Faculty integration of computer-mediated learning technologies into teaching praxis
Bibliographic record
Abstract
The purpose of the study was to examine organizational structural, cultural, pedagogical, and economic (reward system) elements of a traditional research-oriented university for influences on faculty adoption of computer-mediated learning technologies (CMLTs). Emergent driving and restraining societal and organizational influences (Lewin, 1951) on faculty members' adoption of CMLTs were examined. Faculty members' perceptions of the extent to which university policies and practices were aligned to support the successful design, development, and implementation of CMLTs were explored. A case study of faculty members, who had led CMLT development teams in a provincially funded Technology Enhanced Learning (TEL) initiative at one university between 2000 and 2005, was conducted in four stages. In the first stage of the study, focus groups and members' checks were held with instructional designers in order to identify potentially information-rich CMLT projects. Findings from this included an examination of the social negotiation process among members of CMLT development teams, and provided the bases for selecting faculty members to invite to participate in the study. Stage Two was a pilot of the faculty interview protocol that resulted in protocol refinement. In Stage Three, seven faculty members and one graduate student participated in interviews and members' checks of the results. Faculty members were asked to describe their motivations for adopting CMLTs into teaching praxis, any resultant changes to their scholarship of teaching, the compensation they received for time invested in pedagogical and technological innovation, and the extent to which institutional structures, cultures, and policies had supported or impeded their efforts. Stage Four involved an environmental scan of institutional and provincial documentation of the TEL initiative as an avenue to corroborating interview data. In this study, it was found that faculty motivations for CMLT adoption included individual responses to departmental initiatives, curricular renewal and standardization activities, personal-professional development, integrating research into teaching, enhancing student learning, increasing the flexibility of student access to learning opportunities, and improving communications with students. Participants reported a variety of resultant changes to their scholarship of teaching: (1) a shift away from traditional lectures and toward learner-focused tutorials, small group and peer-to-peer discussions, and independent learning opportunities for students accessing electronic learning resources; (2) a new or renewed interest in using innovative instructional strategies and learning environments; and (3) a new or heightened interest in researching educational effectiveness. Organizational support for CMLT projects included fiscal support from the TEL program, and in some cases, additional funding provided by departments or colleges; project management support from the institution; pedagogical support from instructional designers; technical and aesthetic support from information technologists, media developers, graphic artists, and a medical illustrator. Organizational and cultural impediments to successful completion of projects varied across college settings. Lack of sufficient time to devote to CMLT development projects, balancing competing research, teaching, and administrative responsibilities with project activities, and therefore, coping with a mismatch between tenure and promotion requirements and necessary time commitments to CMLT projects were pervasive. Difficulties in coordinating large development teams, the slow pace of acquiring approvals for new programs, problematic project management models, and colleagues' skepticism about and fear of integrating technology into teaching were common themes. This study surfaced implications for organizational change that could better enable faculty efforts to adopt CMLTs. Expanding tenure and promotion criteria to include CMLT development work (Archer, Garrison, & Anderson, 1999; Hagner & Schneebeck, 2001) and revising intellectual property policies for CMLT artifacts to better acknowledge faculty efforts (Hilton & Neal, 2001; Tallman, 2000) could do much to encourage the integration of technology into teaching. Promoting educational effectiveness research studies (Chyung, 2001), and bringing CMLT efforts in from the margins to become a core activity in the scholarship of teaching (Bates, 2001) could erode current skepticism and fear about technologies displacing faculty members (Olcott & Schmidt, 2000). Finally, in this study, theoretical implications for organizational change were posited. Traditional centralized and bureaucratic management styles are not well suited to supporting CMLT initiatives in higher education (Bates, 2001). A more distributed approach to leadership (Knapper, 2006) could better support necessary efforts to innovate, experiment, prototype, evaluate in order to incrementally improve project outcomes (Suter, 2001), create synergies between teaching and research activities, and garner faculty commitment to integrating computer-mediated learning technologies into contemporary teaching praxis.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".