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Record W308042879

Innovations in Practice: Drop-In Clinics for Environmental Studies Students

2008· article· en· W308042879 on OpenAlexvenueaboutno aff
M. Jacklin, Karen Bordonaro

Bibliographic record

VenuePartnership The Canadian Journal of Library and Information Practice and Research · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsSession (web analytics)Information literacyDrop outLibrary instructionMathematics educationMedical educationPsychologyComputer sciencePedagogyMedicineWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

Abstract The delivery of library instruction to students in those areas of the sciences and the social sciences dealing with biology and the environment has a long history (Bowden & Di Benedetto 2001; Kutner 2000; Kutner & Danks 2007; Sapp 2006; Sinn 1998). Often these instruction sessions take the form of a one hour lecture or workshop at the start of a semester before the students have begun their projects or papers. This one-shot approach, though popular, has its limitations. It may not be offered at a time when the students will actually start making use of library resources, it may not be tied very specifically to a particular assignment, or it may be too general in nature to be of much use to students later on when they need to look at particular topics in much more depth than can be addressed in one such session. The following article describes another approach: the strategic use of drop-in clinics as a method of instruction in which the students themselves determine how the instruction proceeds. Keywords Faculty-Librarian Collaboration; Information Literacy; Research Skills; Self-Directed Learning; Drop-In Clinics Introduction The drop-in clinic model has been discussed in the library literature as a way to support students outside the physical classroom (Bergen & MacAdam 1985; Christensen 1994; Debreczeny 1985). Earlier views described it as a method to help students improve their writing in tandem with their library skills. Rather than focusing on improvement in writing skills, the practice described in this article uses the drop-in clinic as a way to improve student learning. The new model of the drop-in clinic is grounded in ideas of scaffolding and constructivism. Scaffolding is a method of acquiring knowledge, and constructivism is a theory of how knowledge grows. The ERIC Thesaurus defines scaffolding as: Temporary support or assistance, provided by a teacher, peer, parent, or computer, that permits a learner to perform a complex task or process that he or she would be unable to do alone-the technique builds knowledge/skills until learners can stand on their own, similar to scaffolding on a building (ERIC Thesaurus 2003). In library terms, scaffolding refers to assistance received from student peers, classmates, the professor, the librarian or others in completing library tasks (Bordonaro 2004). Constructivism is a learning theory that proposes that new knowledge is constructed through building connections between what is known and unknown (Fosnet 2005). Constructivism in library contexts occurs when students add new knowledge to their prior existing knowledge base about how to efficiently find and use appropriate library resources. In the drop-in model discussed in this article, the focus is on the building of student selfknowledge in the subject area of environmental studies. The librarian in this new model is a facilitator helping students acquire new subject knowledge rather than a mentor helping students improve their generic writing skills. Background This article describes the use of drop-in clinics as an instructional tool at the James A. Gibson Library, Brock University in St. Catharines, Ontario. Brock University is a midsize university in southern Ontario that offers both undergraduate and graduate degrees in the arts and sciences. This university is currently undergoing a transformation to become a more research focused graduate institution. It is in light of this transformation that this new approach to library instruction has been tested. A stronger pedagogical emphasis on enabling students to become more self-directed learners provided a good opportunity to test this new form of instruction. The drop-in clinic approach was conducted with undergraduate environmental studies students in a course called TREN 1F90, Sustainability, Environment and Tourism. This course, aimed at first year students, is offered every fall, and it generally enrolls about 300 students. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.809
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.113
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.139
GPT teacher head0.460
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2008
Admission routes2
Has abstractyes

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