- Online and distance learning, Education psychology,
- Education technology,
- Intelligent and Interactive Technologies in an Educational Context,
- Collaborative Learning in Online Environments,
- Models of Teaching and Learning,
- Evaluation on learning and teaching,
- Simulation on learning and teaching,
- Inequity and inequality in education.
[Regular]"The Effectiveness of Assessment Module in Taiwan Adaptive Learning Platform (TALP) for Remedial Instruction" by Bor-Chen Kuo
July 30 (CDT) 8:30 pM-9:00 PM
July 31 (BJT) 9:30 AM-10:00 AMJuly 31 (CET) 3:30 AM-4:00 AM
Bor-Chen Kuo, Tao-Yi Chang, and Li-Wei Chang, M. Ed.
Taiwan Adaptive Learning Platform (TALP), called Yin Tsai Wan (因材網) in Chinese, is the official learning platform of Ministry of Education (MOE) in Taiwan. TALP has applied artificial technologies to offer personal learning environment for students, and the learning material is designed underlying the framework of 12-year Basic Education Curriculum Guidelines. There are four subjects covered in this platform: Chinese, Mathematics, English, and Science. For its instructional repertoire, TALP provides thousands of videos for microlearning, adaptive assessments for diagnosing students’ weakness, and interactive modules for scaffolding learning through Intelligent tutoring agents. Though some studies suggested that assessment was crucial for an online learning platform (Azevedo & Azevedo, 2018), however, most studies have paid more attention to the implementation of instructional videos and its effectiveness on learning (Zengin, 2017；Khalil & Ebner, 2017). Our study aimed to explore whether using assessment module in TALP could assist students to promote their academic achievement in the context of remedial instruction. Four kinds of tests were included in the assessment module of TALP, they are: exercise, dynamic assessment, unit test, and cross-grade diagnosis test. Our study also examined whether tests applied adaptive feedback mechanism would be effective on remedial instruction.