Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Measuring leadership development in workplace learning using automated assessments

Learning analytics and measurement theory approach

Bibliographic Data

ID21297754
AuthorsAbhinava Barthakur (0000-0002-2437-6892, University of South Australia Adelaide South Australia Australia, corresponding author), Vitomir Kovanovic (0000-0001-9694-6033, University of South Australia Adelaide South Australia Australia), Srecko Joksimovic (0000-0001-6999-3547, University of South Australia Adelaide South Australia Australia), Zhonghua Zhang (0000-0002-0073-9548, The University of Melbourne Melbourne Victoria Australia), Michael Richey (0000-0001-8293-5720, University of South Australia Adelaide South Australia Australia), Abelardo Pardo (0000-0002-6857-0582, University of South Australia Adelaide South Australia Australia)
Year2022
Volume53
Issue6
Pages1842-1863
Publication date2022-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueBritish Journal of Educational Technology (JOURNAL)
Journal identifiersISSN: 0007-1013 • E-ISSN: 1467-8535
PublisherWiley (PUBLISHER • GB)
DOI10.1111/bjet.13218
OpenAlexW4220871021
LanguageEN
Citations received3
References cited57

Technological affordances have shown promising potential in advancing the delivery of corporate learning programmes designed for professional leadership development. However, there is a considerable challenge in evaluating learners' skill acquisition, with most of the past research relying on pre‐ and post‐tests or other forms of self‐reports to measure leadership development. In that sense, these approaches measure leadership development before and after the programme, while being inefficient for measuring the development during the learning process. This study collected self‐reflection answers from a professional development MOOC that allows learners to express their stepwise learning and reflect on their professional experience on leadership fronts. We developed a novel methodology and an automated system for the evaluation of leadership skills' mastery based on the depth of reflection exhibited during the learning process. We identified four groups of learners based on their course content mastery and explored the differences within groups. The results also highlight relevant insights about instructional design and provide promising avenues for future research. Practitioner notes What is already known about this topic Professional leadership programmes have become increasingly common in workplace learning. Programmes mainly use manual/introspective measures to assess skill acquisition. What this paper adds An automated assessment system to evaluate leadership skill mastery. Evidence‐based and leadership driven inferences about skill acquisition. Use of a novel multidisciplinary methodology for complex skills assessment. Implications of practice and/or policy Assessing leadership development should include more than course grades. Assessing differences in content mastery requires evaluation of various skills. Developed assessment system provides promise for other similar domains.

Affordance · Dreyfus model of skill acquisition · Introspection · Knowledge management · Leadership development · Management · Mathematics education · Pedagogy · Process (computing) · Professional development · Computer Science · Evaluation of Teaching Practices · Higher Education and Employability · Online Learning and Analytics · Psychology

  • Training future primary teachers in historical thinking through error-based learning and learning analytics

    Open Access•Sergio Tirado‐Olivares, Roberto C Gutierrez et al.•Humanities and Social Sciences…•2023

  • Challenges and opportunities for classroom-based formative assessment and AI

    Open Access•Therese N Hopfenbeck, Zhonghua Zhang et al.•Frontiers in Education•2023

  • Building personalised homework from a learning analytics based formative assessment

    Open Access•José Antonio Rodríguez‐Martínez, José Antonio González-Calero et al.•British Journal of Educational…•2023

  • On the Theory of Scales of Measurement

    Open Access•S S Stevens•Science•1946

  • Focus Article

    Robert J Mislevy, Linda S Steinberg et al.•Measurement: Interdisciplinary…•2003

  • Rule Space

    Open Access•Kikumi K Tatsuoka•Journal of Educational Measurement•1983

  • Higher-Order Latent Trait Models for Cognitive Diagnosis

    Open Access•Jimmy de la Torre, Jeffrey A Douglas•Psychometrika•2004

  • Cutoff criteria for fit indexes in covariance structure analysis

    Li‐tze Hu, Peter M Bentler•Structural Equation Modeling: A…•1999

  • Computational Social Science

    Open Access•David Lazer, Alex Pentland et al.•Science•2009

  • Opening the black box

    Open Access•Brian M Doornenbal, Brian R Spisak et al.•The Leadership Quarterly•2022

  • Just what do we think we are doing? Learning outcomes of leader and leadership development

    Open Access•David Wallace, David M Wallace et al.•The Leadership Quarterly•2021

  • Assessing program-level learning strategies in Moocs

    Open Access•Abhinava Barthakur, Vitomir Kovanovic et al.•Computers in Human Behavior•2021

  • A four‐category scheme for coding and assessing the level of reflection in written work

    David Kember, Jan McKay et al.•Assessment & Evaluation in Higher…•2008

  • Measuring the Outcomes of Leadership Development Programs

    Open Access•Alice M Black, Garee W Earnest•Journal of Leadership &…•2009

  • Identifying Critical 21st-Century Skills for Workplace Success

    Open Access•Joseph A Rios, Guangming Ling et al.•Educational Researcher•2020

  • Public‐Sector Leadership Theory

    Open Access•Montgomery Van Wart•Public Administration Review•2003

Unique citing works3
Citations per year1
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 3

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae