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Design Thinking: A Cognitive Resource for Improving Workforce Analytics and Training Evaluation
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Zafar, Natasha; Asadullah, Muhammad Ali; Haq, Muhammad Zia Ul; Siddiquei, Ahmad Nabeel; Nazir, Sajjad – European Journal of Training and Development, 2023
Purpose: The firms use training evaluation practices (TEPs) to determine the return of billions of dollars spent on employee training and development activities. The firms need to modernize the set of TEPs for evidence-based workforce management decisions. This study aims to examine a mediation mechanism to explain how human resource (HR)…
Descriptors: Foreign Countries, Human Resources, Labor Force Development, Design
Evaluating the Performance of Continuous Analysis of Symmetrically Predicted Endogenous Subgroups in the Presence of Quadratic Effects
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Anthony Gambino – Society for Research on Educational Effectiveness, 2021
Analysis of symmetrically predicted endogenous subgroups (ASPES) is an approach to assessing heterogeneity in an ITT effect from a randomized experiment when an intermediate variable (one that is measured after random assignment and before outcomes) is hypothesized to be related to the ITT effect, but is only measured in one group. For example,…
Descriptors: Randomized Controlled Trials, Prediction, Program Evaluation, Credibility
Conditions for Effective Application of Analysis of Symmetrically-Predicted Endogenous Subgroups
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Peck, Laura R. – American Journal of Evaluation, 2015
Several analytic strategies exist for opening up the "black box" to reveal more about what drives policy and program impacts. This article focuses on one of these strategies: the Analysis of Symmetrically-Predicted Endogenous Subgroups (ASPES). ASPES uses exogenous baseline data to identify endogenously-defined subgroups, keeping the…
Descriptors: Program Evaluation, Credibility, Prediction, Sample Size
Data Mining in Online Professional Development Program Evaluation: An Exploratory Case Study
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Rice, Kerry; Hung, Jui-Long – International Journal of Technology in Teaching and Learning, 2015
This case study explored the potential applications of data mining in the educational program evaluation of online professional development workshops for pre K-12 teachers. Multiple data mining analyses were implemented in combination with traditional evaluation instruments and student outcomes to determine learner engagement and more clearly…
Descriptors: Case Studies, Online Courses, Program Evaluation, Faculty Development
Integrating Data Mining in Program Evaluation of K-12 Online Education
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Hung, Jui-Long; Hsu, Yu-Chang; Rice, Kerry – Educational Technology & Society, 2012
This study investigated an innovative approach of program evaluation through analyses of student learning logs, demographic data, and end-of-course evaluation surveys in an online K-12 supplemental program. The results support the development of a program evaluation model for decision making on teaching and learning at the K-12 level. A case study…
Descriptors: Web Based Instruction, Databases, Virtual Classrooms, Decision Support Systems
Evaluation of an Interdisciplinary, Physically Active Lifestyle Course Model
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Fede, Marybeth H. – ProQuest LLC, 2009
The purpose of this study was to evaluate a fit for life program at a university and to use the findings from an extensive literature review, consultations with formative and summative committees, and data collection to develop an interdisciplinary, physically active lifestyle (IPAL) course model. To address the 5 research questions examined in…
Descriptors: Physical Activities, Grade Point Average, Leisure Time, Physical Fitness