The Center for excellence in e-Learning Sciences
- The R&D of i4 future learning environment, in collaboration with leading foreign institutes especially in the areas of computer science or science education, proposes to develop an innovative science learning environment which integrates modern technologies (image processing, speech processing, automatic video processing, speech recognition, mobile technologies, machine translation, natural language processing, data mining, machine learning, etc) with the aims to create an intelligent classroom that supports individualized and interactive learning materials and assessment tools. To realize the aforementioned goals, we bring together a group of experts in the area of science education, cognitive science, computer science, and computer engineering to work on two major research topics:
- Classroom 2.0, to establish the envisioned future classroom; and
- Testing 2.0, to pioneer new technologies on assessment.
- Changes and effects along four directions will be investigated and evaluated under the innovative learning environment: teachers' teaching approaches (TTA), students' learning strategies (SLS), student-teacher interactions (STI), and student science learning outcomes (SLO) in both cognitive and affective domains including students’ domain knowledge, higher-order thinking ability and attitudes and motivation in the subject matters. In particular we will look into the effects such an innovative science learning environment and students’ preferred-actual learning environment spaces have on the TTA, SLS, STI, and SLO in the school. Expected outcome includes working model of a truly smart classroom that allows for sweep upgrade of current (technology-enabled) classrooms to smart classrooms, new pedagogical models for teaching and learning in the i4 learning environment, and technologically enhanced way for data collection and interpretation on science educational researches.