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Record W3163485689 · doi:10.1111/bjet.13122

Creating technology‐enabled lifelong learning: A heutagogical approach

2021· article· en· W3163485689 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBritish Journal of Educational Technology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Leadership and Innovation
Canadian institutionsAthabasca UniversityUniversité de SherbrookeUniversity of Calgary
Fundersnot available
KeywordsLifelong learningExperiential learningBlended learningEducational technologyComputer scienceSynchronous learningCompetence (human resources)Context (archaeology)Learning sciencesActive learning (machine learning)Instructional designCooperative learningKnowledge managementPedagogyTeaching methodPsychologyMultimediaArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Can a new instructional approach influence lifelong learning and the development of competent lifelong learners? Blended and online learning provides a platform for learning that introduces technological affordance to enable learning. We seek to find an intersection between blended and online learning and lifelong learning through an instructional approach that encourages learners towards management of their own learning. This opens the door to becoming an autonomous, capable, self‐directed lifelong learner. In this context, heutagogy offers an instructional approach that may connect blended and online learning settings with the development of lifelong learning competence. After conducting a systematic literature review using the terms heutagogy, blended and online learning, and lifelong learning, literature that considers how to inspire and build human agency capabilities over the lifespan was chosen for Delphi method expert review. Using this methodology, we explore the possibility that online and blended higher education will contribute, where heutagogical experiences exist, to technology‐enabled lifelong learning. Results corroborate the idea that heutagogy and lifelong learning are intertwined by some common principles and that these are applicable to both blended and online learning settings and lifelong learning. Practitioner notes What is already known about this topic Recent, and what is often continuous, change is impacting all we do, including the design and delivery of education. This change requires new instructional models that improve immediate learning outcomes and prepares learners for learning across the lifespan. The use of instructional processes labeled heutagogy include the opportunity for, and application of, activities of learning self‐direction, ‐determination, and ‐regulation, which can be helpful, even essential, for lifelong learning. What this paper adds This paper identifies an informed perspective, from data, that heutagogical design must be consciously implemented and supported for online and blended learning by instructional designers, instructors, and institutional leadership and infrastructure. It is reasonable to suggest that online and blended learning could contribute, where heutagogical learning opportunities exist, to technology‐enabled lifelong learning. Instructional practices that include choice, flexible or negotiated assessment, facilitation of reflection, learner confidence development, and involvement of the learner in designing their learning can be considered heutagogical. Implications for practice and/or policy Develop policy in support of a change in instructional practice that embraces a heutagogical approach in the design of courses to foster greater self‐directed and lifelong learning. Educational development to support instructors to understand heutagogy and how it can be applied in the design and delivery of blended and online learning to foster technology enabled lifelong learning. With the implementation of a heutagogical approach, student orientation along with purposeful scaffolding needs to be implemented to support students as they become more autonomous learners in technology‐enabled settings.

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 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)0.001
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.331
Teacher spread0.297 · 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