The Hong Kong Early Child Development Scale (HKECDS) is a tool for assessing holistic early child development in preschoolers aged from three to six years. The original version of the scale, HKECDS, was updated in 2019 (HKECDS-2) to reflect the contemporary context and local curricular expectations. Children (n = 144) from three kindergartens in Hong Kong completed the HKECDS-2 in individual sessions. Rasch model analysis and expert discussions resulted in a short version of the scale (HKECDS-3) with 50 items in nine domains. The domains are Personal and self-care (4 items), Language development (7 items), Pre-academic learning (10 items), Cognitive development (6 items), Gross motor (4 items), Fine motor (2 items), Health and safety (5 items), Moral development (6 items), and Society and environment (6 items). There were significant correlations between findings from the updated version of the tool, HKECDS-3 and the HKECDS-2 (long form), and older children had significantly higher scores than younger children. Copyright © 2022 by THE PACIFIC EARLY CHILDHOOD EDUCATION RESEARCH ASSOCIATION.

This study examined the design of a computer-supported environment using online discussion for alignment of learning, collaboration and assessment. Participants were 155 student teachers attending a course in psychology of classroom learning in a teacher education program in Hong Kong. The design included students contributing to online forum; engaging in regular discussion; and reflecting on their discourse. For reflective assessment, student teachers identified three best examples (clusters of notes) from the class community’s discourse and explained why they were important for their inquiry. Data consisted of questionnaires on epistemic beliefs and collaboration; students’ postings on online forum; reflective assessment notes (3 best clusters of notes); and end-of-term theory-practice summary paper. Correlation analysis show that students’ beliefs about collaboration was related to their beliefs about knowledge (development); as well, regression analysis indicate that reflective assessment scores significantly predict summary paper (domain understanding). Implications of examining both individual and community learning through reflective assessment in computer-supported environments are discussed. Copyright © 2018 EARLI.