Research" [1], outlining a set of recommended features andqualities that are considered desirable for data repositories handling research data resulting fromfederally funded research. The document establishes a set of standards and guidelines to ensurethat data resulting from federally funded projects is preserved in repositories that effectivelymanage and disseminate it.On August 25, 2022, Dr. Alondra Nelson, then Acting Director of OSTP, issued a Memorandum[2] recommending that all federal agencies formulate new plans or update existing ones,outlining their approach to ensuring public access to peer-reviewed publications and the researchdata associated with federally funded