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This study examined the implementation of an agile-blended learning (ABL) approach in a master-level early childhood research course and assessed its impact on the learning experience. The purpose was to understand how incorporating ABL concepts affected flexibility, learner autonomy, collaboration and technology mediation, the core principles of ABL.

A participatory case study methodology was employed to gather insights from 40 students regarding their experiences in the redesigned research course. Data were collected through interviews, observations and document analysis. Qualitative data were thematically analyzed and quantitative data descriptively analyzed.

ABL fostered flexibility, convenience and learner autonomy. However, students desired richer interpersonal interactions. Technological integration enhanced learning, but social presence was lacking.

The study was limited to a specific master-level early childhood education course and focused on a particular group of students. Further research is needed to examine the generalizability of the findings in different educational contexts and student populations.

Recommendations include ongoing professional development and support systems to optimize ABL realization. Sustaining ABL practices necessitates flexible, empowering institutional structures.

This study contributes to the literature by exploring the potential of ABL in the context of early childhood research education. It provides empirical evidence of the benefits of ABL for increased flexibility, learner autonomy, collaboration and technology mediation. The case study design adds to the originality by offering insights into the practical implementation of ABL in an educational setting.

Increasing overhang of serviced apartments poses a serious concern to the national property market. This study aims to examine the impacts of macroeconomic determinants, namely, gross domestic product (GDP), consumer confidence index (CF), existing stocks (ES), incoming supply (IS) and completed project (CP) on serviced apartment price changes.

To achieve more accurate, quality price changes, a serviced apartment price index (SAPI) was constructed through a self-developed hedonic price index model. This study has collected 1,567 transaction data in Kuala Lumpur, covering 2009Q1–2018Q4 for price index construction and data were analysed using the vector autoregressive model, the vector error correction model and the fully modified ordinary least squares (OLS) (FMOLS).

Results of the regression model show that only GDP, ES and IS were significantly associated with SAPI, with an R² of 0.7, where both ES and IS have inverse relationships with SAPI. More precisely, it is predicted that the price of serviced apartments will be reduced by 0.56% and 0.21% for every 1% increase in ES and IS, respectively.

Therefore, government monitoring of serviced apartments’ future supply is crucial by enforcing land use-planning regulations via stricter development approval of serviced apartments to safeguard and achieve more stable property prices.

By adopting an innovative approach to estimating the response of price change to supply and demand in a situation where there is no price indicator for serviced apartments, the study addresses the knowledge gap, especially in terms of understanding what are the key determinants of, and to what extent they influence, the SAPI.