Effective Methods for Teaching Information Literacy Skills to Undergraduate Students: A Systematic Review and Meta-analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective - The objective of this review was to assess which library instruction methods are most effective for improving the information skills of students at an introductory, undergraduate level, using cognitive outcomes (measuring changes in knowledge). The study sought to address the following questions: 1) What is the overall state of research on this topic? 2) Which teaching methods are more effective? Methods - Systematic review methodology was used. Fifteen databases were searched for relevant articles retrieving 4356 potentially relevant citations. Titles and abstracts were reviewed for relevance. Of those, 257 full articles were considered in-depth using a predetermined inclusion/exclusion form. 122 unique studies met the inclusion criteria and underwent an extensive data extraction and critical appraisal process. 55 of these studies met author defined quality criteria to provide information on the effectiveness of different teaching methods. Of these, 16 studies provided sufficient information to enable meta-analyses using standardized mean difference to be undertaken. Results - The overwhelming majority of studies were conducted in the United States (88%). 79 studies (65%) used experimental or quasi-experimental research methods. Teaching methods used in the studies varied, with the majority focused on traditional methods of teaching, followed by computer assisted instruction, and self-directed independent learning. Studies measured outcomes that correlated with Bloom’s lower levels of learning (Remember, Understand, Apply). 16 studies compared traditional instruction with no instruction, and 12 found a positive outcome. Meta-analysis of the data from 4 of these studies agreed with the positive conclusions favouring traditional instruction. 14 studies compared computer assisted instruction with traditional instruction. 9 of these showed a neutral result, and meta-analysis of 8 of these studies agreed with this neutral result. 6 studies compared self-directed independent learning with no instruction, and meta-analysis of 5 of these agreed that the result was positive in favour of self-directed independent learning. Conclusions - Based on the results of this meta-analysis, there is sufficient evidence to suggest that computer assisted instruction is as effective as traditional instruction. Evidence also suggests that both traditional instruction and self-directed independent instruction are more effective than no instruction. Additional comparative research needs to be done across different teaching methods. Studies comparing active learning, computer assisted instruction, and self-directed independent learning would greatly enrich the research literature. Further studies utilizing appropriate methodologies and validated research tools would enrich our evidence base, and contribute to the growth of knowledge about effectiveness of particular teaching methods.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.648 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it