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Hung, Pi-Hsia; Lin, Yu-Fen; Hwang, Gwo-Jen – Educational Technology & Society, 2010
Ubiquitous computing and mobile technologies provide a new perspective for designing innovative outdoor learning experiences. The purpose of this study is to propose a formative assessment design for integrating PDAs into ecology observations. Three learning activities were conducted in this study. An action research approach was applied to…
Descriptors: Foreign Countries, Feedback (Response), Action Research, Observation

Coates, Dennis; Humphreys, Brad R. – Educational Technology & Society, 2001
Assesses the effectiveness of supplementary Web-based materials and activities in traditional introductory college economics courses. Results suggest that faculty should focus more on developing self-test quizzes and effective bulletin board discussion projects as opposed to generating online content related to text or lecture notes. (Author/LRW)
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Conventional Instruction, Discussion (Teaching Technique)
Gogoulou, Agoritsa; Gouli, Evangelia; Grigoriadou, Maria; Samarakou, Maria; Chinou, Dionisia – Educational Technology & Society, 2007
In this paper, we present a web-based educational setting, referred to as SCALE (Supporting Collaboration and Adaptation in a Learning Environment), which aims to serve learning and assessment. SCALE enables learners to (i) work on individual and collaborative activities proposed by the environment with respect to learners' knowledge level, (ii)…
Descriptors: Teacher Education Programs, College Students, Student Attitudes, Foreign Countries
Liu, Chao-Lin – Educational Technology & Society, 2005
The author analyzes properties of mutual information between dichotomous concepts and test items. The properties generalize some common intuitions about item comparison, and provide principled foundations for designing item-selection heuristics for student assessment in computer-assisted educational systems. The proposed item-selection strategies…
Descriptors: Test Items, Heuristics, Classification, Item Analysis